{ "count" : 126853, "data" : [ { "id" : "6a2cafed74d8ee00a09d83b3", "title" : "Software Engineering Apprenticeship Programme", "company" : "Skyscanner", "industry" : "Engineering", "salary" : { "min" : 25000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Glasgow", "locations" : [ "Glasgow" ], "certifications" : [ "SVQ Level 8 in Software Development" ], "timestamp" : "2026-06-15T07:57:24.579", "fingerprint" : "4ef94fa125242e10f03e37fd11e83957ae66709a4dc08bc335ae347678075d70", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/a6acd6ba-87f7-4853-96a7-0132e76afb3a/application", "externalId" : "a6acd6ba-87f7-4853-96a7-0132e76afb3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Glasgow", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.8611550,-4.2501687" } ], "locationText" : "Glasgow, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Develop real software engineering skills, Contribute to work, Join engineering teams, Work, Skyscanner engineers, Learn how modern tech teams plan, Learn how modern tech teams build, Learn how modern tech teams test, Learn how modern tech teams ship, Work towards an SVQ Level 8, Take part in structured onboarding, Build professional confidence, Grow communication skills, Grow teamwork skills, Grow workplace skills, Learn safely and steadily, Have regular check-ins, Receive mentoring, Receive guidance, Help shape the future, Build an even better apprenticeship pathway", "teamCollaboration" : "Embedded in engineering teams; Learning with others; Sharing ideas; Being part of a team", "continuousLearning" : "Protected learning day; Dedicated learning time; Tailored development and support; Mentoring and guidance", "problemSolvingSkills" : "Problem-solving minded; Spotting patterns; Fixing bugs; Making something work better", "qualificationsBasic" : "National 5 Maths, National 5 English, At least one Higher qualification, Aged 16 or over", "qualificationsPreferred" : "Curious about technology, Problem-solving minded, Collaborative by nature, Open to feedback", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT SKYSCANNER Everyone loves travelling, but planning is not without its challenges ✈️. That’s why we’ve spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily. Joining Skyscanner means becoming part of a global brand that’s striving to become the planet’s go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world’s number one travel ally. (Ambitious? Yes, but, hey, that’s what got us here) ABOUT THE ROLE: We’re launching our Modern Apprenticeship Programme in Software Engineering: a brand-new pathway into tech for people ready to learn, build and start their career without taking the traditional university route. Based in our Glasgow office, you’ll join Skyscanner as a full-time employee on an 18-month fixed-term contract while working towards an SVQ Level 8 in Software Development. You’ll spend four days a week embedded in engineering teams, with one protected learning day dedicated to your qualification and development. WHAT YOU’LL BE DOING: - Learning by building: You’ll develop real software engineering skills while contributing to work that helps millions of travellers explore the world more easily. - Joining engineering teams: You’ll spend four days a week working alongside Skyscanner engineers, learning how modern tech teams plan, build, test and ship. - Studying with support: You’ll work towards an SVQ Level 8 in Software Development with QA, with dedicated learning time built into your week. - Getting to know Skyscanner: You’ll take part in structured onboarding covering our tools, teams, ways of working and all the “what does that acronym mean?” essentials. - Building professional confidence: You’ll grow your communication, teamwork and workplace skills through tailored development and support. - Learning safely and steadily: You’ll have regular check-ins, mentoring and guidance from managers, teams and our Emerging Talent crew. - Helping shape the future: As part of our first pilot cohort, your experience will help us build an even better apprenticeship pathway for future talent. ABOUT YOU: - Curious about technology: You’re excited by software engineering and keen to understand how great digital products are built. - Some academic foundations help: You must have National 5 qualifications in Maths and English, plus at least one Higher qualification. - Problem-solving minded: You enjoy figuring things out, whether that’s spotting patterns, fixing bugs or making something work better. - Collaborative by nature: You like learning with others, sharing ideas and being part of a team. - Open to feedback: You’re comfortable trying, learning, improving and occasionally discovering that the computer was right all along. - Excited to start your career: Due to apprenticeship funding requirements, applicants must be aged 16 or over at the start of the programme. OUR RECRUITMENT PROCESS: 1. Apply online: Tell us a bit about yourself, and why this opportunity caught your eye. 2. What Happens Next: If your application catches our eye, you’ll be invited to a virtual chat with our Early Careers team. 3. Final Step: Shortlisted candidates will be invited to an in person Discovery Day on 4th or 5th August. Through a series of collaborative and practical activities, you’ll have the chance to demonstrate your curiosity and approach to problem-solvingThe day is designed to focus on your potential, giving you a real feel for life at Skyscanner while helping us get to know you. Key dates to know: Applications open on 1 June 2026 and close on 6 July 2026, so don’t leave it to the last minute. Salary: £25,000 per annum What it’s like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️building things that help travellers explore the world a little easier. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We’re proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We’re committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Software Engineering Apprenticeship Programme at Skyscanner. Develop real software engineering skills. Contribute to work", "createdAt" : "2026-06-14T02:17:14.735", "lastUpdated" : "2026-06-15T07:57:24.579", "ingestTimestamp" : "2026-06-14T02:17:14.735", "mongoId" : "6a2cafed74d8ee00a09d83b3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "SVQ Level 8 in Software Development" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f81a", "title" : "Advanced Modern Apprenticeship (AMA) Program", "company" : "Mercedes-Benz", "industry" : "Manufacturing", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Puchong, Malaysia, adjusted for company size and specific program." }, "location" : "Malaysia-Selangor Darul Ehsan-Puchong", "locations" : [ "Malaysia-Selangor Darul Ehsan-Puchong", "16A Jalan BK 1/13, , Puchong" ], "timestamp" : "2026-06-15T11:51:10.689", "fingerprint" : "2ba61471cbd8fa5d66aa672e9b71e3405dfdacc528a1671b10463c7b68c1dcca", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=884871", "externalId" : "884871", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Puchong", "state" : "Selangor Darul Ehsan", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0342324,101.6170345" } ], "locationText" : "Puchong, Selangor Darul Ehsan, Malaysia", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "softSkillsList" : [ "Interpersonal skills" ], "softSkills" : [ { "name" : "Interpersonal skills" } ], "coreResponsibilities" : "Train as Passenger Car Technician", "domainKnowledge" : "Passenger Car Technology", "domainList" : [ "passenger-car-technology" ], "domainSpecificKnowledge" : [ "Passenger Car Technology" ], "qualificationsBasic" : "Completed SPM with 3 credits, Pass in English, Aged between 17 and 22", "qualificationsPreferred" : "Vocational college with > 3.0 CGPA", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mercedes-Benz is seeking driven and ambitious young talents to join its fully sponsored Advanced Modern Apprenticeship (AMA) Program, training as Passenger Car Technicians within our extensive dealer network across Malaysia. Through our state-of-the-art, purpose-built Training Academy in Puchong Kinrara, we are committed to nurturing exceptional talent, building rewarding careers, and developing world-class expertise with one of the most iconic and respected luxury automotive brands in the world. Why choose the Mercedes-Benz Advanced Modern Apprenticeship Program? The Mercedes-Benz AMA Program offers you: The opportunity to build your career alongside some of Malaysia’s most promising young professionals A pathway with one of the world’s most prestigious and innovative automotive brands The advantage of earning while you learn We are looking for passionate and high-potential individuals ready to take on some of the most dynamic and demanding roles within our nationwide dealer network, including: Passenger Car Technician High Voltage Technician Aged between 17 and 22 - Completed SPM (or equivalent) with at least 3 credits and at least a Pass in English - Completed IGCSE/O-Levels/UEC with at least 3 credits and at least a Pass in English - Vocational college with > 3.0 CGPA - Possess good interpersonal skills Please provide the following supporting documents together with your application (mandatory); 1. National Resident Identification Card (NRIC) 2. School Leaving Certificate (SLC) 3. SPM results / O-Level results / IGCSE results / UEC results or any equivalent exam Notes: - Each document to be rename as your NRIC (DOCUMENT TYPE) e.g.: - 123456-77-8888 (NRIC) - 123456-77-8888 (SLC) - 123456-77-8888 (SPM) Mercedes-Benz Malaysia Sdn. Bhd.", "summaryDescription" : "Advanced Modern Apprenticeship (AMA) Program at Mercedes-Benz. Train as Passenger Car Technician", "createdAt" : "2026-06-14T02:16:43.583", "lastUpdated" : "2026-06-15T11:51:10.689", "ingestTimestamp" : "2026-06-14T02:16:43.583", "mongoId" : "6a191e7758b93c861e39f81a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Interpersonal skills", "Passenger Car Technology" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f9cf292fd229c05b4a9", "title" : "Software Engineer (Mid-Senior)", "company" : "Defense Unicorns", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Software Engineer in the US Technology industry, adjusted for remote work and company size." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-16T08:20:30.487", "fingerprint" : "39e7aafabadb827750a3a25709876cadc9dd57a6c529e584cf606e79ea1bedc4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/defenseunicorns/jobs/5165283007", "externalId" : "5165283007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Role Description: Defense Unicorns is seeking Software Engineers (Mid and Senior) to join our UDS Product Engineering team. You’ll collaborate closely with product managers, designers, and end users to ensure we’re building the right solutions, and building them well. As a Software Engineer, you’ll operate at the intersection of product development and technical execution. You’ll contribute to and, at times, lead the design, implementation, and deployment of features and systems that have direct impact on mission outcomes. Our engineers work across a portfolio that includes UDS Registry — reliably manage and deploy UDS packages to any mission environment Zarf — an open source tool enabling continuous software delivery on disconnected systems UDS Foundry — Core tooling and systems that build secure, repeatable, and scalable package delivery tooling for the entire UDS Ecosystem Fleet — manage distributed systems across Denied, Disrupted, Intermittent, and Limited (DDIL) and fully airgapped environments UDS Image Factory — developer tooling for composing complete, mission-ready system images (OS, Kubernetes, applications, configuration) into a single deployable artifact UDS Foundation — core platform and tooling that power UDS, serving Platform Engineers building and operating UDS across environments The UDS Product Engineering team values action, ownership, and focus, taking initiative to see work through from idea to impact. How You’ll Contribute: Mid-level Software Engineer: Deliver high-quality, production-ready code with strong testing and reliability practices Own well-scoped features and systems end-to-end Contribute to design discussions and implementation decisions Navigate ambiguity with increasing independence Build deep understanding of the systems and domains you work in Senior Software Engineer: Lead design and implementation of complex systems across teams Own and be accountable for systems or major components end-to-end Drive technical direction and influence product decisions Operate effectively in ambiguity and define clear paths forward Mentor other engineers and elevate engineering standards Responsibilities: Build, ship, and maintain features and systems that support mission-critical environments Contribute to system design, architecture, and implementation decisions Collaborate with engineering, product, and design to translate requirements into scalable technical solutions Identify and reduce ambiguity in product and technical requirements Debug, optimize, and support production systems (including on-call rotation) Integrate with existing defense systems while ensuring interoperability and security compliance Contribute to and support the open source ecosystems we depend on Develop and maintain technical documentation (designs, runbooks, user guides) Participates in a shared 24x7 on-call rotation, owning incident response, troubleshooting, and coordination to ensure reliable production systems Additionally, Senior Software Engineers will: Own architectural decisions and ensure technical quality across systems Lead cross-team initiatives and complex technical efforts Influence product direction through deep user and system understanding Provide mentorship and raise the bar for engineering practices Travel Expectations/Requirements: 0-5% The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Preferred Experience and Qualifications: 3+ years (Mid) or 5+ years (Senior) experience in software engineering Proficiency in Go or other modern programming languages Strong understanding of system design, APIs, databases, and cloud environments (AWS, Azure, etc.) Experience building tools focused on software lifecycle and delivery Familiarity with Kubernetes concepts (Controllers, Operators, CRDs) Experience with supply chain security (SBOMs, signing, scanning, etc.) Experience contributing to open source projects (CNCF, ASF, OpenSSF, etc.) is a strong plus Ability to solve complex problems and deliver pragmatic, scalable solutions Strong communication and collaboration skills across technical and non-technical audiences Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA $123,250—$201,250 USD Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U. S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On Kubernetes Cloud Environments (AWS/GCP and Azure) Infrastructure-as-code (like Terraform/Pulumi) Continuous Delivery and automation tooling GitOps Containers CNCF projects and open source products and packages Helm/Kustomize-Value Stream Mapping Building and improving security delivery Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/Vision Premiums are 100% Company Paid Health Savings Account Life Insurance Disability Insurance Financial: 401k Retirement Plan Company Stock Options Home Office Budget Leave: We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s Paid Parental Leave Learning: Reimbursement for approved trainings/subscriptions Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE", "summaryDescription" : "Software Engineer (Mid-Senior) at Defense Unicorns", "postedDate" : "2026-06-16T01:20:42.253", "createdAt" : "2026-06-16T01:20:42.253", "lastUpdated" : "2026-06-16T08:20:30.487", "ingestTimestamp" : "2026-06-16T01:20:42.253", "mongoId" : "6a307f9cf292fd229c05b4a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799174d8ee00a0941e6b", "title" : "Senior Director, Software Engineering", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Mexico City, adjusted for Director seniority in the E-commerce industry for a full-time role." }, "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-16T00:24:34.293", "fingerprint" : "c9b10d52c74641d5ca7fb736dbd5f64114fd9ae859638ff67dada5a1a27276c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4271424009", "externalId" : "4271424009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Software Engineering, DevOps, Cloud, AI/ML, Data Engineering, Security", "professionalSkills" : [ "System design", "Roadmap alignment", "Team structure definition", "Talent acquisition", "System implementation", "Best practices establishment", "Delivery cadence definition", "Incident response", "Career development", "Authorization rate driving", "Chargeback reduction", "Ecosystem health protection", "Warehouse innovation enablement", "Ingestion system development", "Robotics capability development", "Relationship building", "Talent attraction" ], "hardSkillsList" : [ "Payments processing", "Warehouse management", "Logistics technology", "Identity management", "Fraud detection", "Risk platforms" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Payments processing", "level" : "intermediate" }, { "name" : "Warehouse management", "level" : "intermediate" }, { "name" : "Logistics technology", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Risk platforms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "E-commerce operations, Technology leadership, Team building", "majorSkillsList" : [ "E-commerce operations", "Technology leadership", "Team building" ], "coreResponsibilities" : "Build organization and culture, Define operating model, Own technology decisions, Own infrastructure decisions, Partner with US engineering leaders, Partner with US product leaders, Partner with US talent acquisition leaders, Partner with US operations leaders, Align roadmaps, Define team structures, Hire top talent, Stand-up mission-critical systems, Own scalable infrastructure, Manage Payments systems, Manage Warehouse Technology systems, Manage Transportation systems, Manage Customer Experience Technology systems, Manage Identity systems, Manage Trust & Safety systems, Establish engineering best practices, Establish delivery cadences, Establish incident response protocols, Establish career development frameworks, Drive authorization rates, Reduce chargebacks, Protect ecosystem health, Enable warehouse innovation, Enable fulfillment innovation, Rollout WMS, Develop raw card ingestion systems, Develop large-scale scanning capabilities, Develop robotics capabilities, Represent Fanatics in Mexico City, Build local tech community relationships, Engage in broader engineering ecosystem, Attract top talent to hub", "teamCollaboration" : "US-based engineering leaders; US-based product leaders; US-based talent acquisition leaders; US-based operations leaders; Local tech community", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "E-commerce; Payments processing; Warehouse management systems; Logistics technology; Identity management; Trust and safety systems; Fraud detection; Risk platforms; Sports collectibles; Digital sports platform; Sportsbook; iGaming platform", "domainList" : [ "e-commerce", "payments-processing", "warehouse-management-systems", "logistics-technology", "identity-management", "trust-and-safety-systems", "fraud-detection", "risk-platforms", "sports-collectibles", "digital-sports-platform", "sportsbook", "igaming-platform" ], "domainSpecificKnowledge" : [ "E-commerce", "Payments processing", "Warehouse management systems", "Logistics technology", "Identity management", "Trust and safety systems", "Fraud detection", "Risk platforms", "Sports collectibles", "Digital sports platform", "Sportsbook", "iGaming platform" ], "communicationSkills" : "Technical roadmaps", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive authorization rates; Reduce chargebacks; Protect ecosystem health", "qualificationsBasic" : "10+ years engineering experience, 7+ years people management experience, 5+ years e-commerce operations technology, Expertise in payments processing, Expertise in warehouse management systems, Expertise in logistics technology, Expertise in identity systems, Expertise in trust & safety systems, Experience attracting senior engineers, Experience retaining senior engineers, Experience developing senior engineers", "qualificationsPreferred" : "Experience in multinational tech companies, Experience in US-headquartered tech companies, Experience in US-scale technology companies, Experience creating communication strategies, Cross-functional collaboration skills, Creating structure out of ambiguity, Bringing technical visions to life, Business fluency in English", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Senior Director, Software Engineering At Fanatics Collectibles, you’re not inheriting someone else’s playbook, you’re writing it; a greenfield mandate with full executive support and a clear remit to build. Our operational systems power real commerce via real payments, real fulfillment, real users, and real stakes. As a Senior Director, Software Engineering, you will be the founding leader for Fanatics Collectibles in Mexico City to build a multi-disciplinary tech hub of 50+ engineers with a startup energy, enterprise-grade complexity, and with the resources to move fast. The Team Fanatics Collectibles is building the infrastructure of a new category, the unified collector operating system. Powering that infrastructure requires world-class Services and Operational Systems including the payment rails that move money, the warehouse platforms that move card production, and the trust and safety systems that protect every transaction. To achieve this at scale, we are establishing an engineering hub in Mexico City that will have full ownership of systems that run a global, real-time commerce platform. About You If you’re a builder, passionate about creating a culture of innovation and leading multi-disciplinary engineering teams, this role is for you. A founding leader who has experience operating within multinational or US-based tech companies. You understand e-commerce at scale: the payments layer, the fulfillment layer, the trust layer. You’re energized by the prospect of building, leading, and scaling an agile tech hub from scratch. Role Summary The Senior Director, Software Engineering you will balance a dual mandated role as the hub leader and engineering leader. You will be responsible for leading Services and Operational Systems engineering teams that deliver world-class outcomes across Payments, Warehouse Technology, and Trust and Safety. As the Senior Director, Software Engineering, you will… Build the organization and culture, define the operating model, and own technology and infrastructure decisions to position Mexico City as a center of excellence within Fanatics’ global engineering organization Partner directly with US-based engineering, product, talent acquisition, and operations leaders to align roadmaps, define team structures, hire top talent, and stand-up systems that are mission-critical to the business Own scalable infrastructure across the full commerce lifecycle for Services and Operational Systems engineering including Payments, Warehouse Technology, Transportation, Customer Experience Technology, Identity, and Trust & Safety systems Establish engineering best practices, delivery cadences, incident response protocols, and career development frameworks Partner with Finance and Trust & Safety to drive authorization rates, reduce chargebacks, and protect the health of the ecosystem Enable warehouse and fulfillment innovation via WMS rollout, raw card ingestion systems, and large-scale scanning and robotics capabilities Represent Fanatics in Mexico City by building relationships in the local tech community, engage in the broader engineering ecosystem, and attracting top talent to the hub Basic Qualifications 10+ years of engineering experience 7+ years of people management experience, specifically building and leading high-performing, multi-disciplinary engineering teams 5+ years of experience in e-commerce operations technology (payments processing, warehouse management systems, logistics technology, identity, and trust & safety systems Expertise in at least one operational systems domain across payments (auth rates, fraud, BNPLs, payout systems), warehouse and logistics technology (WMS, fulfillment operations), or trust & safety (fraud detection, identity verification, risk platforms) Experience attracting, retaining, and developing senior engineers in a competitive LATAM market Preferred Qualifications Experience working in multinational, US-headquartered, or US-scale technology companies Experience creating communication strategies and strong cross-functional collaboration skills to partner with stakeholders and to translate business requirements into technical roadmaps Proven track record of creating structure out of ambiguity and bringing technical visions to life Business fluency in English Based in Mexico City or open to relocating. This is an onsite leadership role Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior Director, Software Engineering at Fanatics Collectibles. Skills: E-commerce operations, Technology leadership, Team building. Build organization and culture. Define operating model", "postedDate" : "2026-06-14T20:01:32.006", "createdAt" : "2026-06-14T20:01:32.006", "lastUpdated" : "2026-06-16T00:24:34.293", "ingestTimestamp" : "2026-06-14T20:01:32.006", "mongoId" : "6a2c799174d8ee00a0941e6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Payments processing", "Warehouse management", "Logistics technology", "Identity management", "Fraud detection", "Risk platforms", "Leadership", "E-commerce operations", "Technology leadership", "Team building", "System design", "Roadmap alignment", "Team structure definition", "Talent acquisition", "System implementation", "Best practices establishment", "Delivery cadence definition", "Incident response", "Career development", "Authorization rate driving", "Chargeback reduction", "Ecosystem health protection", "Warehouse innovation enablement", "Ingestion system development", "Robotics capability development", "Relationship building", "Talent attraction", "Agile", "E-commerce", "Warehouse management systems", "Trust and safety systems", "Sports collectibles", "Digital sports platform", "Sportsbook", "iGaming platform" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5bb74d8ee00a09b7e7a", "title" : "Senior Software Engineering Manager", "company" : "Ezra", "industry" : "FinTech", "salary" : { "min" : 7000000.0, "max" : 1.1E7, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineering Manager in Nairobi, Kenya, adjusted for FinTech industry and manager seniority." }, "location" : "Nairobi, Nairobi, Kenya", "locations" : [ "Nairobi", "Nairobi", "Kenya" ], "timestamp" : "2026-06-15T06:53:10.400", "fingerprint" : "72ead6df0916196584fcae16333e7f3962e1d9b6bf37b6ed0aa2246a82501870", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ezra.world/company/careers/7650892003?gh_jid=7650892003", "externalId" : "7650892003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nairobi", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-1.3023980,36.8288509" } ], "locationText" : "Nairobi, Kenya", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Java, Spring Boot, Clojure, Kafka, RabbitMQ, AI", "professionalSkills" : [ "Technical strategy", "Architectural oversight", "Roadmapping", "Solution architecture", "System design", "Performance optimization", "Delivery management" ], "hardSkillsList" : [ "Event-driven systems", "Data pipelines", "Secure software development", "Code quality", "Profiling", "Load testing", "Caching strategies" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Secure software development", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Load testing", "level" : "intermediate" }, { "name" : "Caching strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Team leadership, Technical strategy, Architectural design, Engineering excellence", "majorSkillsList" : [ "Team leadership", "Technical strategy", "Architectural design", "Engineering excellence" ], "coreResponsibilities" : "Lead software engineers, Mentor software engineers, Develop software engineers, Foster technical excellence, Foster accountability, Foster continuous improvement, Define technical roadmap, Drive technical roadmap, Provide architectural oversight, Ensure scalability, Ensure security, Ensure maintainability, Champion engineering best practices, Champion TDD, Champion secure software development, Champion clean code, Champion CI/CD processes, Ensure predictable delivery, Ensure high-quality delivery, Collaborate with product managers, Collaborate with QA engineers, Collaborate with platform engineers, Translate product vision, Translate technology vision, Scale engineering organization, Scale core platform, Improve engineering team productivity, Improve engineering team skills, Ensure resilient infrastructure, Ensure high-performing infrastructure, Improve delivery velocity, Deliver business capabilities, Ensure platform stability, Adopt new technologies, Understand business needs, Understand customer needs, Understand partner needs, Translate needs to decisions, Promote ownership culture, Promote accountability culture, Promote high standards, Enable team to move quickly, Enable team to deliver results, Support engineer growth, Support engineer development, Conduct one-on-ones, Conduct performance reviews, Conduct career discussions, Drive hiring, Drive onboarding, Drive training, Shape technical strategy, Execute technical strategy, Guide architectural evolution, Guide event-driven systems, Guide data pipelines, Define technology standards, Define development methodologies, Define security best practices, Contribute to engineering culture, Shape software building, Shape effective teamwork, Instill TDD, Ensure features have tests, Oversee software design, Oversee development, Oversee code review, Set high bar for code quality, Set high bar for maintainability, Set high bar for security, Implement secure design, Implement secure development, Minimize attack surface, Minimize associated risk, Manage roadmap execution, Prioritize features, Scope features, Monitor system performance, Monitor system stability, Provide guidance on profiling, Provide guidance on load testing, Provide guidance on caching, Provide guidance on performance tuning, Streamline CI/CD pipelines, Optimize deployment strategies, Ensure operational excellence, Contribute to production code, Build knowledge through experience, Build context through experience, Utilize AI-enabled development, Act as role model, Demonstrate state of the possible", "teamCollaboration" : "Cross-functional collaboration; Product managers; QA engineers; Platform engineers; Senior engineers; Solution architects; Principal engineers", "projectManagementSkills" : [ "Roadmap planning", "Delivery management", "Prioritization", "Scoping" ], "domainKnowledge" : "Lending platform; Data platform; Customer value platform; Event-driven systems; FinTech; Digital lending solutions; Emerging markets; Mobile financial services; Risk management; Loan issuance; Loan recovery; Reconciliation; Billing; Loan requests processing; Data processing", "domainList" : [ "lending-platform", "data-platform", "customer-value-platform", "event-driven-systems", "fintech", "digital-lending-solutions", "emerging-markets", "mobile-financial-services", "risk-management", "loan-issuance", "loan-recovery", "reconciliation", "billing", "loan-requests-processing", "data-processing" ], "domainSpecificKnowledge" : [ "Lending platform", "Data platform", "Customer value platform", "Event-driven systems", "FinTech", "Digital lending solutions", "Emerging markets", "Mobile financial services", "Risk management", "Loan issuance", "Loan recovery", "Reconciliation", "Billing", "Loan requests processing", "Data processing" ], "toolProficiency" : [ "CI/CD processes" ], "communicationSkills" : "Technical execution approaches", "innovationCreativity" : "Adoption of new technologies; AI integration", "problemSolvingSkills" : "Technical strategy; Architectural design; Performance optimization; Troubleshooting", "outcomesObjectives" : "Scale engineering organization; Scale core platform; More productive engineering team; More skilled engineering team; Resilient core infrastructure; High-performing core infrastructure; Improved velocity; Deliver new business capabilities; Sustained stability in core platform; Strategic adoption of new technologies", "qualificationsBasic" : "Bachelor's degree in Computer Science, 8+ years software development, 3+ years management experience, Team of 5 or more engineers, Deep proficiency in Java, Proficiency in Spring Boot, Expertise in architectural design", "qualificationsPreferred" : "Experience with Clojure, Experience with Kafka, Experience with RabbitMQ, Experience with AI", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Senior Software Engineering Manager Location: Nairobi, Kenya Reports to: Chief Technology Officer About the role: The Senior Software Engineering Manager is a key leader responsible for managing a team of software engineers, shaping the technical strategy, and providing architectural oversight for our mission-critical lending, data, and customer value platform. This role balances people management with deep technical expertise, ensuring the team delivers robust, highly scalable, and secure solutions that align with the company’s strategic goals. Main Objectives & Responsibilities: Team Leadership & People Management: Lead, mentor, and develop a high-performing team of software engineers, fostering a culture of technical excellence, accountability, and continuous improvement. Technical Strategy & Architectural Oversight: Define and drive the technical roadmap for the backend platform, ensuring architectural decisions promote scalability, security, and maintainability across all event-driven services built with Java, Spring Boot, and Clojure. Engineering Excellence & Delivery: Champion the adoption and rigorous application of engineering best practices, including Test-Driven Development (TDD), secure software development practices, clean code principles, and efficient CI/CD processes, to ensure predictable and high-quality feature delivery. Cross-Functional Collaboration: Collaborate strategically with product managers, QA and platform engineers, and other business functions to translate complex product and technology vision into clear technical execution approaches and successfully delivered features. Contribution & Impact: This role is critical for scaling the engineering organization and our core platform. Your leadership will directly result in a more productive and skilled engineering team, a resilient and high-performing core infrastructure, and a significantly improved velocity for delivering new, market-driving business capabilities to our customers. Sustained stability in the core Java and Clojure platform and the strategic adoption of new technologies and approaches such as AI, will be key measures of success. Key responsibilities: Team Leadership and Mentorship Help your team deeply understand business, customer, and partner needs, translating them into thoughtful technical and product decisions. Promote a culture of ownership, accountability, and high standards, enabling your team to move quickly and deliver meaningful results. Support engineers in their growth and development by conducting regular one-on-ones, performance reviews, and career development discussions. Drive hiring, onboarding, and training of new engineering talent. Technical Strategy & Architectural Roadmapping Partner with senior engineers, solution architects and principal engineers to shape and execute on the technical strategy for your area. Guide the architectural evolution of services, event-driven systems (Kafka/RabbitMQ), and data pipelines at scale. Define technology standards, development methodologies, and security best practices for the team. Engineering Excellence and Quality Assurance Contribute to Ezra’s engineering culture, helping shape how we build great software and work together effectively. Instill Test-Driven Development (TDD), ensuring all features are accompanied by comprehensive unit, integration, and end-to-end tests. Oversee software design, development, and code review processes and set a high bar for code quality, maintainability, and security. Implement and foster secure software design and development approaches that minimize the attack surface and associated risk. Delivery Management and Performance Optimization Manage the execution of the engineering roadmap, working with product managers to prioritise and scope features. Monitor system performance and stability, providing guidance to the team on profiling, load testing, and implementing effective caching/performance tuning strategies. Collaborate with platform engineering to streamline CI/CD pipelines, optimize deployment strategies, and ensure operational excellence. Hands-on Software Development Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience. Utilise AI-enabled software development practices, acting as a role model for software engineers and demonstrating the state of the possible. Qualifications and Experience: Bachelor's degree in Computer Science, Software Engineering, or a related field. 8+ years of professional experience in software development, with 3+ years in a management or leadership role overseeing a team of 5 or more engineers. Strong technical background and deep proficiency in Java and Spring Boot. Proven expertise in architectural design and operation of event-driven microservices architectures at scale. Demonstrated ability to drive and enforce Test-Driven Development (TDD) methodologies and clean code principles. Solid experience with message brokers/queues (e.g., Kafka, RabbitMQ) and robust data store management (NoSQL/Relational databases, Redis). Working experience with CI/CD pipelines, DevOps practices, and version control (Git). Exceptional leadership, communication, and interpersonal skills, with a track record of successfully mentoring and developing engineering talent. Preferred Qualifications: Hands-on experience or architectural oversight in Clojure or other functional programming languages. Proven experience managing teams working with Docker and Kubernetes in a production environment. Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling high-volume services. Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of serverless computing environments. The ideal candidate is someone who: Is an architectural driver: Functions as a self-driven leader who owns projects end-to-end, from initial design to robust production-ready deployment. Is a strategic leader: Functions as a visionary leader, capable of defining and communicating a clear technical roadmap that aligns with Ezra’s mission to provide digital lending solutions. Builds and develops teams: Excels at hiring, mentoring, and retaining top engineering talent, setting clear expectations, and fostering a high-trust, high-performance team culture. Drives architectural excellence: Possesses the deep technical knowledge to guide and approve complex architectural designs, ensuring scalability, resilience, and security. Ensures flawless execution: Proactively manages project delivery, removes roadblocks for their team, and is accountable for the timely and high-quality delivery and deployment of features. Champions quality: Is a passionate advocate for engineering best practices, driving Test-Driven Development (TDD) and clean and secure code. Embraces evolution: Stays current with industry trends, strategically integrating new technologies like AI and cloud-native tools while ensuring stability in the core platform. Company overview: Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE. Our flagship products are Airtime Credit Services (ACS), Nano and BNPL. ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit. Nano is a micro cash advance offered to mobile wallet users on demand. BNPL facilitates payment installments for products and services As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.", "summaryDescription" : "Senior Software Engineering Manager at Ezra. Skills: Team leadership, Technical strategy, Architectural design, Engineering excellence. Lead software engineers. Mentor software engineers", "postedDate" : "2026-06-14T08:57:16.371", "createdAt" : "2026-06-14T08:57:16.371", "lastUpdated" : "2026-06-15T06:53:10.400", "ingestTimestamp" : "2026-06-14T08:57:16.371", "mongoId" : "6a2ca5bb74d8ee00a09b7e7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Event-driven systems", "Data pipelines", "Secure software development", "Code quality", "Profiling", "Load testing", "Caching strategies", "Leadership", "Mentorship", "Team leadership", "Technical strategy", "Architectural design", "Engineering excellence", "Architectural oversight", "Roadmapping", "Solution architecture", "System design", "Performance optimization", "Delivery management", "Roadmap planning", "Prioritization", "Scoping", "Lending platform", "Data platform", "Customer value platform", "FinTech", "Digital lending solutions", "Emerging markets", "Mobile financial services", "Risk management", "Loan issuance", "Loan recovery", "Reconciliation", "Billing", "Loan requests processing", "Data processing", "CI/CD processes" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304f78f292fd229cee7d9a", "title" : "Apprenticeship - R&D Quality – Software Orientation", "company" : "Netatmo", "industry" : "Consumer Electronics", "salary" : { "min" : 23000.0, "max" : 28000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level R&D Quality apprentice in the technology industry in Boulogne-Billancourt, France, with adjustments for seniority and contract employment type." }, "location" : "Boulogne-Billancourt, IDF, France", "locations" : [ "Boulogne-Billancourt", "IDF", "France" ], "timestamp" : "2026-06-16T06:37:58.748", "fingerprint" : "8d9b7b9dfd8740dc119dcf7fb766a8e19e50a0eb4dde8d3f6390e537b4400527", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Netatmo/744000132187409-apprenticeship-r-d-quality-software-orientation", "externalId" : "744000132187409", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulogne-Billancourt", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8356649,2.2402060" } ], "locationText" : "Boulogne-Billancourt, Île-de-France, France", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "softSkillsList" : [ "Rigorous", "Curious", "Motivated to learn", "Seek solutions methodically" ], "softSkills" : [ { "name" : "Rigorous" }, { "name" : "Curious" }, { "name" : "Motivated to learn" }, { "name" : "Seek solutions methodically" } ], "majorSkills" : "Software quality, IoT product development, Quality processes", "majorSkillsList" : [ "Software quality", "IoT product development", "Quality processes" ], "coreResponsibilities" : "Contribute to reliability of software, Contribute to performance of software, Contribute to compliance of software, Monitor quality of firmware, Monitor quality of cloud, Monitor quality of application developments, Apply internal quality processes, Participate in risk analysis, Ensure traceability, Follow up on associated actions, Identify improvement opportunities, Contribute to updating internal processes, Apply Quality best practices, Support deployment of Quality Radar Group", "teamCollaboration" : "Firmware teams; Cloud teams; Mobile Applications teams; Electronics teams; Security teams; Industrialization teams; Product teams; R&D teams", "domainKnowledge" : "IoT product development lifecycle; Software development lifecycle; Quality processes", "domainList" : [ "iot-product-development-lifecycle", "software-development-lifecycle", "quality-processes" ], "domainSpecificKnowledge" : [ "IoT product development lifecycle", "Software development lifecycle", "Quality processes" ], "communicationSkills" : "Good communication skills", "continuousLearning" : "Access to an e-learning platform", "problemSolvingSkills" : "Ability to analyze problems; Seek solutions methodically", "specialRequirements" : "Adhering to information security rules, Contribute to data protection, Prompt reporting of incidents", "qualificationsBasic" : "Student in Master Engineering, Interest in IoT, Interest in software development, Interest in product testing, Basic understanding of software lifecycle, Basic understanding of versioning, Basic understanding of testing concepts", "qualificationsPreferred" : "Familiarity with Jira, Familiarity with Confluence, Familiarity with issue-tracking systems, Familiarity with documentation systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "What we do? \uD83D\uDE80 We develop groundbreaking, intuitive and beautifully designed connected consumer electronics. Truly smart, our innovative products provide a seamless experience that helps users create a safer, healthier and more comfortable & eco-friendly home. We carefully design the mechanics, electronics and embedded software for all our products to the highest standards. Our mobile and web applications are designed to be simple to operate yet deliver rich user experience. We also collaborate with strategic partners to revolutionize your home: Velux (window), Muller (electrical radiator), Engie, Vaillant (Boilers) Since November 2018, Netatmo has become a part of the Legrand group a global leader in electrical and digital infrastructure for buildings, with millions of users all over the world. We continue to develop our brand and products autonomously. Who are we? \uD83E\uDDD1‍\uD83E\uDD1D‍\uD83E\uDDD1 Netatmo is first and foremost the story of talented people coming together and working on a common project. Our purpose is not only to create beautifully designed products but also to build a beautiful company. We look to create a real community that shares more than just work projects, because everyone's fulfillment is essential to us and creativity isn't always born behind a desk. Join the R &D Quality team, working closely with the Firmware, Cloud, Mobile Applications, Electronics, Security, Industrialization, and Product teams. As an R &D Quality Apprentice – Software Orientation, you will contribute to the reliability, performance, and compliance of the software embedded in our connected products. This position will give you a comprehensive understanding of the IoT product development lifecycle, its overall life cycle, and the quality processes applied to software development. Contribute to ensuring the quality, reliability, and compliance of software solutions (firmware, cloud, applications) and support the improvement of internal quality processes. * Monitor the quality of firmware, cloud, and application developments by applying internal quality processes, participating in risk analysis, ensuring traceability, and following up on associated actions. * Identify improvement opportunities and contribute to updating internal processes (checklists, qualification matrices, templates). * Apply Quality best practices and support the deployment of the Quality Radar Group within R&D teams. ## Qualifications * Student in Master Engineering (Software, Embedded, Systems, Electronics, or generalist with an interest in software quality). * Interest in IoT, software development, and product testing. * Basic understanding of software lifecycle, versioning, and testing concepts. * Familiarity with tools such as Jira, Confluence, or similar issue‑tracking/documentation systems is a plus. Soft Skills * Rigorous, curious, and motivated to learn. * Good communication skills and a collaborative mindset. * Ability to analyze problems and seek solutions methodically. ## Additional Information Rythm : 4 days/1 day or 3 weeks/ 1 week \uD83D\uDCB0 * Holiday Bonus * Employee discount on Netatmo products * CET : Time savings account * PERECO contribution * Reimbursement for the purchase of remote work equipment * 50% reimbursement of transportation costs * Soft mobility allowance ⏱️ * Eco-responsible building with concierge service * On-site gym (with showers) * Meal vouchers * Access to the inter-company restaurant & foodcourt * Teleworking * 100% dematerialised mutual insurance: Alan \uD83D\uDC69‍⚕️ * Access to an e-learning platform. * Internal mobility possible (Netatmo and Legrand Group) ⚽ * Several board games, a ping-pong table \uD83C\uDFD3, and a foosball table are available during breaks. * Parking for your car \uD83D\uDE97, motorcycle, and bicycle \uD83D\uDEB4‍♂️ is available, subject to availability. As part of our compliance with the ISO/IEC 27001:2022 standard and in accordance with the requirements of the Cyber Resilience Act (CRA), the incumbent is committed to adhering to the internal information security rules set forth in the security policy, the IT charter, and related procedures. They actively contribute to data protection and the prompt reporting of any incident or suspected incident.", "summaryDescription" : "Apprenticeship - R&D Quality – Software Orientation at Netatmo. Skills: Software quality, IoT product development, Quality processes. Contribute to reliability of software. Contribute to performance of software", "postedDate" : "2026-06-15T12:15:33.000", "createdAt" : "2026-06-15T21:45:40.455", "lastUpdated" : "2026-06-16T06:37:58.748", "ingestTimestamp" : "2026-06-15T21:45:40.455", "mongoId" : "6a304f78f292fd229cee7d9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Rigorous", "Curious", "Motivated to learn", "Seek solutions methodically", "Software quality", "IoT product development", "Quality processes", "IoT product development lifecycle", "Software development lifecycle" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308f6cf292fd229c0aab37", "title" : "Senior Software Engineer - Data Engineering", "company" : "Todyl", "industry" : "Engineering", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Denver CO", "locations" : [ "Denver CO" ], "timestamp" : "2026-06-16T11:25:13.278", "fingerprint" : "f47cfe4e756fa8bfb525ea398f2f04580b5e174da67ad0c5345c6f50e848f538", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/todyl/ee73c735-6fe5-4877-95bf-62ef4df1943a/application", "externalId" : "ee73c735-6fe5-4877-95bf-62ef4df1943a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Todyl puts world-class networking and security within reach of every business. The Todyl Security Platform converges SASE, SIEM, Endpoint Security, GRC, MXDR, and more into a cloud-native, single-agent platform specifically built for MSPs, MSSPs, and Mid-Market IT Professionals. We are a fast-paced, dynamic start-up, passionate about simplifying complex networking and security for businesses of all sizes. About the Role We are looking for a talented, collaborative individual who is deeply knowledgeable in software engineering and enjoys working across many layers of the stack. This will be an opportunity to work on end-to-end development, from design to implementation of our products & services. This position will be involved with developing data ingestion and database systems. The ideal candidate is excited by developing products & solutions supporting large scale data engineering work. Responsibilities - Write efficient, scalable, and high-performance code to meet the demands of our software applications, optimizing algorithms and data structures for speed and reliability. - Design and implement elastic code architectures that enable our software systems to scale horizontally and vertically in response to changing demands. - Architect and implement scalable and reliable data storage solutions to meet the organization's needs. - Work closely with the AI/ML team providing format appropriate data delivery in support of business intelligence initiatives. - Evaluate and select appropriate storage technologies, databases, and data warehouses to meet the organization's needs for data retention, archival, and analysis. - Design and implement data ingestion pipelines to pull data from various sources into ElasticSearch for real-time analytics, search, and visualization. - Optimize data ingestion workflows for scalability, reliability, and fault tolerance, considering high volume and velocity of incoming data streams. - Collaborate with cross-functional teams to integrate data pipelines with the organization's portal and user interfaces, enabling seamless data access and visualization for end users. Requirements - 5+ years of end-to-end commercial software and application development - 2+ years of commercial software development for a multi-tenant cloud platform - Software development experience using Go, JavaScript, HTML - Software development experience under Linux or Unix-based systems - Strong problem-solving skills and ability to adapt existing systems to fast-changing requirements - Ability to thrive in a fast-paced startup environment challenging norm - Optimize data ingestion workflows for scalability, reliability, and fault tolerance, considering high volume and velocity of incoming data streams. - Collaborate with cross-functional teams to integrate data pipelines with the organization's portal and user interfaces, enabling seamless data access and visualization for end users. Todyl provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, transgender status, gender identity or expression, national origin, age, disability, marital status, genetic information, military status or any other status protected by applicable federal, state or local laws. ", "summaryDescription" : "Senior Software Engineer - Data Engineering at Todyl", "createdAt" : "2026-06-16T02:00:24.256", "lastUpdated" : "2026-06-16T11:25:13.278", "ingestTimestamp" : "2026-06-16T02:00:24.256", "mongoId" : "6a308f6cf292fd229c0aab37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a0a", "title" : "Youth Apprenticeship", "company" : "Mercedes-Benz Vans", "industry" : "Manufacturing", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in manufacturing in Ladson, United States, adjusted for company size and industry." }, "location" : "United States of America-South Carolina-Ladson", "locations" : [ "United States of America-South Carolina-Ladson", "8501 Palmetto Commerce Pkwy, , Ladson" ], "timestamp" : "2026-06-15T08:37:13.600", "fingerprint" : "ad6486c4005a599ea99f7550e8e6b37383f7cb0c9f51fcabd850c32cc2a4630a", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=886335", "externalId" : "886335", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ladson", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.9857275,-80.1098123" } ], "locationText" : "Ladson, South Carolina, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "MS Office, Excel, PowerPoint, Word", "professionalSkills" : [ "Analytical thinking", "Systematic work" ], "coreResponsibilities" : "Improve transparency of action items, Develop useful KPIs, Track useful KPIs, Feasibility analysis of projects, Coordinate project steps, Prepare meeting agendas, Prepare meeting minutes, Assist at department", "teamCollaboration" : "Collaborative work environments", "problemSolvingSkills" : "Analytical thinking; Work independently", "qualificationsBasic" : "HSD/GED required, Working towards relevant Associate's degree or certificate program, Graduated within last 12 months, Available to complete 3 semester program", "qualificationsPreferred" : "German language is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Shape the future today. The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title. At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts. Job Overview: The Apprentice provides the best possible support by assisting with all aspects of repair/service planning. This position will allow the team member to gain insight to the production processes in our shops (Assembly/Body/Paint). The apprenticeship will expose the team member to all levels in the organization in order to assist in building a resume that will allow the individual to become competitive in the job market. Responsibilities: Improve transparency of project-related action items Develop and track useful KPIs Feasibility analysis of optimization projects Coordinate project steps with plant operations Prepare meeting agendas and minutes Assist where needed at the department All other duties as assigned Qualifications: · Minimum HSD/GED required. · Must be currently working towards a relevant Associate’s degree, or relevant certificate program, or have already graduated within the last 12 months. Available to complete the 3 semester program duration Knowledge and Skills: · Analytical thinking, ability to work systematically and independently · Good knowledge in MS Office (Excel, PowerPoint and Word) · German language is a plus but not a requirement · Applicants should be eager, driven, focused, hard-working individuals that are ready to assist a growing company · Should be willing to learn and be taught skills from experienced members of the team · The individual should be self-motivated and interested in adding value and making a difference within an organization MBV does not offer assisted living or a relocation package for this assignment Mercedes-Benz Vans, LLC is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, sex (including pregnancy, gender identity, and sexual orientation),age, national origin, religion, marital status, veteran status, physical or other disability, genetic information, or any other characteristic protected by federal, state or local law. Mercedes Benz Vans LLC", "summaryDescription" : "Youth Apprenticeship at Mercedes-Benz Vans. Improve transparency of action items. Develop useful KPIs", "createdAt" : "2026-06-14T06:44:38.847", "lastUpdated" : "2026-06-15T08:37:13.600", "ingestTimestamp" : "2026-06-14T06:44:38.847", "mongoId" : "69ce5e3b9bc74574cb677a0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Analytical thinking", "Systematic work" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2176e474d8ee00a0c1b3ba", "title" : "Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME)", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 193300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-14T22:27:50.961", "fingerprint" : "df0fd4534cb2992de35cbb7502070e628767db0744739926c2e4d2d6784de5f3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437513/apply", "externalId" : "b0f1962a-a364-4968-b971-822f89d9a65e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, C, C++, Python, Batch, VB, PowerShell, Java, Chef, Perl, Ruby, PHP, AI/ML, GenAI, Analytics, Database, Storage, MXNet, TensorFlow, Caffe, PyTorch", "professionalSkills" : [ "Image analysis", "Algorithm development", "Automation development", "Camera testing", "Parametric measurements", "Calibrations", "Cosmetic inspections" ], "hardSkillsList" : [ "Optical algorithms", "AI/ML models", "Image analysis algorithms", "Manufacturing automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Optical algorithms", "level" : "intermediate" }, { "name" : "AI/ML models", "level" : "intermediate" }, { "name" : "Image analysis algorithms", "level" : "intermediate" }, { "name" : "Manufacturing automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Optical AI, Algorithm development, AI/ML, Automation development", "majorSkillsList" : [ "Optical AI", "Algorithm development", "AI/ML", "Automation development" ], "coreResponsibilities" : "Innovate, design, and develop Optical algorithms, Develop AI/ML solutions, Code in programming languages, Develop image analysis algorithms, Develop AI/ML models, Drive manufacturing solutions, Leverage algorithms, AI/ML, and automation, Create solutions for camera test, Create solutions for validation, Create solutions for cosmetic inspections, Create solutions for component defect detection, Create solutions for robot/automation, Drive development working, team members, Interface with 3rd party integrators, Own design of manufacturing automation solutions, Own implementation of manufacturing automation solutions, Own deployment of manufacturing automation solutions, Implement solutions for camera testing, Implement solutions for cosmetic inspections, Implement solutions for assembly defect detection, Leverage AI/ML to improve detection accuracy", "teamCollaboration" : "Working alongside team members; 3rd party integrators", "domainKnowledge" : "Optical Imaging; Advanced Manufacturing; Automated manufacturing systems; Camera testing; Cosmetic inspections; Defect detection; Robotics; Machine Learning; Deep Learning; Optical theory; Electrical theory; Controls components; Automated equipment", "domainList" : [ "optical-imaging", "advanced-manufacturing", "automated-manufacturing-systems", "camera-testing", "cosmetic-inspections", "defect-detection", "robotics", "machine-learning", "deep-learning", "optical-theory", "electrical-theory", "controls-components", "automated-equipment" ], "domainSpecificKnowledge" : [ "Optical Imaging", "Advanced Manufacturing", "Automated manufacturing systems", "Camera testing", "Cosmetic inspections", "Defect detection", "Robotics", "Machine Learning", "Deep Learning", "Optical theory", "Electrical theory", "Controls components", "Automated equipment" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "innovationCreativity" : "Innovate", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Work safely, Adhere to standards, Follow laws, Follow policies, Exercise sound judgment, Manage stress, Work safely, Work respectfully, Exhibit trustworthiness, Exhibit professionalism, Safeguard business operations, Safeguard Company reputation", "qualificationsBasic" : "Full software development life cycle experience, Programming with at least one language, Complex software systems delivery, Programming/scripting experience, Analytical skills, Attention to detail, Effective communication abilities, Bachelor's degree in computer science, 8+ years professional software development, Experience with Data & AI technologies, 5+ years Optical measurement & camera testing", "qualificationsPreferred" : "5+ years full software development life cycle, Advanced automation controls systems experience, Master's degree in computer science, Machine and Deep Learning toolkits experience, 5+ years Optical theory experience, 5+ years electrical theory experience, 5+ years robotics experience, 5+ years controls components experience, 5+ years automated equipment experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Devices Advanced Manufacturing Engineering (AME) team is seeking a Senior Software Development Engineer who will lead Optical AI & Algorithm development and integration into automated manufacturing systems. This role includes Image analysis algorithm development, AI/ML, and automation development work for deployment in automated manufacturing test systems. This role focuses on software development for camera testing including camera parametric measurements, calibrations, cosmetic inspections, and automation. Key job responsibilities In this role, you will: - Innovate, design, and develop Optical algorithms and AI/ML solutions that scale. - This involves coding in one of the key programming languages (C#, C, C++, Python) and developing image analysis algorithms, and AI/ML models for optical system parametric measurements, defect detection, and cosmetic inspections. A day in the life As a Senior Software Development Engineer, you will be responsible for driving world-class manufacturing solutions leveraging algorithms, AI/ML, and automation (robots) to create solutions for camera test and validation, cosmetic inspections, component defect detection, and robot/automation. You will be driving development working alongside team members and 3rd party integrators as the main interface owning the design, implementation, and deployment of manufacturing automation solutions. About the team The team is responsible for implementing solutions for camera testing, cosmetic inspections, assembly defect detection, and leveraging AI/ML to improve detection accuracy. Internal job description Basic Qualifications: - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience programming with at least one software programming language - Experience building complex software systems that have been successfully delivered to customers - Experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP), or experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Bachelor's degree in computer science or equivalent - 8+ years of non-internship professional software development experience - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - 5+ years of Optical measurement & camera parametric testing. Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience with advanced automation controls systems - Master's degree in computer science, machine learning, engineering, or related fields, or experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch - - 5+ years of Optical theory, electrical theory, robotics, controls components, and automated equipment experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually", "summaryDescription" : "Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME) at Amazon.com Services LLC. Skills: Optical AI, Algorithm development, AI/ML, Automation development. Innovate, design, and develop Optical algorithms. Develop AI/ML solutions", "postedDate" : "2026-06-13T02:41:09.075", "createdAt" : "2026-06-13T02:41:09.075", "lastUpdated" : "2026-06-14T22:27:50.961", "ingestTimestamp" : "2026-06-13T02:41:09.075", "mongoId" : "6a2176e474d8ee00a0c1b3ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437513/apply", "salaryAnnualMin" : 193300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Optical algorithms", "AI/ML models", "Image analysis algorithms", "Manufacturing automation", "Leadership", "Optical AI", "Algorithm development", "AI/ML", "Automation development", "Image analysis", "Camera testing", "Parametric measurements", "Calibrations", "Cosmetic inspections", "Optical Imaging", "Advanced Manufacturing", "Automated manufacturing systems", "Defect detection", "Robotics", "Machine Learning", "Deep Learning", "Optical theory", "Electrical theory", "Controls components", "Automated equipment" ], "skillCount" : 25, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advanced Manufacturing" }, { "id" : "6a2c7d7c74d8ee00a094fe55", "title" : "Software Engineering", "company" : "Hidden Events", "salary" : { "min" : 300000.0, "max" : 450000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Software Engineering roles in Hong Kong's technology industry, adjusted for company size and full-time employment." }, "location" : "Hong Kong, Hong Kong", "locations" : [ "Hong Kong", "Hong Kong" ], "timestamp" : "2026-06-16T02:30:37.019", "fingerprint" : "480d704d028529b6451fca25f73248810a0e3904c3e2d7bdd420c35349a9a159", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jshiddenevents/jobs/8578574002", "externalId" : "8578574002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "state" : "Hong Kong", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong, China", "rawDescription" : "About the Position Copy & Paste \"about the position\" or job responsibilities over this text (plain, not underlined/bolded/italicized). Use bullet points prompt above as needed for formatting rather than pasting bullets in from other document. There should be no additional blank lines above or below this paragraph, though you are welcome to have more than one paragraph. About You Copy & Paste \"about you\" or qualifications here (plain, not underlined/bolded/italicized). Use bullet points prompt above as needed for formatting rather than pasting bullets in from other document. There should be no additional blank lines above or below this paragraph, though you are welcome to have more than one paragraph.", "summaryDescription" : "Software Engineering at Hidden Events", "postedDate" : "2026-06-14T19:20:01.261", "createdAt" : "2026-06-14T19:20:01.261", "lastUpdated" : "2026-06-16T02:30:37.019", "ingestTimestamp" : "2026-06-14T19:20:01.261", "mongoId" : "6a2c7d7c74d8ee00a094fe55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "69f46f044c40e2acd1b368bb", "title" : "Advanced Security System Engineering Manager", "company" : "Amazon Data Services, Inc.", "industry" : "Investigation Loss Prevention, Data Center Security, Cloud Computing", "salary" : { "min" : 28.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T02:12:49.469", "fingerprint" : "bcb91380d3e5f08e214ff01cb0acbadbf6c8842c8beabbd0cd925e440724235b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408636/apply", "externalId" : "9e4b6a65-4205-4763-b18c-2981bf0709d9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon Web Services (AWS) serves customers and developers who rely on storage, compute, and our other service capabilities. Our customers trust us to handle their data with air-tight security measures, which is something that we guarantee. AWS is growing rapidly, and we are looking for a Security Services Manager to join our expanding Infrastructure Operations team. As a Security Services Manager you will be tasked with driving operational security excellence within Data Centers while working with partner teams and leaders. The ideal candidate will manage communications and provide services as required. You will make suggestions on improving electronic surveillance and access controls. You will write and implement security process and procedures. Your position will require you to extract metrics and observe improvements by looking at hard data. The successful candidate must have a proven track record of customer service, possess excellent verbal and written communication skills, and demonstrate good judgment and critical thinking. An ideal candidate for this role will be able to work at all levels, from the theoretical knowledge of physical security principles to the practical application and real-world implementation of processes and measures. You must have a proven record of accomplishment in operations room/center dispatching, data center security operations, physical security, customer service; and the ability to multi-task. Key job responsibilities -You will manage a chat queue, phone communications, generate and/or manage trouble tickets, handle incoming chats, and provide support to customers. -Drive security awareness campaigns aimed at enhancing security vigilance and effectiveness -Experience with workflow ticketing and extraction/development of performance metrics -Configure physical security devices including cameras, readers, and panels. -Support daily operational security across a data center campus -Distill overarching security strategy into daily tactics to reach management goals About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience with physical security best practices which includes the application of physical security systems, investigation techniques and management of contract security guards - 1+ years' experience in an operations center, control room environment, or technical support experience. - 2+ years' experience with intrusion detection (alarm systems) and with video monitoring systems (CCTV). Preferred Qualifications: - 2+ years of overseeing security operations and working with security vendors/contractors experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Herndon - 28.00 - 50.00 USD hourly", "summaryDescription" : "Advanced Security System Engineering Manager at Amazon Data Services, Inc.", "postedDate" : "2026-06-13T17:51:39.575", "createdAt" : "2026-06-13T17:51:39.575", "lastUpdated" : "2026-06-15T02:12:49.469", "ingestTimestamp" : "2026-06-13T17:51:39.575", "mongoId" : "69f46f044c40e2acd1b368bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408636/apply", "salaryAnnualMin" : 58240, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f94f292fd229cf7e47a", "title" : "Senior Software Engineering Manager", "company" : "Rigetti", "industry" : "Internal Software Engineering", "salary" : { "min" : 220000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Berkeley, CA or Fremont, CA", "locations" : [ "Berkeley, CA or Fremont, CA" ], "timestamp" : "2026-06-16T13:04:23.745", "fingerprint" : "415598b8af2684810ba91e3f19ef6e6e2b29aa95df5cd615fcf39650c41e3bc7", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/rigetti/52a1c423-97e2-49f3-b8b5-820dc99faf77/apply", "externalId" : "52a1c423-97e2-49f3-b8b5-820dc99faf77", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" }, { "city" : "Fremont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5482697,-121.9885710" } ], "locationText" : "Berkeley, California, United States; Fremont, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, C++, Quantum computing, Superconducting qubits, Quantum algorithms, Quantum error correction, Linux, Cloud platforms", "professionalSkills" : [ "Team leadership", "Project management", "Strategic planning", "Technical roadmap", "Budget management", "Hiring", "Mentoring" ], "hardSkillsList" : [ "Software architecture", "System design", "Performance optimization", "Algorithm development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software architecture", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Quantum computing, Software engineering management, Team leadership", "majorSkillsList" : [ "Quantum computing", "Software engineering management", "Team leadership" ], "coreResponsibilities" : "Lead and manage a team of software engineers, Drive the technical roadmap for quantum software development, Oversee the design and implementation of quantum software, Collaborate with quantum hardware teams, Mentor and develop engineering talent, Manage project timelines and deliverables, Ensure code quality and best practices, Contribute to hiring efforts", "teamCollaboration" : "Cross-functional teams; Quantum hardware teams; Engineering leadership", "projectManagementSkills" : [ "Agile methodologies", "Scrum", "Roadmap planning", "Project execution" ], "domainKnowledge" : "Quantum computing; Quantum algorithms; Quantum error correction; Superconducting qubits", "domainList" : [ "quantum-computing", "quantum-algorithms", "quantum-error-correction", "superconducting-qubits" ], "domainSpecificKnowledge" : [ "Quantum computing", "Quantum algorithms", "Quantum error correction", "Superconducting qubits" ], "toolProficiency" : [ "Git", "JIRA", "CI/CD tools" ], "communicationSkills" : "Technical presentations; Cross-team communication", "documentationSkills" : "Technical documentation; Architecture diagrams", "continuousLearning" : "Professional development; Attending conferences", "innovationCreativity" : "Developing novel solutions; Exploring new technologies", "problemSolvingSkills" : "Complex problem solving; Root cause analysis; Debugging", "outcomesObjectives" : "Deliver high-quality quantum software; Advance quantum software capabilities; Foster a high-performing engineering team", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software engineering, 2+ years of experience in management", "qualificationsPreferred" : "Master's degree in Computer Science, Experience with quantum computing, Experience with superconducting qubits", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description About Us At Rigetti, our mission is to build the world’s most powerful computers to solve the world’s most challenging problems. Rigetti is a pioneer in superconducting Qubits and full stack quantum computing systems. In addition to introducing the first multi-chip quantum processor, Rigetti has led the way in software systems for quantum computing, with a distributed operating environment for hybrid quantum-classical computing, and a state-of-the-art streaming characterization and measurement development and execution platform We are seeking a Senior Software Engineering Manager to head the team responsible for software systems that enable the creation, delivery and maintenance of Rigetti’s quantum computers. This includes systems for device design, chip fabrication workflows, physics-informed data analysis, quantum gate-design, and quantum mitigation and error correction technologies. This also includes managing the team and supporting the development of software systems for quantum QPU and system characterization. This is a hands-on leadership role for someone who thrives at the intersection of state-of-the-art software engineering, hardware, and scientific computing. ## Role Overview As a Senior Software Engineering Manager, you will lead the team responsible for software platforms that enable the design, fabrication, characterization, and measurement of Rigetti's quantum systems – with a strong emphasis on integrating into the engineering process. You will manage and develop a team of professional software engineers, and collaborate closely with quantum hardware teams, quantum control systems designers, chip designers, fabrication engineers, and algorithm researchers. You’ll be responsible for engineering and system design that spans the entire gamut of our foundry operations through the delivery of an integrated quantum computing system, and delivery of characterization and measurement software to customers. This is a unique opportunity to build software systems critical for the design and delivery of Rigetti’s quantum computers at a time of significant organizational momentum. The ideal candidate is passionate about accelerating our hardware development flywheel and can empower technical teams in complex scientific environments while creating structure, accountability, prioritization, and long-term sustainability. ## Key Responsibilities Team Leadership & Organizational Development Lead and mentor a cross-functional software engineering team spanning scientific tooling, analytics infrastructure, and fabrication-support systems. Create stronger operational rigor around prioritization, execution, accountability, and project delivery. Provide coaching, growth support, feedback, and career development for engineers across varying levels of seniority. Help establish healthy engineering culture, team norms, and stronger collaboration practices. Serve as a day-to-day thought partner to the VP of Software Engineering while helping create additional leadership bandwidth across the organization. Participate in hiring and team scaling efforts as the organization grows. Technical & Engineering Leadership Partner closely with engineers to drive execution across scientific computing, fabrication tooling, analytics systems, and workflow automation. Support development of internal tooling and data systems that connect design, fabrication, and device performance workflows. Help modernize and operationalize internal tooling that has historically evolved organically through research and prototyping efforts. Drive better long-term ownership, maintainability, and lifecycle planning for internally developed systems and infrastructure. Help evolve engineering infrastructure and validation frameworks that improve scalability, reproducibility, and operational reliability across hardware development environments. Support technical decision-making, architecture discussions, and engineering prioritization while remaining hands-on enough to engage credibly with the team. Contribute technically when appropriate, particularly around debugging, architecture reviews, infrastructure improvements, or smaller engineering initiatives. Cross-functional Collaboration Work closely with quantum engineers, physicists, fabrication engineers, and hardware teams to understand operational pain points and evolving workflow requirements. Help balance competing stakeholder requests while improving prioritization discipline and long-term planning. Partner with fabrication teams as Rigetti continues evolving manufacturing and foundry operations across Berkeley and Fremont. Support systems that connect experimental data, fabrication workflows, characterization tooling, and engineering analytics into scalable internal platforms. Operational & Strategic Impact Help transition the team from highly reactive support work toward more proactive engineering planning and scalable systems development. Improve processes around technical debt management, prototype ownership, platform sustainability, and operational support models. Create better visibility into engineering priorities, roadmap tradeoffs, and team capacity. Support ongoing evolution of Rigetti’s scientific and engineering software ecosystem as the company scales hardware development efforts. Oversee the development, and architecture of data platforms and modeling tools that combine design files, fabrication process data, and device performance metrics. Empower the development and support for tools for design rule checking (DRC), layout-vs-schematic (LVS) checks, and process-aware design verification for quantum devices. ## Qualifications BS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or related field; MS or PhD a plus. 7+ years of software engineering experience, including 2+ years in a people leadership role, whether formal management or equivalent tech lead capacity Demonstrated experience building data systems, ideally in scientific computing or physics-informed models. Demonstrated experience with software systems managing large datasets, metadata, and scalable data pipelines. Experience with streaming architectures and tools (e.g., Kafka, Kinesis, Spark Streaming). Proficiency in Python; familiarity with JavaScript or TypeScript. Comfort in a scientific computing environment is strongly valued. Proficiency with AWS for development and production deployment and distributed computing. People leadership ability, including coaching, performance management, and building team culture, whether formal management experience or demonstrated informal leadership. Strong communication and stakeholder management skills; ability to represent the team's capacity and push back constructively on internal customer requests. Hands-on technical ability; should be capable of making code contributions on an as-needed basis, even if day-to-day focus is leadership. ## Nice-to-Have Knowledge of quantum device physics, such as superconducting qubits, trapped ions, photonics, or quantum information science. Knowledge of quantum control systems and low-level hardware/software interfaces, including cryogenic hardware, RF electronics, and qubit calibration. Familiarity with fabrication processes in semiconductor, quantum, or other hardware/lab-based environments. Familiarity with EDA tools, process design kits (PDKs), and chip layout software such as KLayout or Cadence. Experience with scientific computing platforms, simulation tools, and scientific computing libraries/tools such as NumPy, SciPy, PyTorch, etc. Experience applying machine learning to scientific, operational, or hardware systems for prediction, optimization, or anomaly detection. Experience with compiled languages such as Go or Rust. ## Additional Information As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged. About Rigetti Rigetti Computing is a pioneer in full-stack quantum computing. The company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The company’s proprietary quantum-classical infrastructure provides ultra-low latency integration with public and private clouds for high-performance practical quantum computing. Rigetti has developed the industry’s first multi-chip quantum processor for scalable quantum computing systems. The company designs and manufactures its chips in-house at Fab-1, the industry’s first dedicated and integrated quantum device manufacturing facility. Rigetti was founded in 2013 and today employs more than 150 people with offices in the United States, U.K., and Australia. Learn more at www.rigetti.com. Don't see the job you want? Apply here so we can keep in touch with you when the right role opens up in the future! Export Licensing Compliance Rigetti is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "summaryDescription" : "Senior Software Engineering Manager at Rigetti. Skills: Quantum computing, Software engineering management, Team leadership. Lead and manage a team of software engineers. 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Engineering teams; Product management teams; Finance teams; Sales teams; Support teams; Cloud operations groups", "projectManagementSkills" : [ "Roadmaps" ], "domainKnowledge" : "Billing systems; SaaS; Cloud platforms; Multi-service deployments; Microservices; Taxation; Revenue accounting; Month-close compliance; Product launches", "domainList" : [ "billing-systems", "saas", "cloud-platforms", "multi-service-deployments", "microservices", "taxation", "revenue-accounting", "month-close-compliance", "product-launches" ], "domainSpecificKnowledge" : [ "Billing systems", "SaaS", "Cloud platforms", "Multi-service deployments", "Microservices", "Taxation", "Revenue accounting", "Month-close compliance", "Product launches" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Collaboration skills", "documentationSkills" : "Documentation of platform; Documentation of control plane", "continuousLearning" : "Conference reimbursement; Training reimbursement; Education reimbursement; LinkedIn Learning courses", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Reduce operational cost; Reduce time-to-resolution", "qualificationsBasic" : "Proficiency in Go, Experience with distributed systems, Experience with complex multi-service deployments, Hands-on knowledge of microservices, Experience with scripting and automation tools", "qualificationsPreferred" : "Additional experience in Ruby a plus, Experience with technologies like Docker, Experience with technologies like Kubernetes, Experience with technologies like gRPC, Experience with technologies like Kafka, Experience with technologies like MySQL, Experience with technologies like Redis, Experience with Python, Experience with Shell scripting", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About the Team The Billing Engineering team is responsible for managing a broad and complex platform, with a range of functions, comprising 70 services. As DigitalOcean continues its rapid growth and moves upmarket, the demands on the platform have significantly increased. This team will focus on operational enablement for the business and our customers, by focusing on platform resiliency and operational excellence. The Opportunity We are seeking highly motivated and skilled engineers in Hyderabad. You will play a critical role in ensuring the smooth operation of our control plane platform, providing technical support, managing operations, and driving efficiency through automation. This is an exciting opportunity to be a part of building a new team and making a significant impact on our company's growth. What You'll Do: Triage: review and resolve escalated support tickets, including invoicing discrepancies, collections issues (payments/dunning), and taxation inquiries. Serve as the second line of support for incoming bug reports from customers and first line of support for internal stakeholders. Automate: Develop tooling to support automation for billing and customer management platform to reduce operational cost and time-to-resolution for first level customer support requests. Operational ownership: Take ownership of core billing platform operations, including facilitating credits, discounts, promotions, and commitment deals; working with the Tax team on taxation regions; managing SaaS Marketplace vendor ledgers; coordinating refunds and write-offs with the Revenue Accounting team; and supporting month-close compliance reporting. Development: design and maintain automation tooling to improve the efficiency of internal billing and customer management operational tasks. DevOps: Collaborate with the architecture and cloud operations groups to contribute to operational excellence and the stability of the platform. Product Revenue Assurance: Develop revenue assurance tooling and synthetic testing to proactively identify and address potential revenue leaks. New Product Launches: Take ownership of the operational aspects of new product launches for existing products, working closely with product teams to ensure timely delivery. Collaborate: Work closely with engineering, product management, finance, sales, and support teams to ensure seamless processes and build roadmaps. Contribute: improve the documentation of the platform and control plane by updating or creating new processes and procedures. What You’ll Add to DigitalOcean: Strong technical aptitude and problem-solving skills. Proficiency in Go, with additional experience in Ruby a plus. Experience with distributed systems and complex multi-service deployments Hands-on knowledge of microservices and technologies like Docker, Kubernetes, gRPC, Kafka, MySQL, and Redis. Experience with scripting and automation tools (e.g., Python, Shell scripting). Excellent communication and collaboration skills. Ability to work independently and manage multiple priorities in a fast-paced environment. A proactive and detail-oriented approach. [Optional: Bachelor's degree in Computer Science, Engineering, or a related field.] This is a hybrid role based out of Hyderabad, India. #LI-Hybrid Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.", "summaryDescription" : "Senior Software Engineer - Billing Engineering at DigitalOcean. Skills: Billing Engineering, Platform resiliency, Operational excellence. Triage escalated support tickets. 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"technicalSkills" : "Golang, Rust, AWS ECS, AWS Lambda, AWS Eventbridge, AWS SQS, AWS SNS, DynamoDB, SSM, IAM, C#, Python, Terraform, GitLab CI/CD, AI", "professionalSkills" : [ "People leadership", "Backend depth", "Roadmap planning", "Dependency management", "Predictable shipping", "Technical communication", "Design docs", "Architecture reviews", "Hiring", "Performance conversations", "System design", "IaC at scale", "Multi-region IaC", "CI deploy patterns", "Pipeline design", "Multi-environment deployment", "Security engineering concepts", "Threat modeling", "Zero-trust principles", "Secrets management" ], "hardSkillsList" : [ "Email delivery", "Event publish", "Subscribe pattern", "Outbound notification delivery", "Rate limiting", "Retry logic", "Message routing", "Delivery tracking", "Idempotency", "Dead-letter queues", "Backoff strategy", "Event emission", "Notification sending", "Backward compatibility", "Terraform provisioning", "Governing messaging", "Event layer", "Delivery 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webhook-based delivery, Implement rate limiting, Implement retry logic, Implement per-channel formatting logic, Build event publish and subscribe infrastructure, Build subscribers backed by AWS Eventbridge, Build message routing layer, Coordinate state changes across bounded contexts, Ensure delivery reliability, Ensure observability, Implement idempotency, Implement dead-letter queues, Implement retry and backoff strategy, Implement end-to-end delivery tracking, Build cross-team messaging SDKs, Let other engineering teams emit events, Let other engineering teams send notifications, Provision IaC at scale, Govern the messaging and events layer, Manage engineers directly, Run hiring loops, Handle performance conversations, Grow people into larger roles, Evaluate designs, Reason about systems your team designs, Plan roadmaps, Manage dependencies, Achieve predictable shipping, Write design docs, Write RFCs, Conduct architecture reviews, Synthesize complexity into clear proposals, Lead a software team, Develop software using KnowBe4 SDLC, Follow Agile Methodologies, Recommend solutions to engineering problems, Provide recommendations for hiring, Provide recommendations for firing, Provide recommendations for promotion, Provide recommendations for discipline", "teamCollaboration" : "Cross-organizational boundaries; Internal engineering teams; Other engineering teams", "projectManagementSkills" : [ "Roadmap planning", "Dependency management", "Predictable shipping", "Agile Methodologies" ], "domainKnowledge" : "Identity; Platform reliability; Workforce security; AI agents; Prompt injection; Shadow AI; Behavioral data; Social engineering; Event publish subscribe; Event-driven architecture; Bounded contexts; Message delivery; Email reputation; Chat API rate limits; Zero-trust principles; Secrets management; Credential rotation", "domainList" : [ "identity", "platform-reliability", "workforce-security", "ai-agents", "prompt-injection", "shadow-ai", "behavioral-data", "social-engineering", "event-publish-subscribe", "event-driven-architecture", "bounded-contexts", "message-delivery", "email-reputation", "chat-api-rate-limits", "zero-trust-principles", "secrets-management", "credential-rotation" ], "domainSpecificKnowledge" : [ "Identity", "Platform reliability", "Workforce security", "AI agents", "Prompt injection", "Shadow AI", "Behavioral data", "Social engineering", "Event publish subscribe", "Event-driven architecture", "Bounded contexts", "Message delivery", "Email reputation", "Chat API rate limits", "Zero-trust principles", "Secrets management", "Credential rotation" ], "toolProficiency" : [ "AWS", "GitLab CI/CD", "Terraform" ], "communicationSkills" : "Technical communication; Design docs; Architecture reviews", "documentationSkills" : "Design docs; RFCs", "continuousLearning" : "Tuition reimbursement; Certification reimbursement; Certification completion bonuses", "problemSolvingSkills" : "Solve problems", "specialRequirements" : "US only", "qualificationsBasic" : "3 years technical experience, 5 years of experience, including team leadership, 4 years of experience, including team leadership, Working fluency in typed, compiled language, AWS messaging and compute stack knowledge, Event-driven architecture knowledge, Messaging and delivery domain literacy, Prior individual contributor experience in messaging, eventing, or platform engineering, Go production experience, Rust exposure", "qualificationsPreferred" : "BS or equivalent plus 3 years technical experience, MS or equivalent plus 5 years of experience, including team leadership, Ph. D. or equivalent plus 4 years of experience, including team leadership", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. Remote positions open to the US only. Role Summary KnowBe4's Platform Services group builds the infrastructure that every product team depends on. As a Software Engineering Manager, you own the team that shapes that foundation. You'll lead at the intersection of identity, platform reliability, and building and growing the engineers who solve problems with direct impact on every engineer and every customer at KnowBe4. The messaging and events platform your team owns underpins bespoke email delivery, event publish and subscribe (pub/sub, the pattern where services broadcast events and other services subscribe to the ones they care about), and outbound notification delivery across Microsoft Teams, Slack, Google Chat, and other channels for the entire KnowBe4 product suite. Decisions made here ripple across every engineering team at KnowBe4 and the inboxes and channels of a global customer base. We need a manager who can think at that scale, communicate across organizational boundaries, and stay close enough to the technology to make sound calls without writing every line themselves. What Your Team Builds High-throughput email delivery (legacy & new) services in Golang & Rust deployed as AWS ECS Tasks & Lambda functions: low-latency send pipelines handling batching, deliverability, and bounce processing across multiple AWS regions Outbound channel integrations: connectors for Microsoft Teams, Slack, Google Chat, and webhook-based delivery, including the rate limiting, retry, and per-channel formatting logic each provider demands Event publish and subscribe infrastructure: DFS (Data Foundation Service) subscribers, backed by AWS Eventbridge, and the message routing layer that coordinates state changes across bounded contexts Delivery reliability and observability: idempotency, dead-letter queues, retry and backoff strategy, and end-to-end delivery tracking so teams can see whether a message actually landed Cross-team messaging SDKs: libraries in Rust, C#, and Python that let other engineering teams emit events and send notifications, where design quality and backward compatibility matter deeply IaC at scale: multi-account, multi-region Terraform provisioning and governing the messaging and events layer across development, staging, and production What You'll Own People leadership experience: you have managed engineers directly, run hiring loops, handled performance conversations, and grown people into larger roles Enough backend depth to lead credibly: working fluency in a typed, compiled language (Go, Rust, C#, or equivalent) and the judgment to evaluate designs, not necessarily to be the top coder on the team AWS messaging and compute stack: ECS, Lambda, EventBridge, SQS, SNS, DynamoDB, SSM, and IAM at a level where you can reason about the systems your team designs Event-driven architecture: pub/sub, fan-out, eventual consistency, idempotency, dead-letter handling, and delivery guarantees (at-least-once versus exactly-once and the tradeoffs between them) Messaging and delivery domain literacy: you understand what it takes to actually get a message delivered, whether that is email reputation and bounce handling or the rate limits and retry semantics of a third-party chat API Delivery management: roadmap planning, dependency management, and predictable shipping in a discovery-heavy platform context Technical communication: design docs, RFCs, and architecture reviews, plus the ability to synthesize complexity into clear proposals for both engineers and executives Lead a software team that develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies Recommend solutions to engineering problems Provide genuine recommendations as to the hiring, firing, promotion, and discipline of subordinate employees to which the Company gives significant weight Skills Requirements Prior individual contributor experience in messaging, eventing, or platform engineering before moving into management Go production experience: comfort with the concurrency model and the kind of high-throughput service work this team does day to day Rust exposure: enough familiarity with the async ecosystem (tokio, axum, reqwest, serde) to follow and guide technical discussion Email infrastructure: AWS SES or third-party ESPs (such as SendGrid or Postmark), plus SMTP and the deliverability standards SPF, DKIM, and DMARC Third-party messaging integrations: Slack API, Microsoft Graph and Teams, Google Chat API, and webhook delivery patterns AWS EventBridge and SNS or SQS at scale: event bus design, schema management, and routing across bounded contexts C# and .NET (8+) or Python: both show up in this layer for services and event-processing tooling Terraform at scale: multi-account, multi-region IaC and CI deploy patterns Observability tooling: structured logging, tracing, and delivery metrics for systems where \"did it actually arrive\" is the core question Experience managing a platform or infrastructure team whose customers are other internal engineering teams Preferred / Nice-to-Have Prior individual contributor experience in identity, auth, or platform engineering before moving into management Rust exposure: enough familiarity with the async ecosystem to follow and guide technical discussion C# and .NET (8+): Lambda AOT compilation, ASP.NET Core, Native AOT targeting linux-arm64 Auth0 and Keycloak: tenant and realm administration, SAML, OIDC, and OAuth app configuration Terraform at scale: multi-account, multi-region IaC and CI deploy patterns GitLab CI/CD: pipeline design and multi-environment deployment Security engineering concepts: threat modeling, zero-trust principles, secrets management, and credential rotation Experience managing a platform or infrastructure team whose customers are other internal engineering teams Education & Experience BS or equivalent plus 3 years technical experience MS or equivalent plus 5 years of experience, including team leadership Ph. D. or equivalent plus 4 years of experience, including team leadership The base pay for this position ranges from $150,000 - $174,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above. Application deadline: 9/15/2026. This is our good-faith estimate of the date the application window is anticipated to close. KnowBe4 reviews applications on a rolling basis and reserves the right to close the application window early if a qualified candidate for the position is identified. Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please.", "summaryDescription" : "Software Engineering Manager at KnowBe4. Skills: Platform engineering, Messaging systems, Event-driven architecture, AWS. Own the team that shapes the foundation. Lead at the intersection of identity, platform reliability", "postedDate" : "2026-06-16T01:15:49.134", "createdAt" : "2026-06-16T01:15:49.134", "lastUpdated" : "2026-06-16T10:35:28.591", "ingestTimestamp" : "2026-06-16T01:15:49.134", "mongoId" : "6a30763bf292fd229c017522", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Email delivery", "Event publish", "Subscribe pattern", "Outbound notification delivery", "Rate limiting", "Retry logic", "Message routing", "Delivery tracking", "Idempotency", "Dead-letter queues", "Backoff strategy", "Event emission", "Notification sending", "Backward compatibility", "Terraform provisioning", "Governing messaging", "Event layer", "Delivery guarantees", "Email reputation", "Bounce handling", "Leadership", "Platform engineering", "Messaging systems", "Event-driven architecture", "AWS", "People leadership", "Backend depth", "Roadmap planning", "Dependency management", "Predictable shipping", "Technical communication", "Design docs", "Architecture reviews", "Hiring", "Performance conversations", "System design", "IaC at scale", "Multi-region IaC", "CI deploy patterns", "Pipeline design", "Multi-environment deployment", "Security engineering concepts", "Threat modeling", "Zero-trust principles", "Secrets management", "Agile Methodologies", "Identity", "Platform reliability", "Workforce security", "AI agents", "Prompt injection", "Shadow AI", "Behavioral data", "Social engineering", "Event publish subscribe", "Bounded contexts", "Message delivery", "Chat API rate limits", "Credential rotation", "GitLab CI/CD", "Terraform" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0f474d8ee00a09dba62", "title" : "Senior Software Engineering Manager, Platform", "company" : "MaintainX", "industry" : "Engineering", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineering Manager, Platform in Montreal, Canada, adjusted for SaaS industry and manager seniority." }, "location" : "Montreal", "locations" : [ "Montreal" ], "timestamp" : "2026-06-15T12:01:37.630", "fingerprint" : "e15a98e154df059f1b2cb97043d31941c92b3377e93912cf74795b1c1c8c1f8f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/maintainx/690528ae-65e9-4022-af58-7797014ce3a4/application", "externalId" : "690528ae-65e9-4022-af58-7797014ce3a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLMs, Agentic workflows, Distributed systems, Backend frameworks, Mobile frameworks, Platform engineering, Reliability engineering, CI/CD", "professionalSkills" : [ "Roadmap ownership", "Operating model definition", "Cross-team dependency management", "Organizational effectiveness", "Engineering standards", "Architectural decisions", "Headcount planning", "Org design", "Developer experience" ], "hardSkillsList" : [ "People development", "Technical judgment", "System design", "Incident response", "SLO definitions" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "People development", "level" : "intermediate" }, { "name" : "Technical judgment", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "SLO definitions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Platform Engineering, AI-native platform strategy, Reliability engineering, Manager of managers", "majorSkillsList" : [ "Platform Engineering", "AI-native platform strategy", "Reliability engineering", "Manager of managers" ], "coreResponsibilities" : "Own roadmap and operating model, Set division-level priorities, Manage cross-team dependencies, Translate business goals, Lead and develop managers, Coach on people development, Coach on technical judgment, Coach on organizational effectiveness, Set engineering standards, Drive AI-native platform strategy, Ensure org extracts AI leverage, Own division-level reliability, Define SLOs, Manage incident response frameworks, Manage on-call health, Manage systemic path from incident to prevention, Partner with CTO, Partner with peer leaders, Represent Platform Engineering to business, Translate infrastructure investment", "teamCollaboration" : "Cross-team dependencies; Peer engineering leaders; Platform Engineering to business; Product; Finance; Executive stakeholders", "projectManagementSkills" : [ "Roadmap planning", "Operating model" ], "domainKnowledge" : "AI-powered maintenance; Asset management; Enterprise Asset Management; CMMS; IoT; Industrial SaaS", "domainList" : [ "ai-powered-maintenance", "asset-management", "enterprise-asset-management", "cmms", "iot", "industrial-saas" ], "domainSpecificKnowledge" : [ "AI-powered maintenance", "Asset management", "Enterprise Asset Management", "CMMS", "IoT", "Industrial SaaS" ], "communicationSkills" : "Represent platform complexity; Translate tradeoffs", "problemSolvingSkills" : "Identify organizational bottlenecks; Eliminate bottlenecks", "outcomesObjectives" : "Boost reliability; Boost performance; Boost efficiency; Improve engineering velocity; Improve developer experience; Build customer trust", "qualificationsBasic" : "10+ years in software engineering, 5+ years in engineering leadership, 2+ years managing managers, Technical depth in distributed systems, Technical depth in backend frameworks, Technical depth in mobile frameworks, Technical depth in platform engineering, Technical depth in reliability engineering, Track record owning platform teams, Track record owning infrastructure teams, AI-forward experience", "qualificationsPreferred" : "Experience leading testing frameworks, Experience leading quality engineering, Experience leading developer productivity platform, Hands-on scaling developer platforms, Familiarity with CMMS, Familiarity with IoT, Familiarity with industrial SaaS", "rawDescription" : "MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. MaintainX is the leading AI-powered Enterprise Asset Management (EAM) platform built for the modern world. Our mission is to make the lives of blue-collar workers easier worldwide by providing intuitive, mobile-first software that helps teams keep the physical world running. MaintainX powers operational excellence for 12,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell. We recently completed a $150 million Series D round, bringing our total funding to $254 million and valuing the company at $2.5 billion. We’re redefining how maintenance and operations teams work—transforming maintenance from a cost center into a strategic lever for growth. MaintainX fuses enterprise strength with consumer simplicity, empowering organizations to boost reliability, performance, and efficiency. THE OPPORTUNITY We're looking for a Senior Software Engineering Manager to lead MaintainX's Platform division — the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance, Testing Frameworks, Backend Frameworks, Mobile Frameworks, and SRE. This is a manager-of-managers role for someone who wants to define how a high-growth engineering org operates at scale. WHAT YOU’LL DO: - Own the roadmap and operating model for Platform Engineering: set division-level priorities, manage cross-team dependencies, and translate business goals into multi-quarter platform investments. - Lead and develop a team of Software Engineering Managers - coaching on people development, technical judgment, and organizational effectiveness across seven teams. - Set the engineering standards every product team depends on: framework conventions, reliability targets, compliance posture, and CI/CD health. - Drive MaintainX's AI-native platform strategy - the AI Builder team's agent orchestration, tool registry, and developer environments sit in this division; your job is to ensure the org extracts real leverage from them. - Own division-level reliability: SLO definitions, incident response frameworks, on-call health, and the systemic path from incident to prevention. - Partner with the CTO and peer engineering leaders on org design, architectural decisions, and headcount planning. - Represent Platform Engineering to the business — translating infrastructure investment into engineering velocity, developer experience, and customer trust. ABOUT YOU: - 10+ years in software engineering with 5+ years in engineering leadership, including 2+ years managing managers across multiple teams. - Technical depth in at least two of: distributed systems, backend or mobile frameworks, platform engineering, reliability engineering - credible enough to make hard hiring decisions and engage in architecture reviews. - Track record of owning platform or infrastructure-focused teams at a growth-stage B2B SaaS company, with demonstrated impact on engineering velocity. - AI-forward: you set direction for teams building on LLMs and agentic workflows, and you hold your org to an AI-native standard. - Systems thinker who identifies organizational bottlenecks and eliminates them without creating new ones — you design teams, not just manage them. - Strong communicator who can represent platform complexity and tradeoffs clearly to product, finance, and executive stakeholders. NICE TO HAVE: - Experience leading a Testing Frameworks, Quality Engineering, or Developer Productivity platform function. - Hands-on history scaling developer platforms through rapid headcount growth (Series D+). - Familiarity with CMMS, IoT, or industrial SaaS domains. What’s in it for you: - Competitive salary and meaningful equity opportunities. - Healthcare, dental, and vision coverage. - 401(k) / RRSP enrollment program. - Take what you need PTO. - A Work Culture https://crew.vc/perspectives-insights/scaling-culture-through-hyper-growth/ where: - You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists. - We believe in meritocracy, where ideas and effort are publicly celebrated. About Us: Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for that 80% of the workforce who doesn’t work behind a desk and needs enterprise-grade software at their fingertips.MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.", "summaryDescription" : "Senior Software Engineering Manager, Platform at MaintainX. Skills: Platform Engineering, AI-native platform strategy, Reliability engineering, Manager of managers. Own roadmap and operating model. Set division-level priorities", "createdAt" : "2026-06-14T05:46:31.214", "lastUpdated" : "2026-06-15T12:01:37.630", "ingestTimestamp" : "2026-06-14T05:46:31.214", "mongoId" : "6a2cb0f474d8ee00a09dba62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "People development", "Technical judgment", "System design", "Incident response", "SLO definitions", "Leadership", "Mentoring", "Critical thinking", "Platform Engineering", "AI-native platform strategy", "Reliability engineering", "Manager of managers", "Roadmap ownership", "Operating model definition", "Cross-team dependency management", "Organizational effectiveness", "Engineering standards", "Architectural decisions", "Headcount planning", "Org design", "Developer experience", "Roadmap planning", "Operating model", "AI-powered maintenance", "Asset management", "Enterprise Asset Management", "CMMS", "IoT", "Industrial SaaS" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69f46f044c40e2acd1b368bd", "title" : "Advanced Security System Engineering Specialist", "company" : "Amazon Data Services, Inc.", "industry" : "Investigation Loss Prevention, Data Center Security, Cloud Computing", "salary" : { "min" : 28.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T04:34:57.684", "fingerprint" : "be20b7e1d3dd5c2a58541ea3e5a5cf777cfaa375ec74f895a64ae53c5fa8b2b2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408635/apply", "externalId" : "603c3784-7dc5-4c18-b936-53413ab1ba0c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CCTV", "professionalSkills" : [ "Security operations", "Physical security" ], "hardSkillsList" : [ "Process management", "Data extraction", "Performance metrics" ], "softSkillsList" : [ "Critical thinking", "Judgment" ], "hardSkills" : [ { "name" : "Process management", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Judgment" } ], "majorSkills" : "Security systems, Operations management", "majorSkillsList" : [ "Security systems", "Operations management" ], "coreResponsibilities" : "Manage chat queue, Manage phone communications, Generate trouble tickets, Manage trouble tickets, Handle incoming chats, Provide customer support, Drive security awareness campaigns, Configure physical security devices, Support daily operational security, Distill security strategy into tactics", "teamCollaboration" : "Partner teams; Cross-functional teams", "domainKnowledge" : "Physical security principles; Data center security", "domainList" : [ "physical-security-principles", "data-center-security" ], "domainSpecificKnowledge" : [ "Physical security principles", "Data center security" ], "toolProficiency" : [ "Workflow ticketing" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Write security process; Write security procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Enhance security vigilance; Enhance security effectiveness; Reach management goals", "qualificationsBasic" : "Physical security best practices, 1+ years operations center experience, 2+ years intrusion detection systems, 2+ years video monitoring systems", "qualificationsPreferred" : "Overseeing security operations experience, Working with security vendors experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) serves customers and developers who rely on storage, compute, and our other service capabilities. Our customers trust us to handle their data with air-tight security measures, which is something that we guarantee. AWS is growing rapidly, and we are looking for a Security Services Specialist to join our expanding Infrastructure Operations team. As a Security Services Specialist you will be tasked with driving operational security excellence within Data Centers while working with partner teams and leaders. The ideal candidate will manage communications and provide services as required. You will make suggestions on improving electronic surveillance and access controls. You will write and implement security process and procedures. Your position will require you to extract metrics and observe improvements by looking at hard data. The successful candidate must have a proven track record of customer service, possess excellent verbal and written communication skills, and demonstrate good judgment and critical thinking. An ideal candidate for this role will be able to work at all levels, from the theoretical knowledge of physical security principles to the practical application and real-world implementation of processes and measures. You must have a proven record of accomplishment in operations room/center dispatching, data center security operations, physical security, customer service; and the ability to multi-task. Key job responsibilities -You will manage a chat queue, phone communications, generate and/or manage trouble tickets, handle incoming chats, and provide support to customers. -Drive security awareness campaigns aimed at enhancing security vigilance and effectiveness -Experience with workflow ticketing and extraction/development of performance metrics -Configure physical security devices including cameras, readers, and panels. -Support daily operational security across a data center campus -Distill overarching security strategy into daily tactics to reach management goals About the team AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience with physical security best practices which includes the application of physical security systems, investigation techniques and management of contract security guards - 1+ years' experience in an operations center, control room environment, or technical support experience. - 2+ years' experience with intrusion detection (alarm systems) and with video monitoring systems (CCTV). Preferred Qualifications: - 2+ years of overseeing security operations and working with security vendors/contractors experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Herndon - 28.00 - 50.00 USD hourly", "summaryDescription" : "Advanced Security System Engineering Specialist at Amazon Data Services, Inc.. Skills: Security systems, Operations management. Manage chat queue. 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Agile/Scrum delivery; Cross-functional management", "projectManagementSkills" : [ "Agile", "Scrum", "Agile practices" ], "domainKnowledge" : "Healthcare Informatics; Data integrity; MPP environments; Data-intensive environments; HIPAA requirements", "domainList" : [ "healthcare-informatics", "data-integrity", "mpp-environments", "data-intensive-environments", "hipaa-requirements" ], "domainSpecificKnowledge" : [ "Healthcare Informatics", "Data integrity", "MPP environments", "Data-intensive environments", "HIPAA requirements" ], "toolProficiency" : [ "Selenium", "Playwright", "Postman", "JMeter", "ADO" ], "documentationSkills" : "Documentation policies", "problemSolvingSkills" : "Problem-solving mentality; Conceptual thinking; Analytical judgment", "specialRequirements" : "Sedentary work, Less than 5% travel, Not eligible for immigration sponsorship, Authorized to work in US", "qualificationsBasic" : "5+ years leading QA teams, 5+ years test automation experience, 4+ years SOA testing, 4+ years ETL testing, 4+ years defect management tools, 3+ years Test Architect experience", "qualificationsPreferred" : "Informatica preferred, Tableau preferred, QA Lead experience preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview: The Senior Manager, Quality & Engineering requires strong technical capabilities plus an instinctive, problem-solving mentality and experience conceptualizing and creating out-of-the-box solutions. The Senior Manager, Quality & Engineering requires deep expertise in software quality, test automation, and Agile execution. Working closely with senior engineers and product leaders, this role embeds quality into every stage of sprint delivery, manages technical debt, and ensures data integrity – all within Inovalon’s fast-growing IT Healthcare Informatics industry. Duties and Responsibilities: - Serves as a second-level manager overseeing first-level managers, supervisors, and a cross-functional team of Quality Assurance and Performance Engineers and Testers; provides direct support for critical issue resolution and risk mitigation. - Manages and coordinates onshore and offshore staff across Agile/Scrum delivery teams; ensures clarity of roles, sprint expectations, and individual accountability. - Establishes operational objectives, policies, procedures, and work plans; delegates assignments and advises teams on moderately complex matters. - Owns hiring, performance appraisals, and talent decisions for direct reports; actively mentors QA Engineers, Quality Analysts, and developers on Agile practices and quality ownership. - Makes decisions with direct impact on medium-term (1+ year) team and program outcomes; develops and executes policies with potential company-wide effect. - Drives the strategy and execution of larger enterprise initiatives, contributing across multiple areas of the organization. - Maintains expert-level knowledge of Inovalon's products and services to inform quality strategy and meet product development requirements. - Leads implementation of technical solutions, ensuring best practices in architecture, design, development, and quality engineering are consistently applied. - Defines, develops, and deploys the product quality assurance and performance strategy across all phases of the product development lifecycle. - Owns checklists and Definitions of Done (DODs) for software testing, performance, and deployment; ensures delivery against all QA goals and objectives. - Selects and maintains tools and methodologies to identify defects, enforce quality standards, and ensure the effectiveness of essential QA infrastructure. - Drives continuous adoption of test automation; stays current with industry trends and recommends process improvements and alternative testing approaches. - Delivers, revises, and approves test plans; establishes and maintains high standards for test coverage and release readiness, including within MPP and data-intensive environments. - Provides oversight of sprint delivery timelines and quality gates; ensures team adherence to development schedules and product specification requirements. - Develops clear, realistic execution plans aligned with customer commitments set by business development and product teams. - Allocates resources effectively and removes impediments to protect the team's ability to deliver each sprint goal. - Anticipates product release risks and takes timely corrective action; flags interdepartmental delivery timing and output quality issues. - Addresses complex, ambiguous challenges requiring conceptual thinking and deep organizational knowledge; navigates quality, platform health, and technical debt issues with both strategic and hands-on judgment. - Engages regularly with cross-functional and senior management on matters affecting functional areas, departments, and external customers; influences stakeholders and drives alignment on departmental outcomes. - Establishes and maintains documentation policies for all products. - Maintains compliance with Inovalon’s policies, procedures and mission statement. - Adheres to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position. - Fulfills those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer. Job Requirements: - 5+ years leading QA teams as a QA Manager, Test Lead, or equivalent, covering all testing phases: System, Integration, UAT, and Performance; onshore/offshore delivery model experience required. - 5+ years of hands-on experience with test automation tools (e.g., Selenium, Playwright, Postman, JMeter) and designing/developing test automation frameworks and in-house testing tools. - 4+ years of experience across SOA, web-based, and three-tier architectures; ETL, reporting, and data analytics testing experience; Informatica and Tableau preferred. - 4+ years with defect management tools (ADO); 3+ years as a Test Architect or QA Lead preferred. - Demonstrated Agile/Scrum experience including leading sprint ceremonies, backlog management, and partnering with engineering teams to identify and reduce technical debt. - Solid understanding of QA principles: manual testing, test automation (UI, API, data layers), data validation, white-box, black-box, load, coverage, and regression testing methodologies. - Proficiency in DevOps and CI/CD practices; experience tracking and reporting SLAs and KPIs in managed services engagements. - Experience with large-scale test strategies including data migration and conversion projects; healthcare or pharmacy domain experience preferred. - Comprehensive business process knowledge with sound judgment in day-to-day management decisions; strong organizational, analytical, and communication skills; detail-oriented with the ability to manage competing priorities. - Experience managing healthcare/pharmacy business units is preferred. - Experience in test methodologies and strategies for large scale projects is required; data migration/conversion projects is preferred. - Must possess strong organizational and communication skills, both verbal and written. - Ability to work both independently and effectively in teams. - Must possess a strong attention to detail. Education: - Bachelor's degree or equivalent required; 10+ years of experience in software quality, test engineering, or engineering leadership, with at least 4 years in a management or leadership role. Physical Demands and Work Environment: - Sedentary work (i.e. sitting for long periods of time). - Exerting up to 10 pounds of force occasionally and/or negligible amount of force. - Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions. - Subject to inside environmental conditions. - Travel for this position will include less than 5% locally, usually for training purposes. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link https://postings.govdocs.com/#/8sZXnFNWk3KYs3F To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link https://www.inovalon.com/privacy-policy/", "summaryDescription" : "Senior Manager, Software Quality Engineering at Inovalon. Skills: Software quality, Test automation, Agile execution, Quality engineering. Oversee managers and engineers. 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The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join our Docs Engineering Team. In this role, you will bring your technical expertise to our distributed team in order to build, maintain, and support our documentation platform, tooling and pipelines. You will also work alongside a variety of stakeholders to understand business needs, plan and design solutions, and rollout and promote systems and processes. Versatility and an interest in working across a range of projects and programming languages, is essential. We are looking for a formidable systems thinker, a polyglot engineer who views programming languages as tools rather than identities. Someone who knows how to build software using the right methods, both established and new. and who has a drive to improve efficiency and automation through intelligent and informed choices. The Docs Engineering Team is responsible for making available documentation to both internal and external users across the entire Elastic ecosystem. We do this by providing utilities, platforms and processes by which documentation can be authored, organized and delivered in both traditional and emerging ways. So as part of our Docs Engineering Team, you won't just be maintaining a platform, you'll be building the sophisticated tooling and pipelines that deliver documentation to the world. You will have the autonomy to help lead the effort in redefining how technical documentation is authored and delivered. If you are a self-motivated engineer who enjoys solving high-level architectural puzzles and isn't afraid to get their hands dirty across different stacks, we want to talk to you. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll be developing, maintaining, and supporting software that bridges the gap between content creation and high-scale delivery. You'll work in a multi-language environment across a range of technologies. You'll leverage AI-assisted coding and emerging tools to radically improve engineering efficiency and automation. You'll work alongside with the Product Team and other stakeholders to translate business needs into elegant, scalable deployment patterns and processes. You'll maintain a relentless focus on usability, ensuring our documentation platforms provide a world-class experience for developers. What You Bring You have proven experience in building, releasing, supporting and maintaining software products for a broad user base. You have a minimum 8 years of recent software engineering experience, with proficiency in a variety of programming languages. You are comfortable with AI-assisted coding and have a drive to integrate these tools into the modern development lifecycle. You can demonstrate a deep understanding of industry best practices, complex architectures, and the nuances of distributed systems. You have a strong focus on usability and developer experience. You have a genuine interest in technology. You have excellent communication, collaboration, and interpersonal skills. You can think clearly, work independently, and collaborate effectively across a remote, global team. Ideally, you also have prior experience of Elastic products (though this is not essential). Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €55.800—€88.300 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Software Engineer - Docs Engineering - Documentation at Elastic", "postedDate" : "2026-06-15T23:28:30.112", "createdAt" : "2026-06-15T23:28:30.112", "lastUpdated" : "2026-06-16T11:44:34.538", "ingestTimestamp" : "2026-06-15T23:28:30.112", "mongoId" : "6a305a6af292fd229cf505b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf505b2", "title" : "Senior Software Engineer - Docs Engineering - Documentation", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in the UK Technology industry, adjusted for seniority and company size." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-16T08:56:28.209", "fingerprint" : "9f8d6545d6082185054b2bed12c969df6fbfac0e767ba19ee098104c882a33b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008485&gh_jid=8008485", "externalId" : "8008485", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join our Docs Engineering Team. In this role, you will bring your technical expertise to our distributed team in order to build, maintain, and support our documentation platform, tooling and pipelines. You will also work alongside a variety of stakeholders to understand business needs, plan and design solutions, and rollout and promote systems and processes. Versatility and an interest in working across a range of projects and programming languages, is essential. We are looking for a formidable systems thinker, a polyglot engineer who views programming languages as tools rather than identities. Someone who knows how to build software using the right methods, both established and new. and who has a drive to improve efficiency and automation through intelligent and informed choices. The Docs Engineering Team is responsible for making available documentation to both internal and external users across the entire Elastic ecosystem. We do this by providing utilities, platforms and processes by which documentation can be authored, organized and delivered in both traditional and emerging ways. So as part of our Docs Engineering Team, you won't just be maintaining a platform, you'll be building the sophisticated tooling and pipelines that deliver documentation to the world. You will have the autonomy to help lead the effort in redefining how technical documentation is authored and delivered. If you are a self-motivated engineer who enjoys solving high-level architectural puzzles and isn't afraid to get their hands dirty across different stacks, we want to talk to you. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll be developing, maintaining, and supporting software that bridges the gap between content creation and high-scale delivery. You'll work in a multi-language environment across a range of technologies. You'll leverage AI-assisted coding and emerging tools to radically improve engineering efficiency and automation. You'll work alongside with the Product Team and other stakeholders to translate business needs into elegant, scalable deployment patterns and processes. You'll maintain a relentless focus on usability, ensuring our documentation platforms provide a world-class experience for developers. What You Bring You have proven experience in building, releasing, supporting and maintaining software products for a broad user base. You have a minimum 8 years of recent software engineering experience, with proficiency in a variety of programming languages. You are comfortable with AI-assisted coding and have a drive to integrate these tools into the modern development lifecycle. You can demonstrate a deep understanding of industry best practices, complex architectures, and the nuances of distributed systems. You have a strong focus on usability and developer experience. You have a genuine interest in technology. You have excellent communication, collaboration, and interpersonal skills. You can think clearly, work independently, and collaborate effectively across a remote, global team. Ideally, you also have prior experience of Elastic products (though this is not essential). Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €61.100—€96.600 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Senior Software Engineer - Docs Engineering - Documentation at Elastic", "postedDate" : "2026-06-15T23:23:10.136", "createdAt" : "2026-06-15T23:23:10.136", "lastUpdated" : "2026-06-16T08:56:28.209", "ingestTimestamp" : "2026-06-15T23:23:10.136", "mongoId" : "6a305a6af292fd229cf505b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95ab74d8ee00a098dac0", "title" : "Manager Engineering Software", "company" : "Fanatics Betting & Gaming", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager Engineering Software in Dublin, Ireland, adjusted for industry and company size." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland", "United Kingdom" ], "timestamp" : "2026-06-16T06:13:21.133", "fingerprint" : "cee4287dc4e0aede4c5be073c02df035429daa1fa790feaa0a5dcff583b1a1a8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4214342009", "externalId" : "4214342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "state" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3437061,-6.2544278" } ], "locationText" : "Dublin, Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "NET, C#, AWS, Azure, GCP", "professionalSkills" : [ "Engineering leadership", "System design", "Product strategy" ], "hardSkillsList" : [ "Software development", "Cloud-native systems", "Agile", "Scrum" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud-native systems", "level" : "intermediate" }, { "name" : "Agile", "level" : "intermediate" }, { "name" : "Scrum", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Engineering leadership, Software development, Cloud-native systems", "majorSkillsList" : [ "Engineering leadership", "Software development", "Cloud-native systems" ], "coreResponsibilities" : "Lead team in exploring new technologies, Cultivate culture of innovation, Collaborate with Product Management, Collaborate with Quants, Collaborate with engineering leaders, Use data to guide decisions, Champion metrics-driven culture, Invest in team growth, Offer mentorship, Support career development, Oversee development of systems, Reduce technical debt, Improve system performance, Build cross-functional partnerships, Influence product strategy, Influence technical direction, Communicate technical ideas, Communicate business updates, Stay on top of trends, Bring fresh ideas", "teamCollaboration" : "Cross-functional partnerships; Product Management; Quants; Engineering leaders", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Trading domain; Risk management; Real-time systems; Sports betting", "domainList" : [ "trading-domain", "risk-management", "real-time-systems", "sports-betting" ], "domainSpecificKnowledge" : [ "Trading domain", "Risk management", "Real-time systems", "Sports betting" ], "communicationSkills" : "Communicate complex ideas; Communicate business updates", "continuousLearning" : "Learning opportunities; Personal development", "innovationCreativity" : "Innovation; Experimentation", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "Occasional travel, In-person components", "outcomesObjectives" : "Deliver exceptional fan experience; Develop cohesive solutions; Ensure platform is at forefront; Drive innovation in fan engagement", "qualificationsBasic" : "2+ years engineering leadership, 7+ years software development, 3+ years cloud-native systems, Degree in Computer Science or equivalent experience, Experience leading distributed teams", "qualificationsPreferred" : "Experience with .NET/C#, Experience with AWS, Azure, or GCP, Experience working cross-functionally, Start-up or high-growth environment experience, Passion for sports industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. At Fanatics Betting & Gaming (FBG), a core division of Fanatics' mission to establish the ultimate end-to-end digital sports platform, we're crafting a world where every aspect of a sports fan's passion is catered to. As a Manager, Engineering Software with Trading Engineering, you'll be thrust into the innovative heart of our risk and trading domain, where the technical challenges are as diverse as they are complex. Experience great learning opportunities where you'll engage with cutting-edge technologies and methodologies to build and enhance real-time systems that not only support FBG's operations but are integral to Fanatics' broader goal of revolutionizing sports fan engagement, in an environment that fosters innovation and personal development. In this dynamic and supportive environment, your work will directly impact the development of sophisticated systems, driving innovation in how sports fans engage with the Fanatics ecosystem and deliver FBG product. You'll tackle unique technical challenges within our real-time decision-making systems, ensuring our platform remains at the forefront of the industry. Here, your professional growth is as vital as our platform's evolution, ensuring you develop alongside our mission to revolutionize the sports experience for fans worldwide. Responsibilities Lead your team in exploring and applying new technologies and practices, cultivating a culture of innovation and experimentation to deliver an exceptional fan experience. Collaborate closely with Product Management, Quants, and other engineering leaders to develop cohesive, user-first solutions aligned with Fanatics' strategic objectives. Use data and metrics to guide your team’s decision-making and ensure alignment with organizational goals. Champion a metrics-driven culture focused on measurable impact and continuous improvement. Invest in the growth and success of your team—offer mentorship, support career development, and help shape the next generation of leaders. Oversee the development of scalable, reliable systems while actively reducing technical debt and improving system performance. Build strong cross-functional partnerships to influence product strategy and technical direction at scale. Communicate complex technical ideas and business updates with clarity and confidence to stakeholders and executives. Stay on top of industry trends and best practices—bring fresh ideas that help elevate team performance and drive results. Be open to occasional travel for offsites, events, or key collaboration sessions. (We’re happy to accommodate travel needs or restrictions.) Experience and Skills 2+ years of experience in engineering leadership, with a strong ability to mentor, grow talent, and inspire technical excellence. 7+ years of experience in software development, particularly with .NET/C# or similar technologies. 3+ years of experience designing cloud-native systems (AWS, Azure, or GCP). Deep understanding of Agile and Scrum, with the agility to adapt in a fast-evolving environment. A history of successfully delivering complex, scalable solutions with a focus on customer experience. Positive, flexible mindset with a readiness to take on new challenges. Strong results orientation, backed by data and outcomes. Excellent communication, influencing, and problem-solving abilities. Degree in Computer Science or similar (or equivalent experience). Experience leading distributed or remote teams. Passion for sports and/or the sports betting industry. Experience working cross-functionally with Product, Data, and Design teams. Start-up or high-growth environment experience, with a bias toward rapid learning and iteration. Strong team collaboration mindset and passion for working in a supportive, fast-paced environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in Ireland or UK, but we strongly encourage those who can join us on campus two days per week. For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Manager Engineering Software at Fanatics Betting & Gaming. Skills: Engineering leadership, Software development, Cloud-native systems. 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Join us as an IT Support Apprentice and help power the information and communication technology that drives Amazon’s operations. As an IT Support Apprentice, you’ll work with innovative technology to ensure our business runs efficiently by executing technical procedures and providing high-quality first and second-line support. You’ll resolve hardware, operating system, and software issues while supporting the IT and telecommunications infrastructure that keeps our fulfilment network connected. You’ll be based in one of our UK Fulfilment Centres, where millions of products are processed and shipped to customers worldwide. These are fast-paced, highly energised environments - perfect for those who thrive on learning, problem-solving, and making a real impact. Working alongside experienced IT professionals, you’ll gain practical experience across a range of systems while building your technical knowledge through the Level 3 Information Communications Technician Apprenticeship. What You’ll Do - Provide first and second-line technical support to internal users - Install, configure, and maintain IT hardware and software - Use diagnostic tools to troubleshoot and resolve network or system issues - Monitor performance, apply security updates, and manage IT assets - Collaborate with teams across the site to deliver high-quality IT service - Contribute to improvement and automation projects that enhance efficiency You’ll develop core skills in service management, networking, cloud services, operating systems, and cybersecurity, building a strong understanding of the technologies that underpin modern information systems. Who We’re Looking For We welcome individuals from all backgrounds who are curious about technology and enjoy solving problems. You’ll succeed in this role if you: - Have strong analytical and problem-solving skills - Communicate clearly and enjoy helping others - Are proactive, organised, and attentive to detail - Can thrive in a fast-paced environment and adapt to new challenges - No previous IT experience is required - just enthusiasm, a growth mindset, and a willingness to learn Your Development At Amazon, it’s in our nature to learn and be curious. You’ll learn by doing, supported by world-class coaching, mentoring, and structured training. This 18-month programme combines on-the-job experience with formal learning, giving you the opportunity to earn a recognised qualification while developing practical technical skills. You’ll spend 80% of your time working alongside IT professionals and 20% in structured learning, supported by your training provider and manager. As part of your off-the-job learning, you may occasionally travel to a training centre, depending on your provider’s location. Key job responsibilities Technical Support and Troubleshooting - Respond to and resolve IT issues promptly, maintaining high service standards. - Apply systematic diagnostic techniques to identify and fix technical faults. - Escalate complex issues appropriately while maintaining ownership and communication. Maintenance and Configuration - Install and configure computers, networks, and applications. - Manage end-user devices using automated deployment and management tools. - Perform proactive maintenance to ensure system stability and minimise downtime. Security and Compliance - Monitor system performance and apply security measures to protect against cyber threats. - Follow IT policies and data protection protocols to maintain compliance and safety. Collaboration and Communication - Communicate clearly and effectively with technical and non-technical users. - Participate in team meetings and project reviews to share knowledge and updates. Continuous Improvement - Support the implementation of new technologies and site upgrades. - Identify opportunities to simplify processes and improve efficiency. - Keep your technical knowledge up to date through continuous learning. A day in the life - Interpreting and prioritising internal or external customer requirements, providing remote or in-person support to resolve their issues issues related to IT infrastructure, end-user devices and applications - Maintaining end user devices and assets using automated procedures and workflows to install, configure, and decommission as required. - Applying appropriate tools and techniques to diagnose and rectify faults, maintaining detailed documentation and escalating complex problems as needed - Installing and configuring computer systems, performing software upgrades, and maintaining network environments - Providing proactive maintenance to maximise the availability of all IT equipment - Monitoring system performance and usage, applying necessary security measures to protect against cyber threats - Establishing and deploying digital communication or telecommunications systems, using diagnostic equipment and tools as required - Communicating effectively with stakeholders at all levels, keeping them informed of progress and managing escalations - Implementing projects and delivering innovations together with other IT colleagues - Maintaining a safe and secure working environment, adhering to health and safety protocols - Continuously developing your professional skills and knowledge to stay abreast of industry trends and technological advancements Basic Qualifications: - To qualify for this programme, you must: - Be 18 years or over before the start date (August 2026) - Have the right to live and work in England (if you are on a visa, this needs to enable you to legally work and reside in England for the entire duration of the programme until February 2028). - Have lived in the UK or in the European Economic Area (EEA) for the last 3 years - Be a resident of the UK for the entire duration of the programme - Not be registered to study on a UK government funded course ending July 2026 or later - A minimum of 3 GCSEs (or equivalent) at grades 4 or above (A-C) in any subject - GCSE English and Maths (or equivalent qualifications) at grades 3 or above (D or above) - Please note, if you have received educational qualifications outside of the UK then we will require a Statement of Comparability to confirm your eligibility for the scheme. Please ensure you obtain one during the application process, through UK ENIC: https://www.enic.org.uk/ - Previous qualifications will be reviewed for funding eligibility and offers are subject to funding approval - PLEASE NOTE: This position is an 18- month fixed-term contract. You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship - This Apprenticeship assumes the candidate has little or no knowledge/experience of the occupation and is NOT suitable for candidates who already have a similar or higher-level qualification in the same or similar subject of the apprenticeship. Preferred Qualifications: - These will be a plus for your career at Amazon, but are not necessary to enter the programme: - You can operate in a fast-paced operational environment - You can demonstrate drive and a passion for learning Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "IT Support Apprenticeship at Amazon UK Services Ltd.", "postedDate" : "2026-06-14T20:05:25.602", "createdAt" : "2026-06-14T20:05:25.602", "lastUpdated" : "2026-06-15T21:27:20.322", "ingestTimestamp" : "2026-06-14T20:05:25.602", "mongoId" : "69cf3f062beec4dd3d93411d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382056/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c615374d8ee00a08f45e7", "title" : "Apprenticeship Program", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level apprenticeships in the United States, adjusted for the Freeport, Illinois location and full-time employment." }, "location" : "Freeport, PA", "locations" : [ "Freeport, PA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:00:52.972", "fingerprint" : "781e42c7af60bde0dc3b5bf8b65ebc82117546cec10af4221be5df8f2e9d4730", "source" : "jazzhr", "language" : "en", "externalId" : "GXJOyHJqKj", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Freeport", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6739543,-79.6847703" } ], "locationText" : "Freeport, Pennsylvania, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Data engineering", "ML/AI", "Data science" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks", "domainList" : [ "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "SQL proficiency, Years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Apprenticeship Program. 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Windsor, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, AWS", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Web systems", "Distributed systems" ], "softSkillsList" : [ "High agency", "Low ego", "Customer obsessed" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Web systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High agency" }, { "name" : "Low ego" }, { "name" : "Customer obsessed" } ], "majorSkills" : "Software development, Factory automation", "majorSkillsList" : [ "Software development", "Factory automation" ], "coreResponsibilities" : "Design features, Build features, Test features, Ship features, Write code, Deploy code, Control metal cutting, Track metal delivery, Debug production systems, Profile production systems, Harden production systems, Take big problems, Own problems end to end", "teamCollaboration" : "Sit next to engineers; Sit next to operators", "projectManagementSkills" : [ "Own projects" ], "domainKnowledge" : "Supply chain; Manufacturing automation", "domainList" : [ "supply-chain", "manufacturing-automation" ], "domainSpecificKnowledge" : [ "Supply chain", "Manufacturing automation" ], "toolProficiency" : [ "Git", "AI tools" ], "innovationCreativity" : "Hunt for faster ways", "problemSolvingSkills" : "Debug production systems; Profile production systems; Harden production systems", "specialRequirements" : "Work outside normal hours", "outcomesObjectives" : "Ship code to production; Control how metal gets cut", "qualificationsBasic" : "Pursuing degree in CS or related, Knowledge of data structures, Knowledge of algorithms, Proficient in one language, Comfortable with Git, Understand web systems, Understand distributed systems, Fast, organized, high agency, Cracked with AI tools, Low ego, Customer obsessed, Willing to work outside normal hours", "qualificationsPreferred" : "Experience with Python, Experience with TypeScript, Experience with React, Experience with Next.js, Experience with Node.js, Experience with FastAPI, Experience with PostgreSQL, Experience with Docker, Experience with AWS", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript, Go, C++, whatever you reach for) - Comfortable with Git and the basics of how web and distributed systems work - Fast, organized, and high agency, able to take a big item and run it down alone while asking for help when you need it - Cracked with AI tools and always hunting for a faster way to do the work - Low ego, customer obsessed, and never the person who says \"that's not my job\" - Willing to work outside normal hours when the floor needs it Our stack: Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, and AWS. You will not know all of it. We will teach you what you do not. This role is full time, in person in Detroit. We are open to in person Windsor or Remote.", "summaryDescription" : "Software Engineering Intern at Nox Metals. Skills: Software development, Factory automation. Design features. 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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

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While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 1117 Trinity St, Austin, TX, in the Office of Apprenticeship department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A workforce development professional yearning to work with the apprenticeship training model. The desired candidate has experience in a major workforce development program, such as, Workforce Innovation Opportunity Act (WIOA), Temporary Assistance to Needy Families (TANF), or maybe has worked with Local Workforce Development Board. You are a self-starting, motivated, collaborative problem solver who understands labor market information and the value of data analysis needed to meet performance goals. WHAT YOU WILL DO: The Apprenticeship Program Specialist (Program Specialist V) performs advanced (senior-level) consultative services and technical assistance work. Works under limited supervision, with considerable latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Perform as a point of contact in TWC for Registered Apprenticeship (RA) programs. -Coordinates with other TWC programs to support RA such as: Adult Education and Literacy, Workforce Innovation and Opportunity Act, Vocational Rehabilitation, etc. -Provides information on RA programs to oversight bodies such as the Department of Labor - Office of Apprenticeship, Texas Workforce Investment Council and Apprentice Training Advisor Committee. Additionally, this work will include working with other agencies such as Texas Education Agency, Texas Department of Corrections and Texas Higher Education Coordinating Board. -Direct and evaluate program area(s) and activities for the TWC Office of Apprenticeship and its customer base including RA programs, employers, community colleges, technical schools, public high schools, middle and Local Workforce Development Boards (Boards). .-Review and evaluate information on service delivery system methods, outputs, activities, and trends to identify gaps in resources and recommends and implements improvements to resolve technical problems. This involves providing technical assistance to various workforce development partners, such as DOL Registered Apprenticeship programs in Texas, employers, community/technical colleges, technical schools, public high schools, and Local Workforce Development Boards. -Determine need for and develop technical assistance to: RA programs, employers, sponsors, Boards, local education agencies, other support programs, etc. -Responds to requests for information on RA from interested parties. -Represent the TWC Office of Apprenticeship at industry round-tables, business meetings, conferences, and seminars. Promote Registered Apprenticeship to community and professional groups to encourage and/or expand interest and support for the use and development Registered Apprenticeship as a customizable training model. -Collect, organize, analyze, and/or prepare materials in response to requests for program information and reports. -Assists in the preparation of administrative/quarterly reports, studies and specialized research projects. -Perform other duties as assigned. YOU QUALIFY WITH: -Two years and six months of full-time experience in the development, implementation, or interpretation of policies and procedures in a public or private agency. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: If you qualify for the position and have the added experience of workforce development experience that includes the apprenticeship training model experience. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $5,566.05 - $5,844.35/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Duty involves up to 50% travel within the state of Texas. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Apprenticeship Program Specialist at Texas Workforce Commission. Skills: Apprenticeship programs, Workforce development, Program management. Serve as point of contact for Registered Apprenticeship. 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Every play, every deal, every creator, every frame of video flows through systems CPE owns, and the surface area is enormous. Distributed services running on the hottest path of Tubi's traffic. Video pipelines processing one of the largest workloads in streaming. Workflow engines automating the operations that used to consume entire teams. Creator-facing products turning a back-office process into a real platform. And on top of all of it, an AI-native rebuild of the CMS that most companies aren't willing to attempt. This isn't a single-domain role. It's a platform where backend, frontend, video, infrastructure, and applied AI all collide at the scale where decisions actually matter, where an architectural choice ripples across millions of titles and billions of requests, and where the difference between \"good enough\" and \"great\" shows up in revenue. We're looking for builders who want to range across domains — backend one quarter, frontend the next, applied AI the one after that — and who want their work to be felt: by viewers when a title plays instantly, by creators when they go live the same day, by Content Ops when a workflow runs itself, and by the business when the platform stops being a cost center and starts being a force multiplier. The infrastructure is already there. The mandate is already there. What's missing is the people who want to build the thing, not talk about it. Come build it. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: You'll work on systems that sit at the heart of Tubi's business, where the content pipeline meets the viewer, the creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all running at the scale of one of streaming's largest free platforms. You'll partner with the Video Team, Content Operations, Business Affairs, Ad Tech, and external creators and studios to build the systems that move Tubi forward: Power seamless content ingestion from partners and creators, turning a sprawling, manual onboarding flow into a self-serve experience that scales with the catalog. Run one of streaming's largest video processing workloads, transforming raw partner files into the optimized formats that play on every Tubi-supported device. Automate the content lifecycle end to end across deal intake, avail creation, metadata review, QC, policy setup, and expiry, replacing manual click-through work with intelligent workflows. Build the content data model and the high-throughput, low-latency services that sit on the hottest path of Tubi's stack, where every play button request lands. Push the boundary of AI-native operations, designing pipelines and APIs where AI agents are first-class operators of the platform, not bolt-on features, and where content intelligence feeds directly into brand-safety, contextual ads, and portfolio decisions. Drive down the cost of streaming at scale, from cloud infrastructure to AI processing, through architectural decisions that compound across millions of titles and billions of requests. Craft production-grade frontends for creators, partners, and Content Ops, where every interaction either earns Tubi a new title or moves an existing one closer to viewers. The UI is not a wrapper around APIs; it's the surface where humans and AI agents collaborate on running the platform. Key Responsibilities: Develop and enhance distributed systems for high availability, scalability, and operability. Design content data models and gRPC APIs that serve UIs, AI agents, and downstream services as first-class clients. Integrate LLMs and ML pipelines into content workflows (metadata enrichment, image/video understanding, policy reasoning). Partner with the Video Team to optimize transcoding efficiency and quality. Partner with Content Operations to automate workflows currently driven manually through the UI. Partner with Ad Tech to turn content intelligence into monetization signals. Operate availability integrations that determine which titles play where, when, and on which platforms. Reduce cloud infrastructure and AI processing costs through architectural and operational improvements. Your Background: 5+ years of experience building production systems, with depth in either backend distributed systems (Elixir, Erlang, Go, Scala, Python, Ruby) or modern frontend (TypeScript, React), and comfort working across the stack. Experience with background job processing frameworks (e.g., Sidekiq, Celery, Oban). Familiarity with gRPC/Protocol Buffers and Kubernetes. Strong understanding of distributed systems, databases, and caching technologies. Bachelor’s or Master’s degree in Computer Science or related field, with 5+ years of industry experience (exceptions made for exceptional candidates). #LI-BT1 #LI-Hybrid Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents. Toronto, Canada $137,200—$196,000 CAD Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters. For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. About Tubi: Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. 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Com 30 anos de experiência em transformação tecnológica, aceleramos inovação com expertise em agentic SDLC, application modernization, Data & AI, martech e business strategy. Somos 8.000 CI&Ters em mais de 25 países, colaborando para construir soluções com impacto real. AI já faz parte da forma como trabalhamos, evoluímos e inovamos todos os dias. Importante: se você reside na Região Metropolitana de Campinas, sua presença nos escritórios da cidade será obrigatória, conforme a política de frequencia vigente. ## Additional Information Nossos benefícios: - Plano de saúde e odontológico; - Vale alimentação e refeição; - Auxílio-creche; - Licença parental estendida; - Parceria com academias e profissionais de saúde e bem-estar via Wellhub (Gympass) TotalPass; - Participação nos Lucros e Resultados (PLR); - Seguro de Vida; - Plataforma de aprendizagem contínua (CI&T University); - Clube de descontos; - Plataforma online gratuita dedicada à promoção da saúde física, mental e bem-estar; - Curso gestante e parentalidade responsável; - Parceria com plataformas de cursos online; - Plataforma para aprendizagem de idiomas; - E muitos outros Mais detalhes sobre os nossos benefícios aqui: https://ciandt.com/br/pt-br/carreiras Na CI&T, a inclusão começa no primeiro contato. Se você é pessoa com deficiência, é importante apresentar o seu laudo durante o processo seletivo. Consulte quais dados são necessários conter no laudo clicando aqui. Assim, podemos garantir o suporte e as adaptações que você merece. Se ainda não tem o laudo caracterizador, não se preocupe: podemos te apoiar para obtê-lo. Temos um time dedicado de Saúde e Bem-estar, especialistas em inclusão e grupos de afinidade que estarão com você em todas as etapas. Conte com a gente para fazer essa jornada lado a lado.", "summaryDescription" : "Mid/Senior Data Developer at CI&T. 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Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. Software Engineering Manager (30-50% hands-on) The Manager of Software Engineering leads a team of talented software engineers and architects, designing and developing SaaS based software products. Adhering to our agile scrum methodology, he/she plans sprints, tracks development timelines, and negotiates feature sets with the product teams. The ideal candidate must have hands-on technical and management experience. Excellent project management, organizational, and communication skills are needed to succeed in this fast-paced environment. Relies on experience and judgment to plan and accomplish goals. Leads and directs the work of individual contributors; responsible for managing people and projects. A wide degree of creativity and latitude is expected. Reports to the Executive Director of Engineering in the Burlington, MA office. Responsibilities include, but are not limited to: • Manage the day-to-day development activities of the engineering team within an Agile/Scrum environment • Build and nurture a cohesive and powerful team of top notch software developers • Lead the integration of Quality Engineering directly into the product development process • Collaborate with Product Management and Engineering leadership to ensure clearly defined user stories, product definition and acceptance criteria • Drive improvement in velocity to accelerate time to market for our new products and enhancements • Work closely with the engineers to architect and develop the best technical design and approach for the software products • Create schedule estimates and resource plans, assess and communicate risks based on complexity, resource and timeline constraints • Balance New project initiatives in parallel to supporting on-going Projects. • Quality, customer focused execution and turn around in development mindset is key Key Requirements: • Technical leader with extensive experience in complex SaaS product environments • Technical background in Java, scalable webapp, middle layer & relational datastores • Tech stack background: Java, spring boot, spring framework, Python, PostgreSQL, Messaging queues • 4-6 years of direct people management experience • Experience managing remote and offshore development teams • Organized and self-directed leader who can work well independently • Excellent communication skills and ability to work well with QA, Product Management and Development Managers as well as teams across the organization • 7-10 years as a software developer with significant technical contributions • Proven ability to build relationships, collaborate with and influence cross-functional teams across product line boundaries • Proven track record in implementing agile methodologies and delivering shipping product • Calm, steady demeanor during stressful and complex situations • Working experience utilizing Continuous Integration/Deployment concepts and streamlined delivery of code • Excellent written and verbal communication, problem solving, interpersonal, and time management skills, proven ability to delegate tasks to smaller teams to get results Pay Range $166,000—$210,000 USD Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.", "summaryDescription" : "Manager, Software Engineering at Black Duck Software, Inc.. Skills: SaaS product development, People management, Agile methodologies. Manage development activities. 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Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "teamCollaboration" : "Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. Pair with the operations team to understand the problem before writing the code.", "toolProficiency" : [ "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "communicationSkills" : "Written communicator", "documentationSkills" : "Design docs; PR descriptions", "continuousLearning" : "We have beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.", "problemSolvingSkills" : "System design", "specialRequirements" : "Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions.", "outcomesObjectives" : "We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.", "qualificationsBasic" : "Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. Comfortable working in someone else's codebase.", "qualificationsPreferred" : "Prior co-op or internship experience shipping production software. Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. Side projects or open-source contributions that demonstrate independent technical curiosity.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. ABOUT THE ROLE We are hiring a Software Engineering Intern to join the Beacon HQ engineering team for the Fall 2026 co-op term. You will work directly with our senior engineers on the platforms that power how we operate the portfolio: data ingestion across 25+ portcos, internal tools used by our operating team every day, and AI-powered workflows that we are embedding into both Beacon HQ and the portfolio products themselves. This is not a fetch-coffee internship. We are a small team and interns ship real code into production. Past interns have owned services end-to-end, written features that the entire operating team now depends on, and built tooling that meaningfully changed how a specific portco runs. The bar is high. The autonomy is real. WHAT YOU'LL DO - Ship production code into Beacon's internal platform. You will own a meaningful piece of work end-to-end, from design through deployment. - Build integrations between portco source systems (QuickBooks, HubSpot, Salesforce, Stripe, Postgres, and similar) and our central data platform. - Prototype and ship LLM-powered internal tools that our operating team uses to manage the portfolio. - Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. - Pair with the operations team to understand the problem before writing the code. Engineering at Beacon is operator-facing, and you will learn how to ship software that someone actually uses. WHO YOU ARE - Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. - Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. You do not need to know all three, but you should be able to pick up a new language quickly. - Comfortable working in someone else's codebase. You can read code as well as you write it. - Curious about data systems, APIs, and the practical mechanics of LLM-driven applications. Prior exposure is a plus but not required. - Strong written communicator. Beacon runs on writing, and interns are expected to write design docs, PR descriptions, and updates that hold up to senior review. - Operator instincts. You take the time to understand the problem before reaching for a solution. BONUS POINTS - Prior co-op or internship experience shipping production software. - Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). - Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. - Side projects or open-source contributions that demonstrate independent technical curiosity. WHAT WE OFFER - Direct mentorship from senior engineers and the Beacon CTO. - Real ownership. You will ship code that the operating team depends on, not throwaway prototypes. - Exposure to a unique operational problem: building software that scales across a portfolio of very different businesses. - Competitive co-op compensation. - Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions. Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Software Engineering Intern at Beacon Software. Skills: TypeScript, Python, Go, LLM-powered internal tools, System design. Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "createdAt" : "2026-06-14T21:41:58.331", "lastUpdated" : "2026-06-15T11:26:14.416", "ingestTimestamp" : "2026-06-14T21:41:58.331", "mongoId" : "6a2cb01a74d8ee00a09d8d0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "TypeScript", "Python", "Go", "Curious", "TypeScript, Python, Go, LLM-powered internal tools, System design", "Curious about data systems, APIs, and the practical mechanics of LLM-driven applications.", "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d90f774d8ee00a0c38029", "title" : "Senior / Staff Software Engineer, Agentic Engineering", "company" : "Abridge", "industry" : "Builder", "salary" : { "min" : 230000.0, "max" : 290000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "SF Office", "locations" : [ "SF Office" ], "timestamp" : "2026-06-16T02:25:46.604", "fingerprint" : "fe9a851c0fc6aa9b5634a6facb4750d3284d61d8374b776f807ebfb6d0d7a258", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Abridge/5413b10b-532f-46a7-b1f3-d5490d78120e/application", "externalId" : "5413b10b-532f-46a7-b1f3-d5490d78120e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge's platform is scaling fast alongside our expanding customer base and product growth. We're building a new agentic engineering team — one of our top company priorities — reporting directly to our CTO. We're looking for Engineers to help build the agentic infrastructure every engineer at Abridge relies on. You'll work at the intersection of AI tooling, CI/CD and developer experience — building the internal systems and agents that power how we develop and ship software. As an early member of this team, you'll tackle high-impact, high-ambiguity problems spanning CI/CD pipelines, MCP servers, and AI agents. Your work will directly shape how engineers build and deploy across Abridge. This is a rapidly-evolving role that sits at the intersection of AI, developer experience, platform engineering, and healthcare. This is a hybrid role with a minimum of 3 days / week (MWF) in our San Francisco office. Please only apply if you are able to commit to this model and/or willing to relocate to San Francisco. WHAT YOU’LL DO - Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering. Drive measurable improvements in build/test times, deployment frequency, and onboarding experience. - Design and implement agentic workflows: Build MCP servers, autonomous agents, and AI-assisted tooling that embed AI deeply into the development lifecycle. Help teams integrate these tools effectively into their day-to-day work. - Own the developer experience: Improve the end-to-end developer journey — from local development and testing to deployment and observability. Identify and eliminate friction, treating internal engineers as your customers. - Drive technical excellence: Bring strong systems thinking to architecture and tooling decisions that improve developer ergonomics, feedback loops, and development velocity. - Evaluate and adopt AI tooling: Stay current on AI-powered development tools and guide adoption across the engineering org to deliver measurable productivity gains. WHAT YOU’LL BRING - Strong experience building and evolving CI/CD systems and build tooling (e.g., Bazel, Buck, GitHub Actions, Buildkite, CircleCI). - Hands-on experience with agentic frameworks, MCP servers, LLM tooling, or AI-assisted development workflows. - Experience improving developer experience across local development, CI/CD pipelines, internal tooling, and developer workflows. - Familiarity with production systems in public cloud environments (AWS, GCP, or similar). - Experience with containerized environments, Kubernetes, and modern infrastructure tooling (e.g., ArgoCD, Istio, Atmos). - Strong track record of leveraging AI tools and workflows to materially improve engineering velocity and operational efficiency. - Strong communication skills and ability to collaborate across teams and functions. - Genuine passion for Abridge's mission to improve healthcare in America and across the world. BONUS POINTS IF... - You've built or contributed to an internal developer platform (IDP) at scale. - You have experience with multi-agent orchestration (LangGraph, LangChain, or similar). - You've worked in regulated industries or healthcare environments. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying, interviewing, completing any assessment or otherwise participating in the employee selection process, please contact us at accommodations@abridge.com STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions. ", "summaryDescription" : "Senior / Staff Software Engineer, Agentic Engineering at Abridge", "createdAt" : "2026-06-14T18:57:54.609", "lastUpdated" : "2026-06-16T02:25:46.604", "ingestTimestamp" : "2026-06-14T18:57:54.609", "mongoId" : "6a2d90f774d8ee00a0c38029", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 290000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad6ca", "title" : "Software Engineering Manager", "company" : "Hasbro", "industry" : "Technology", "salary" : { "min" : 131100.0, "max" : 196600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:30:13.089", "fingerprint" : "b9ba3c05b7137be5c4439ab7329778e9a7fdeb5c9f335bf6955e0767807efaa4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249878009", "externalId" : "4249878009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Node.js, Python, AWS, Lambda, API Gateway, RDS, S3, ECS, LLM, REST APIs, CI/CD, Observability, OpenAI, Google Gemini, Anthropic, ElevenLabs, AssemblyAI, LiveKit, WebRTC, WebSockets", "professionalSkills" : [ "System architecture", "Team building", "Technical strategy", "Delivery practices", "Team structure" ], "hardSkillsList" : [ "Software engineering", "API development", "Cloud computing", "LLM integration", "CI/CD implementation", "Observability setup", "Voice services integration", "Real-time infrastructure" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "LLM integration", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Observability setup", "level" : "intermediate" }, { "name" : "Voice services integration", "level" : "intermediate" }, { "name" : "Real-time infrastructure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Software Engineering Management, AI Platform Development, LLM Integration", "majorSkillsList" : [ "Software Engineering Management", "AI Platform Development", "LLM Integration" ], "coreResponsibilities" : "Architect systems, Write code, Review code, Establish engineering foundations, Drive continuity, Recruit engineers, Build engineering team, Shape technical roadmap, Partner across product, Define future features, Architect AI platform features, Ship AI platform features, Integrate LLM services, Build REST APIs, Build configuration tooling, Establish CI/CD pipelines, Establish code review standards, Establish observability practices, Establish on-call runbooks, Establish deployment processes, Integrate with LLM providers, Integrate with voice services, Integrate with real-time infrastructure, Recruit engineers, Onboard engineers, Build engineering team, Shape technical strategy, Make build-versus-partner decisions, Represent engineering direction, Measure outcomes, Identify gaps, Improve delivery practices, Improve team structure", "teamCollaboration" : "Senior engineers; Creative partners; Brand leaders; Product leadership; Business stakeholders; Creative stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI Studio; Character platforms; LLM service integration; Live character interactions; Cloud-native architecture", "domainList" : [ "ai-studio", "character-platforms", "llm-service-integration", "live-character-interactions", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI Studio", "Character platforms", "LLM service integration", "Live character interactions", "Cloud-native architecture" ], "toolProficiency" : [ "Datadog" ], "communicationSkills" : "Represent engineering decisions", "innovationCreativity" : "Push boundaries; Innovate", "problemSolvingSkills" : "Turn ambiguity into technology; Ask good questions", "outcomesObjectives" : "Deliver visible work; Deliver impactful work; Build scalable technology; Build sustaining organization; Grow the team", "qualificationsBasic" : "3+ years software engineering, 1-2 years tech lead, 1-2 years engineering management, Production AWS experience, Node.js experience, Python experience, Integrate LLM APIs, Build and operate REST APIs", "qualificationsPreferred" : "Experience with real-time communication systems", "remoteFriendly" : true, "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. We're building something new inside our AI Studio, and we're looking for a Software Engineering Manager to help shape it with us. This role sits at the center of a new and constantly evolving business area. The problems are still taking shape, and the systems are actively being built. What excites us is the opportunity to push the boundaries of what stories and characters can be and to use technology to bring iconic IP to life in ways never before imagined. We work where storytelling, imagination, and technology converge. Our focus is on defining and building the core systems that transform characters and worlds from something audiences watch into something they can interact with and engage over time. This role helps build both a new technical foundation and a new team. Working closely with a small group of senior engineers, creative partners, and brand leaders, this Software Engineering Manager will deliver work that is visible, impactful, and foundational to how we bring characters to life. Success here means turning ambiguity into reliable, scalable technology-and building the organization that can sustain and grow it. This is an explicitly hands-on role, especially early on, where getting into the platform and shipping code is as important as growing the team around it. What You'll Do In this role, the work is both technical and organizational. Near-term, that means contributing directly: architecting systems, writing/reviewing code, establishing practices that hold as the team scales, and driving continuity. Longer-term, it means building and managing the team itself: recruiting, shaping the technical roadmap, and partnering across product, creative, and business to define what comes next. You will: Architect, build, and ship features for our AI-powered character platform - including LLM service integrations, REST APIs, and the tooling that lets internal and external partners configure and deliver character experiences. Establish engineering foundations: CI/CD pipelines, code review standards, observability practices, on-call runbooks, and deployment processes that can hold as the team scales. Integrate with LLM providers (OpenAI, Google Gemini), voice services (ElevenLabs for TTS, AssemblyAI for STT), and real-time delivery infrastructure (LiveKit) to power live character interactions. Recruit, onboard, and build a team of engineers organized around dedicated product areas as the portfolio expands. Partner with the Principal AI Engineer and product leadership to shape technical strategy, make build-versus-partner decisions, and represent engineering direction across business and creative stakeholders. Measure outcomes, identify gaps, and continuously improve both delivery practices and team structure based on what you learn. What You Will Bring 3+ years of hands-on software engineering experience shipping production web applications, with 1-2+ years in a tech lead or engineering management role. Production experience on AWS (Lambda, API Gateway, RDS, S3, and ECS) and proficiency in Node.js and/or Python. Direct experience integrating LLM APIs (OpenAI, Gemini, Anthropic, etc.) in a production context. Understanding how these systems behave at scale is essential, not a bonus. A track record of building and operating REST APIs consumed by external teams or partners, with attention to versioning, access control, and reliability. Experience establishing or improving CI/CD pipelines, deployment practices, and observability tooling (Datadog or equivalent) in a cloud environment. Strong communication skills - the ability to represent engineering decisions clearly for product, business, and creative stakeholders who may not share the same technical context. Comfort leading in spaces where the structure is still forming, priorities shift quickly, and the right answer requires asking good questions. Experience managing and mentoring engineers through growth or transition, with genuine interest in developing people alongside the product. Extra Credit Experience with real-time communication systems (WebRTC, WebSockets, etc.). Familiarity with voice AI services, including text-to-speech (TTS) and/or speech-to-text (STT). Exposure to prompt engineering, RAG architectures, or evaluation frameworks for LLM-powered systems. Background in entertainment, gaming, consumer products, or IP-driven development. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $131,100—$196,600 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Software Engineering Manager at Hasbro. Skills: Software Engineering Management, AI Platform Development, LLM Integration. Architect systems. Write code", "postedDate" : "2026-06-14T03:36:20.685", "createdAt" : "2026-06-14T03:36:20.685", "lastUpdated" : "2026-06-15T07:30:13.089", "ingestTimestamp" : "2026-06-14T03:36:20.685", "mongoId" : "6a2ca3ba74d8ee00a09ad6ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 131100, "salaryAnnualMax" : 196600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software engineering", "API development", "Cloud computing", "LLM integration", "CI/CD implementation", "Observability setup", "Voice services integration", "Real-time infrastructure", "Leadership", "Mentoring", "Critical thinking", "Software Engineering Management", "AI Platform Development", "LLM Integration", "System architecture", "Team building", "Technical strategy", "Delivery practices", "Team structure", "Roadmap planning", "AI Studio", "Character platforms", "LLM service integration", "Live character interactions", "Cloud-native architecture", "Datadog" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cafe574d8ee00a09d8273", "title" : "Internship - Software Engineering", "company" : "Humanoid", "industry" : "Engineering", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for entry-level Software Engineering Internships in London, UK, adjusted for the technology industry and company size." }, "location" : "UK, London", "locations" : [ "UK, London" ], "timestamp" : "2026-06-15T04:52:54.967", "fingerprint" : "18e4a7a4f1c6bc519e30ddd5a017a2ccef3b0a54fbeb42868e90f07842cdef54", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/humanoid/66fba609-368f-42d4-8e36-09f05a33b1d7/application", "externalId" : "66fba609-368f-42d4-8e36-09f05a33b1d7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, JavaScript, APIs, Backend systems, Web development, Linux, Git", "professionalSkills" : [ "System design", "Data workflows", "Product development" ], "hardSkillsList" : [ "Software engineering", "Robotics", "System integrations", "Automation" ], "softSkillsList" : [ "Ownership mindset", "Collaborative approach" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Robotics", "level" : "intermediate" }, { "name" : "System integrations", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" }, { "name" : "Collaborative approach" } ], "majorSkills" : "Software Engineering, Robotics, Backend Systems, Internal Tooling", "majorSkillsList" : [ "Software Engineering", "Robotics", "Backend Systems", "Internal Tooling" ], "coreResponsibilities" : "Contribute to backend systems, Contribute to APIs, Contribute to services, Build internal tools, Improve internal tools, Build engineering workflows, Improve engineering workflows, Work on data pipelines, Work on automation, Work on system integrations, Prototype features, Support product development, Collaborate with engineers", "teamCollaboration" : "Cross-functional teams; Platform teams; Robotics teams; Operations teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Humanoid robots; Real-world systems; Physical systems; LLM agent; Virtual world", "domainList" : [ "humanoid-robots", "real-world-systems", "physical-systems", "llm-agent", "virtual-world" ], "domainSpecificKnowledge" : [ "Humanoid robots", "Real-world systems", "Physical systems", "LLM agent", "Virtual world" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Technical writing", "continuousLearning" : "Mentorship", "innovationCreativity" : "Prototyping; Hackathons", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Complete at least one goal-directed task", "qualificationsBasic" : "Some experience writing code", "qualificationsPreferred" : "Experience with Python, Experience with JavaScript, Familiarity with APIs, Familiarity with backend systems, Familiarity with web development, Exposure to Linux, Exposure to Git, Exposure to development workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. OUR MISSION We’re building software systems that enable robots to operate effectively in the real world expanding human capability and redefining how work gets done. THE OPPORTUNITY We’re looking for Software Engineering Interns who are curious, proactive, and excited to work on real-world systems. This is an open-track internship within software engineering, which means you won’t be confined to a single layer of the stack. Instead, you’ll work across different parts of our systems and collaborate closely with the team to find where you can have the most impact whether that’s backend services, internal tooling, data workflows, or product-facing features. This is a full-time internship (5 days per week) over the summer (mid June - mid September), based in our London Paddington office, where you’ll be contributing to real systems early on with support and guidance from experienced engineers. Duration: 12 weeks | Start date: June | Compensation: Competitive pay + we'll keep you fed (seriously, the food is good) WHAT YOU MIGHT WORK ON - Contributing to backend systems, APIs, and services - Building or improving internal tools and engineering workflows - Working on data pipelines, automation, or system integrations - Prototyping features and supporting product development - Collaborating with engineers across platform, robotics, and operations WHAT WE’RE LOOKING FOR - Strong interest in software engineering and real-world systems - Some experience writing code (any language) - Curiosity about robotics and how software interacts with physical systems - Ability to learn quickly and adapt in a fast-moving environment - Comfort working through ambiguity and solving problems - Ownership mindset and attention to detail - Clear communication and collaborative approach NICE TO HAVE (NOT REQUIRED) - Experience with Python and JavaScript or any other programming - Familiarity with APIs, backend systems, or web development - Exposure to Linux, Git, or development workflows - Projects (personal, academic, or professional) you can share WHAT YOU’LL GET - Hands-on experience working on real software systems - Exposure to full-stack and system-level engineering - Mentorship from experienced engineers - A fast-paced, low-ego, highly collaborative environment - Potential pathway to a full-time role HOW TO APPLY Complete the challenge below and submit your solution as a public GitHub repository — include a README with instructions to run your system and a short note on your design choices. You will be able to include your GitHub repository URL when you fill out the application form - alongside your name and CV. INTERN CHALLENGE: LLM AGENT IN A VIRTUAL WORLD Build a system that places an LLM agent into a virtual world where it can perceive its environment, take actions, and accomplish goals. The core challenge isn't the world itself — it's the harness: the interface between an intelligent agent and an environment it can act in. At a minimum, your system should: - Create a virtual environment the agent can exist in (2D grid, 3D scene, text-based world — your choice) - Define an observation format that represents the agent's current state and surroundings - Define an action space the agent can use to interact with the world (e.g. move, turn, look, pick up) - Wire up an LLM (e.g. Claude, GPT, or any model with an API) to observe state, reason, and choose actions in a loop - Demonstrate the agent completing at least one goal-directed task (e.g. \"go to the red cube\", \"find the key and open the door\", \"explore and describe the room\") We're intentionally leaving the approach open — use any tools, frameworks, or libraries you find effective. WHAT TO SUBMIT - A working codebase - Clear instructions on how to run your system - Example input(s) and output(s) — ideally a recording or log of the agent acting in the world - (Optional) A short note explaining your design choices: how you represent observations, why you chose your action space, what worked and what didn't WHAT WE CARE ABOUT - Quality of the agent harness — how well you've designed the interface between the LLM and the environment - Whether the agent can actually accomplish tasks, not just generate plausible text - Thoughtfulness about observation representation — what does the agent need to know, and how do you tell it? - Creativity in the world, the tasks, or the agent's capabilities - Simplicity and usability of your solution", "summaryDescription" : "Internship - Software Engineering at Humanoid. Skills: Software Engineering, Robotics, Backend Systems, Internal Tooling. Contribute to backend systems. Contribute to APIs", "createdAt" : "2026-06-14T04:11:01.855", "lastUpdated" : "2026-06-15T04:52:54.967", "ingestTimestamp" : "2026-06-14T04:11:01.855", "mongoId" : "6a2cafe574d8ee00a09d8273", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Software engineering", "Robotics", "System integrations", "Automation", "Ownership mindset", "Collaborative approach", "Software Engineering", "Backend Systems", "Internal Tooling", "System design", "Data workflows", "Product development", "Agile", "Humanoid robots", "Real-world systems", "Physical systems", "LLM agent", "Virtual world", "Git" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8274d8ee00a0975af8", "title" : "Senior Software Engineering Manager, Product Security", "company" : "WHOOP", "industry" : "Software", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "HIPAA certification" ], "timestamp" : "2026-06-15T09:06:37.562", "fingerprint" : "035ea5d5f2d92b8187a838a87bfbaf7a936f800121086bbcd1c4ed31cd0f7038", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/7c32b3ec-5f4a-4c32-97bb-9f07117cde76/application", "externalId" : "7c32b3ec-5f4a-4c32-97bb-9f07117cde76", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AWS, Docker, Kubernetes", "professionalSkills" : [ "Product security", "Cloud governance", "Vulnerability management", "Privacy rights", "Threat modeling", "Secure software development", "System design" ], "hardSkillsList" : [ "HIPAA compliance", "Regulatory compliance", "Security strategy", "Architecture design", "Secure development practices", "Incident response", "Post-mortem analysis" ], "softSkillsList" : [ "Leadership", "Mentoring", "Teamwork", "Psychological safety", "Continuous learning" ], "hardSkills" : [ { "name" : "HIPAA compliance", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Security strategy", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "Secure development practices", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Post-mortem analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Teamwork" }, { "name" : "Psychological safety" }, { "name" : "Continuous learning" } ], "majorSkills" : "Product security, HIPAA compliance, Team leadership", "majorSkillsList" : [ "Product security", "HIPAA compliance", "Team leadership" ], "coreResponsibilities" : "Build, lead, grow engineering teams, Execute product security strategy, Oversee engineering readiness for HIPAA, Coordinate technical implementation, Collect evidence, Manage ongoing governance, Define long-term security strategy, Communicate architecture principles, Partner to embed security, Embed privacy by design, Establish best practices, Enforce standards, Enforce processes, Drive continuous improvement, Enhance team productivity, Enhance quality, Enhance business impact, Provide mentorship, Provide guidance, Develop engineering managers, Develop individual contributors, Foster innovation culture, Foster teamwork culture, Foster psychological safety culture, Foster continuous learning culture", "teamCollaboration" : "Cross-functional partners; Product teams; Software teams; Legal teams; Compliance teams; Engineering leadership; Compliance leadership", "projectManagementSkills" : [ "Roadmap planning", "Program management" ], "domainKnowledge" : "Product security; Data privacy; HIPAA compliance; Health data compliance; Cloud-native architecture; Containerized environments", "domainList" : [ "product-security", "data-privacy", "hipaa-compliance", "health-data-compliance", "cloud-native-architecture", "containerized-environments" ], "domainSpecificKnowledge" : [ "Product security", "Data privacy", "HIPAA compliance", "Health data compliance", "Cloud-native architecture", "Containerized environments" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Interpersonal skills; Leadership skills; Influence across teams", "continuousLearning" : "Professional development; Career development", "innovationCreativity" : "Innovation culture", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "specialRequirements" : "Relocation required", "outcomesObjectives" : "Maintain HIPAA compliance; Enhance team productivity; Enhance quality; Enhance business impact", "qualificationsBasic" : "Technical leader managing teams, Experience growing IC career, Lead security/compliance initiatives, Deep product security understanding, Build/integrate developer security tooling, Technical background software development, Excellent communication, interpersonal, leadership skills", "qualificationsPreferred" : "Experience with AWS cloud, Data-driven decision-making experience, Hands-on infrastructure/cloud security, Containerized environments experience, Background incident response, Familiarity with automation frameworks, Experience scaling product security organization", "workSiteFlexibility" : "Onsite", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission. As a Senior Engineering Manager at WHOOP, you will play a critical leadership role as part of our cross-functional Platform organization. You will build, lead, and grow multiple teams responsible for protecting the security and privacy of our members by driving secure development practices, managing product-facing security programs, and building scalable security solutions. In addition to core product security responsibilities, you will be responsible for collaborating closely with cross-functional partners across Product, Software, Legal, and Compliance to achieve and maintain HIPAA compliance across WHOOP’s products and infrastructure. We are seeking a leader with prior experience helping an organization transition into HIPAA-compliant standards, capable of aligning technical execution with regulatory and business objectives. On the people management side, you will manage and mentor a team of engineers, provide regular performance feedback, and ensure professional development and growth. You will work to foster a culture of innovation, teamwork, psychological safety, and continuous learning. You are responsible for promoting a positive work environment where all team members feel valued, supported, and empowered to do their best work. RESPONSIBILITIES: - - Build, lead, and grow multiple engineering teams executing on WHOOP’s product security strategy, including member authentication, vulnerability management, cloud governance, privacy rights fulfillment, and threat modeling. - Oversee and drive WHOOP’s engineering readiness for HIPAA compliance, coordinating technical implementation, evidence collection, and ongoing governance activities across teams. - Define and communicate long-term security strategy, architecture, and design principles for product-facing systems. - Partner with engineering and compliance leadership to embed security and privacy by design across the software development lifecycle. - Establish and enforce best practices, standards, and processes for secure software development, testing, and deployment. - Drive continuous improvement initiatives that enhance team productivity, quality, and overall business impact. - Provide mentorship, guidance, and career development for engineering managers and individual contributors. - Foster a culture of innovation, teamwork, psychological safety, and continuous learning within the Product Security organization. QUALIFICATIONS: - - Proven experience as a technical leader managing multiple teams or a growing security engineering organization. - Experience growing high level individual contributor career growth at the staff level or higher. - Demonstrated success leading security or compliance initiatives in a regulated environment, preferably HIPAA or other health data compliance frameworks. - Deep understanding of product security principles, including vulnerability management, data privacy, threat modeling, and secure software development. - Experience building or integrating developer security tooling to improve secure-by-default practices. - Strong technical background in software development, testing, and deployment processes. - Excellent communication, interpersonal, and leadership skills with the ability to influence across teams and levels. BONUS QUALIFICATIONS: - - Experience with AWS cloud environments and data-driven decision-making. - Hands-on experience with infrastructure and cloud security in containerized environments (e.g., Docker, Kubernetes). - Background in incident response and post-mortem analysis for security events. - Familiarity with automation frameworks for vulnerability scanning, compliance checks, or infrastructure security. - Prior experience scaling a product security or compliance engineering organization through major regulatory transitions (e.g., SOC 2 → HIPAA, or HIPAA → HITRUST). ABOUT YOU: - - You’re a strategic and people-focused leader who thrives on balancing hands-on technical oversight with long-term organizational growth. - You have experience building and scaling teams to meet new regulatory and business demands. - You’re passionate about creating secure, privacy-first systems that protect member data and enable innovation. - You collaborate effectively across technical and non-technical teams and can operate confidently in both strategic and tactical domains. - Above all, you believe that security and compliance are enablers of innovation, and you lead by fostering a culture that supports both speed and safety. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.", "summaryDescription" : "Senior Software Engineering Manager, Product Security at WHOOP. Skills: Product security, HIPAA compliance, Team leadership. Build, lead, grow engineering teams. Execute product security strategy", "createdAt" : "2026-06-14T05:34:49.101", "lastUpdated" : "2026-06-15T09:06:37.562", "ingestTimestamp" : "2026-06-14T05:34:49.101", "mongoId" : "6a2c8c8274d8ee00a0975af8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "HIPAA compliance", "Regulatory compliance", "Security strategy", "Architecture design", "Secure development practices", "Incident response", "Post-mortem analysis", "Leadership", "Mentoring", "Teamwork", "Psychological safety", "Continuous learning", "Product security", "Team leadership", "Cloud governance", "Vulnerability management", "Privacy rights", "Threat modeling", "Secure software development", "System design", "Roadmap planning", "Program management", "Data privacy", "Health data compliance", "Cloud-native architecture", "Containerized environments", "HIPAA certification", "Docker", "Kubernetes" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c95ab74d8ee00a098dac1", "title" : "Manager Engineering Software", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Dublin, Ireland, adjusted for Manager seniority in the Sports industry for a full-time, onsite role." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland", "United Kingdom" ], "timestamp" : "2026-06-15T03:26:07.119", "fingerprint" : "161973847c011886b6b436b425569818710e7f429e9cc453e80753ab6c9e35c7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4212274009", "externalId" : "4212274009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "state" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3437061,-6.2544278" } ], "locationText" : "Dublin, Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "NET, C#, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Product strategy", "Technical direction" ], "hardSkillsList" : [ "Software development", "Cloud-native systems", "Agile", "Scrum" ], "softSkillsList" : [ "Mentorship", "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud-native systems", "level" : "intermediate" }, { "name" : "Agile", "level" : "intermediate" }, { "name" : "Scrum", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" }, { "name" : "Leadership" } ], "majorSkills" : "Engineering leadership, Software development, Cloud-native systems", "majorSkillsList" : [ "Engineering leadership", "Software development", "Cloud-native systems" ], "coreResponsibilities" : "Lead team in exploring technologies, Cultivate culture of innovation, Collaborate with Product Management, Collaborate with Quants, Collaborate with engineering leaders, Use data to guide decisions, Champion metrics-driven culture, Invest in team growth, Offer mentorship, Support career development, Oversee development of systems, Reduce technical debt, Improve system performance, Build cross-functional partnerships, Influence product strategy, Influence technical direction, Communicate technical ideas, Communicate business updates, Stay on top of trends, Bring fresh ideas", "teamCollaboration" : "Cross-functional partnerships; Product Management; Quants; Engineering leaders", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Trading domain; Risk management; Real-time systems", "domainList" : [ "trading-domain", "risk-management", "real-time-systems" ], "domainSpecificKnowledge" : [ "Trading domain", "Risk management", "Real-time systems" ], "communicationSkills" : "Communicate complex ideas; Communicate business updates", "continuousLearning" : "Learning opportunities; Personal development", "innovationCreativity" : "Innovation; Experimentation", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "2+ years engineering leadership, 7+ years software development, 3+ years cloud-native systems, Degree in Computer Science, Experience leading distributed teams", "qualificationsPreferred" : "Passion for sports, Start-up experience, Experience working cross-functionally", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. At Fanatics Betting & Gaming (FBG), a core division of Fanatics' mission to establish the ultimate end-to-end digital sports platform, we're crafting a world where every aspect of a sports fan's passion is catered to. As a Manager, Engineering Software with Trading Engineering, you'll be thrust into the innovative heart of our risk and trading domain, where the technical challenges are as diverse as they are complex. Experience great learning opportunities where you'll engage with cutting-edge technologies and methodologies to build and enhance real-time systems that not only support FBG's operations but are integral to Fanatics' broader goal of revolutionizing sports fan engagement, in an environment that fosters innovation and personal development. In this dynamic and supportive environment, your work will directly impact the development of sophisticated systems, driving innovation in how sports fans engage with the Fanatics ecosystem and deliver FBG product. You'll tackle unique technical challenges within our real-time decision-making systems, ensuring our platform remains at the forefront of the industry. Here, your professional growth is as vital as our platform's evolution, ensuring you develop alongside our mission to revolutionize the sports experience for fans worldwide. Responsibilities Lead your team in exploring and applying new technologies and practices, cultivating a culture of innovation and experimentation to deliver an exceptional fan experience. Collaborate closely with Product Management, Quants, and other engineering leaders to develop cohesive, user-first solutions aligned with Fanatics' strategic objectives. Use data and metrics to guide your team’s decision-making and ensure alignment with organizational goals. Champion a metrics-driven culture focused on measurable impact and continuous improvement. Invest in the growth and success of your team—offer mentorship, support career development, and help shape the next generation of leaders. Oversee the development of scalable, reliable systems while actively reducing technical debt and improving system performance. Build strong cross-functional partnerships to influence product strategy and technical direction at scale. Communicate complex technical ideas and business updates with clarity and confidence to stakeholders and executives. Stay on top of industry trends and best practices—bring fresh ideas that help elevate team performance and drive results. Be open to occasional travel for offsites, events, or key collaboration sessions. (We’re happy to accommodate travel needs or restrictions.) Experience and Skills 2+ years of experience in engineering leadership, with a strong ability to mentor, grow talent, and inspire technical excellence. 7+ years of experience in software development, particularly with .NET/C# or similar technologies. 3+ years of experience designing cloud-native systems (AWS, Azure, or GCP). Deep understanding of Agile and Scrum, with the agility to adapt in a fast-evolving environment. A history of successfully delivering complex, scalable solutions with a focus on customer experience. Positive, flexible mindset with a readiness to take on new challenges. Strong results orientation, backed by data and outcomes. Excellent communication, influencing, and problem-solving abilities. Degree in Computer Science or similar (or equivalent experience). Experience leading distributed or remote teams. Passion for sports and/or the sports betting industry. Experience working cross-functionally with Product, Data, and Design teams. Start-up or high-growth environment experience, with a bias toward rapid learning and iteration. Strong team collaboration mindset and passion for working in a supportive, fast-paced environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in Ireland or UK, but we strongly encourage those who can join us on campus two days per week. For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Manager Engineering Software at Fanatics Betting & Gaming. Skills: Engineering leadership, Software development, Cloud-native systems. Lead team in exploring technologies. Cultivate culture of innovation", "postedDate" : "2026-06-13T22:49:00.876", "createdAt" : "2026-06-13T22:49:00.876", "lastUpdated" : "2026-06-15T03:26:07.119", "ingestTimestamp" : "2026-06-13T22:49:00.876", "mongoId" : "6a2c95ab74d8ee00a098dac1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "Cloud-native systems", "Agile", "Scrum", "Mentorship", "Leadership", "Engineering leadership", "System design", "Product strategy", "Technical direction", "Trading domain", "Risk management", "Real-time systems" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2cd72274d8ee00a0a40623", "title" : "Mid/Senior Frontend Developer", "company" : "Sensor Tower", "industry" : "Engineering", "salary" : { "min" : 70000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid/Senior Frontend Developer in London, UK, adjusted for the technology industry and mid-level seniority." }, "location" : "London, UK", "locations" : [ "London, UK" ], "timestamp" : "2026-06-16T00:59:53.320", "fingerprint" : "90f3393f77b2d5a15178ac606bb9465e3f5d53203bf5550bf8d608452b9197ee", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sensor-tower/058a2e20-6f42-4e37-89b8-93b7b6c2261d/application", "externalId" : "058a2e20-6f42-4e37-89b8-93b7b6c2261d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid/Senior", "technicalSkills" : "JavaScript, TypeScript, React, TanStack Query, React Router, Zustand, Redux, MobX, NextJS, Jest, Playwright", "professionalSkills" : [ "System design", "Technical decision-making" ], "hardSkillsList" : [ "Frontend development", "State management", "Web performance optimization", "Unit testing", "Integration testing", "Data visualization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "State management", "level" : "intermediate" }, { "name" : "Web performance optimization", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Frontend development, React, TypeScript, System design", "majorSkillsList" : [ "Frontend development", "React", "TypeScript", "System design" ], "teamCollaboration" : "Data Science; Backend Engineers", "domainKnowledge" : "Web performance; Browser internals; Digital intelligence platform; Mobile app ecosystem; Digital advertising; Market trends; Competitor strategies; Consumer behavior; Market performance; Gaming ecosystems; Cloud-native architecture", "domainList" : [ "web-performance", "browser-internals", "digital-intelligence-platform", "mobile-app-ecosystem", "digital-advertising", "market-trends", "competitor-strategies", "consumer-behavior", "market-performance", "gaming-ecosystems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Web performance", "Browser internals", "Digital intelligence platform", "Mobile app ecosystem", "Digital advertising", "Market trends", "Competitor strategies", "Consumer behavior", "Market performance", "Gaming ecosystems", "Cloud-native architecture" ], "toolProficiency" : [ "Jest", "Playwright", "Highcharts" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "4+ years software engineering experience, Deep specialization in modern JavaScript, Deep specialization in TypeScript, Deep specialization in React, Proven ability to architect complex state management, Competence in writing robust unit tests, Competence in writing efficient unit tests, Competence in writing robust integration tests, Competence in writing efficient integration tests, Deep understanding of web performance, Deep understanding of browser internals, Deep understanding of optimization techniques", "qualificationsPreferred" : "Experience in data visualization, Experience handling large datasets, Experience with heavy DOM manipulation, Familiarity with backend frameworks, Familiarity with different types of DBs, Knowledge of AI-driven coding tools, Knowledge of AI-driven models", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, finance, and investment. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem. Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack. What we are interested in: - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A \"Product Owner\" mindset. You care deeply about the \"why\" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences. Extra Credit: - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Monthly internet stipend and a one-time $500 home office stipend. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.", "summaryDescription" : "Mid/Senior Frontend Developer at Sensor Tower. Skills: Frontend development, React, TypeScript, System design", "createdAt" : "2026-06-14T20:14:20.549", "lastUpdated" : "2026-06-16T00:59:53.320", "ingestTimestamp" : "2026-06-14T20:14:20.549", "mongoId" : "6a2cd72274d8ee00a0a40623", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Frontend development", "State management", "Web performance optimization", "Unit testing", "Integration testing", "Data visualization", "Mentoring", "React", "TypeScript", "System design", "Technical decision-making", "Web performance", "Browser internals", "Digital intelligence platform", "Mobile app ecosystem", "Digital advertising", "Market trends", "Competitor strategies", "Consumer behavior", "Market performance", "Gaming ecosystems", "Cloud-native architecture", "Jest", "Playwright", "Highcharts" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306036f292fd229cf884b1", "title" : "Junior Project Manager - Apprenticeship", "company" : "Decathlon Digital", "industry" : "Retail", "salary" : { "min" : 23000.0, "max" : 27000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Project Manager - Apprenticeship in Lille, France, adjusted for entry-level experience and the retail industry." }, "location" : "Lille, Upline, Nord, France", "locations" : [ "Lille", "Upline", "Nord", "France" ], "timestamp" : "2026-06-16T07:05:55.707", "fingerprint" : "ceb6c97bd6af82cf3e5e714dbd929be8745f440a6c6a5dfeeb5abdb4b9a2854f", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.eu.greenhouse.io/decathlontechnology/jobs/4895759101", "externalId" : "4895759101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lille", "state" : "Nord", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6365654,3.0635282" } ], "locationText" : "Lille, Nord, France", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Follow strategic roadmap, Animate strategic roadmap, Participate in securing digital transitions, Manage governance projects, Manage risk projects, Manage compliance projects", "teamCollaboration" : "Local project team; Global network team", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Governance; Risk; Compliance; Digital governance; Digital risk; Digital compliance", "domainList" : [ "governance", "risk", "compliance", "digital-governance", "digital-risk", "digital-compliance" ], "domainSpecificKnowledge" : [ "Governance", "Risk", "Compliance", "Digital governance", "Digital risk", "Digital compliance" ], "continuousLearning" : "Internal training; External training", "workSiteFlexibility" : "Flexible", "rawDescription" : "Notre Compliance Digital Team recherche un·e Digital Project Manager (f/m/d) en Alternance (12 ou 24 mois idéalement) basé·e à Lille. Au sein de la direction Digital de Decathlon, l'équipe GRC a pour mission de garantir que nos innovations technologiques et nos services numériques respectent les plus hauts standards réglementaires mondiaux. Composée de 15 expert·es passionné·es, notre équipe relève chaque jour le défi de rendre la conformité fluide, agile et créatrice de valeur. En intégrant notre équipe, vous participerez activement à la sécurisation de nos transitions numériques et à la gestion de nos grands chantiers de gouvernance, de risques et de conformité (GRC) dans un écosystème international en pleine mutation. TA FUTURE CONTRIBUTION En tant qu'alternant·e Chef de Projet, tu seras le moteur du suivi et de l'animation de notre roadmap stratégique. Tes missions s'articuleront autour de trois phases clés : Cartographie * Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ; * Développement des compétences et accompagnement (diversité des projets, formations internes et externes, etc.) ; * Package de rémunération (actionnariat salarié, bonus mensuels/trimestriels). NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es. Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.", "summaryDescription" : "Junior Project Manager - Apprenticeship at Decathlon Digital. Follow strategic roadmap. Animate strategic roadmap", "postedDate" : "2026-06-15T23:28:33.399", "createdAt" : "2026-06-15T23:28:33.399", "lastUpdated" : "2026-06-16T07:05:55.707", "ingestTimestamp" : "2026-06-15T23:28:33.399", "mongoId" : "6a306036f292fd229cf884b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Roadmap planning", "Governance", "Risk", "Compliance", "Digital governance", "Digital risk", "Digital compliance" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca50574d8ee00a09b440a", "title" : "Software Engineering Apprentice", "company" : "Liminal", "industry" : "Technology", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Software Engineering Apprentice in Singapore, adjusted for the technology industry and internship employment type." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-15T06:39:59.014", "fingerprint" : "8ce83e5d9c6d60e308462b4b9a29b137bf4c0c2e4492b4d7afe486b9b7ce6420", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/liminalbuild/jobs/5078252007", "externalId" : "5078252007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI, Software", "professionalSkills" : [ "Venture building", "Technical validation" ], "hardSkillsList" : [ "Build prototypes", "Test prototypes", "Build features", "Test features", "Build tools", "Test tools", "Contribute to tools", "Support founders", "Collaborate with engineers", "Collaborate with designers", "Research technologies", "Assess technologies", "Test technologies", "Research frameworks", "Assess frameworks", "Test frameworks", "Research APIs", "Assess APIs", "Test APIs" ], "hardSkills" : [ { "name" : "Build prototypes", "level" : "intermediate" }, { "name" : "Test prototypes", "level" : "intermediate" }, { "name" : "Build features", "level" : "intermediate" }, { "name" : "Test features", "level" : "intermediate" }, { "name" : "Build tools", "level" : "intermediate" }, { "name" : "Test tools", "level" : "intermediate" }, { "name" : "Contribute to tools", "level" : "intermediate" }, { "name" : "Support founders", "level" : "intermediate" }, { "name" : "Collaborate with engineers", "level" : "intermediate" }, { "name" : "Collaborate with designers", "level" : "intermediate" }, { "name" : "Research technologies", "level" : "intermediate" }, { "name" : "Assess technologies", "level" : "intermediate" }, { "name" : "Test technologies", "level" : "intermediate" }, { "name" : "Research frameworks", "level" : "intermediate" }, { "name" : "Assess frameworks", "level" : "intermediate" }, { "name" : "Test frameworks", "level" : "intermediate" }, { "name" : "Research APIs", "level" : "intermediate" }, { "name" : "Assess APIs", "level" : "intermediate" }, { "name" : "Test APIs", "level" : "intermediate" } ], "majorSkills" : "AI, Software Development", "majorSkillsList" : [ "AI", "Software Development" ], "coreResponsibilities" : "Build and test prototypes, Build and test features, Build and test tools, Contribute to AI-powered internal tools, Support founders on early AI experiments, Support founders on technical validation, Collaborate with engineers, Collaborate with designers, Collaborate with product leads, Deliver clean code, Deliver efficient code, Research new technologies, Assess new technologies, Test new technologies, Research new frameworks, Assess new frameworks, Test new frameworks, Research new APIs, Assess new APIs, Test new APIs", "teamCollaboration" : "Collaborative environments; Collaborate with engineers; Collaborate with designers; Collaborate with product leads", "domainKnowledge" : "AI; Software; Venture building; Embedded technologies; IoT technologies", "domainList" : [ "ai", "software", "venture-building", "embedded-technologies", "iot-technologies" ], "domainSpecificKnowledge" : [ "AI", "Software", "Venture building", "Embedded technologies", "IoT technologies" ], "continuousLearning" : "Learn by building; Learn by trying; Learn by testing; Learn by breaking; Learn by improving; Learn by doing", "innovationCreativity" : "Experimenting with new technologies; Fast-iteration projects; Shaping prototypes; Turning ideas into working software; Create products that push boundaries", "problemSolvingSkills" : "Adaptable problem-solver; Problem-solver", "outcomesObjectives" : "Bring venture ideas to life; Improve operational efficiency; Turn ideas into working software", "qualificationsBasic" : "Hungry to learn, Build and iterate quickly, Experiment with new technologies, Adaptable problem-solver, Self-driven learner, Bias toward action, Hands-on exploration", "qualificationsPreferred" : "Exploring path outside degree, Recent grad breaking into new industry, Mid-career professional ready to reset, Hands-on work teaches faster than theory", "rawDescription" : "The Short Version This isn’t a place for coffee runs or filler tasks. We’re looking for people who learn by building; by trying, testing, breaking, and improving. What Liminal Is A Founders' Studio. We co-build with repeat founders—many of them unicorn founders—providing build expertise, capital, and unfair access from MVP to Series B. We call ourselves a Founders' Studio because \"venture studio\" undersells what we actually do and oversells what most of them actually deliver. What This Role Actually Is We’re seeking a Software Engineering Apprentice who learns by building and isn’t afraid to get their hands dirty. You’ll work on AI-powered internal tools that improve how our studio operates — scrappy, fast-iteration projects that sharpen your engineering instincts and judgment. You’ll also gain exposure to real venture building, contributing to early AI and software projects alongside experienced founders, shaping prototypes, testing assumptions, and turning ideas into working software. If you’re hungry to learn, comfortable with ambiguity, and motivated by building things that actually get used, you’ll fit right in. Nuts and Bolts of What You'll Actually Do Build and test prototypes, features, and tools that bring venture ideas to life Contribute to AI-powered internal tools that improve operational efficiency Support founders on early AI experiments and technical validation Collaborate with engineers, designers, and product leads to deliver clean, efficient code Research, assess, and test new technologies, frameworks, and APIs You Should Have Hungry to learn, build, and iterate quickly Enthusiastic about experimenting with new technologies and frameworks Adaptable problem-solver who thrives in fast-moving, collaborative environments Self-driven learner with a bias toward action and hands-on exploration Curious about how AI and software can solve real-world business challenges You Might Be You might be exploring a path outside your degree, a recent grad trying to break into a new industry, or a mid-career professional ready to reset and learn by doing. Or you may simply know that hands-on work teaches faster than theory ever could. This role offers hands-on experience with emerging embedded and IoT technologies, close collaboration with experienced founders, and the chance to create products that push boundaries. If you’re motivated by learning through building and making an impact, we’d love to meet you. This Is an Apprenticeship, Not an Internship At Liminal, we don’t offer traditional internships. Our Studio Apprenticeship Program (12 months) puts you in the front seat, working alongside experienced builders on high-impact projects.", "summaryDescription" : "Software Engineering Apprentice at Liminal. Skills: AI, Software Development. Build and test prototypes. Build and test features", "postedDate" : "2026-06-13T21:12:00.946", "createdAt" : "2026-06-13T21:12:00.946", "lastUpdated" : "2026-06-15T06:39:59.014", "ingestTimestamp" : "2026-06-13T21:12:00.946", "mongoId" : "6a2ca50574d8ee00a09b440a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Build prototypes", "Test prototypes", "Build features", "Test features", "Build tools", "Test tools", "Contribute to tools", "Support founders", "Collaborate with engineers", "Collaborate with designers", "Research technologies", "Assess technologies", "Test technologies", "Research frameworks", "Assess frameworks", "Test frameworks", "Research APIs", "Assess APIs", "Test APIs", "AI", "Software Development", "Venture building", "Technical validation", "Software", "Embedded technologies", "IoT technologies" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30904cf292fd229c0b2531", "title" : "Senior Software Engineer - Platform Engineering (Fed Ops)", "company" : "Abnormal AI", "industry" : "Technology", "salary" : { "min" : 179800.0, "max" : 258500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-16T12:50:09.446", "fingerprint" : "11e79d4287edb369943810e49d99204e275e7c2030961ae14b586eff761abe7c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abnormal.ai/careers/jobs/7773987003?gh_jid=7773987003", "externalId" : "7773987003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role Abnormal AI is hiring a Senior Software Engineer, Cloud Infrastructure to help build the Federal Platform layer underpinning our GovCloud environment. This is a platform infrastructure role first: you will design and evolve the core infrastructure, deployment foundations, and platform patterns that make GovCloud behave more like a thin extension of our commercial platform, with less drift and stronger operational leverage over time. As the first engineer focused on Federal Platform, you will help define the charter for the team, provide mentorship and guidance on platform-oriented topics in the GovCloud environment, and build the paved roads that make Federal Operations and application teams more self-sufficient as we scale the federal business. What you will do Lead the build-out and evolution of Abnormal’s FedRAMP High cloud infrastructure, translating security and compliance requirements into reliable, auditable AWS implementations for the GovCloud environment. Design and maintain reusable Terraform modules, infrastructure patterns, and platform standards that make Gov changes safer, more repeatable, and easier for FedOps engineers to operate. Drive sound architectural decisions across compute, networking, and service design, balancing compliance, operational simplicity, and parity with commercial where it delivers the most value. Partner closely with FedRAMP, compliance, and other engineering teams to reduce environment drift, improve deployment readiness, and close high-impact gaps between Gov and commercial. Raise the operational bar for GovCloud through better monitoring, alerting, documentation, and incident readiness, with a focus on reducing toil and improving long-term maintainability. Serve as a technical leader for FedOps by mentoring engineers, guiding implementation quality, and helping the team adopt AI-assisted workflows that speed up delivery and onboarding. Must Haves 7+ years of experience operating public cloud environments, with deep hands-on AWS expertise Strong, production-grade Terraform experience. Comfortable building and debugging IaC modules from scratch, not just using existing configurations Experience deploying and managing Kubernetes workloads in production Experience working in or building toward compliance-constrained environments (FedRAMP, SOC 2, ISO 27001, or similar) Comfort reading and writing Python, Go, or similar scripting languages. You don't need to ship full applications, but should be able to read, adapt, and write infrastructure automation scripts Demonstrated AI-forward mindset. Active use of AI in engineering workflows beyond as a coding assistant US Citizenship or Permanent Resident status (required for FedRAMP environment access) Nice to Have Direct FedRAMP Moderate or High implementation experience Experience building developer enablement infrastructure: cloud code integration, local agent setup, or CI/CD pipelines Experience using AI/LLM tooling in production engineering contexts AWS certifications (Solutions Architect, DevOps Engineer, or equivalent) #LI-NT1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $179,800—$258,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.", "summaryDescription" : "Senior Software Engineer - Platform Engineering (Fed Ops) at Abnormal AI", "postedDate" : "2026-06-16T03:15:55.620", "createdAt" : "2026-06-16T03:15:55.620", "lastUpdated" : "2026-06-16T12:50:09.446", "ingestTimestamp" : "2026-06-16T03:15:55.620", "mongoId" : "6a30904cf292fd229c0b2531", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 179800, "salaryAnnualMax" : 258500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a1074d8ee00a09441fd", "title" : "Director, Software Engineering", "company" : "Symphony Communication Services", "industry" : "Technology", "salary" : { "min" : 80000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Belfast, Northern Ireland, United Kingdom", "locations" : [ "Belfast", "Northern Ireland", "United Kingdom" ], "timestamp" : "2026-06-15T04:45:42.772", "fingerprint" : "f677687df0140e03268d90adcd596691e8d637f09a43288d121b355a0c299d0d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://symphony.com/company/apply?gh_jid=7795710", "externalId" : "7795710", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belfast", "state" : "Northern Ireland", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.5963910,-5.9301829" } ], "locationText" : "Belfast, Northern Ireland, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "C#, NET, Linux, Ubuntu, REST APIs, WebSockets, Docker, Kubernetes, WPF, Blazor", "professionalSkills" : [ "Team scaling", "Global integration", "Distributed leadership" ], "hardSkillsList" : [ "API design", "API scaling", "WebSocket design", "WebSocket scaling", "Container management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "API design", "level" : "intermediate" }, { "name" : "API scaling", "level" : "intermediate" }, { "name" : "WebSocket design", "level" : "intermediate" }, { "name" : "WebSocket scaling", "level" : "intermediate" }, { "name" : "Container management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Software Engineering, Cloud-native architecture, AI tools", "majorSkillsList" : [ "Software Engineering", "Cloud-native architecture", "AI tools" ], "coreResponsibilities" : "Lead engineering team, Develop engineering team, Drive technical pivot, Migrate core systems, Accelerate migration, Act as bridge, Ensure API contracts, Ensure architectural alignment, Maintain real-time systems, Optimize real-time systems, Ensure data distribution", "teamCollaboration" : "Global engineering teams; Across time zones; Multi-site environment; Asynchronous workflows", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Trader Voice product; Cloud-native architecture; High-concurrency systems; Tier-1 global Partners", "domainList" : [ "trader-voice-product", "cloud-native-architecture", "high-concurrency-systems", "tier-1-global-partners" ], "domainSpecificKnowledge" : [ "Trader Voice product", "Cloud-native architecture", "High-concurrency systems", "Tier-1 global Partners" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "API contracts", "documentationSkills" : "Documentation generation", "innovationCreativity" : "AI impact", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "In-office 4 days/week", "outcomesObjectives" : "Accelerate AI impact; Prioritize data security; Navigate regulatory compliance; Optimize business interactions", "qualificationsBasic" : "10+ years engineering management, 10+ years people management, Bachelor or Master Degree, Expert-level C#, Expert-level .NET (6/7/8), Deploying workloads on Linux/Ubuntu, Managing workloads on Linux/Ubuntu, Designing REST APIs, Scaling REST APIs, Designing WebSockets, Scaling WebSockets, Experience migrating from WPF, Architectural oversight migrating from WPF, Experience using AI tools, Knowledge of Docker, Knowledge of Kubernetes, Managing containerized Linux environments", "qualificationsPreferred" : "Experience with Blazor frontend, Deep architectural oversight migrating to Blazor", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About us @Symphony Secure. Connected. Intelligent. Symphony is an AI-powered communication and technology company fueled by interconnected platforms: messaging, voice, directory and analytics. Our end-to-end encrypted technologies enable over 1,400 institutions to accelerate AI impact, prioritize data security, navigate complex regulatory compliance and optimize business interactions. Role Description: We are seeking an experienced Engineering Director to lead the evolution of our Trader Voice product. Located in our Belfast office, this role is an anchor for our engineering function and will lead and develop an engineering team dedicated to our best-in-class trader voice product. You will drive a high-stakes technical pivot: migrating our core systems from a legacy Windows/WPF foundation to a modern, cloud-native architecture running on Ubuntu (Linux) with a Blazor frontend. This is a global position, requiring seamless collaboration across our engineering teams in Sweden, France, and New York. Key Responsibilities: Team Scaling and accelerate the migration. Global Integration: Act as a key bridge between Belfast and our teams in Sweden, France, and New York, ensuring consistent API contracts and architectural alignment across time zones. Real-Time Systems: Maintain and optimize mission-critical & Headless components, ensuring robust data distribution via WebSockets and REST APIs for Tier-1 global Partners. Required Qualifications: Education: Bachelor or Master Degree in Computer Science or engineering field Experience: 10+ years of engineering management and people management experience The .NET Stack: Expert-level C# and .NET (6/7/8). Must have experience deploying and managing workloads on Linux/Ubuntu. API & Real-Time Mastery: Strong proficiency in designing and scaling REST APIs and WebSockets for high-concurrency systems. UI Transition: Proven experience (or deep architectural oversight) in migrating from WPF to Blazor. AI Proficiency: Practical experience using AI tools to generate production-grade code, unit tests, and documentation. Distributed Leadership: Ability to thrive in a multi-site environment, managing asynchronous workflows between Europe and the US Infrastructure: Knowledge of Docker and Kubernetes for managing containerized Linux environments. Presence: This is a core leadership role in our Belfast office and in-office presence a minimum of 4 days/week is required to lead by example, drive engagement, and create a highly collaborative and impactful environment for the office. Compensation: Salary Range: £80,000 - 110,000 base salary per year Bonus Plan Benefits and Perks: Regional specific competitive benefits Build your own Benefits (BYOB) perk Local events, team building, and development opportunities We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.", "summaryDescription" : "Director, Software Engineering at Symphony Communication Services. Skills: Software Engineering, Cloud-native architecture, AI tools. Lead engineering team. Develop engineering team", "postedDate" : "2026-06-13T20:18:22.079", "createdAt" : "2026-06-13T20:18:22.079", "lastUpdated" : "2026-06-15T04:45:42.772", "ingestTimestamp" : "2026-06-13T20:18:22.079", "mongoId" : "6a2c7a1074d8ee00a09441fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "API design", "API scaling", "WebSocket design", "WebSocket scaling", "Container management", "Leadership", "Software Engineering", "Cloud-native architecture", "AI tools", "Team scaling", "Global integration", "Distributed leadership", "Roadmap planning", "Trader Voice product", "High-concurrency systems", "Tier-1 global Partners", "Docker", "Kubernetes" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6d1a74d8ee00a091d384", "title" : "Manager, Software Engineering", "company" : "Nintendo", "industry" : "Technology", "salary" : { "min" : 145150.0, "max" : 261200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-15T10:12:11.730", "fingerprint" : "6a80a9f6a1e8d76a78149dbd1a26768bf5c40cd7a3284f384725cef5d7950303", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4137177009", "externalId" : "4137177009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "Java, React.js, Spring Boot, GraphQL, AWS, CDK, Lambda, S3", "professionalSkills" : [ "Project management", "Program management", "Technology solutions", "Team development", "Operational activities", "Tactical plans", "Strategy development", "Contract management", "Budget management", "Vendor management", "Process compliance", "Change management", "Incident response", "Information security", "Disaster recovery" ], "hardSkillsList" : [ "Deployment automation", "Microservices architecture", "Cloud-based development", "End-to-end development" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Microservices architecture", "level" : "intermediate" }, { "name" : "Cloud-based development", "level" : "intermediate" }, { "name" : "End-to-end development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Software engineering, Live services, Microservices architecture, Cloud development", "majorSkillsList" : [ "Software engineering", "Live services", "Microservices architecture", "Cloud development" ], "coreResponsibilities" : "Manage team of software engineers, Provide guidance and training, Support professional growth, Monitor hardware/software technology, Ensure maximum access, Ensure efficient environments, Ensure stable environments, Execute tactical plans, Ensure alignment with priorities, Support senior leadership, Oversee contracts, Oversee budgets, Oversee vendors, Ensure work compliance, Create disaster recovery plans, Create disaster recovery scripts, Test disaster recovery plans, Establish team goals, Manage team goals, Establish department goals, Manage department goals, Establish metrics, Manage metrics", "teamCollaboration" : "Global development teams; Cross-functional teams", "projectManagementSkills" : [ "Project management", "Program management", "Agile" ], "domainKnowledge" : "Microservices architecture; Cloud-based development; Enterprise web applications; J-SOX; SDLC; Change management; Architecture review; PCI; PII; Information security", "domainList" : [ "microservices-architecture", "cloud-based-development", "enterprise-web-applications", "j-sox", "sdlc", "change-management", "architecture-review", "pci", "pii", "information-security" ], "domainSpecificKnowledge" : [ "Microservices architecture", "Cloud-based development", "Enterprise web applications", "J-SOX", "SDLC", "Change management", "Architecture review", "PCI", "PII", "Information security" ], "toolProficiency" : [ "AWS CDK", "AWS Lambda", "AWS S3" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "6-8 years of experience, Previous people management experience, Undergraduate degree in Computer Science, Experience managing delivery of enterprise scale applications, Working experience with deployment automation, Working experience with microservices architecture, Working experience with cloud-based development, Experience working with global development teams", "qualificationsPreferred" : "Full-stack end-to-end development experience preferred, Passion for video games a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. Based in Redmond, Washington, Nintendo of America serves as headquarters for Nintendo’s operations in the Americas. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. Summary: Within IT’s Consumer Online & Publishing department, the Publisher Solutions (3PT) team manages a suite of tools that serve game developers in approving and publishing their games on the Nintendo Switch platform. In this role you will manage the team of engineers building and maintaining the systems used to get games into the hands of gamers. From the web portal developers use to describe products, to tracking a game's certification, to ordering and printing game cartridges, you will support the team writing the software to power every step of the process. Ideal candidates will have a deep, firsthand experience with software engineering and experience shipping and maintaining live services. We use a microservices architecture and are constantly evolving our technology to keep pace with the business. This team is responsible for the Nintendo Developer Portal (NDP), find out more about our main product publishing platform here - https://developer.nintendo.com/ Description of Duties: Provides overall direction and effectively manages information technology and computing systems/software associated with assigned area. Plans, coordinates, directs, and designs technology-related activities of the organization, as well as providing administrative direction and support for daily operational activities. Works closely with decision makers in other departments to identify, recommend, develop, implement, and support cost-effective technology solutions for all aspects of the organization. Manages and develops team of software engineers, providing guidance and training to effectively support professional growth and appropriate use of technology. Monitors and maintains hardware/software technology to ensure maximum access and efficient, secure and stable environments. Executes tactical plans through assigned team and ensures alignment with company priorities and long-term strategy. Supports senior leadership with long-term tactical plan development. Oversee and manages contracts, budgets and vendors associated with assigned areas and projects. Ensures work is compliant with established processes, J-SOX and other internal controls. (i.e., SDLC, change management, production control, following standards, architecture review, incident response, PCI and PII information security, etc.). Creates disaster recovery plans, scripts, and tests. Establishes and manages team and department goals, objectives, and metrics. Summary of Requirements: Requires a minimum of six to eight (6 – 8) years of related experience, including previous people management experience. Intermediate to advanced project and program management knowledge. A proven track record of managing, organizing, overseeing and delivering on complex projects. Undergraduate degree in Computer Science, a related field, or equivalent or combination of education and Demonstrated ability to lead and develop staff in a dynamic environment. Experience managing delivery of enterprise scale, complex applications. Working experience with deployment automation, microservices architecture, and cloud-based development Experience working with global development teams on enterprise web applications. Background in full-stack end-to-end development experience preferred. Passion for video games a plus Technology stack includes – serverless Java, React.js, Spring Boot, Graph QL, AWS (CDK, Lambda, S3), etc. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is hybrid in Redmond, WA. Hybrid positions require regular onsite work following the schedule and guidelines for their division. This position is not open to fully remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150—$261,200 USD", "summaryDescription" : "Manager, Software Engineering at Nintendo. Skills: Software engineering, Live services, Microservices architecture, Cloud development. Manage team of software engineers. Provide guidance and training", "postedDate" : "2026-06-13T20:17:16.210", "createdAt" : "2026-06-13T20:17:16.210", "lastUpdated" : "2026-06-15T10:12:11.730", "ingestTimestamp" : "2026-06-13T20:17:16.210", "mongoId" : "6a2c6d1a74d8ee00a091d384", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145150, "salaryAnnualMax" : 261200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Deployment automation", "Microservices architecture", "Cloud-based development", "End-to-end development", "Leadership", "Software engineering", "Live services", "Cloud development", "Project management", "Program management", "Technology solutions", "Team development", "Operational activities", "Tactical plans", "Strategy development", "Contract management", "Budget management", "Vendor management", "Process compliance", "Change management", "Incident response", "Information security", "Disaster recovery", "Agile", "Enterprise web applications", "J-SOX", "SDLC", "Architecture review", "PCI", "PII", "AWS CDK", "AWS Lambda", "AWS S3" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8d74d8ee00a0975cbc", "title" : "Senior Software Engineer, Site Reliability Engineering", "company" : "Thumbtack", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer, Site Reliability Engineering in Canada, adjusted for remote work in Ontario and the technology industry." }, "location" : "Remote, Ontario", "locations" : [ "Remote, Ontario", "Remote, British Columbia" ], "timestamp" : "2026-06-15T07:57:11.739", "fingerprint" : "7055abec022cabb610713c8c97dc4c3d6f210722e7a1e4acd6e464b865497a9d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/334815d3-52e3-407d-9279-691f0397d190/application", "externalId" : "334815d3-52e3-407d-9279-691f0397d190", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Linux, Python, Go, PHP, Javascript, DNS, TLS, HTTP/S, TCP/IP", "professionalSkills" : [ "System design", "Service management", "Infrastructure management", "Change management", "Demand forecasting", "Performance bottlenecks" ], "hardSkillsList" : [ "Distributed systems analysis", "Distributed systems troubleshooting", "Large-scale systems analysis", "Large-scale systems troubleshooting", "Microservices operation", "Cloud environment operation" ], "hardSkills" : [ { "name" : "Distributed systems analysis", "level" : "intermediate" }, { "name" : "Distributed systems troubleshooting", "level" : "intermediate" }, { "name" : "Large-scale systems analysis", "level" : "intermediate" }, { "name" : "Large-scale systems troubleshooting", "level" : "intermediate" }, { "name" : "Microservices operation", "level" : "intermediate" }, { "name" : "Cloud environment operation", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, Platform services, Distributed systems", "majorSkillsList" : [ "Site Reliability Engineering", "Platform services", "Distributed systems" ], "coreResponsibilities" : "Design software, Create software, Maintain software, Design systems, Create systems, Maintain systems, Improve availability, Improve scalability, Improve efficiency, Set architectural direction, Support engineering organization, Design tools, Implement tools, Design processes, Implement processes, Manage deployment, Manage change, Manage service, Manage infrastructure, Troubleshoot systems, Debug systems, Contribute to evolution, Contribute to performance, Capacity planning, Demand forecasting, Anticipate performance bottlenecks, Participate in on-call duties", "teamCollaboration" : "Collaborate across business; Collaborate with engineering teams; Collaborate with product development; Collaborate with developer experience; Collaborate with backend infrastructure; Cross functional collaborative culture; Cross functional partners", "domainKnowledge" : "Microservices; Cloud environment; Web technologies", "domainList" : [ "microservices", "cloud-environment", "web-technologies" ], "domainSpecificKnowledge" : [ "Microservices", "Cloud environment", "Web technologies" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "problemSolvingSkills" : "Decompose complex problems; Troubleshoot critical systems; Debug critical systems", "specialRequirements" : "Rotating on-call duties", "qualificationsBasic" : "5 years of experience, Extensive fluency in AWS, Extensive fluency in Linux, Ability to read code, Ability to write code, Ability to debug code, Ability to decompose complex problems, Ability to understand tradeoffs, Ability to communicate clearly, Ability to communicate effectively", "qualificationsPreferred" : "Knowledge of instrumenting distributed systems, Knowledge of operating distributed systems, Knowledge of observing distributed systems, Knowledge of microservices in production cloud", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE SITE RELIABILITY ENGINEERING TEAM Thumbtack's Site Reliability Engineering team focuses on creating and maintaining a reliable, secure, and scalable platform vital for a seamless user experience. As a key contributor, you will design and support resilient systems, prioritizing high performance, availability, and throughput, with a focus on minimizing service disruptions, downtime, and latency. SRE impacts Thumbtack’s ecosystem across the entire stack, from linux systems to applications that drive the customer experience. Our work is high leverage impacting how Engineering, Applied Science, and many other teams deliver, run, and observe systems. THE CHALLENGE The Site Reliability team is responsible for a broad set of technologies and systems with expectations to collaborate across the business. We are expected to develop and enhance existing capabilities while ensuring scalability, reliability and resiliency of infrastructure and software. You’ll work with engineering teams ranging from product development, developer experience, and backend infrastructure to collaboratively build Thumbtack’s ecosystem of platform services that have the right impact at the right time. Thumbtack values its cross functional collaborative culture, and you’d be positioned to contribute to the future direction and success of the engineering platform that serves as the engine of our applications. WHAT YOU’LL DO - Design, create, and maintain software and systems to improve the availability, scalability, and efficiency of Thumbtack's services - Set the architectural direction of infrastructure and platform services while supporting the engineering organization - Design and implement tools and processes used for deployment, change, service, and infrastructure management - Troubleshoot and debug critical systems throughout the SDLC - Contribute to the evolution and performance of capabilities we provide to engineering as a platform organization - Capacity planning and demand forecasting, anticipating performance bottlenecks - Participate in rotating on-call duties IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - Extensive fluency in AWS and Linux - Ability to effectively read, write, and debug code in programming languages like but not limited to: Python, Go, PHP, Javascript - Expertise in designing, analyzing, and troubleshooting large-scale distributed systems across web technologies like: DNS, TLS, HTTP/S, TCP/IP - Ability to decompose complex problems while understanding the tradeoffs necessary to deliver impact - 5 years of experience managing infrastructure and systems - Demonstrable knowledge of instrumenting, operating, and observing a distributed system of microservices in a production cloud environment - Ability to communicate clearly and effectively to cross functional partners of various technical levels - Passion for reducing toil and improving developer experience EXPECTED SALARY RANGES - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $180,200.00 - $233,200.00 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Senior Software Engineer, Site Reliability Engineering at Thumbtack. Skills: Site Reliability Engineering, Platform services, Distributed systems. Design software. Create software", "createdAt" : "2026-06-14T02:10:54.636", "lastUpdated" : "2026-06-15T07:57:11.739", "ingestTimestamp" : "2026-06-14T02:10:54.636", "mongoId" : "6a2c8c8d74d8ee00a0975cbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems analysis", "Distributed systems troubleshooting", "Large-scale systems analysis", "Large-scale systems troubleshooting", "Microservices operation", "Cloud environment operation", "Site Reliability Engineering", "Platform services", "Distributed systems", "System design", "Service management", "Infrastructure management", "Change management", "Demand forecasting", "Performance bottlenecks", "Microservices", "Cloud environment", "Web technologies" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d0b4474d8ee00a0accdc0", "title" : "Senior / Staff Software Engineer, Agentic Engineering", "company" : "Abridge", "industry" : "Builder", "salary" : { "min" : 230000.0, "max" : 290000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "SF Office", "locations" : [ "SF Office" ], "timestamp" : "2026-06-15T07:49:52.349", "fingerprint" : "e13297e5bfeac1800f3526c38a589e15b6da1d4b18dc6fc089eef22f8a17386e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/abridge/5413b10b-532f-46a7-b1f3-d5490d78120e/application", "externalId" : "5413b10b-532f-46a7-b1f3-d5490d78120e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, CI/CD, DevOps, Cloud, Kubernetes, AWS, GCP, LLM", "professionalSkills" : [ "Systems thinking", "Developer ergonomics", "Feedback loops", "Development velocity" ], "hardSkillsList" : [ "Build tooling", "MCP servers", "AI-assisted development", "Infrastructure tooling", "Operational efficiency" ], "hardSkills" : [ { "name" : "Build tooling", "level" : "intermediate" }, { "name" : "MCP servers", "level" : "intermediate" }, { "name" : "AI-assisted development", "level" : "intermediate" }, { "name" : "Infrastructure tooling", "level" : "intermediate" }, { "name" : "Operational efficiency", "level" : "intermediate" } ], "majorSkills" : "Agentic infrastructure, AI tooling, CI/CD, Developer experience", "majorSkillsList" : [ "Agentic infrastructure", "AI tooling", "CI/CD", "Developer experience" ], "coreResponsibilities" : "Build developer infrastructure, Evolve developer infrastructure, Own CI/CD systems, Build tooling, Build developer platforms, Improve velocity, Improve reliability, Drive improvements, Design agentic workflows, Implement agentic workflows, Build MCP servers, Build autonomous agents, Build AI-assisted tooling, Embed AI into lifecycle, Help teams integrate tools, Own developer experience, Improve developer journey, Eliminate friction, Drive technical excellence, Improve developer ergonomics, Improve feedback loops, Improve development velocity, Evaluate AI tooling, Adopt AI tooling, Guide adoption", "teamCollaboration" : "Across teams; Across functions", "domainKnowledge" : "Healthcare; Generative AI; Clinical documentation; EMR integrations; AI for healthcare", "domainList" : [ "healthcare", "generative-ai", "clinical-documentation", "emr-integrations", "ai-for-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare", "Generative AI", "Clinical documentation", "EMR integrations", "AI for healthcare" ], "toolProficiency" : [ "Bazel", "Buck", "GitHub Actions", "Buildkite", "CircleCI", "ArgoCD", "Istio", "Atmos", "LangGraph", "LangChain" ], "communicationSkills" : "Collaborate across teams", "continuousLearning" : "Ongoing learning opportunities", "specialRequirements" : "Minimum 3 days/week in office", "outcomesObjectives" : "Improve build/test times; Improve deployment frequency; Improve onboarding experience; Deliver productivity gains", "qualificationsBasic" : "Experience building CI/CD systems, Experience with agentic frameworks, Experience improving developer experience, Familiarity with public cloud, Experience with containerized environments, Track record leveraging AI tools", "qualificationsPreferred" : "Built internal developer platform, Experience with multi-agent orchestration, Worked in regulated industries", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge's platform is scaling fast alongside our expanding customer base and product growth. We're building a new agentic engineering team — one of our top company priorities — reporting directly to our CTO. We're looking for Engineers to help build the agentic infrastructure every engineer at Abridge relies on. You'll work at the intersection of AI tooling, CI/CD and developer experience — building the internal systems and agents that power how we develop and ship software. As an early member of this team, you'll tackle high-impact, high-ambiguity problems spanning CI/CD pipelines, MCP servers, and AI agents. Your work will directly shape how engineers build and deploy across Abridge. This is a rapidly-evolving role that sits at the intersection of AI, developer experience, platform engineering, and healthcare. This is a hybrid role with a minimum of 3 days / week (MWF) in our San Francisco office. Please only apply if you are able to commit to this model and/or willing to relocate to San Francisco. WHAT YOU’LL DO - Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering. Drive measurable improvements in build/test times, deployment frequency, and onboarding experience. - Design and implement agentic workflows: Build MCP servers, autonomous agents, and AI-assisted tooling that embed AI deeply into the development lifecycle. Help teams integrate these tools effectively into their day-to-day work. - Own the developer experience: Improve the end-to-end developer journey — from local development and testing to deployment and observability. Identify and eliminate friction, treating internal engineers as your customers. - Drive technical excellence: Bring strong systems thinking to architecture and tooling decisions that improve developer ergonomics, feedback loops, and development velocity. - Evaluate and adopt AI tooling: Stay current on AI-powered development tools and guide adoption across the engineering org to deliver measurable productivity gains. WHAT YOU’LL BRING - Strong experience building and evolving CI/CD systems and build tooling (e.g., Bazel, Buck, GitHub Actions, Buildkite, CircleCI). - Hands-on experience with agentic frameworks, MCP servers, LLM tooling, or AI-assisted development workflows. - Experience improving developer experience across local development, CI/CD pipelines, internal tooling, and developer workflows. - Familiarity with production systems in public cloud environments (AWS, GCP, or similar). - Experience with containerized environments, Kubernetes, and modern infrastructure tooling (e.g., ArgoCD, Istio, Atmos). - Strong track record of leveraging AI tools and workflows to materially improve engineering velocity and operational efficiency. - Strong communication skills and ability to collaborate across teams and functions. - Genuine passion for Abridge's mission to improve healthcare in America and across the world. BONUS POINTS IF... - You've built or contributed to an internal developer platform (IDP) at scale. - You have experience with multi-agent orchestration (LangGraph, LangChain, or similar). - You've worked in regulated industries or healthcare environments. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying, interviewing, completing any assessment or otherwise participating in the employee selection process, please contact us at accommodations@abridge.com STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions. ", "summaryDescription" : "Senior / Staff Software Engineer, Agentic Engineering at Abridge. Skills: Agentic infrastructure, AI tooling, CI/CD, Developer experience. Build developer infrastructure. Evolve developer infrastructure", "createdAt" : "2026-06-13T22:55:38.477", "lastUpdated" : "2026-06-15T07:49:52.349", "ingestTimestamp" : "2026-06-13T22:55:38.477", "mongoId" : "6a2d0b4474d8ee00a0accdc0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 290000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Build tooling", "MCP servers", "AI-assisted development", "Infrastructure tooling", "Operational efficiency", "Agentic infrastructure", "AI tooling", "CI/CD", "Developer experience", "Systems thinking", "Developer ergonomics", "Feedback loops", "Development velocity", "Healthcare", "Generative AI", "Clinical documentation", "EMR integrations", "AI for healthcare", "Bazel", "Buck", "GitHub Actions", "Buildkite", "CircleCI", "ArgoCD", "Istio", "Atmos", "LangGraph", "LangChain" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca0f974d8ee00a09a3f59", "title" : "Director, Software Engineering", "company" : "Inovalon", "industry" : "3101 - Software Engineering", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Software Engineering in India, adjusted for the healthcare industry and company size." }, "location" : "BU: Provider", "locations" : [ "BU: Provider" ], "timestamp" : "2026-06-15T07:47:24.938", "fingerprint" : "2a2e6982df32b4da149efc47ddfa8266abf9836d67d52162f12dc134dbf62181", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/inovalon/bc71ca8c-2a0e-499b-8e4a-2e81298b2e9a/application", "externalId" : "bc71ca8c-2a0e-499b-8e4a-2e81298b2e9a", "industryFunction" : { }, "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Process improvement", "Staffing", "Budget planning", "Skills development", "Succession planning", "Performance management", "Talent acquisition", "Talent development" ], "hardSkillsList" : [ "Agile methodologies" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Agile methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Software Engineering Management, People Management, Agile Organization", "majorSkillsList" : [ "Software Engineering Management", "People Management", "Agile Organization" ], "coreResponsibilities" : "Guide managers and teams, Coach managers and teams, Mentor managers and teams, Manage people and practices, Enable self-directed teams, Execute team goals, Provide management leadership, Provide leadership, Achieve company objectives, Ensure project quality, Ensure project delivery, Identify goals, Track metrics, Recommend process improvements, Support organizational capacity, Plan budgets, Plan compensation, Develop skills, Acquire tools, Acquire technologies, Conduct succession planning, Manage staff performance, Approve staff performance, Manage staff discipline, Approve staff discipline, Attract engineering talent, Recruit engineering talent, Retain engineering talent, Develop engineering talent, Embrace Engineering facets, Embrace QA, Embrace DevOps, Work across functional teams, Deliver high-quality product, Automate delivery, Focus on customer needs, Focus on market needs, Share best practices, Ensure organizational effectiveness, Ensure staff understand policies, Ensure staff adhere to policies, Handle escalations, Assist in technology roadmap delivery, Meet defined budget, Represent company in industry groups, Represent company in industry events, Create internal awareness, Create external awareness, Represent company in customer relations, Represent company in supplier relations, Represent company in banker relations, Represent company in government agency relations, Represent company in partner relations, Foster growth mindset, Support employee development, Set professional goals, Attain professional goals, Set development goals, Attain development goals, Coach employees, Mentor employees, Develop team collaboration, Develop Agile practices, Support continuous learning, Maintain compliance with policies, Maintain compliance with procedures, Adhere to confidentiality requirements, Adhere to HIPAA requirements, Fulfill responsibilities, Achieve operational success, Achieve financial success, Participate in on-call rotation, Support critical issues", "teamCollaboration" : "Cross functional teams; Agile organization; Self-organizing teams", "projectManagementSkills" : [ "Agile", "Roadmap planning" ], "domainKnowledge" : "HIPAA requirements", "domainList" : [ "hipaa-requirements" ], "domainSpecificKnowledge" : [ "HIPAA requirements" ], "communicationSkills" : "Verbal communication; Written communication; Motivate teams", "continuousLearning" : "Continuous learning; Professional development", "problemSolvingSkills" : "Decision making under pressure", "specialRequirements" : "On Call Policy, Up to 25% travel, Not eligible for immigration sponsorship, Authorized to work in US", "outcomesObjectives" : "Meet company objectives; Meet defined budget", "qualificationsBasic" : "12+ years professional experience, 6+ years management experience, Bachelor's degree in Computer Science, Equivalent experience", "qualificationsPreferred" : "Prior software engineering experience", "rawDescription" : "Overview: The Director, Software Engineering will guide, coach and mentor managers and teams representing the Software Engineering function for a number of teams, or a small to medium sized product portfolio, towards high performance. This role is primarily focused on the management and development of people and practices and enables self-directed teams to successfully execute their goals within an agile organization in support of corporate vision and strategy. Duties and Responsibilities: - Provide excellence in management and leadership for multiple teams to help achieve company objectives. - Responsible for the overall quality and delivery of multiple projects. - Identify goals and tracking metrics to ensure objectives are met and recommend process improvements. - Support organizational capacity through staffing, budget /compensation planning, skills development, and acquisition of required tools and technologies: - Conduct regular succession planning activities for key roles within the Agile organization; - Manage and approve staff performance and discipline plans; and - Help to attract, recruit, retain and develop top engineering talent. - Embraces all Engineering facets - Engineering, QA & DevOps. - Works closely across functional teams, striving to deliver a high-quality product to market in an automated fashion. - Stay focused on customer / market needs. - Collaborate effectively and routinely share information and best practices across all functions to ensure organizational effectiveness. - Ensure staff understand and adhere to corporate policies and procedures. - Handle escalations that cannot be resolved independently by direct reports and may similarly escalate to more senior management as appropriate. - Assist in delivery of Technology Roadmap while meeting a defined budget. - May represent company in industry groups and events to create internal and external awareness of functional solutions. - May represent company in relations with major customers, suppliers, bankers, government agencies and both channel and alliance partners. - Foster a growth mindset in all employees: - Support employees in setting and attaining professional and development goals; - Coach and mentor employees on career and personal development, team collaboration and Agile practices; and - Support continuous learning. - Maintain compliance with Inovalon’s policies, procedures and mission statement. - Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position. - Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company. - On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs. Job Requirements: - 12+ years of relevant professional experience including prior software engineering experience (preferred) - 6+ years of experience in management of an array of team and department sizes. - Knowledge of the field's concepts, practices and procedures. - Demonstrate a growth mindset, seeks feedback often. - Strong ability to motivate others. - Good coaching and mentoring skills. - Ability to easily build new relationships. - Comfortable with constructive conflict. - Strong verbal and written communication skills. - Ability to clearly communicate and motivate teams toward a common goal. - A leader with a demonstrated ability to support self-organizing teams. - Willingness to take calculated risks. - Ability to make decisions under pressure, and to own the outcome. Education: - Bachelor’s degree in Computer Science, technical field, or equivalent experience. Physical Demands and Work Environment: - Sedentary work (i.e. sitting for long periods of time). - Exerting up to 10 pounds of force occasionally and/or negligible amount of force. - Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions. - Subject to inside environmental conditions. - Travel for this position will include up to 25% locally usually for training purposes. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link https://postings.govdocs.com/#/8sZXnFNWk3KYs3F To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link https://www.inovalon.com/privacy-policy/", "summaryDescription" : "Director, Software Engineering at Inovalon. Skills: Software Engineering Management, People Management, Agile Organization. Guide managers and teams. Coach managers and teams", "createdAt" : "2026-06-13T21:33:44.576", "lastUpdated" : "2026-06-15T07:47:24.938", "ingestTimestamp" : "2026-06-13T21:33:44.576", "mongoId" : "6a2ca0f974d8ee00a09a3f59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile methodologies", "Leadership", "Coaching", "Mentoring", "Software Engineering Management", "People Management", "Agile Organization", "Process improvement", "Staffing", "Budget planning", "Skills development", "Succession planning", "Performance management", "Talent acquisition", "Talent development", "Agile", "Roadmap planning", "HIPAA requirements" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8d74d8ee00a0975cba", "title" : "Senior Software Engineer, Site Reliability Engineering", "company" : "Thumbtack", "industry" : "Engineering", "salary" : { "min" : 170000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer, Site Reliability Engineering in the United States, adjusted for seniority and technology industry." }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-15T11:48:24.868", "fingerprint" : "42a3f88bad0d9733ef5c61baa36a8f489ba1a73cabbbc371602fc25b604e2507", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/7b436f4e-e209-4735-bda5-cd32d60fdb4d/application", "externalId" : "7b436f4e-e209-4735-bda5-cd32d60fdb4d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Go, PHP, Javascript, DNS, TLS, HTTP/S, TCP/IP, AWS, Linux", "professionalSkills" : [ "System design", "Capacity planning", "Demand forecasting" ], "hardSkillsList" : [ "Microservices operation", "Cloud environment operation" ], "hardSkills" : [ { "name" : "Microservices operation", "level" : "intermediate" }, { "name" : "Cloud environment operation", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, Distributed systems, Cloud platform", "majorSkillsList" : [ "Site Reliability Engineering", "Distributed systems", "Cloud platform" ], "coreResponsibilities" : "Design software and systems, Create software and systems, Maintain software and systems, Improve availability, Improve scalability, Improve efficiency, Set architectural direction, Support engineering organization, Design tools for management, Implement tools for management, Design processes for management, Implement processes for management, Troubleshoot critical systems, Debug critical systems, Contribute to evolution, Contribute to performance, Capacity planning, Demand forecasting", "teamCollaboration" : "Collaborate across business; Work with engineering teams; Cross functional collaborative culture", "domainKnowledge" : "Large-scale distributed systems; Web technologies; Microservices", "domainList" : [ "large-scale-distributed-systems", "web-technologies", "microservices" ], "domainSpecificKnowledge" : [ "Large-scale distributed systems", "Web technologies", "Microservices" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "problemSolvingSkills" : "Decompose complex problems; Troubleshoot critical systems; Debug code", "specialRequirements" : "On-call duties", "qualificationsBasic" : "5 years experience managing infrastructure, Extensive AWS fluency, Extensive Linux fluency, Ability to read, write, debug code, Expertise in designing, analyzing, troubleshooting large-scale distributed systems, Ability to decompose complex problems, Demonstrable knowledge of instrumenting, operating, observing distributed system, Ability to communicate clearly and effectively", "qualificationsPreferred" : "Passion for reducing toil, Passion for improving developer experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE SITE RELIABILITY ENGINEERING TEAM Thumbtack's Site Reliability Engineering team focuses on creating and maintaining a reliable, secure, and scalable platform vital for a seamless user experience. As a key contributor, you will design and support resilient systems, prioritizing high performance, availability, and throughput, with a focus on minimizing service disruptions, downtime, and latency. SRE impacts Thumbtack’s ecosystem across the entire stack, from linux systems to applications that drive the customer experience. Our work is high leverage impacting how Engineering, Applied Science, and many other teams deliver, run, and observe systems. THE CHALLENGE The Site Reliability team is responsible for a broad set of technologies and systems with expectations to collaborate across the business. We are expected to develop and enhance existing capabilities while ensuring scalability, reliability and resiliency of infrastructure and software. You’ll work with engineering teams ranging from product development, developer experience, and backend infrastructure to collaboratively build Thumbtack’s ecosystem of platform services that have the right impact at the right time. Thumbtack values its cross functional collaborative culture, and you’d be positioned to contribute to the future direction and success of the engineering platform that serves as the engine of our applications. WHAT YOU’LL DO - Design, create, and maintain software and systems to improve the availability, scalability, and efficiency of Thumbtack's services - Set the architectural direction of infrastructure and platform services while supporting the engineering organization - Design and implement tools and processes used for deployment, change, service, and infrastructure management - Troubleshoot and debug critical systems throughout the SDLC - Contribute to the evolution and performance of capabilities we provide to engineering as a platform organization - Capacity planning and demand forecasting, anticipating performance bottlenecks - Participate in rotating on-call duties IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - Extensive fluency in AWS and Linux - Ability to effectively read, write, and debug code in programming languages like but not limited to: Python, Go, PHP, Javascript - Expertise in designing, analyzing, and troubleshooting large-scale distributed systems across web technologies like: DNS, TLS, HTTP/S, TCP/IP - Ability to decompose complex problems while understanding the tradeoffs necessary to deliver impact - 5 years of experience managing infrastructure and systems - Demonstrable knowledge of instrumenting, operating, and observing a distributed system of microservices in a production cloud environment - Ability to communicate clearly and effectively to cross functional partners of various technical levels - Passion for reducing toil and improving developer experience EXPECTED SALARY RANGES - For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $210,800.00 - $272,800.00 - For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $189,600.00 - $245,300.00 - For candidates living in all other US locations, the expected salary range for this role is currently $179,400.00 - $232,100.00 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Senior Software Engineer, Site Reliability Engineering at Thumbtack. Skills: Site Reliability Engineering, Distributed systems, Cloud platform. Design software and systems. Create software and systems", "createdAt" : "2026-06-13T21:24:57.451", "lastUpdated" : "2026-06-15T11:48:24.868", "ingestTimestamp" : "2026-06-13T21:24:57.451", "mongoId" : "6a2c8c8d74d8ee00a0975cba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Microservices operation", "Cloud environment operation", "Site Reliability Engineering", "Distributed systems", "Cloud platform", "System design", "Capacity planning", "Demand forecasting", "Large-scale distributed systems", "Web technologies", "Microservices" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fab9fc4c40e2acd17a8396", "title" : "Software Development Engineer - AI/ML Manufacturing Automation, Advanced Manufacturing Engineering (AME)", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 165000.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T07:34:28.498", "fingerprint" : "12a94f3b68184788bc03114ec7441ea5cd1a03e589d5ad4e4864a58da3c03a55", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412065/apply", "externalId" : "4f0cad6f-b726-4c3a-86cd-9f9be35cadc7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C, C++, Python, AI/ML, VLM, VLA, LLMs, Computer vision, Deep learning, GenAI", "professionalSkills" : [ "Automation roadmap", "Software development", "Manufacturing automation" ], "hardSkillsList" : [ "Robotic automation", "Process control", "Quality assurance", "Anomaly detection", "Predictive maintenance" ], "hardSkills" : [ { "name" : "Robotic automation", "level" : "intermediate" }, { "name" : "Process control", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Predictive maintenance", "level" : "intermediate" } ], "majorSkills" : "AI/ML, Robotic automation, Agentic workflows", "majorSkillsList" : [ "AI/ML", "Robotic automation", "Agentic workflows" ], "coreResponsibilities" : "Design scalable AI/ML solutions, Build agents transforming requirements, Deploy agentic workflows, Integrate computer vision, Build agentic AI leveraging VLM, Plan manufacturing tasks, Execute manufacturing tasks, Monitor manufacturing tasks, Troubleshoot manufacturing line, Optimize manufacturing line, Perform root cause analysis, Scale solutions with Contract Manufacturers, Document code, Define automation roadmap, Drive manufacturing solutions, Create agentic workflows, Generate artifacts for NPI, Plan automation sequences, Control robotic automation systems, Drive development, Own design, Own implementation, Own deployment", "teamCollaboration" : "Working with AI/ML; Working with 3rd party integrators; Working alongside team members", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Manufacturing automation; New product introduction; Multi-DOF robotic stations; Predictive maintenance; Anomaly detection; Adaptive process control; Automated quality assurance; Multi-agent frameworks", "domainList" : [ "manufacturing-automation", "new-product-introduction", "multi-dof-robotic-stations", "predictive-maintenance", "anomaly-detection", "adaptive-process-control", "automated-quality-assurance", "multi-agent-frameworks" ], "domainSpecificKnowledge" : [ "Manufacturing automation", "New product introduction", "Multi-DOF robotic stations", "Predictive maintenance", "Anomaly detection", "Adaptive process control", "Automated quality assurance", "Multi-agent frameworks" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Document code", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree or foreign equivalent, 5+ years software development experience, 2+ years system design or architecture, 1+ years software development engineer experience, 1+ years C#, C++, Java, or Perl experience, 1+ years Object Oriented Design experience", "qualificationsPreferred" : "3+ years full SDLC experience, Experience with Data & AI technologies, Experience with GenAI, Experience with Analytics, Experience with Database, Experience with Storage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The FactoryAI team is responsible for the development and deployment of agents that automate the workflow from business requirements through factory new product introduction deployment. This involves building agents, working with AI/ML such as VLM/VLA/LLMs that drive robotic automation in manufacturing. Key job responsibilities In this role, you will: - Design scalable AI/ML solutions (C#, C, C++, Python); build agents transforming business requirements into automation sequences for multi-DOF robotic stations. - Deploy agentic workflows for predictive maintenance, anomaly detection, and adaptive process control. - Integrate computer vision and deep learning for AOI, defect classification, and quality assurance. d. Build agentic AI leveraging VLM, VLA, and multi-agent frameworks to plan, execute, and monitor manufacturing tasks. - Troubleshoot and optimize manufacturing line performance; perform root cause analysis. - Scale solutions with Contract Manufacturers. - Document code and specifications; US manufacturing software point of contact. - Define 3-year automation roadmap incorporating AI/ML trends. A day in the life As a Software Development Engineer, you will be responsible for driving world-class manufacturing solutions leveraging AI/ML to create agentic workflows including artifact generation for new product introduction, automation sequence planning, and robotic automation control systems. You will be driving development working alongside team members and 3rd party integrators as the main interface owning the design, implementation, and deployment of manufacturing automation solutions. About the team The FactoryAI team is part of the Advanced Manufacturing Engineering (AME) team responsible for implementing agents to automate the workflow from BRD to Factory deployment of automated solutions. Basic Qualifications: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 5+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "Software Development Engineer - AI/ML Manufacturing Automation, Advanced Manufacturing Engineering (AME) at Amazon.com Services LLC. Skills: AI/ML, Robotic automation, Agentic workflows. Design scalable AI/ML solutions. Build agents transforming requirements", "postedDate" : "2026-06-13T17:17:22.060", "createdAt" : "2026-06-13T17:17:22.060", "lastUpdated" : "2026-06-15T07:34:28.498", "ingestTimestamp" : "2026-06-13T17:17:22.060", "mongoId" : "69fab9fc4c40e2acd17a8396", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412065/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Robotic automation", "Process control", "Quality assurance", "Anomaly detection", "Predictive maintenance", "AI/ML", "Agentic workflows", "Automation roadmap", "Software development", "Manufacturing automation", "Roadmap planning", "New product introduction", "Multi-DOF robotic stations", "Adaptive process control", "Automated quality assurance", "Multi-agent frameworks" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a2d6e7574d8ee00a0be12f1", "title" : "Manager Software Engineering", "company" : "LexisNexis Legal & Professional", "industry" : "Legal", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager Software Engineering in Bengaluru, India, adjusted for seniority, company size, and the legal industry." }, "location" : "Bengaluru", "locations" : [ "Bengaluru", "India" ], "timestamp" : "2026-06-16T02:48:38.056", "fingerprint" : "204746b8da076d0b6d652ccf87af68c6424020f8b40555218c1a2d12b358cf12", "source" : "workday", "language" : "en", "applyUrl" : "https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Bengaluru/Manager-Software-Engineering_R114247", "externalId" : "R114247", "industryFunction" : { }, "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Are you ready for a leading Engineer role?** **Would you enjoy working on our cutting-edge products?** **About our Team:** LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. **About the role:** This role provides strategic and technical leadership to software engineering teams, including onshore, offshore, contractors, and interns, to deliver scalable, secure, and AI-enabled software solutions. The Manager drives execution across the software development lifecycle while evolving teams toward **AI fluency, modern engineering practices, and product-centric thinking**. The position partners closely with product, architecture, data, and business stakeholders to define and deliver high-impact solutions. It is responsible for **building high-performing teams, fostering innovation (including GenAI adoption), and ensuring delivery excellence**. Additionally, this role contributes to **technology strategy, talent development, and organizational transformation** , including the responsible adoption of **Generative AI, automation, and intelligent systems**. **Responsibilities:** **Team Leadership & AI Fluency** * Build and lead high-performing engineering teams with a focus on **AI fluency, continuous learning, and innovation** * Establish a culture of **experimentation, responsible AI usage, and engineering excellence** * Mentor engineers in both **core software engineering and AI-assisted development practices** **Delivery & Execution** * Own end-to-end delivery of software solutions, ensuring **quality, scalability, and reliability** * Drive adoption of **modern SDLC practices, DevOps, and automation** * Oversee planning, execution, and delivery across multiple initiatives and teams **AI & Innovation Strategy** * Identify and drive **Generative AI use cases** to improve products, developer productivity, and operational efficiency * Partner with architecture and data teams to **embed AI capabilities into platforms and services** * Evaluate and adopt emerging technologies aligned with business goals **Architecture & Technical Oversight** * Ensure adherence to **enterprise architecture, security, and engineering standards** * Provide guidance on **system design, data architecture, and integration patterns** * Act as a senior escalation point for complex technical challenges **Stakeholder Engagement** * Partner with product, business, and customers to define **technology strategy and roadmap** * Communicate progress, risks, and outcomes to senior leadership * Translate business needs into scalable technical solutions **Talent & Organizational Development** * Hire, develop, and retain top engineering talent * Foster a culture of **ownership, accountability, and innovation** * Drive upskilling initiatives in **AI, cloud, and modern engineering practices** **Operational Excellence** * Manage budgets, resource allocation, and vendor partnerships effectively * Ensure strong governance across **security, compliance, and responsible AI practices** * Continuously improve engineering processes using data-driven insights **Requirements:** **_QUALIFICATIONS:_** 10+ years of software engineering experience, including modern cloud-native development 3+ years of people leadership experience managing high-performing engineering teams Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred) Demonstrated experience leading **AI/ML or data-driven initiatives** (GenAI exposure strongly preferred) Proven ability to lead **distributed/global teams** and drive outcomes across complex organizations **Engineering & Architecture** * Strong experience with **cloud platforms (AWS, Azure, or GCP)** and modern architectures (microservices, event-driven, APIs) * Proficiency in modern programming languages (e.g., Java, Python, JavaScript/TypeScript) * Deep understanding of **data platforms** , including data modeling, pipelines, and real-time processing * Experience designing **scalable, resilient, and secure systems** **AI / GenAI & Data Fluency** * Working knowledge of **Generative AI concepts** (LLMs, embeddings, prompt engineering, RAG, fine-tuning) * Experience integrating AI capabilities into products or workflows (e.g., copilots, automation, NLP use cases) * Understanding of **AI governance, responsible AI, and model evaluation** * Ability to guide teams in **leveraging AI-assisted development tools** (e.g., coding copilots, test generation, automation) **Software Delivery & DevOps** * Expertise in **Agile, DevOps, CI/CD, and test automation (TDD/BDD)** * Experience with **observability, reliability engineering, and performance optimization** * Familiarity with modern engineering productivity metrics (DORA, SPACE) **Leadership & Execution** * Strong experience with **resource planning, budgeting, and delivery management** * Proven ability to lead **onshore/offshore hybrid models and vendor partnerships** * Skilled in **coaching engineers and developing future leaders** * Ability to **drive organizational change and technology adoption** , especially in AI and automation **Collaboration & Communication** * Excellent communication skills with ability to influence **senior leadership and cross-functional stakeholders** * Strong product mindset with focus on **customer value and business outcomes** * Ability to simplify complex technical concepts for diverse audiences **Working for you:** We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: * Comprehensive Health Insurance: Covers you, your immediate family, and parents. * Enhanced Health Insurance Options: Competitive rates negotiated by the company. * Group Life Insurance: Ensuring financial security for your loved ones. * Group Accident Insurance: Extra protection for accidental death and permanent disablement. * Flexible Working Arrangement: Achieve a harmonious work-life balance. * Employee Assistance Program: Access support for personal and work-related challenges. * Medical Screening: Your well-being is a top priority. * Modern Family Benefits: Maternity, paternity, and adoption support. * Long-Service Awards: Recognizing dedication and commitment. * New Baby Gift: Celebrating the joy of parenthood. * Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. * Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. * Free Transport pick up and drop from the home -office - home (applies in Chennai) **About the business:** LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. **We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click**[** _here_**](https://www.relx.com/careers/join-us/benefits)**to access benefits specific to your location.** We are committed to providing a fair and accessible hiring process. 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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. _**USA Job Seekers:**_ [EEO Know Your Rights](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eeoc.gov%2Fsites%2Fdefault%2Ffiles%2F2023-06%2F22-088_EEOC_KnowYourRights6.12.pdf&data=05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169055021%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=mEoTzyFpKtgiRgZnquZyELr%2FkuMrW4%2F9zYB4HMS4hdI%3D&reserved=0).", "summaryDescription" : "Manager Software Engineering at LexisNexis Legal & Professional", "postedDate" : "2026-06-13T18:56:06.052", "createdAt" : "2026-06-14T18:56:06.038", "lastUpdated" : "2026-06-16T02:48:38.056", "ingestTimestamp" : "2026-06-14T18:56:06.038", "mongoId" : "6a2d6e7574d8ee00a0be12f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Bengaluru/Manager-Software-Engineering_R114247", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8374d8ee00a0975b3a", "title" : "Senior Mechanical Engineer (Advanced Development)", "company" : "WHOOP", "industry" : "Hardware", "salary" : { "min" : 130000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-16T01:52:13.889", "fingerprint" : "9c0b223c5389e72a4c0a21b25c8c13ec95085834d8bfd941724a1af7fb7feba7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/46dfa0fd-1898-4d39-9cd3-9898d64e8340/application", "externalId" : "46dfa0fd-1898-4d39-9cd3-9898d64e8340", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance and health span. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By delivering actionable insights and innovative hardware, WHOOP helps members achieve their goals and push the boundaries of human potential. As a Senior Mechanical Engineer at WHOOP, you will play a pivotal role in advancing the design and development of WHOOP’s innovative hardware solutions. You will push the boundaries of technology by driving product innovation from conceptual prototypes to manufacturing-ready designs. With a strong foundation in prototyping, mechanical fabrication, and advanced experimentation techniques, you will directly influence the future of WHOOP hardware and its ability to unlock human performance. The ideal candidate is a leader in early-stage new product development that draws from a foundation of experience from established electro-mechanical product companies. In this role, you will have the opportunity to shape cutting-edge hardware solutions while growing your technical expertise and leadership skills in a dynamic, fast-paced environment. RESPONSIBILITIES: - - Lead the mechanical design and development of advanced projects to shape the future of WHOOP hardware. - Design and analyze complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release. - Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly. - Design and execute comprehensive testing and validation plans, employing advanced design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability. - Partner with the Hardware Product Team to lead engineering evaluation of new technologies, addressing risks that ensure the success of future NPI programs. - Operate and maintain in-house prototyping tools, including CNC machines, to create proof-of-concept prototypes and support early-stage development. - Mentor colleagues by demonstrating exemplary engineering analysis, clear communication, and full lifecycle project ownership. - Up to 10% travel internationally to contract manufacturers and suppliers. QUALIFICATIONS: - - Bachelor’s degree in Mechanical Engineering or related field. - 5+ years of experience in the design and product release of complex mechanical products for medium to high volume consumer electronics. - Experience with SolidWorks CAD best practices, including advanced assemblies, complex surfacing, configuration management and applying DFx feedback. - Proven expertise in operating and maintaining rapid prototyping machinery to craft proof-of-concept models. - Excellent communication skills with the confidence to distill complex technical concepts into language that can be understood by a wide variety of teams. - Prior experience in high-quality consumer electronics or wearable technologies preferred. - Familiarity with advanced testing methods and statistical analysis tools preferred. - Experience with optical sensing technologies and/or other projects in the physiological monitoring space preferred. - Some experience with high-volume manufacturing processes (e.g., injection molding, die casting, metal injection molding) and manual assembly preferred. - Strong project management skills in fast-paced, cross-functional environments preferred. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $185,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Senior Mechanical Engineer (Advanced Development) at WHOOP", "createdAt" : "2026-06-14T19:29:33.208", "lastUpdated" : "2026-06-16T01:52:13.889", "ingestTimestamp" : "2026-06-14T19:29:33.208", "mongoId" : "6a2c8c8374d8ee00a0975b3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307110f292fd229cff7b11", "title" : "Director of Software Engineering", "company" : "Renesas Electronics", "industry" : "Semiconductors", "salary" : { "min" : 4500000.0, "max" : 7500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Software Engineering in Hyderabad, India, adjusted for seniority, company size, and industry." }, "location" : "Hyderabad, IN", "locations" : [ "Hyderabad", "IN" ], "timestamp" : "2026-06-16T10:09:03.585", "fingerprint" : "bb623768ee3951198481b17484779c1f5dcb7a96c0d2eafe94f3166722ac457e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RenesasElectronics/744000132169530-director-of-software-engineering-ai-ml-", "externalId" : "744000132169530", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "Python, Java, C++, Go, JavaScript, React, Angular, Node.js, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, CI/CD, Microservices, REST APIs, GraphQL, Machine Learning, Data Engineering, Cybersecurity", "professionalSkills" : [ "System design", "Architecture design", "Team leadership", "Mentoring junior engineers", "Strategic planning", "Budget management", "Vendor management", "Cross-functional collaboration" ], "hardSkillsList" : [ "Software architecture", "Cloud infrastructure", "DevOps practices", "Agile methodologies", "Test automation", "Performance tuning", "Security protocols" ], "hardSkills" : [ { "name" : "Software architecture", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Security protocols", "level" : "intermediate" } ], "majorSkills" : "Software Engineering Leadership, Cloud Architecture, DevOps, AI/ML Integration", "majorSkillsList" : [ "Software Engineering Leadership", "Cloud Architecture", "DevOps", "AI/ML Integration" ], "coreResponsibilities" : "Lead and manage software engineering teams, Oversee the design, development, and deployment of software, Define and implement engineering best practices, Drive technical strategy and roadmap, Ensure scalability, reliability, and security of systems, Mentor and develop engineering talent, Collaborate with product management and other stakeholders, Manage project timelines and resources, Foster a culture of innovation and continuous improvement, Oversee cloud infrastructure and DevOps practices, Guide the integration of AI/ML technologies, Ensure adherence to cybersecurity best practices", "teamCollaboration" : "Cross-functional teams; Product management; Stakeholder alignment; Engineering leadership", "projectManagementSkills" : [ "Agile methodologies", "Scrum", "Roadmap planning", "Resource allocation", "Risk management" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems; Microservices architecture; CI/CD principles; AI/ML concepts; Data pipelines; Cybersecurity principles", "domainList" : [ "cloud-native-architecture", "distributed-systems", "microservices-architecture", "ci-cd-principles", "ai-ml-concepts", "data-pipelines", "cybersecurity-principles" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems", "Microservices architecture", "CI/CD principles", "AI/ML concepts", "Data pipelines", "Cybersecurity principles" ], "toolProficiency" : [ "Git", "JIRA", "Jenkins", "Docker", "Kubernetes", "Terraform", "Ansible", "AWS services", "Azure services", "GCP services" ], "communicationSkills" : "Technical presentations; Cross-functional communication; Executive reporting", "documentationSkills" : "Technical documentation; Architecture diagrams; API specifications", "continuousLearning" : "Professional development; Mentorship programs; Industry conferences", "innovationCreativity" : "R&D initiatives; Exploring new technologies; Process improvement", "problemSolvingSkills" : "Root cause analysis; System troubleshooting; Performance optimization; Complex problem solving", "outcomesObjectives" : "Deliver high-quality software on time; Improve system performance and reliability; Enhance team productivity and efficiency; Drive technical innovation; Ensure successful product launches", "qualificationsBasic" : "5+ years of experience in software engineering, 3+ years of experience in a leadership role, Bachelor's degree in Computer Science or related field, Experience with cloud platforms (AWS, Azure, GCP), Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes)", "qualificationsPreferred" : "Master's degree in Computer Science or related field, Experience with AI/ML technologies, Experience with data engineering tools and platforms, Experience with cybersecurity best practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. In this role, you will lead the definition and execution of AI/ML-driven initiatives, drive adoption of ML/AI across frontend and backend design and development flows across the company, enable next-generation intelligent design automation capabilities, and collaborate with cross-functional leaders to integrate AI into engineering productivity, automation, and decision-making processes. Job Responsibilities * Define and own the AI/ML strategy for Engineering group’s software and design flows * Lead the transformation of semiconductor design workflows by deploying AI-driven (agentic) solutions across Frontend (modelling, synthesis, optimization) and Backend (place-and-route, timing closure, physical optimization) * Drive end-to-end integration of AI into engineering toolchains * Establish scalable frameworks for: * Data collection, labelling, and pipeline management * Model training/fine tuning, validation, and deployment * Lead cross-functional collaboration with: * EDA, design, architecture, and platform teams * External vendors and partners as needed * Build and grow a high-performance engineering team * Define KPIs to measure productivity gains, quality improvements, and ROI from AI initiatives * Ensure alignment with enterprise AI programs and governance frameworks * Drive continuous innovation and adoption of emerging AI/ML technologies in semiconductor workflows ## Qualifications * MTech/BTech in EE/CS with 20+ years of software development experience and 10+ years of engineering management experience (including leading managers or large teams) * 7+ years in semiconductor and/or EDA industry * Proven experience in Applying ML/AI to real-world engineering or automation problems * Proven experience building and scaling AI/ML platforms leveraging technologies such as LangChain, vector databases, and RAG-based architectures * Deep understanding of LLM ecosystems, including embeddings, knowledge retrieval, and integration of AI agents into production workflows * Strong understanding of software architecture, distributed systems, Data pipelines and ML workflows * Demonstrated ability to Lead cross-functional initiatives and translate business/engineering needs into technical solutions * Should have exposure to quality processes for project execution, delivery, and working with multiple teams across geos * Strong communication skills for executive-level engagement * Preferred Hands-on experience with EDA tools, chip design flows, or semiconductor development lifecycle * Prior Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or similar) is a plus * Prior experience building AI-driven solutions for Design optimization and Automation/ productivity improvement is preferred * Familiarity with Cloud platforms and scalable compute infrastructure and Data-driven decision systems is preferred ## Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: * Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. * Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. * Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our [Diversity & Inclusion Statement](https://jobs.renesas.com/diversity-and-inclusion).", "summaryDescription" : "Director of Software Engineering at Renesas Electronics. Skills: Software Engineering Leadership, Cloud Architecture, DevOps, AI/ML Integration. Lead and manage software engineering teams. Oversee the design, development, and deployment of software", "postedDate" : "2026-06-15T10:58:37.000", "createdAt" : "2026-06-16T01:31:31.893", "lastUpdated" : "2026-06-16T10:09:03.585", "ingestTimestamp" : "2026-06-16T01:31:31.893", "mongoId" : "6a307110f292fd229cff7b11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software architecture", "Cloud infrastructure", "DevOps practices", "Agile methodologies", "Test automation", "Performance tuning", "Security protocols", "Software Engineering Leadership", "Cloud Architecture", "DevOps", "AI/ML Integration", "System design", "Architecture design", "Team leadership", "Mentoring junior engineers", "Strategic planning", "Budget management", "Vendor management", "Cross-functional collaboration", "Scrum", "Roadmap planning", "Resource allocation", "Risk management", "Cloud-native architecture", "Distributed systems", "Microservices architecture", "CI/CD principles", "AI/ML concepts", "Data pipelines", "Cybersecurity principles", "Git", "JIRA", "Jenkins", "Docker", "Kubernetes", "Terraform", "Ansible", "AWS services", "Azure services", "GCP services" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "software engineering apprenticeship advanced mid senior track jobs", "metadata" : { "title" : "software engineering apprenticeship advanced mid senior track" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 126853, "totalPages" : 2538, "hasNext" : true, "hasPrevious" : false } }

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