{ "count" : 89274, "data" : [ { "id" : "6a2a875a74d8ee00a067dff9", "title" : "Staff Engineer, Advanced Cores Design Evaluation Engineering", "company" : "Analog Devices", "industry" : "Semiconductor", "salary" : { "min" : 11.0, "max" : 11.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US, MA, Wilmington", "locations" : [ "US, MA, Wilmington", "United States of America" ], "timestamp" : "2026-06-14T21:28:49.196", "fingerprint" : "2145b3fb51a107097004fb1352da0e29ca37a08456476751ddaf3987f7e1646a", "source" : "workday", "language" : "en", "applyUrl" : "https://analogdevices.wd1.myworkdayjobs.com/External/job/US-MA-Wilmington/Staff-Engineer--Advanced-Cores-Design-Evaluation-Engineering_R262371", "externalId" : "R262371", "industryFunction" : { }, "locationPoint" : "16.84762,95.98229", "structuredLocations" : [ { "city" : "Wilmington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5464828,-71.1736669" } ], "locationText" : "Wilmington, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, MATLAB, LabVIEW, C/C++, RF, Analog circuits, Mixed-signal systems, ADCs, DACs, SERDES, Embedded software", "professionalSkills" : [ "Product engineering", "System solutions", "Testability recommendations", "Manufacturability recommendations", "Qualification support" ], "hardSkillsList" : [ "RF testing", "Mixed-signal testing", "Performance testing", "Silicon testing", "Embedded software testing", "RF measurement", "Analog measurement", "Digital measurement", "Data analysis" ], "softSkillsList" : [ "Leadership", "Problem-solving" ], "hardSkills" : [ { "name" : "RF testing", "level" : "intermediate" }, { "name" : "Mixed-signal testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Silicon testing", "level" : "intermediate" }, { "name" : "Embedded software testing", "level" : "intermediate" }, { "name" : "RF measurement", "level" : "intermediate" }, { "name" : "Analog measurement", "level" : "intermediate" }, { "name" : "Digital measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Problem-solving" } ], "majorSkills" : "Converter technologies, SERDES technologies, RF testing, Mixed-signal systems", "majorSkillsList" : [ "Converter technologies", "SERDES technologies", "RF testing", "Mixed-signal systems" ], "coreResponsibilities" : "Lead evaluation of ADCs, Lead characterization of ADCs, Lead evaluation of DACs, Lead characterization of DACs, Lead evaluation of high-speed serial interfaces, Lead characterization of high-speed serial interfaces, Debug mixed-signal systems, Analyze mixed-signal systems, Debug RF systems, Analyze RF systems, Document findings, Present findings, Perform functional testing, Perform performance testing, Ensure readiness for production, Develop test solutions, Automate test solutions, Establish RF performance metrics, Establish analog performance metrics, Establish digital performance metrics, Provide testability recommendations, Provide manufacturability recommendations, Provide qualification support, Support field quality initiatives, Interface with design teams, Interface with applications teams, Interface with marketing teams, Engage with customers, Resolve product issues, Analyze measurement data, Contribute to system-level solutions", "teamCollaboration" : "Cross-functional teams; 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(NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). **Staff Design Evaluation Engineer** **About the Role** Join our industry‑leading product engineering team advancing next‑generation converter and SERDES technologies. As a Staff Engineer, you will be a key technical leader responsible for evaluating, characterizing, and validating the performance of advanced ADC, DAC, and SERDES IP. Your work will directly enable business units across ADEF, Instrumentation, Communications, and Data Center systems to design cutting‑edge modules and system solutions. This role demands deep technical expertise, hands‑on lab proficiency, and close collaboration with design, test, applications, and marketing teams to ensure robust, high‑performance products. **Key Responsibilities** * Lead evaluation and characterization of ADCs, DACs, and high-speed serial interfaces for cutting-edge transceiver products. * Debug and analyze complex mixed-signal and RF systems across all operating conditions; document and present findings to design and cross-functional teams. * Perform functional and performance testing of new silicon and embedded software, ensuring readiness for production release. * Develop and automate test solutions using Python, MATLAB, LabVIEW, and other programming tools for RF and mixed-signal verification. * Utilize precision measurement equipment (network analyzers, spectrum analyzers, oscilloscopes, signal generators) to establish RF, analog, and digital performance metrics. * Provide recommendations on testability, manufacturability, and qualification readiness; support field quality initiatives. * Interface as a central resource with design, applications, and marketing teams; engage directly with customers to resolve product issues. * Analyze measurement data and contribute to system-level solutions for transceiver products. **Minimum Qualifications** * BS or MS in Electrical Engineering or related field, with **5 + years of industry experience** in RF/mixed-signal product engineering. * Proven expertise in automating RF tests and working with advanced lab equipment (network analyzers, spectrum analyzers, signal generators, oscilloscopes). * Strong programming and debug skills in Python, MATLAB, LabVIEW, and familiarity with C/C++ or similar languages. * Deep knowledge of analog and RF circuits, high-speed serial interfaces, ADCs/DACs, and mixed-signal systems. * Strong analytical and problem-solving skills; ability to manage multiple priorities in a fast-paced environment. * Excellent communication skills and ability to work effectively in multi-disciplinary, global teams. **Why You’ll Love Working at ADI** At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. Your expertise will shape the future of technology, and you’ll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect. #LI-PG1 _For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process._ _Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group._ _EEO is the Law:[Notice of Applicant Rights Under the Law](https://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf)._ Job Req Type: Experienced Required Travel: No Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $131,285 to $190,108. * Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. * This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. * This position includes medical, vision and dental coverage, 401k, paid vacation, **holidays, and sick time** , and other benefits.", "summaryDescription" : "Staff Engineer, Advanced Cores Design Evaluation Engineering at Analog Devices. Skills: Converter technologies, SERDES technologies, RF testing, Mixed-signal systems. Lead evaluation of ADCs. 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The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! About this Role What makes this opportunity so attractive to a candidate? (tailor to the role) Why join the team? (use keyword but avoid acronyms and abbreviations) How do you sell this job in your job? How does it impact the business? Responsibilities *Place responsibilities of the role here (present tense and conversational* Deliver… Responsible for …. Create and maintain … Support… Manage… Qualifications *Place requirements of the role here (present tense and conversational). Minimum qualifications are those an applicant must possess to be considered a candidate for the position. Preferred Qualifications In addition to the main qualifications - Not required for an applicant to be considered a candidate for the position. They are desired qualifications above and beyond the minimums that demonstrate additional experience, education, or credentials. They are seen as “nice to have” qualities that will lead to a higher level of success for the applicant during the interview and consequently performing the job if the person is hired. We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $154,000—$171,000 CAD Benefits Comprehensive Health Care Plan (Medical, Dental & Vision) Retirement Savings Matching Program Life Insurance (Basic, Voluntary & AD&D) Generous Time Off (Vacation, Sick & Public Holidays) Paid Family Leave Short Term & Long Term Disability Training & Development Commuter Benefits Flexible, hybrid workplace model Equity grants (applicable to full-time employees) Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Export Control Candidates should have capacity to comply with the federally mandated requirements of U. 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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. * Design optimized digital blocks meeting functional, cost and low power constraints and ensure spec compliance. * Cover digital backend design from synthesis, upf, static timing analysis and logic equivalent checking. * Interface with P&R for digital hand-off and post layout verification. * Collaboration with analog engineers and test engineers on analog testability design and debugging. * Work closely with Application/GUI team in FPGA prototype and lab debugging. * Perform physical silicon device evaluation where necessary. ## Qualifications * 7+ years of experience in ASIC/IC design with deep knowledge of whole IC design flow from RTL coding, synthesis, static timing analysis, logic equivalent checking to post-layout checking. * Experience in DFT or physical design is a plus. * Experience in FPGA prototype and lab equipment and lab debug is a plus. * Fluent in either Verilog RTL coding and ASIC design methodology. * Competence in developing design constraints for synthesis, STA and P&R handoff. * Ability to work both independently and part of a team. * Excellent interpersonal, organizational and communications skills. ## 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, disabilities, military status, veteran status, or any other basis protected by law. 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Algorithm development; Simulation models", "specialRequirements" : "Proof of U.S. Citizenship, US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside or outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Regular attendance, Work outside normal schedule, Adjust schedule, Professional behavior, Grooming and dress appropriate", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience, Experience with orbital mechanics, Designing spacecraft trajectories, Experience with algorithm development, Analyzing spacecraft performance, Developing simulation models, Verifying simulation models, Validating simulation models, Excellent communication skills, Experience in a team environment, Interpersonal skills, Ability to organize tasks, Ability to prioritize tasks, Ability to prepare written documents, Ability to verbally present, Experience with Microsoft Office", "qualificationsPreferred" : "5 years of related engineering experience, Master's degree and 4 years experience, PhD and 0 years experience, PhD in Aerospace Engineering, Focus on trajectory design, Focus on optimization, Focus on orbital mechanics, Experience with 3-DOF simulations, Proficiency in Modern Fortran, Proficiency in Python, Proficiency in C++, Proficiency in bash, Proficiency in Julia, Experience with conda/mamba, Experience with OpenSceneGraph, Experience with OpenGL, Experience with OpenFrames, Experience with GUI development, Experience with Python and Qt, Experience with multiple operating systems, Experience with product delivery, Experience with product management, Experience with Git/GitLab, Experience with GitlabCI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Advanced Mission Design Engineer to join the team with Intuitive Machines, a teammate company. This position is on the JETS Advanced Mission Design Team providing mission analysis and design across the Orion and commercial crew programs. The Advanced Mission Design Engineer will: Provide trajectory products supporting spacecraft mission design & analysis for advanced Orion crewed missions such as Artemis I-III and related missions. Perform trajectory optimization runs to characterize vehicle performance and mission availability for a variety of scenarios. Develop, integrate, and test new algorithms for evaluation of vehicle and mission performance. Provide software development and scripting of NASA's Copernicus trajectory optimization tool and related applications. Integrate Copernicus with other trajectory software and tools. Develop requirements documentation for mission design products. Provide recommendations for improvements in design and software development processes. Perform other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and a minimum of 2-5 years of experience in the field or in a related area. Experience with orbital mechanics and designing spacecraft trajectories. Experience with development of spacecraft mission design algorithms and analyzing spacecraft performance. Experience developing, verifying, and validating simulation models. Excellent communication skills Experience working in a team environment consisting of NASA civil servants and contractors. Strong interpersonal skills to enable successful performance in a collaborative environment. Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision. Ability to prepare written documents and to verbally present at meetings. Experience with Microsoft Office products. Requisition Preferences: A bachelor's degree in engineering from an ABET accredited engineering school with five (5) years of related engineering experience, a master's degree from an accredited engineering school and four (4) years of related engineering experience, or a Ph.D. from an accredited engineering school and zero (0) years of related experience. PhD in Aerospace Engineering with a focus on trajectory design, optimization, and orbital mechanics Experience with 3-DOF spacecraft simulations Proficiency in software development using programming languages such as Modern Fortran, Python, C++, bash, and Julia. Experience with Python package management systems such as conda/mamba Experience with 3D graphics libraries such as OpenSceneGraph, OpenGL, and OpenFrames. Experience with GUI development in Python and Qt Experience with multiple operating systems such as Windows, macOS Linux Experience with product delivery and management Experience with source code management tools such as Git/GitLab and continuous integration systems such as GitlabCI Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Advanced Mission Design Engineer at Intuitive Machines. Skills: Mission design, Trajectory optimization, Spacecraft trajectories, Software development. Provide trajectory products. Support spacecraft mission design", "createdAt" : "2026-06-14T02:40:04.267", "lastUpdated" : "2026-06-15T11:36:52.892", "ingestTimestamp" : "2026-06-14T02:40:04.267", "mongoId" : "69ce5e1f9bc74574cb6752f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Trajectory design", "Trajectory optimization", "Spacecraft simulations", "Software development", "Scripting", "Interpersonal skills", "Mission design", "Spacecraft trajectories", "Mission analysis", "Vehicle performance", "Mission availability", "Requirements documentation", "Process improvement", "Product delivery", "Product management", "Organize tasks", "Prioritize tasks", "Meet deadlines", "Meet schedules", "Human space exploration", "Orbital mechanics", "Deep space exploration", "Artemis missions", "3-DOF spacecraft simulations", "Copernicus", "Microsoft Office", "Conda", "Mamba", "OpenSceneGraph", "OpenGL", "OpenFrames", "Qt", "Git", "GitLab", "GitlabCI" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1057.2375, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5d8d9bc74574cb6682d4", "title" : "Staff / Principal Advanced Packaging Engineer", "company" : "Bitdeer Technologies Group", "industry" : "Manufacturing", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff/Principal Advanced Packaging Engineer in Penang, Malaysia, adjusted for the technology industry and company size." }, "location" : "Penang, MY", "locations" : [ "Penang", "MY", "Singapore" ], "timestamp" : "2026-06-16T04:39:58.203", "fingerprint" : "06c9acb54ee3acaaa4187638d2f82db7c641bcebce3ed4509b05d95f13166b45", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bitdeer.breezy.hr/p/09787f526aa5-staff-principal-advanced-packaging-engineer", "externalId" : "09787f526aa5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Penang", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "5.4065013,100.2559077" } ], "locationText" : "Penang, Malaysia", "employmentType" : "FULL_TIME", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Staff / Principal Advanced Packaging Engineer at Bitdeer Technologies Group", "createdAt" : "2026-06-14T21:03:18.112", "lastUpdated" : "2026-06-16T04:39:58.203", "ingestTimestamp" : "2026-06-14T21:03:18.112", "mongoId" : "69ce5d8d9bc74574cb6682d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 1056.1637, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f4c74d8ee00a09550f3", "title" : "Staff Water Design Engineer", "company" : "WSC", "salary" : { "min" : 110000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Staff Water Design Engineer in Ontario, United States, adjusted for industry and company size." }, "location" : "Laguna Hills ", "locations" : [ "Laguna Hills", "Ontario", "California", "United States", "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T02:18:07.185", "fingerprint" : "806f4fef7c2035262b7ef7d9296cd28c54f9ae8831d9e890953212cfcc53c375", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/watersystemsconsulting/jobs/8438634002", "externalId" : "8438634002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ontario", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0658460,-117.6484300" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "Laguna Hills", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.5948758,-117.6882067" } ], "locationText" : "Ontario, California, United States; San Diego, California, United States; Laguna Hills, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Want to be part of an engineering and strategic communications consulting firm that defines success by the strength of its relationships with its clients and staff? A firm that invests in its people and fosters an entrepreneurial culture that leads to innovation for our clients, communities and environment? If so, please read on. WSC is a premier engineering and communications consulting firm focused exclusively on water. Our team of expert engineers and communicators is recognized for delivering planning, design, program management, construction management, and energy solutions for municipalities, public and private utilities, special districts, energy providers, and more throughout California and the Pacific Northwest. As a next-generation consulting leader, WSC meets clients where they are, providing insight and redefining possibilities through a high standard of hands-on service, innovation, quality, and visionary leadership. We are seeking a Staff Engineer to collaborate with designers, planners, project managers, strategic communicators, and technical leaders on vital water, wastewater, and recycled water infrastructure projects. Under the mentorship of senior engineers, planners, and project managers, you will gain hands-on experience across a variety of challenging and exciting planning, design, and optimization projects.This position is hybrid and can be based out of one of our Southern California Offices in San Diego, Ontario, and Laguna Hills. What You Will Do You will be a part of multi-disciplinary teams that plan, design, and optimize water infrastructure. You will support water, wastewater and/or recycled water design and planning projects, including development of scope, budget, and schedule. You will serve in a Project Manager, Assistant Project Manager, and/or Project Engineer role based on your level of experience. This position will be based out of one of our Southern California locations in Ontario, San Diego, or Laguna Hills with a flexible hybrid work option. This position may require some travel throughout California, Oregon, and Washington. What You Bring Bachelor’s degree in Civil/Environmental Engineering or related engineering field; Master’s degree preferred or enrollment in a Master’s program. Experience delivering successful and collaborative project performance that achieves clients’ goals, including cost-effective, sustainable, energy-efficient, operator-friendly, and innovative valuable outcomes. Demonstration of understanding and defining project goals and requirements. Team first mindset. You enjoy collaborating, learning from, and teaching others, and are active in creating a positive team dynamic. Active participant in related professional associations, preferred, and knowledge of the latest industry trends. Desire to operate with freedom and accountability. A willingness to take risks and ownership of those risks. Strong verbal and written communication skills, including experience writing proposals and presentations, technical memoranda, reports, drawings, specifications, and miscellaneous project documents. Project workshop leadership, facilitation of alternatives analysis evaluation and decision making. Development of sustainable solutions and alternative project delivery methods a plus. Ability to serve as a dedicated and effective client service partner and demonstrate responsiveness, clear communication, quality delivery, mindful listening, and problem-solving skills. AutoDesk Civil 3D or BIM/Revit design experience is a plus. 3-5 years of experience in planning, design and/or construction of water, wastewater and or recycled water facilities. E.I. T. registration or the ability to obtain registration within one year. P. E. registration or ability to obtain within one year is a plus. Passionate about mentoring and advocating within our team. Salary Range: The salary range for this position is annually and may be $75,000 - $110,000 more or less depending on experience. Who We Are At WSC, we foster a people-centric culture where we care deeply about client relationships and see our coworkers as part of a big family. We have received recognition as one of the Best Places to Work and as a Fast-Growing Firm by Inc. Magazine’s national workplace survey and our staff. We believe there are always opportunities to learn, grow, and advance, and we prioritize supporting each other in that process. We make it easy for you to enjoy the work you love by providing great benefits. With an attractive compensation package including competitive salary, 401(k) plan, ESOP (employee stock ownership plan), employer paid short- and long-term disability, holiday pay, generous paid time off, tuition reimbursement, fitness, and health benefits program, we have you covered! Learn more about the benefits we offer Employee Benefits - WSC WSC is committed to growing our network of people, programs, and resources to nurture an inclusive culture. As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee's race, color, ethnicity, national origin, citizenship, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, generic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws", "summaryDescription" : "Staff Water Design Engineer at WSC", "postedDate" : "2026-06-14T21:31:06.452", "createdAt" : "2026-06-14T21:31:06.452", "lastUpdated" : "2026-06-16T02:18:07.185", "ingestTimestamp" : "2026-06-14T21:31:06.452", "mongoId" : "6a2c7f4c74d8ee00a09550f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1023.5539, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d6c5874d8ee00a0bdce12", "title" : "Staff Engineer, system design engineering", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 215000.0, "max" : 315000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Engineer, Lead seniority, and technology industry in Milpitas, CA." }, "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "timestamp" : "2026-06-15T08:34:37.450", "fingerprint" : "1a38cb50ee13c8861d29d572dc6ed80fde604b36eae91ffe5317c1e8e863022d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131991375-staff-engineer-system-design-engineering", "externalId" : "744000131991375", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Shell scripts, Python, C/C++, GPU architecture, CPU architecture, AI frameworks, GPU computing, Distributed inference", "professionalSkills" : [ "System design", "Performance characterization", "Validation strategies", "Scalability", "Latency", "Throughput", "Power efficiency", "Cost-performance metrics" ], "hardSkillsList" : [ "Performance tuning", "Data movement costs" ], "hardSkills" : [ { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data movement costs", "level" : "intermediate" } ], "majorSkills" : "AI infrastructure, Benchmark tests, Performance validation, LLM inference", "majorSkillsList" : [ "AI infrastructure", "Benchmark tests", "Performance validation", "LLM inference" ], "coreResponsibilities" : "Design benchmark tests, Define benchmark tests, Implement benchmark tests, Enable benchmark tests, Understand AI workloads, Understand system architectures, Understand performance methodologies, Work with Marketing, Work with Product Management, Work with System Architecture teams, Understand benchmark requirements, Translate use cases, Develop benchmark proposals, Define evaluation methodologies, Execute performance studies, Select benchmark frameworks, Optimize benchmark frameworks, Configure AI software stacks, Validate hardware performance, Validate software performance, Analyze compute bottlenecks, Analyze memory bottlenecks, Analyze storage bottlenecks, Analyze networking bottlenecks, Generate performance reports, Evaluate AI workloads, Compare scalability, Compare latency, Compare throughput, Compare power efficiency, Compare cost-performance, Enable emerging AI models, Enable benchmark suites, Enable infrastructure technologies, Ensure reproducibility, Ensure automation, Ensure continuous benchmarking, Research PCIe SSD debug, Implement PCIe SSD debug, Validate PCIe SSD debug, Work with cross-functional teams, POC discussions, Architecture discussions", "teamCollaboration" : "Cross-functional teams; Internal partners; External partners", "domainKnowledge" : "AI workloads; AI infrastructure; LLM inference; Retrieval-Augmented Generation; Speech AI; Vision AI; Multimodal AI; Recommendation systems; Image Generation; Video Generation; Vector DB; KV cache; Edge platforms", "domainList" : [ "ai-workloads", "ai-infrastructure", "llm-inference", "retrieval-augmented-generation", "speech-ai", "vision-ai", "multimodal-ai", "recommendation-systems", "image-generation", "video-generation", "vector-db", "kv-cache", "edge-platforms" ], "domainSpecificKnowledge" : [ "AI workloads", "AI infrastructure", "LLM inference", "Retrieval-Augmented Generation", "Speech AI", "Vision AI", "Multimodal AI", "Recommendation systems", "Image Generation", "Video Generation", "Vector DB", "KV cache", "Edge platforms" ], "toolProficiency" : [ "Profiling tools", "Performance monitoring tools" ], "documentationSkills" : "Performance reports", "innovationCreativity" : "Innovate benchmarks", "problemSolvingSkills" : "Analyze bottlenecks; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience, Master's degree in Computer Science, 2+ years of experience, Experience with different Operating Systems, Scripting and/or programming languages, AI Infrastructure & Hardware Awareness, Experience in Performance & Benchmarking, Debugging knowledge on performance bottlenecks, Experience in deriving data movement costs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The ideal candidate will be responsible for designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments. The individual will work closely with Marketing, Product Management and System Architecture teams to understand benchmark requirements and translate business and customer use cases into measurable performance validation strategies. The candidate will develop benchmark proposals, define evaluation methodologies, and execute performance studies for a wide range of AI applications, including Chat Assistants and LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, and Image/Video Generation workloads. Responsibilities include selecting and optimizing benchmark frameworks, configuring AI software stacks, validating hardware and software performance, analyzing bottlenecks across compute, memory, storage, and networking subsystems, and generating detailed performance reports with actionable insights. The candidate will evaluate AI workloads across different hardware configurations such as GPUs, CPUs, accelerators, high-speed interconnects, NVLink/NVSwitch fabrics, storage architectures, and network fabrics to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. The role also involves collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies, while ensuring reproducibility, automation, and continuous benchmarking capabilities within AI lab environments. Strong analytical, scripting, and performance tuning skills are essential, along with hands-on experience in AI frameworks, GPU computing, distributed inference environments, and performance monitoring tools. Essential Duties and Responsibilities: •Design & Validate AI Infrastructure for Benchmarks •Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests •Define and Perform Benchmark tests for AI workloads on storage systems •Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines •Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models •Design Benchmarks for Vector DB & KV cache •Optimize Data pipelines for Inference and training •Analyze Benchmark results, document and publish with recommendations Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure. Work with cross-functional teams for POC and architecture discussions for validation infrastructure. ## Qualifications Required: * Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Skills : * Experience with different Operating Systems (Windows, Linux, VMware). * Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. * AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics * Experience in Performance & Benchmarking – profiling tools, system bottlenecks * Debugging knowledge on performance bottlenecks in AI pipelines * Experience in deriving data movement costs on Edge platforms ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 08/12/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Staff Engineer, system design engineering at Sandisk. Skills: AI infrastructure, Benchmark tests, Performance validation, LLM inference. Design benchmark tests. 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Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE We're hiring a Design Engineer to help shape the future of music creation by bringing product experiences to life through both design and code. This is a highly collaborative role sitting at the intersection of Product Design and Engineering, focused on turning ideas into polished, interactive experiences that delight millions of users. You'll partner closely with other designers, product managers, and engineers to prototype, build, and refine user-facing features across our web and mobile platforms. We care deeply about craft, speed, and experimentation, and we're looking for someone who is equally excited about designing interfaces as they are about implementing them. If you're passionate about creating exceptional consumer products and love working where design and engineering overlap, we'd love to hear from you. Listen to the song we made about it: https://suno.com/s/wocaJrca6E4RjJok WHAT YOU'LL DO - Take ideas end-to-end from conception to production. You drive creation whether it's collaboration in Figma, a novel proof of concept, or the code that turns concept into reality. - Strike a balance between proactive ownership and autonomy with a deeply collaborative spirit, working closely with Product, Engineering, Marketing, and others. - Hold an incredibly high standard for quality and craft. You care about the little details (pixel-perfection, microinteractions, motion design) that add up to excellence. - Think in systems and patterns. You’ll help establish our design system to ensure consistency and quality across Product Design and Engineering. - Experiment rapidly with AI-powered workflows and creative tools that push the boundaries of what the team can accomplish together. WHAT YOU'LL NEED - 5+ years (Senior) or 7+ years (Staff) of experience designing and building exceptional consumer products. Your portfolio showcases thoughtful design and shipped product experiences. - Mobile UI expertise. You craft delightful interfaces with iOS frameworks like SwiftUI and UIKit, and anything else that helps you design and build best-in-class mobile experiences. - A bias for action. You thrive as a self-starter in a fast-paced environment where you can wear many hats and bring your ideas to life. - Comfort with ambiguity. You’re always learning and growing, and can help bring clarity to a fast-moving problem space with more questions than answers. - A love for music (listening, exploring, making) is a huge plus. ADDITIONAL NOTES - This is an in-person role working at our NYC ofice. - Applicants must be eligible to work in the US. COMPENSATION The annual salary range for this role is $220K – $280K + target equity + benefits (including medical, dental, vision, and 401k) PERKS & BENEFITS - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. 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Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE We're hiring a Design Engineer to help shape the future of music creation by bringing product experiences to life through both design and code. This is a highly collaborative role sitting at the intersection of Product Design and Engineering, focused on turning ideas into polished, interactive experiences that delight millions of users. You'll partner closely with other designers, product managers, and engineers to prototype, build, and refine user-facing features across our web and mobile platforms. We care deeply about craft, speed, and experimentation, and we're looking for someone who is equally excited about designing interfaces as they are about implementing them. If you're passionate about creating exceptional consumer products and love working where design and engineering overlap, we'd love to hear from you. Listen to the song we made about it: https://suno.com/s/wocaJrca6E4RjJok WHAT YOU'LL DO - Take ideas end-to-end from conception to production. You drive creation whether it's collaboration in Figma, a novel proof of concept, or the code that turns concept into reality. - Strike a balance between proactive ownership and autonomy with a deeply collaborative spirit, working closely with Product, Engineering, Marketing, and others. - Hold an incredibly high standard for quality and craft. You care about the little details (pixel-perfection, microinteractions, motion design) that add up to excellence. - Think in systems and patterns. You’ll help establish our design system to ensure consistency and quality across Product Design and Engineering. - Experiment rapidly with AI-powered workflows and creative tools that push the boundaries of what the team can accomplish together. WHAT YOU'LL NEED - 5+ years (Senior) or 7+ years (Staff) of experience designing and building exceptional consumer products. Your portfolio showcases thoughtful design and shipped product experiences. - Mobile UI expertise. You craft delightful interfaces with iOS frameworks like SwiftUI and UIKit, and anything else that helps you design and build best-in-class mobile experiences. - A bias for action. You thrive as a self-starter in a fast-paced environment where you can wear many hats and bring your ideas to life. - Comfort with ambiguity. You’re always learning and growing, and can help bring clarity to a fast-moving problem space with more questions than answers. - A love for music (listening, exploring, making) is a huge plus. ADDITIONAL NOTES - This is an in-person role working at our NYC ofice. - Applicants must be eligible to work in the US. COMPENSATION The annual salary range for this role is $220K – $280K + target equity + benefits (including medical, dental, vision, and 401k) PERKS & BENEFITS - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. 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Senior engineers", "domainKnowledge" : "Distributed systems; Autonomous agents; Reliability engineering; Program synthesis; Large-scale infrastructure; Runtime execution environments; Verification and correctness; AI-powered software creation; Non-deterministic systems", "domainList" : [ "distributed-systems", "autonomous-agents", "reliability-engineering", "program-synthesis", "large-scale-infrastructure", "runtime-execution-environments", "verification-and-correctness", "ai-powered-software-creation", "non-deterministic-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Autonomous agents", "Reliability engineering", "Program synthesis", "Large-scale infrastructure", "Runtime execution environments", "Verification and correctness", "AI-powered software creation", "Non-deterministic systems" ], "innovationCreativity" : "Invent solutions", "problemSolvingSkills" : "First-principles thinking; Solving ambiguous problems", "qualificationsBasic" : "9+ years building large-scale distributed systems, Experience owning architecture for critical production infrastructure, Deep expertise in concurrency, Deep expertise in distributed computing, Deep expertise in reliability, Deep expertise in performance, Deep expertise in fault tolerance, History of driving technical strategy across multiple teams, Backend expertise in Go, Backend expertise in Python, Backend expertise in Java, Backend expertise in C++, Backend expertise in Rust", "qualificationsPreferred" : "Experience with AI systems is helpful", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Software engineering is about to change more in the next five years than it has in the last fifty. At Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent. Not copilots. Not code-completion tools. Complete software systems. Since launching publicly, Emergent has grown to: $100M ARR in under 8 months 11 Million+ users across 190+ countries 12 Million+ applications built on the platform $100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator We're now tackling the hardest problems in AI-powered software creation: How do autonomous agents reliably build production systems? How do we verify correctness when outputs are non-deterministic? How do we build trust, safety, observability, and fault tolerance into systems that reason? How do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time? These aren't solved problems. There are no playbooks. That's why we're hiring. The Opportunity This is not a traditional Staff Engineer role. You won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure. You will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself. You'll work on problems at the intersection of: Distributed systems Autonomous agents Reliability engineering Program synthesis Large-scale infrastructure Runtime execution environments Verification and correctness The systems you build will influence how millions of applications are created. What You'll Own Architect Agent Infrastructure Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve. Build for Planetary Scale Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads. Solve Reliability for Non-Deterministic Systems Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply. Drive Technical Direction Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems. Create New Engineering Paradigms Many of the challenges you'll face don't have established solutions. You'll be expected to invent them. Raise the Bar Influence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organizations in the industry. What We're Looking For We're less interested in specific technologies and more interested in how you've thought about hard systems problems. You likely have: 9+ years building large-scale distributed systems Experience owning architecture for critical production infrastructure Deep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance A history of driving technical strategy across multiple teams Strong backend expertise in Go, Python, Java, C++, Rust, or similar languages You may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups. Experience with AI systems is helpful but not required. Exceptional systems engineers learn fast. Who Thrives Here Engineers who prefer first-principles thinking over established playbooks Builders who want ownership rather than coordination People who enjoy solving ambiguous, unsolved technical problems Engineers who optimize for impact, not titles Individuals who want to help define an entirely new category of software Why This Role Exists The software industry spent decades building tools that help engineers write code. We're building systems that write software. If successful, this will be one of the most important platform shifts in computing. You'll help build the foundation. Compensation Top-of-market salary Employee stock options Direct influence on company and technical direction Opportunity to work alongside repeat founders, Olympiad medalists, and engineers from Google, Amazon, Dropbox, and leading AI companies The best time to join a category-defining company is before the category is defined.", "summaryDescription" : "Staff Engineer at Emergent Labs. Skills: Distributed systems, Autonomous agents, Reliability engineering, Program synthesis, Large-scale infrastructure. Architect Agent Infrastructure. Design systems for autonomous agents", "postedDate" : "2026-06-16T01:20:31.999", "createdAt" : "2026-06-16T01:20:31.999", "lastUpdated" : "2026-06-16T10:34:07.636", "ingestTimestamp" : "2026-06-16T01:20:31.999", "mongoId" : "6a307b01f292fd229c042b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Concurrency", "Distributed computing", "Reliability engineering", "Performance engineering", "Fault tolerance", "Leadership", "Distributed systems", "Autonomous agents", "Program synthesis", "Large-scale infrastructure", "Systems engineering", "Technical strategy", "Architecture", "Runtime execution environments", "Verification and correctness", "AI-powered software creation", "Non-deterministic systems" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 977.57263, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c687674d8ee00a0903804", "title" : "Core Engineer", "company" : "Rox", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Core Engineer in San Francisco, adjusted for the technology industry and onsite work mode." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T03:01:41.256", "fingerprint" : "54142f3c9d037f3de91142d642e46841c95666c676355f318f7c381e4dbd9b02", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rox-data-corp/4b784e01-c6e2-4238-a458-0575d839c46e/application", "externalId" : "4b784e01-c6e2-4238-a458-0575d839c46e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Distributed systems, Real-time decisioning, Agent execution frameworks, Semantic retrieval systems, Streaming infrastructure, Knowledge graph architectures, Graph-based retrieval, Semantic search, Streaming compute, AI infrastructure, Orchestration systems", "professionalSkills" : [ "Systems thinking", "Engineering craftsmanship", "Long-term architecture" ], "hardSkillsList" : [ "Networking", "Concurrency", "Storage", "Reliability" ], "hardSkills" : [ { "name" : "Networking", "level" : "intermediate" }, { "name" : "Concurrency", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" } ], "majorSkills" : "Autonomous agent platform, Distributed systems, Real-time data, AI reliability", "majorSkillsList" : [ "Autonomous agent platform", "Distributed systems", "Real-time data", "AI reliability" ], "coreResponsibilities" : "Build infrastructure for autonomous agent execution, Design systems for deterministic agent behavior, Design systems for auditable agent behavior, Develop low-latency retrieval systems, Develop context systems, Build graph-based infrastructure, Build semantic retrieval systems, Improve observability across agent systems, Improve debugging across agent systems, Improve reliability across agent systems, Work on real-time data ingestion, Work on streaming architectures, Collaborate with platform teams, Collaborate with AI teams, Collaborate with product teams, Shape long-term architecture, Operate foundational infrastructure", "teamCollaboration" : "Platform engineering teams; AI engineering teams; Product engineering teams", "domainKnowledge" : "Real-time OLAP systems; Streaming compute platforms; Distributed databases; Semantic retrieval systems; Deterministic execution infrastructure; High-scale platform engineering; Autonomous execution; Enterprise AI systems; Enterprise constraints", "domainList" : [ "real-time-olap-systems", "streaming-compute-platforms", "distributed-databases", "semantic-retrieval-systems", "deterministic-execution-infrastructure", "high-scale-platform-engineering", "autonomous-execution", "enterprise-ai-systems", "enterprise-constraints" ], "domainSpecificKnowledge" : [ "Real-time OLAP systems", "Streaming compute platforms", "Distributed databases", "Semantic retrieval systems", "Deterministic execution infrastructure", "High-scale platform engineering", "Autonomous execution", "Enterprise AI systems", "Enterprise constraints" ], "problemSolvingSkills" : "Systems intuition; Reason about long-term architecture", "outcomesObjectives" : "Contribute to production systems; Design core systems; Improve core systems; Define technical foundation", "qualificationsBasic" : "Background in distributed systems, Platform engineering background, Experience building high-scale backend infrastructure, Systems fundamentals, Experience with streaming systems, Experience with distributed databases, Experience with real-time infrastructure, Ability to independently design and ship complex technical systems, Product and engineering judgment", "qualificationsPreferred" : "Apache Flink experience, Distributed query engines experience, Real-time OLAP systems experience, Graph retrieval systems experience, Semantic search infrastructure experience, Streaming compute systems experience, Large-scale platform engineering experience, AI infrastructure and orchestration systems experience, Open source contributors, Infrastructure specialists, Technical force multipliers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT ROX Rox https://www.rox.com/?utm_source=chatgpt.com is building the AI-native revenue operating system. Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems. Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise. Agents analyze signals, reason about them, and take action — automatically. To make that possible, we are building infrastructure that combines elements of: - distributed systems - real-time decisioning - agent execution frameworks - semantic retrieval systems - low-latency streaming infrastructure - knowledge graph architectures We’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI. We are building for what enterprise AI systems will require two years from now — not just what exists today. ABOUT THE CORE ENGINEERING TEAM Core Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale. This team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across: - agent reliability and orchestration - distributed execution systems - graph-based retrieval infrastructure - streaming and real-time context systems - observability for autonomous workflows - low-latency data and inference pipelines The problems here look less like traditional SaaS application engineering and more like: - real-time OLAP systems - streaming compute platforms - distributed databases - semantic retrieval systems - deterministic execution infrastructure - high-scale platform engineering At Rox, agents continuously: - retrieve context - reason across changing state - trigger actions - update workflows - coordinate across systems Core Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic. THE ROLE We are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform. This role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability. You might be a fit if you’ve spent time building: - distributed infrastructure - streaming systems - semantic search infrastructure - graph-based retrieval systems - execution runtimes - reliability infrastructure - low-latency backend platforms Or if you’ve historically been “the person” inside your company for difficult infrastructure problems. We care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints. WHAT YOU’LL DO - Build infrastructure for reliable autonomous agent execution - Design systems for deterministic, auditable agent behavior at enterprise SLAs - Develop low-latency retrieval and context systems powering AI workflows - Build and scale graph-based infrastructure and semantic retrieval systems - Improve observability, debugging, and reliability across distributed agent systems - Work on real-time data ingestion and streaming architectures - Collaborate closely with platform, AI, and product engineering teams - Help shape the long-term architecture behind Rox’s agent runtime PROBLEMS YOU’LL WORK ON - Reliability for long-horizon AI workflows - Agent orchestration across distributed systems - Deterministic execution for autonomous systems - Streaming context ingestion and retrieval - Knowledge graph infrastructure - Real-time state synchronization - Low-latency execution pipelines - Enterprise-grade observability for agent systems MUST-HAVE QUALIFICATIONS - Strong background in distributed systems or platform engineering - Experience building and operating high-scale backend infrastructure - Strong systems fundamentals across networking, concurrency, storage, and reliability - Experience with streaming systems, distributed databases, or real-time infrastructure - Ability to independently design and ship complex technical systems - Strong product and engineering judgment PARTICULARLY RELEVANT BACKGROUNDS We’d especially love to speak with engineers who have experience in areas like: - Apache Flink - distributed query engines - real-time OLAP systems - graph retrieval systems - semantic search infrastructure - streaming compute systems - large-scale platform engineering - AI infrastructure and orchestration systems Open source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST FEW WEEKS You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems. IN YOUR FIRST FEW MONTHS You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance. OVER TIME You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale. WHY THIS ROLE EXISTS Enterprise AI systems are moving toward autonomous execution. The hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints. We believe this requires a new category of infrastructure engineering. That is the problem space this team exists to solve. LOCATION This role is based onsite in San Francisco. We strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox. If you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.", "summaryDescription" : "Core Engineer at Rox. Skills: Autonomous agent platform, Distributed systems, Real-time data, AI reliability. Build infrastructure for autonomous agent execution. Design systems for deterministic agent behavior", "createdAt" : "2026-06-14T20:16:47.806", "lastUpdated" : "2026-06-16T03:01:41.256", "ingestTimestamp" : "2026-06-14T20:16:47.806", "mongoId" : "6a2c687674d8ee00a0903804", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Networking", "Concurrency", "Storage", "Reliability", "Autonomous agent platform", "Distributed systems", "Real-time data", "AI reliability", "Systems thinking", "Engineering craftsmanship", "Long-term architecture", "Real-time OLAP systems", "Streaming compute platforms", "Distributed databases", "Semantic retrieval systems", "Deterministic execution infrastructure", "High-scale platform engineering", "Autonomous execution", "Enterprise AI systems", "Enterprise constraints" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 977.2532, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ea02b74d8ee00a0e407cf", "title" : "Staff Engineer, system design engineering", "company" : "Sandisk", "industry" : "Computer Hardware", "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "certifications" : [ ], "timestamp" : "2026-06-15T13:16:06.751", "fingerprint" : "3807b570b83f52106ffa1de763796195e620a58f8698576a0eb8fe422fdfb989", "source" : "smartrecruiters", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131991375-staff-engineer-system-design-engineering", "externalId" : "744000131991375", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, C/C++, Shell scripts, AI frameworks, GPU computing", "professionalSkills" : [ "AI workloads, system architectures, performance characterization methodologies, modern AI infrastructure environments, Chat Assistants, LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, Image/Video Generation workloads, Vector DB & KV cache, storage systems, training and inference." ], "hardSkillsList" : [ "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience", "Master’s degree in Computer Science or Computer Engineering with 2+ years of experience", "Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required", "AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics", "Experience in Performance & Benchmarking – profiling tools, system bottlenecks", "Debugging knowledge on performance bottlenecks in AI pipelines", "Experience in deriving data movement costs on Edge platforms" ], "hardSkills" : [ { "name" : "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience", "level" : "intermediate" }, { "name" : "Master’s degree in Computer Science or Computer Engineering with 2+ years of experience", "level" : "intermediate" }, { "name" : "Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required", "level" : "intermediate" }, { "name" : "AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics", "level" : "intermediate" }, { "name" : "Experience in Performance & Benchmarking – profiling tools, system bottlenecks", "level" : "intermediate" }, { "name" : "Debugging knowledge on performance bottlenecks in AI pipelines", "level" : "intermediate" }, { "name" : "Experience in deriving data movement costs on Edge platforms", "level" : "intermediate" } ], "majorSkills" : "system design, AI infrastructure, performance characterization, benchmark development, performance analysis", "majorSkillsList" : [ "system design, AI infrastructure, performance characterization, benchmark development, performance analysis" ], "coreResponsibilities" : "Designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. Translating business and customer use cases into measurable performance validation strategies. Developing benchmark proposals, defining evaluation methodologies, and executing performance studies for a wide range of AI applications. Evaluating AI workloads across different hardware configurations to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. Collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies.", "teamCollaboration" : "Work closely with Marketing, Product Management and System Architecture teams. Collaborating with internal and external partners. Work with cross-functional teams for POC and architecture discussions for validation infrastructure.", "toolProficiency" : [ "NVLink, NVSwitch" ], "documentationSkills" : "performance reports", "continuousLearning" : "Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure.", "innovationCreativity" : "Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models. Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure.", "problemSolvingSkills" : "system design; performance bottlenecks; system architectures; distributed systems", "specialRequirements" : "Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"Know Your Rights: Workplace Discrimination is Illegal\" poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs. accommodations@sandisk. com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "outcomesObjectives" : "Enable comprehensive benchmark tests for AI infrastructure platforms. Translate business and customer use cases into measurable performance validation strategies. Generate detailed performance reports with actionable insights. Ensure reproducibility, automation, and continuous benchmarking capabilities within AI lab environments.", "qualificationsBasic" : "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Experience with different Operating Systems (Windows, Linux, VMware). Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics. Experience in Performance & Benchmarking – profiling tools, system bottlenecks. Debugging knowledge on performance bottlenecks in AI pipelines. Experience in deriving data movement costs on Edge platforms.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The ideal candidate will be responsible for designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments. The individual will work closely with Marketing, Product Management and System Architecture teams to understand benchmark requirements and translate business and customer use cases into measurable performance validation strategies. The candidate will develop benchmark proposals, define evaluation methodologies, and execute performance studies for a wide range of AI applications, including Chat Assistants and LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, and Image/Video Generation workloads. Responsibilities include selecting and optimizing benchmark frameworks, configuring AI software stacks, validating hardware and software performance, analyzing bottlenecks across compute, memory, storage, and networking subsystems, and generating detailed performance reports with actionable insights. The candidate will evaluate AI workloads across different hardware configurations such as GPUs, CPUs, accelerators, high-speed interconnects, NVLink/NVSwitch fabrics, storage architectures, and network fabrics to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. The role also involves collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies, while ensuring reproducibility, automation, and continuous benchmarking capabilities within AI lab environments. Strong analytical, scripting, and performance tuning skills are essential, along with hands-on experience in AI frameworks, GPU computing, distributed inference environments, and performance monitoring tools. Essential Duties and Responsibilities: •Design & Validate AI Infrastructure for Benchmarks •Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests •Define and Perform Benchmark tests for AI workloads on storage systems •Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines •Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models •Design Benchmarks for Vector DB & KV cache •Optimize Data pipelines for Inference and training •Analyze Benchmark results, document and publish with recommendations Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure. Work with cross-functional teams for POC and architecture discussions for validation infrastructure. ## Qualifications Required: * Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master’s degree in Computer Science or Computer Engineering with 2+ years of experience. Skills : * Experience with different Operating Systems (Windows, Linux, VMware). * Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required. * AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics * Experience in Performance & Benchmarking – profiling tools, system bottlenecks * Debugging knowledge on performance bottlenecks in AI pipelines * Experience in deriving data movement costs on Edge platforms ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 08/12/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Staff Engineer, system design engineering at Sandisk. Skills: system design, AI infrastructure, performance characterization, benchmark development, performance analysis. Designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. Translating business and customer use cases into measurable performance validation strategies. Developing benchmark proposals, definin", "postedDate" : "2026-06-12T21:43:14.000", "createdAt" : "2026-06-14T20:58:54.107", "lastUpdated" : "2026-06-15T13:16:06.751", "ingestTimestamp" : "2026-06-14T20:58:54.107", "mongoId" : "6a2ea02b74d8ee00a0e407cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Bachelor’s degree in Computer Science or Computer Engineering with 5+ years of experience", "Master’s degree in Computer Science or Computer Engineering with 2+ years of experience", "Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required", "AI Infrastructure & Hardware Awareness – GPU/CPU architecture basics", "Experience in Performance & Benchmarking – profiling tools, system bottlenecks", "Debugging knowledge on performance bottlenecks in AI pipelines", "Experience in deriving data movement costs on Edge platforms", "system design, AI infrastructure, performance characterization, benchmark development, performance analysis", "AI workloads, system architectures, performance characterization methodologies, modern AI infrastructure environments, Chat Assistants, LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision AI, multimodal AI, recommendation systems, Image/Video Generation workloads, Vector DB & KV cache, storage systems, training and inference.", "NVLink, NVSwitch" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 963.22327, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cea0474d8ee00a0a6f6c0", "title" : "Staff Engineer, Test & Evaluation (R5141)", "company" : "Shield AI", "industry" : "X-BAT Engineering - System Engineering & Integrated Test", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Dallas, Texas", "locations" : [ "Dallas, Texas" ], "timestamp" : "2026-06-16T01:39:05.492", "fingerprint" : "8a22ca902adea9e56b1135afdb156f90251b06da166ff8c25eaf2e384a4688e3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/dc9cd4bf-fc16-4016-aed4-776029ca3d35/apply", "externalId" : "dc9cd4bf-fc16-4016-aed4-776029ca3d35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are looking for a driven and hands-on test professional to support aircraft and system testing in a fast-paced aerospace environment on our XBAT program. This role is ideal for someone who enjoys solving complex problems, working closely with cross-functional teams, and seeing projects move from early development through production and flight operations. The right candidate will have experience planning and executing tests for UAV or manned aircraft platforms and be comfortable building test plans and procedures from the ground up. This individual should be organized, adaptable, and detail-oriented, with the ability to manage multiple test activities while maintaining a strong focus on safety, quality, and mission success. ## What you'll do Manage and maintain traceability of test requirements throughout system development, integration, and test execution phases. Plan, coordinate, and execute aircraft/lab test execution activities, including pre-test readiness reviews, test conduct, data collection, and post-test reporting. Coordinate test schedules and support comprehensive test planning activities to ensure alignment with program milestones and objectives. Develop and manage test event sequencing and execution plans throughout the aircraft build and integration lifecycle. Coordinate and oversee ground and flight test execution activities, ensuring adherence to approved procedures, safety requirements, and program objectives. Ensure test activities, methodologies, and deliverables align with engineering, mission, and program requirements. Participate in Test Readiness Reviews (TRRs), test planning meetings, and pre-test briefings to support successful test execution. Develop, maintain, and continuously improve test procedures to enhance accuracy, efficiency, repeatability, and overall execution quality. Investigate, troubleshoot, and evaluate test anomalies, discrepancies, and system performance issues to support timely resolution. Collaborate closely with Test Engineering, Quality Engineering, and cross-functional teams to resolve issues, implement corrective actions, and improve test processes. Drive continuous improvement initiatives focused on increasing test efficiency, execution quality, and operational effectiveness. Support extended work hours, shift work, and weekend operations as required to meet test schedules, flight operations, and program commitments. ## Required qualifications Bachelor's degree in Engineering or related technical field and 7+ years of relevant aerospace, aircraft test, or flight test experience; or equivalent combination of education and experience. Experience planning, executing, and reporting on test activities for UAV, UAS, or manned aircraft systems. Ability to read, interpret, and understand engineering drawings, schematics, and technical documentation. Experience developing aircraft test plans, test procedures, and test documentation for new or modified aircraft systems. Hands-on experience supporting aircraft integration, test, and validation activities in a production or manufacturing environment. Ability to troubleshoot complex aircraft, avionics, and system integration issues during test activities. Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams. Demonstrated attention to detail with a proactive, safety-focused approach to testing and operations. Ability to obtain and maintain a DoD Secret security clearance and any required program access. Willingness to work non-standard hours, including evenings and weekends, as required to support program objectives. Ability to travel domestically to support flight test and customer site activities. Experience leading aircraft test planning and execution efforts across multiple programs or test events. Demonstrated ability to mentor junior engineers and technicians. Experience coordinating test activities across engineering, manufacturing, operations, and customer stakeholders. Ability to independently develop test strategies and provide technical leadership for complex integration and flight test campaigns ## Preferred qualifications Active DoD Secret security clearance (current preferred) with eligibility to support special access programs. Experience supporting Group 5 UAS/UAV launch, recovery, and flight operations. Hands-on experience with aircraft avionics systems, integration, troubleshooting, and testing. Aircraft maintenance experience supporting military, commercial, or unmanned aircraft platforms. Experience conducting laboratory-based testing, verification, and validation of aircraft systems, subsystems, or components. ## Additional Information #LI-AD6 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Staff Engineer, Test & Evaluation (R5141) at Shield AI", "postedDate" : "2026-06-12T22:09:22.610", "createdAt" : "2026-06-12T22:09:22.610", "lastUpdated" : "2026-06-16T01:39:05.492", "ingestTimestamp" : "2026-06-14T21:46:35.421", "mongoId" : "6a2cea0474d8ee00a0a6f6c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 955.5868, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c934374d8ee00a0987c1f", "title" : "Staff Product Design Engineer", "company" : "Ōura", "industry" : "Manufacturing", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Product Design Engineer in San Francisco, adjusted for industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-15T05:21:23.166", "fingerprint" : "8e09e208bc1db62588ecd85f1e800f71c76035533696a3e0669d7f7a10fdbcde", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4093697009", "externalId" : "4093697009", "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", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "3D CAD, NX, Solidworks, PCBs, Flexes, Antennas, Enclosures, Mechanisms, Batteries", "professionalSkills" : [ "Product development", "Design roadmap", "Product timelines", "Technical leadership", "Project planning", "Documentation" ], "hardSkillsList" : [ "Mechanical design", "Materials science", "Manufacturing processes", "Mechanics of materials", "Prototyping", "Test equipment" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Mechanics of materials", "level" : "intermediate" }, { "name" : "Prototyping", "level" : "intermediate" }, { "name" : "Test equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Mechanical design, Wearable devices, Consumer electronics, Prototyping", "majorSkillsList" : [ "Mechanical design", "Wearable devices", "Consumer electronics", "Prototyping" ], "coreResponsibilities" : "Mechanical design and development, Drive product development, Build prototypes, Break prototypes, Iterate quickly, Define product roadmap, Drive product roadmap, Define timelines, Drive timelines", "teamCollaboration" : "Manufacturing partners; Industrial Designers; Hardware Engineers; UX Designers; Other engineers; Designers", "projectManagementSkills" : [ "Product roadmap", "Timelines" ], "domainKnowledge" : "Wearable technology; Consumer devices; Densely packaged electronics; Scalable manufacturing", "domainList" : [ "wearable-technology", "consumer-devices", "densely-packaged-electronics", "scalable-manufacturing" ], "domainSpecificKnowledge" : [ "Wearable technology", "Consumer devices", "Densely packaged electronics", "Scalable manufacturing" ], "toolProficiency" : [ "3D CAD", "NX", "Solidworks" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Project documentation", "innovationCreativity" : "Creative teams; Design", "problemSolvingSkills" : "Problem-solving; Analytical skills; Engineering challenges", "qualificationsBasic" : "10+ years consumer product design engineer, Wearables experience, Exercises independent judgement, Experience using 3D CAD, Design densely packaged consumer electronic parts, Build prototypes quickly, Evaluate design concepts, Knowledgeable about materials, Knowledgeable about scalable manufacturing processes, Deep technical foundation in mechanics of materials, Comfortable with the unknown, Comfortable with the ambiguous, Drive tasks independently, Act as a leader, Mentor across multiple organizations, Organize issues, Escalate issues, Communicate issues clearly, Explain technical concepts to non-technical stakeholders, Work with other engineers, Work with designers, Contribute to project planning, Contribute to documentation", "qualificationsPreferred" : "NX or Solidworks experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Staff Mechanical Design Engineer to join our hardware team working on future wearables. This opportunity will be hybrid to either San Diego or San Francisco. What you will do: Mechanical design and development of cutting-edge wearable and other consumer devices, with a keen focus to detail, precision, and design Drive product development with our manufacturing partners in Asia, North America, and Europe Build a lot of prototypes, break them, and iterate quickly. Work with leadership to help define and drive product roadmap and timelines. We would love to consider you for this role, if you have: Project Experience: 10+ years of experience as a consumer product design engineer who loves working on highly creative, fast-paced, and collaborative teams alongside Industrial Designers, Hardware Engineers, and UX Designers. Wearables experience preferred. Exercises independent judgement in methods, techniques, and evaluation criteria for obtaining results 3D Modeling: Experience using 3D CAD (NX or Solidworks) to design densely packaged consumer electronic parts including: PCBs, flexes, antennas, enclosures, mechanisms, and batteries, etc. Prototyping: Ability to scrappily build prototypes quickly and effectively to evaluate design concepts using standard test equipment. Materials and Manufacturing Expertise: Knowledgeable about a wide variety of materials, and scalable manufacturing processes. A deep technical foundation in mechanics of materials. Problem-Solving and Analytical Skills: You are comfortable with the unknown, the ambiguous, and strive to make engineering challenges a reality through creativity Driven, Technical Leadership: Able to drive tasks independently, act as a leader and mentor across multiple organizations, organize, escalate and communicate issues and needs clearly. Communication and Collaboration Skills: Effective communication and collaboration skills are important. Be able to explain technical concepts to non-technical stakeholders, work with other engineers and designers, and contribute to project planning and documentation. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 (San Francisco): $198,000 - $233,000 Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of Fake Job Offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes. Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Staff Product Design Engineer at Ōura. Skills: Mechanical design, Wearable devices, Consumer electronics, Prototyping. Mechanical design and development. Drive product development", "postedDate" : "2026-06-13T20:44:21.576", "createdAt" : "2026-06-13T20:44:21.576", "lastUpdated" : "2026-06-15T05:21:23.166", "ingestTimestamp" : "2026-06-13T20:44:21.576", "mongoId" : "6a2c934374d8ee00a0987c1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Materials science", "Manufacturing processes", "Mechanics of materials", "Prototyping", "Test equipment", "Leadership", "Mentoring", "Wearable devices", "Consumer electronics", "Product development", "Design roadmap", "Product timelines", "Technical leadership", "Project planning", "Documentation", "Product roadmap", "Timelines", "Wearable technology", "Consumer devices", "Densely packaged electronics", "Scalable manufacturing", "3D CAD", "NX", "Solidworks" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 954.26404, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6274d8ee00a0911ffc", "title" : "Staff IT Systems Engineer", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T01:15:07.719", "fingerprint" : "280ca1b42c9c6d786161a5660c025f5fd3da8cb3a05d75ef20d3feb22f81666d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4680724006", "externalId" : "4680724006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, TypeScript, Git, REST APIs, Webhooks, Event-driven workflows, Okta, Google Workspace, Slack, Zoom, Terraform, LLM APIs", "professionalSkills" : [ "Systems design", "API integrations", "Identity lifecycle automation", "Platform maturity", "Scalable systems design" ], "hardSkillsList" : [ "Scripting languages", "Coding languages", "API integrations", "Identity lifecycle automation", "Infrastructure-as-code" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Coding languages", "level" : "intermediate" }, { "name" : "API integrations", "level" : "intermediate" }, { "name" : "Identity lifecycle automation", "level" : "intermediate" }, { "name" : "Infrastructure-as-code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Automation, API integrations, Identity management, Infrastructure-as-code", "majorSkillsList" : [ "Automation", "API integrations", "Identity management", "Infrastructure-as-code" ], "coreResponsibilities" : "Design automation across core IT systems, Build automation across core IT systems, Own automation across core IT systems, Develop API-driven integrations, Develop workflows across systems, Build identity lifecycle automation, Scale identity lifecycle automation, Act as escalation point, Debug across systems, Debug integrations, Debug environments, Identify recurring issues, Eliminate root causes through automation, Eliminate root causes through system design improvements, Partner cross-functionally with IT, Partner cross-functionally with Security, Partner cross-functionally with business teams, Design scalable solutions, Improve core systems, Establish technical standards, Establish operational rigor, Establish engineering best practices, Mentor team members on automation, Mentor team members on infrastructure-as-code, Mentor team members on integrations, Mentor team members on scalable systems design", "teamCollaboration" : "Cross-functional partnership; Partner with IT; Partner with Security; Partner with business teams", "domainKnowledge" : "Clinical AI; Health system EMRs; AI agents; Identity lifecycle management; SaaS environments; Infrastructure-as-code", "domainList" : [ "clinical-ai", "health-system-emrs", "ai-agents", "identity-lifecycle-management", "saas-environments", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Clinical AI", "Health system EMRs", "AI agents", "Identity lifecycle management", "SaaS environments", "Infrastructure-as-code" ], "toolProficiency" : [ "Okta", "Okta Workflows", "Tines", "Google Workspace", "Slack", "Zoom", "Terraform", "Git" ], "problemSolvingSkills" : "Debugging; Root cause analysis", "qualificationsBasic" : "8+ years of experience in IT, Automation-first mindset, Building automation using scripting or coding languages, Familiarity working in Git-based development workflows, Experience building API-based integrations, Hands-on experience with IAM platforms, Experience administering SaaS environments, Debugging complex, cross-system issues, Solid foundation in networking, Solid foundation in security, Solid foundation in infrastructure-as-code, Systems built and managed through code, Fluency with LLM APIs, Prompt engineering, AI-assisted development, Demonstrated experience building or evaluating AI-powered systems in production", "qualificationsPreferred" : "Okta Workflows or Tines experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Staff IT Systems Engineer to design, automate, and scale the core infrastructure that powers our company. This is a builder-first role where IT is treated as an engineering discipline. This person will drive platform maturity through API integrations, identity lifecycle automation, and code-driven workflows to ensure our teams operate securely and at peak efficiency, while raising the technical bar of the IT organization through mentorship, standards, and scalable systems design. What You'll Do Design, build, and own automation across core IT systems to reduce manual work and improve reliability. Develop API-driven integrations and workflows across systems like Okta, Google Workspace, Slack, and other SaaS tools. Build and scale identity lifecycle automation (joiner, mover, leaver) with a strong focus on security and efficiency. Act as an escalation point for complex technical issues, debugging across systems, integrations, and environments. Identify recurring issues and eliminate root causes through automation and system design improvements. Partner cross-functionally with IT, Security, and business teams to design scalable solutions and improve core systems. Establish technical standards, operational rigor, and engineering best practices across the IT organization, and mentor team members on automation, infrastructure-as-code, integrations, and scalable systems design. What You Need 8+ years of experience in IT, systems engineering, or a related role with a strong automation-first mindset. Comfortable building and maintaining automation using scripting or coding languages such as Python, TypeScript, or similar, with familiarity working in Git-based development workflows. Experience building API-based integrations (REST APIs, webhooks, and event-driven workflows) across SaaS tools. Hands-on experience with IAM platforms (Okta or similar) and automation tools (Okta Workflows, Tines, etc.). Strong experience administering SaaS environments (Google Workspace, Slack, Zoom) and debugging complex, cross-system issues. Solid foundation in networking, security, and infrastructure-as-code (e. g. Terraform), with a bias toward systems built and managed through code. Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production. Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $190,000 – $230,000 depending on experience, skills, seniority, and business needs. In addition to base salary, this role may be eligible for equity as part of the total compensation package. Actual compensation may vary by location Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Staff IT Systems Engineer at Cadence Solutions. Skills: Automation, API integrations, Identity management, Infrastructure-as-code. Design automation across core IT systems. Build automation across core IT systems", "postedDate" : "2026-06-14T20:03:42.215", "createdAt" : "2026-06-14T20:03:42.215", "lastUpdated" : "2026-06-16T01:15:07.719", "ingestTimestamp" : "2026-06-14T20:03:42.215", "mongoId" : "6a2c6b6274d8ee00a0911ffc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 230000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Scripting languages", "Coding languages", "API integrations", "Identity lifecycle automation", "Infrastructure-as-code", "Mentorship", "Automation", "Identity management", "Systems design", "Platform maturity", "Scalable systems design", "Clinical AI", "Health system EMRs", "AI agents", "Identity lifecycle management", "SaaS environments", "Okta", "Okta Workflows", "Tines", "Google Workspace", "Slack", "Zoom", "Terraform", "Git" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 954.1013, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a875a74d8ee00a067dff6", "title" : "Staff Engineer, Design Evaluation Engineering", "company" : "Analog Devices", "industry" : "Semiconductor", "salary" : { "min" : 11.0, "max" : 11.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US, OR, Beaverton", "locations" : [ "US, OR, Beaverton", "United States of America" ], "timestamp" : "2026-06-13T20:41:53.460", "fingerprint" : "9163a906e14e2f47bdbeddcf1dd500fbb770945fa6e21b21f8eb6e6fbeb4783f", "source" : "workday", "language" : "en", "applyUrl" : "https://analogdevices.wd1.myworkdayjobs.com/External/job/US-OR-Beaverton/Staff-Engineer--Design-Evaluation-Engineering_R262604", "externalId" : "R262604", "industryFunction" : { }, "locationPoint" : "32.5064,34.92087", "structuredLocations" : [ { "city" : "Beaverton", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4871723,-122.8037800" } ], "locationText" : "Beaverton, Oregon, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Analog, Digital, Software, Python, C/C++/C#, SerDes", "professionalSkills" : [ "Design validation", "Lab evaluation", "Root-cause analysis", "Data analysis" ], "hardSkillsList" : [ "Silicon bring-up", "Characterization", "Signal integrity", "Power integrity", "System behavior" ], "hardSkills" : [ { "name" : "Silicon bring-up", "level" : "intermediate" }, { "name" : "Characterization", "level" : "intermediate" }, { "name" : "Signal integrity", "level" : "intermediate" }, { "name" : "Power integrity", "level" : "intermediate" }, { "name" : "System behavior", "level" : "intermediate" } ], "majorSkills" : "Design Evaluation, Lab Characterization, High-speed SerDes", "majorSkillsList" : [ "Design Evaluation", "Lab Characterization", "High-speed SerDes" ], "coreResponsibilities" : "Develop validation plans, Execute validation plans, Perform silicon bring-up, Perform characterization, Perform debug, Perform corner analysis, Design evaluation hardware, Develop evaluation hardware, Develop software scripts, Develop automation frameworks, Develop embedded firmware, Lead debug, Contribute to debug, Analyze data sets, Summarize results, Communicate findings", "teamCollaboration" : "Cross-functional design environment", "domainKnowledge" : "Automotive SerDes; High-speed interfaces; Clocking; Jitter; Mixed-signal system behavior; SerDes fundamentals; Signal integrity; Power integrity", "domainList" : [ "automotive-serdes", "high-speed-interfaces", "clocking", "jitter", "mixed-signal-system-behavior", "serdes-fundamentals", "signal-integrity", "power-integrity" ], "domainSpecificKnowledge" : [ "Automotive SerDes", "High-speed interfaces", "Clocking", "Jitter", "Mixed-signal system behavior", "SerDes fundamentals", "Signal integrity", "Power integrity" ], "toolProficiency" : [ "High-speed oscilloscopes", "VNAs", "BERTs", "Logic analyzers", "Signal analyzers", "Spectrum analyzers" ], "communicationSkills" : "Present findings", "documentationSkills" : "Document results", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "10% travel", "qualificationsBasic" : "BSEE or equivalent with 5+ years experience, MSEE with 3+ years experience, Silicon bring-up and lab validation experience, Experience designing characterization hardware, Experience developing software and automation infrastructure, Hands-on capability with lab instrumentation, Solid understanding of high-speed digital interfaces, Demonstrated ability to independently debug issues, Clear written and verbal communication skills", "qualificationsPreferred" : "Hands-on experience with high-speed interfaces, Coordinating validation efforts across multiple engineers, Experience leading projects or technical ownership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About Analog Devices** Analog Devices, Inc. (NASDAQ: [_ADI_](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [_www.analog.com_](https://www.analog.com/en.html) and on [_LinkedIn_](https://www.linkedin.com/company/analog-devices) and [_X_](https://x.com/ADI_News). **About Analog Devices** Analog Devices, Inc. (NASDAQ: [ADI](http://finance.yahoo.com/q?s=ADI) ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $11 billion in FY25 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at [www.analog.com](https://www.analog.com/) and on [LinkedIn](https://www.linkedin.com/company/analog-devices/posts/?feedView=all) and [Twitter (X)](https://x.com/adi_news). Join our Automotive OpenGMSL Team as a Staff Design Evaluation Engineer! We are seeking an experienced, self-motivated, and passionate engineer to lead **lab characterization and validation** of cutting-edge products for Automotive SerDes applications. OpenGMSL (Gigabit Multimedia Serial Link) is the leading high‑speed in‑vehicle serial link technology in the automotive industry. It enables safe and secure transport of video and data while significantly reducing the cost, weight, and complexity of vehicle cable harnesses. Our extensive portfolio of products is in full production, with millions of vehicles worldwide relying on it daily. OpenGMSL offers cost-effective video and data transport and bridging for various applications, including basic information displays and rearview cameras in mass-market vehicles, safety-critical cameras in autonomous vehicles, and high-resolution touch screens in high-end vehicles. Beyond automotive, OpenGMSL solutions are widely used in industrial and medical systems as well as in growing robotics applications. The position is based in Beaverton, Oregon. **Responsibilities:** * Design Validation Ownership: Work directly with design engineers and system architects to develop validation plans for new products, covering functional, performance, margin, and robustness requirements. * Lab Evaluation & Characterization: Execute validation plans through hands‑on laboratory testing, including silicon bring‑up, characterization, debug, and corner analysis of high‑speed SerDes products. * Test Hardware & Software Development: Design and develop evaluation hardware (boards, fixtures, adapters) and software (scripts, automation frameworks, embedded firmware) required to enable efficient and repeatable testing. * Debug & Root‑Cause Analysis: Lead or contribute to functional, performance, and system‑level debug of new IP and products, spanning digital, analog, mixed‑signal, firmware, and system interfaces. * Data Analysis & Reporting: Analyze large and complex data sets, summarize results clearly, and communicate findings and recommendations to cross-functional team. **Minimum Qualifications:** * Education & Experience: BSEE or equivalent with 5+ years of relevant experience, or MSEE with 3+ years of relevant experience. * Silicon Bring‑Up & Lab Validation Experience: Proven experience executing silicon bring‑up, validation, and characterization of ICs in a laboratory environment. * Test Hardware Development: Experience designing characterization hardware infrastructure, including evaluation boards, fixtures, and de-embedding structures. * Test Software & Automation Development: Experience developing software and automation infrastructure for lab validation using scripting or programming languages such as Python, C/C++/C#, or similar. * Hardware Debug & Measurement Skills: Strong hands‑on capability with lab instrumentation such as high‑speed oscilloscopes, VNAs, BERTs, logic analyzers, signal/spectrum analyzers, and power measurement equipment. * SerDes & Communications Expertise: Solid understanding of high‑speed digital interfaces, SerDes fundamentals, clocking, jitter, signal integrity, power integrity, and mixed‑signal system behavior. * Debug & Root‑Cause Analysis: Demonstrated ability to independently debug functional, performance, and system‑level issues and drive issues to root cause with design teams. * Communication & Collaboration: Clear written and verbal communication skills, with the ability to document results, present findings, and work effectively in a cross‑functional design environment. **Preferred Qualifications:** * SerDes Standards and Protocols: Hands‑on experience with high‑speed interfaces and protocols such SerDes, Ethernet, PCIe, USB, DisplayPort, CSI/DSI, or HDMI. * Cross‑Site or Multi‑Engineer Coordination: Experience coordinating validation efforts across multiple engineers, labs, or development sites. * Team Leadership: Experience leading projects or taking on technical ownership within a validation or lab environment. _For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process._ _Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group._ _EEO is the Law:[Notice of Applicant Rights Under the Law](https://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf)._ Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $131,285 to $190,108. * Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. * This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. * This position includes medical, vision and dental coverage, 401k, paid vacation, **holidays, and sick time** , and other benefits.", "summaryDescription" : "Staff Engineer, Design Evaluation Engineering at Analog Devices. Skills: Design Evaluation, Lab Characterization, High-speed SerDes. Develop validation plans. Execute validation plans", "postedDate" : "2026-06-09T16:46:22.011", "createdAt" : "2026-06-11T16:46:21.914", "lastUpdated" : "2026-06-13T20:41:53.460", "ingestTimestamp" : "2026-06-11T16:46:21.914", "mongoId" : "6a2a875a74d8ee00a067dff6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://analogdevices.wd1.myworkdayjobs.com/External/job/US-OR-Beaverton/Staff-Engineer--Design-Evaluation-Engineering_R262604", "salaryAnnualMin" : 22880, "salaryAnnualMax" : 22880, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Silicon bring-up", "Characterization", "Signal integrity", "Power integrity", "System behavior", "Design Evaluation", "Lab Characterization", "High-speed SerDes", "Design validation", "Lab evaluation", "Root-cause analysis", "Data analysis", "Automotive SerDes", "High-speed interfaces", "Clocking", "Jitter", "Mixed-signal system behavior", "SerDes fundamentals", "High-speed oscilloscopes", "VNAs", "BERTs", "Logic analyzers", "Signal analyzers", "Spectrum analyzers" ], "skillCount" : 24, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 945.99884, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "6a2ea63474d8ee00a0e5b09f", "title" : "Staff Electrical Hardware Design Engineer", "company" : "Capella", "location" : "Louisville, Colorado, United States", "locations" : [ "Louisville", "Colorado", "United States" ], "timestamp" : "2026-06-15T10:13:30.250", "fingerprint" : "7aa66f29cff076d7a9b83af74bc80fea777a1cb362d4eb6287336f33bdc030d2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.capellaspace.com/company/apply?gh_jid=6018829004", "externalId" : "6018829004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Louisville", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Louisville, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, C, I2C, SPI, UART, RS422, CAN, USB, PCIe, Ethernet", "professionalSkills" : [ "Experience designing for harsh environments (thermal, vacuum, vibration), familiarity with high-speed design or impedance-controlled layouts, exposure to radiation effects and mitigation, and familiarity with satellite electrical systems engineering (propulsion, EPS, GNSS, ADCS, space robotics) are preferred." ], "hardSkillsList" : [ "PCBAs", "digital buses", "high-speed design", "impedance-controlled layouts", "satellite electrical systems engineering" ], "softSkillsList" : [ "collaboration, resilience, precision, creativity, curiosity" ], "hardSkills" : [ { "name" : "PCBAs", "level" : "intermediate" }, { "name" : "digital buses", "level" : "intermediate" }, { "name" : "high-speed design", "level" : "intermediate" }, { "name" : "impedance-controlled layouts", "level" : "intermediate" }, { "name" : "satellite electrical systems engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration, resilience, precision, creativity, curiosity" } ], "majorSkills" : "schematic capture, layout, Altium Designer, lab instruments", "majorSkillsList" : [ "schematic capture, layout, Altium Designer, lab instruments" ], "coreResponsibilities" : "The Staff Electrical Hardware Design Engineer will own the full electrical design lifecycle for complex spaceflight hardware, from concept to flight readiness. This includes schematic capture, layout, bring-up, testing, and manufacturing handoff, while collaborating with cross-functional teams and guiding the Electrical Engineering team on special topics. The role involves defining test plans, scaling manufacturing, mentoring junior engineers, and driving failure analysis for anomalies.", "teamCollaboration" : "This role requires close collaboration with RF, mechanical, software, FPGA/SoC, and operations teams to ensure seamless integration of high-reliability, space-ready electronics. The engineer will also guide the Electrical Engineering team, present across disciplines, and mentor early-career engineers.", "projectManagementSkills" : [ "schedule planning" ], "toolProficiency" : [ "oscilloscopes, logic analyzers, power analyzers" ], "communicationSkills" : "cross-functional communication; stakeholder alignment; concise documentation", "documentationSkills" : "requirements engineering; DFM reviews; DFT issues; documentation habits", "continuousLearning" : "The role encourages curiosity about advanced areas like architecture optimization or radiation mitigation, even if outside the immediate scope, fostering a culture of continuous learning and exploration.", "innovationCreativity" : "Capella's culture is built on a shared commitment to delivering solutions that strengthen global stability and security, valuing curiosity, resilience, and a willingness to tackle hard problems with precision and creativity. Diverse viewpoints are encouraged to strengthen innovation and deliver meaningful impact.", "problemSolvingSkills" : "root cause analysis; DFM/DFT issues", "specialRequirements" : "To conform to U.S. Government space technology export regulations (ITAR), employees must be a U.S. citizen, lawful U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce.", "outcomesObjectives" : "Success is defined by consistently delivering flight-quality hardware on schedule with minimal oversight, proactively identifying and articulating system-level risks, communicating effectively across gaps, making thoughtful trade-offs justified by data, and demonstrating advanced, wide-ranging experience.", "qualificationsBasic" : "A Bachelor's degree in electrical engineering or a related field is required, along with 8+ years of experience in designing and debugging PCBAs. Proficiency in Altium Designer or similar ECAD tools, hands-on experience with lab instruments, a solid understanding of digital buses, and experience with board bring-up, test planning, and production issues are essential.", "qualificationsPreferred" : "A Master's degree in electrical engineering or a related field is preferred. Additional preferred qualifications include experience designing for harsh environments, familiarity with high-speed design or impedance-controlled layouts, basic scripting or automation in Python or C for hardware test workflows, exposure to radiation effects and mitigation, familiarity with EMIC design practices, and familiarity with satellite electrical systems engineering.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Location: This role is based onsite at our Louisville, CO office. Travel: Up to 10%, domestic or international. Job ID: 578 About Capella Capella, an IonQ company, spans national security, advanced sensing, and next-generation compute to deliver secure, mission-ready intelligence. Capella’s culture is built on collaboration, rigorous engineering, and a shared commitment to delivering solutions that strengthen global stability and security. Team members work side-by-side with some of the most innovative minds in space systems, quantum-enabled technologies, and mission-critical operations. Capella values curiosity, resilience, and a willingness to tackle hard problems with precision and creativity. Capella welcomes and encourages applicants whose perspectives are historically underrepresented in technology, national security, and aerospace. No prior space experience is required. Diverse viewpoints strengthen Capella’s ability to innovate and deliver meaningful impact for partners worldwide. The Role As a Staff Electrical Hardware Design Engineer, you will take ownership of full-cycle PCBA designs, from early concept to flight readiness. You will work cross-functionally with RF, mechanical, software, FPGA/SoC, and operations teams to bring high-reliability, space-ready electronics to orbit. You will guide the Electrical Engineering team on special topics and present across disciplines to help facilitate ideas, product readiness, and conduct reviews. Responsibilities Own the full electrical design lifecycle for complex spaceflight hardware: Concept of operations, requirements engineering, schematic capture, layout, bring-up, test, and manufacturing handoff Develop robust analog/digital designs for mission-critical systems under environmental and performance constraints Organize collaborative cross disciplinary design reviews sharing feedback and shaping solutions with a team of experienced engineers Provide critical input to schedule planning, hardware requirements, and process improvements Lead board-level bring-up and debugging, integrating firmware/software/FPGA with embedded systems Define test plans and verification strategies that meet flight readiness requirements Play a key role in scaling up our manufacturing facility bringing hardware from prototype to low-volume production Collaborate across teams- mechanical, RF, software, FPGA/SoC, and systems to ensure seamless integration Mentor early-career engineers contributing to internal process improvements and elevating the overall quality of the team Engage with external vendors and CMs, ensuring delivery quality, resolving DFM/DFT issues, and ensuring on-time delivery Drive failure analysis and root-cause investigations across flight or test anomalies What Success Looks Like You consistently deliver flight-quality hardware on schedule with minimal oversight You proactively identify and articulate system-level risks and drive mitigations early You communicate across hardware/software and cross-functional gaps with confidence and clarity You make thoughtful trade-offs in constrained environments and justify them with data You show curiosity about advanced areas like architecture optimization or radiation mitigation, even if they’re outside your scope for now You exhibit advanced, wide-ranging experience in electrical engineering, using in-depth professional knowledge You get things done, align with stakeholders, and document concisely Qualifications Bachelor’s degree in electrical engineering or related field 8+ years of experience designing and debugging PCBAs Proficiency in Altium Designer (or similar ECAD tools) Hands-on experience with lab instruments (oscilloscopes, logic analyzers, power analyzers, etc.) Solid understanding of digital buses (I2C, SPI, UART, RS422, CAN, USB, PCIe, Ethernet etc.) Familiarity with board bring-up, test planning, and design verification workflows Experience interacting with contract manufacturers, supporting DFM reviews, and resolving production issues Strong documentation habits and organizational skills Required Qualification Master’s degree in electrical engineering or related field Experience designing for harsh environments (thermal, vacuum, vibration, etc.) Familiarity with high-speed design or impedance-controlled layouts Basic scripting or automation in Python or C for hardware test workflows Exposure to radiation effects and mitigation in electronic design Familiarity with EMI/EMC design practices and validation Familiarity with satellite electrical systems engineering (propulsion, (EPS) Electrical Power System, (GNSS) Global Navigation Satellite System, (ADCS) Attitude Determination and Control System, space robotics, etc) To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U. S. citizen, lawful U. S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U. S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U. S. Department of State and/or the U. S. Department of Commerce, as applicable. Learn more about ITAR here. Compensation The approximate base salary range for this position is $145,920 - $181,949. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site. Benefits/Perks In addition to an opportunity to take part in an innovative, collaborative and fast-growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation: We provide extensive medical coverage, including strong vision and dental plans, flexible spending accounts, and additional supplemental health options. Stock option grants for new hires 401K Plan to invest in your long-term retirement goals Generous Parental Leave Paid Flexible Time Off Policy Lifestyle Spending Account Commuter & Parking Benefits Mental Health Resources Monthly Phone Stipend Daily provided lunches and stocked kitchens. Furry friends? We’ve got you covered with dog-friendly work environment & them with pet insurance options Equal Opportunity Statement Capella Space is an equal opportunity employer, committed to creating a diverse and inclusive workplace, and upholding equitable hiring practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you need assistance or require an accommodation during the job application process, please notify recruiting@capellaspace.com To learn more about us, explore our site: https://www.capellaspace.com/ and follow us on X and LinkedIn to see our SAR imagery!", "summaryDescription" : "Staff Electrical Hardware Design Engineer at Capella. Skills: schematic capture, layout, Altium Designer, lab instruments. The Staff Electrical Hardware Design Engineer will own the full electrical design lifecycle for complex spaceflight hardware, from concept to flight readiness. This includes schematic capture, layout, bring-up, testing, and manufacturing handoff, while collaborating with cross-functional teams and guiding the Electrical Engineering team on special topics. 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Build products", "createdAt" : "2026-06-14T20:26:06.730", "lastUpdated" : "2026-06-15T22:11:20.488", "ingestTimestamp" : "2026-06-14T20:26:06.730", "mongoId" : "69ce9a362beec4dd3d789566", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Software development", "DevOps", "Cloud", "AI/ML", "Data engineering", "Security", "System design", "Distributed systems", "Data architecture", "AI architecture" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 926.0794, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30672af292fd229cfb9efb", "title" : "Staff Industrial Engineer", "company" : "Magic Leap", "industry" : "Manufacturing", "salary" : { "min" : 140000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Plantation, FL, United States", "locations" : [ "Plantation", "FL", "United States" ], "certifications" : [ "Six Sigma Green Belt" ], "timestamp" : "2026-06-16T07:12:11.790", "fingerprint" : "580b187da42cd487dd4e6aae5782772e159832135eb3d08ee6900c66c1ccd562", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/magicleap/jobs/8002113", "externalId" : "8002113", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plantation", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.1275862,-80.2331036" } ], "locationText" : "Plantation, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, AutoCAD, FlexSim, Siemens Plant Simulation", "professionalSkills" : [ "Process troubleshooting", "Yield optimization", "Equipment vendor coordination", "Cross-functional leadership" ], "hardSkillsList" : [ "Time studies", "Value stream mapping", "OEE analysis", "SPC", "MSA", "CPK", "DOE", "Process modeling" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Time studies", "level" : "intermediate" }, { "name" : "Value stream mapping", "level" : "intermediate" }, { "name" : "OEE analysis", "level" : "intermediate" }, { "name" : "SPC", "level" : "intermediate" }, { "name" : "MSA", "level" : "intermediate" }, { "name" : "CPK", "level" : "intermediate" }, { "name" : "DOE", "level" : "intermediate" }, { "name" : "Process modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Semiconductor factory automation, Advanced manufacturing systems, AMHS", "majorSkillsList" : [ "Semiconductor factory automation", "Advanced manufacturing systems", "AMHS" ], "coreResponsibilities" : "Partner with R&D, Quality, Production, Transition new processes to manufacturing, Facilitate Kaizen workshops, Document standard work, Ensure GMP compliance, Mentor engineers and technicians, Perform time studies, Conduct value stream mapping, Perform OEE analysis, Identify waste, Eliminate waste, Engage with equipment vendors, Engage with contractors, Resolve manufacturing issues, Summarize complex information, Create executive presentations", "teamCollaboration" : "Cross-functional teams; Work with R&D; Work with Quality; Work with Production; Cross-site collaboration; Vendor coordination", "projectManagementSkills" : [ "Project implementation" ], "domainKnowledge" : "Semiconductor fabrication; Factory automation; Advanced manufacturing; AMHS; OHV; AGV; Discrete event simulation; SPC; MSA; CPK; OEE; DOE; Lean manufacturing; Statistical thinking; High-tech environments; Cleanroom environments; Wet cleans; Lithography; Etching; Vacuum process tools; Process control loops", "domainList" : [ "semiconductor-fabrication", "factory-automation", "advanced-manufacturing", "amhs", "ohv", "agv", "discrete-event-simulation", "spc", "msa", "cpk", "oee", "doe", "lean-manufacturing", "statistical-thinking", "high-tech-environments", "cleanroom-environments", "wet-cleans", "lithography", "etching", "vacuum-process-tools", "process-control-loops" ], "domainSpecificKnowledge" : [ "Semiconductor fabrication", "Factory automation", "Advanced manufacturing", "AMHS", "OHV", "AGV", "Discrete event simulation", "SPC", "MSA", "CPK", "OEE", "DOE", "Lean manufacturing", "Statistical thinking", "High-tech environments", "Cleanroom environments", "Wet cleans", "Lithography", "Etching", "Vacuum process tools", "Process control loops" ], "toolProficiency" : [ "AutoCAD", "FlexSim", "Siemens Plant Simulation", "JMP", "Minitab" ], "communicationSkills" : "Executive presentations; Cross-functional leadership", "documentationSkills" : "Standard work documentation; Work instructions", "innovationCreativity" : "Explore innovative solutions", "problemSolvingSkills" : "Process troubleshooting; Resolve complex issues; Analytical problem solver; Systems-level thinking", "specialRequirements" : "Up to 25% travel, Domestic travel, International travel, Cleanroom experience", "qualificationsBasic" : "B. S. in Industrial Engineering, 7+ years semiconductor/optics manufacturing, AMHS / OHV / AGV systems experience, AutoCAD proficiency, FlexSim, Siemens Plant Simulation proficiency, Advanced SPC, MSA, CPK, OEE, DOE, Six Sigma Green Belt or higher, JMP, Minitab, or Python data analysis, Hands-on cleanroom experience, Familiarity with wet cleans, lithography, etching, Designing automation layouts, Data-driven process control loops, Management of industrial engineering team", "qualificationsPreferred" : "Analytical problem solver, Systems-level thinking, Project management skills, Multitasking skills, Lean manufacturing principles knowledge, Statistical thinking knowledge, High level of initiative, Ownership, Ability to influence cross-functional teams, Comfortable in high-tech environments, Comfortable in multicultural environments, Comfortable in cleanroom environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "A new paradigm of computing Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences. Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the mixed reality (XR) ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible. The opportunity We are seeking a highly skilled Staff Industrial Engineer with a strong background in semiconductor factory automation and advanced manufacturing systems. This role is ideal for an experienced engineer who can bridge the gap between equipment, process, and data, transforming complex manufacturing operations into highly efficient, automated production environments. The ideal candidate has a proven track record in semiconductor fabrication, as well as proficiency in Automated Material Handling Systems (AMHS), including Overhead Hoist Vehicles (OHV) and Automated Guided Vehicles (AGV), and experience with simulation and layout tools such as FlexSim, AutoCAD, or equivalent. This role is based onsite at our Plantation, FL office. Relocation assistance may be provided for qualified candidates. The position may require up to 25% travel, both domestically and internationally, to support cross-site collaboration, vendor coordination, and project implementation. What you’ll do Partner with R&D, Quality, and Production teams to transition new processes into high-volume manufacturing. Facilitate Kaizen workshops, standard work documentation (SOPs, work instructions), and GMP compliance. Mentor engineers and technicians in process troubleshooting, preventive maintenance, and yield optimization. Perform time studies, value stream mapping, and OEE analysis to identify and eliminate waste. Engage directly with equipment vendors and contractors to resolve complex manufacturing issues Ability to summarize complex information into executive-friendly presentations The experience you bring B. S. in Industrial Engineering. 7+ years of experience in semiconductor or optics manufacturing, including automation projects. Proven experience with AMHS / OHV / AGV systems or other semiconductor automation technologies. Proficiency in AutoCAD for layout and space optimization. Proficiency in FlexSim, Siemens Plant Simulation, or similar discrete event simulation tools. Advanced knowledge of SPC, MSA, CPK, OEE, and DOE methodologies. Six Sigma Green Belt or higher certification. Skilled in data analysis tools such as JMP, Minitab, or Python for process modeling. Excellent communication, presentation, and cross-functional leadership skills. Hands-on cleanroom experience in semiconductor or optics manufacturing. Familiarity with wet cleans, lithography, etching or vacuum process tools. Experience in designing automation layouts and data-driven process control loops. Management of an industrial engineering team It’s exciting if you also have Strong analytical problem solver with systems-level thinking. Excellent project management and multitasking skills in fast-paced environments. Deep understanding of lean manufacturing principles and statistical thinking. High level of initiative, ownership, and ability to influence cross-functional teams. Comfortable operating in high-tech, multicultural, and cleanroom environments. Additional Information All your information will be kept confidential according to Equal Employment Opportunities guidelines. Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role. All legitimate Magic Leap email communications will end with \"@magicleap.com\". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance. Accommodations If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law. #LI-SM2 #LI-ONSITE Our salary ranges are determined by role, level and location. In addition to salary, Magic Leap offers a discretionary bonus and a fully comprehensive benefits package for eligible employees. US Base Salary Range $140,000—$160,000 USD", "summaryDescription" : "Staff Industrial Engineer at Magic Leap. Skills: Semiconductor factory automation, Advanced manufacturing systems, AMHS. Partner with R&D, Quality, Production. Transition new processes to manufacturing", "postedDate" : "2026-06-15T23:29:03.126", "createdAt" : "2026-06-15T23:29:03.126", "lastUpdated" : "2026-06-16T07:12:11.790", "ingestTimestamp" : "2026-06-15T23:29:03.126", "mongoId" : "6a30672af292fd229cfb9efb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Time studies", "Value stream mapping", "OEE analysis", "SPC", "MSA", "CPK", "DOE", "Process modeling", "Leadership", "Mentoring", "Semiconductor factory automation", "Advanced manufacturing systems", "AMHS", "Process troubleshooting", "Yield optimization", "Equipment vendor coordination", "Cross-functional leadership", "Project implementation", "Semiconductor fabrication", "Factory automation", "Advanced manufacturing", "OHV", "AGV", "Discrete event simulation", "OEE", "Lean manufacturing", "Statistical thinking", "High-tech environments", "Cleanroom environments", "Wet cleans", "Lithography", "Etching", "Vacuum process tools", "Process control loops", "Six Sigma Green Belt", "AutoCAD", "FlexSim", "Siemens Plant Simulation", "JMP", "Minitab" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 924.63055, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3097f1f292fd229c0e0a3d", "title" : "Staff DevOps Engineer", "company" : "Nextiva", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff DevOps Engineer in the US Technology industry, adjusted for remote work and company size." }, "location" : "United States, Remote", "locations" : [ "United States", "Remote" ], "timestamp" : "2026-06-16T10:44:04.825", "fingerprint" : "d79fbf7ddd3137284ae80dff27cdda5e6c4f498b42c75adf362965fa9e991ee9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.nextiva.com/company/careers-listing?gh_jid=8584626002", "externalId" : "8584626002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, Docker, AWS, Azure, GCP, Terraform, Ansible, Python, Bash, CI/CD, Linux, Networking, Security", "professionalSkills" : [ "System design", "Automation" ], "hardSkillsList" : [ "Infrastructure as Code", "Cloud architecture", "Monitoring", "Troubleshooting" ], "hardSkills" : [ { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "DevOps, Cloud Engineering, CI/CD", "majorSkillsList" : [ "DevOps", "Cloud Engineering", "CI/CD" ], "coreResponsibilities" : "Design infrastructure, Build infrastructure, Automate infrastructure, Manage cloud environments, Implement CI/CD pipelines, Ensure system reliability, Enhance system security, Troubleshoot infrastructure issues, Collaborate with development teams, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems; Microservices", "domainList" : [ "cloud-native-architecture", "distributed-systems", "microservices" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems", "Microservices" ], "toolProficiency" : [ "Kubernetes", "Docker", "AWS", "Azure", "GCP", "Terraform", "Ansible", "Jenkins", "GitLab CI", "Prometheus", "Grafana", "ELK Stack" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "8+ years experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Location: While this role is open to remote candidates across the United States, team members located within 40 miles of our Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256) are expected to work onsite four days per week to support collaboration, speed, and execution. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity. The Staff DevOps Engineer is responsible for the building, maintenance, administration, programming and automation of cloud infrastructure. The role creates new tools and workflows as well as using and updating existing systems. Key Responsibilities: Working in tandem with the Engineering team to identify and implement optimal cloud-based solutions for the company Managing cloud environments in accordance with security guidelines Educating teams on the implementation of new cloud-based initiatives and providing relevant training Staying current with industry trends and making recommendations to help the company excel Promoting and training best practices with software development teams Qualifications: Bachelor’s degree in computer science or related field or equivalent work experience 8+ years of software development or DevOps experience AWS/GCP Solutions Architect, Cloud Security, OpenStack Administrator and/or other cloud-related certification(s) required Expert level experience with cloud container technologies such as Docker, Kubernetes, GKE/ECS or related is required. CI/CD and related experience with Jenkins, Github, Nexus, or similar technologies is required. Experience implementing middleware technologies like Kafka, Redis, RabbitMQ and NGINX. Strong software engineering experience including client/server web development (HTML, JavaScript, Java), server administration, programming and automation. Working knowledge of relational and non-relational databases. Experience with application performance monitoring and logging tools like Datadog, Splunk, ELK. Strong awareness of networking and internet protocols including TCP/IP, DNS, SMTP, HTTP and distributed networks. Extensive experience with open-source technology, software development and system engineering. Competencies: Ability to excel both individually and as a team player in a fast paced, self-directed, constantly evolving environment. Ability to focus on key priorities, plan, organize, schedule and execute on tasks and projects in an efficient and productive manner. Ability to scope out what is needed for each assignment or activity, identify and make use of people, resources and tools that can be leveraged. Excellent time management skills with the proven ability to prioritize, handle multiple tasks and work under tight deadlines while delivering high quality results. Demonstrate good judgment in solving problems, identifying problems in advance, and proposing solutions. Highly organized, detail oriented, adaptable and quick-thinking with a proactive approach, an enterprise focus, an understanding of shifting business needs and the ability to change priorities with ease. Excellent written and verbal communication skills with the ability to communicate knowledgeably and effectively. Ability to manage multiple channels of communication simultaneously such as phone, email, tickets and chat. So, Why Nextiva? Our people do amazing things to help businesses solve their toughest challenges. Really, they do. We simplify the way businesses communicate, creating innovative and affordable solutions for businesses of all sizes. We acquired our first customer in 2008 and today thousands use our tools and platform. Talented team members around the globe embrace Amazing Service – this culture of Amazing Service extends to how we treat both our customers and one another. We are passionate about Nextiva’s unique culture and are looking for like-minded individuals that share our values and vision. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go. Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work. Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates. Total Rewards Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. The expected hiring range is 110,000 - $175,000. A different level in the job hierarchy may apply to a specific candidate, resulting in a different hiring range. \uD83C\uDF4F Health: Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage \uD83D\uDCBC Insurance: Life, disability, and supplemental indemnity plans ⚖️ Work-Life Balance: Flexible Time Off for salaried employees, PTO for hourly employees, Paid Sick Time, Paid Parental Bonding Leave, and holiday pay \uD83D\uDCB0 Financial Security: 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA \uD83E\uDD38‍ Wellness: Employee Assistance Program (EAP) and comprehensive wellness initiatives \uD83C\uDF31 Growth: Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Nextiva is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Nextiva participates in the E-Verify Program where and as required by law. For additional information about E-Verify visit USCIS. #LI-MS1 #LI-Remote Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform. Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.", "summaryDescription" : "Staff DevOps Engineer at Nextiva. Skills: DevOps, Cloud Engineering, CI/CD. Design infrastructure. 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Denver, Colorado, United States; San Francisco, California, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, AWS, GCP, Azure, Python, Prometheus, Grafana, OpenTelemetry, Loki, ELK, Jaeger, Tempo", "professionalSkills" : [ "Platform engineering", "Infrastructure development", "Cloud abstraction", "Cross-cloud identity", "Data movement", "Traffic routing", "Encryption keys", "Cluster architecture", "Workload isolation", "Tenancy", "Operational ownership", "Infrastructure services", "Internal tooling", "Reliability", "Observability", "SLIs/SLOs", "Monitoring", "Incident response", "CI/CD pipelines", "Deployment workflows", "Infrastructure automation", "Developer toil reduction", "Technical direction", "Roadmap development" ], "hardSkillsList" : [ "Kubernetes cluster architecture", "Kubernetes networking", "Kubernetes scaling", "Kubernetes upgrades", "Production operations", "Infrastructure tooling", "Backend systems", "Production systems", "Cloud boundaries management", "Identity management", "Networking management", "Data management", "Traffic routing management", "Failover management", "Observability tooling", "Infrastructure as code", "Incident response management", "Secrets management", "Least privilege" ], "hardSkills" : [ { "name" : "Kubernetes cluster architecture", "level" : "intermediate" }, { "name" : "Kubernetes networking", "level" : "intermediate" }, { "name" : "Kubernetes scaling", "level" : "intermediate" }, { "name" : "Kubernetes upgrades", "level" : "intermediate" }, { "name" : "Production operations", "level" : "intermediate" }, { "name" : "Infrastructure tooling", "level" : "intermediate" }, { "name" : "Backend systems", "level" : "intermediate" }, { "name" : "Production systems", "level" : "intermediate" }, { "name" : "Cloud boundaries management", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Networking management", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Traffic routing management", "level" : "intermediate" }, { "name" : "Failover management", "level" : "intermediate" }, { "name" : "Observability tooling", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Incident response management", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "Least privilege", "level" : "intermediate" } ], "majorSkills" : "Multi-cloud platform engineering, Kubernetes, Cloud infrastructure", "majorSkillsList" : [ "Multi-cloud platform engineering", "Kubernetes", "Cloud infrastructure" ], "coreResponsibilities" : "Design core infrastructure, Build core infrastructure, Maintain core infrastructure, Own Kubernetes-based platforms, Evolve Kubernetes-based platforms, Drive multi-cloud initiatives, Define platform standards, Scale infrastructure services, Automate infrastructure services, Scale internal tooling, Automate internal tooling, Raise reliability bar, Raise observability bar, Design CI/CD pipelines, Improve CI/CD pipelines, Design deployment workflows, Improve deployment workflows, Design infrastructure automation, Improve infrastructure automation, Design paved paths, Improve paved paths, Lead platform efforts, Reduce developer toil, Improve developer velocity, Partner on technical direction, Partner on roadmap", "teamCollaboration" : "Work with teammates; Partner with leadership", "domainKnowledge" : "Cloud abstraction patterns; Cross-cloud identity; Customer-managed encryption keys; MLOps", "domainList" : [ "cloud-abstraction-patterns", "cross-cloud-identity", "customer-managed-encryption-keys", "mlops" ], "domainSpecificKnowledge" : [ "Cloud abstraction patterns", "Cross-cloud identity", "Customer-managed encryption keys", "MLOps" ], "toolProficiency" : [ "EKS", "GKE", "AKS", "Prometheus", "Grafana", "OpenTelemetry", "Loki", "ELK", "Jaeger", "Tempo" ], "qualificationsBasic" : "8+ years software engineering experience, Emphasis on infrastructure and platform development, Deep, hands-on experience with managed Kubernetes, Python skills applied to infrastructure tooling, Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure, Experience managing infrastructure across cloud boundaries, Comfortable with high ownership and ambiguity", "qualificationsPreferred" : "DevOps and SRE practices, Security fundamentals, Exposure to MLOps, Early-stage startup experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT COMPA Compa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. The role As a Staff Engineer on the Platform team, you'll own and lead platform engineering across our cloud, data, and AI/ML systems. Multi-cloud is central to what we're building, not a future initiative! You'll work closely with your teammates and engineering leadership to set direction, and build the foundation that lets every team at Compa move fast, strategically. This is a high-ownership individual contributor role where your decisions shape how the enterprise builds and ships. What you'll do - Design, build, and maintain core infrastructure across cloud, data, and AI/ML systems - Own and evolve Compa's Kubernetes-based platforms across AWS, GCP, and Azure - Drive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keys - Define platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownership - Scale and automate infrastructure services and internal tooling - Raise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident response - Design and improve CI/CD pipelines, deployment workflows, infrastructure automation and paved paths for engineering teams - Lead platform efforts that reduce developer toil and improve velocity - Partner with leadership on technical direction and roadmap - Act as a multiplier, setting standards that help engineers around you level-up What we're looking for - 8+ years of software engineering experience with a strong emphasis on infrastructure and platform development - Deep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operations - Strong Python skills applied to infrastructure tooling and backend systems - Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-have - Experience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failover - Observability tooling experience such as Prometheus, Grafana,, OpenTelemetry, Loki or ELK, Jeager, or Tempo - Comfortable with high ownership and ambiguity - you've built things without a playbook before Nice to have - DevOps and SRE practices: infrastructure as code, CI/CD, incident response - Security fundamentals: IAM, secrets management, encryption, least privilege - Exposure to MLOps - Early-stage startup experience", "summaryDescription" : "Staff Multi-Cloud Platform Engineer at Compa. Skills: Multi-cloud platform engineering, Kubernetes, Cloud infrastructure. Design core infrastructure. 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Denver, Colorado, United States; San Francisco, California, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, AWS, GCP, Azure, Python, Prometheus, Grafana, OpenTelemetry, Loki, ELK, Jaeger, Tempo", "professionalSkills" : [ "Platform engineering", "Infrastructure development", "Cloud abstraction", "Cross-cloud identity", "Data movement", "Traffic routing", "Encryption keys", "Cluster architecture", "Workload isolation", "Tenancy", "Operational ownership", "Infrastructure services", "Internal tooling", "Reliability", "Observability", "SLIs/SLOs", "Monitoring", "Incident response", "CI/CD pipelines", "Deployment workflows", "Infrastructure automation", "Developer toil reduction", "Technical direction", "Roadmap development" ], "hardSkillsList" : [ "Managed Kubernetes operations", "Cloud infrastructure management", "Infrastructure automation", "CI/CD pipeline design", "Observability implementation" ], "hardSkills" : [ { "name" : "Managed Kubernetes operations", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "CI/CD pipeline design", "level" : "intermediate" }, { "name" : "Observability implementation", "level" : "intermediate" } ], "majorSkills" : "Multi-cloud platforms, Kubernetes, Infrastructure as code, Platform engineering", "majorSkillsList" : [ "Multi-cloud platforms", "Kubernetes", "Infrastructure as code", "Platform engineering" ], "coreResponsibilities" : "Design core infrastructure, Build core infrastructure, Maintain core infrastructure, Own platform evolution, Lead platform engineering, Drive multi-cloud initiatives, Define platform standards, Scale infrastructure services, Automate infrastructure services, Automate internal tooling, Raise reliability bar, Raise observability bar, Design CI/CD pipelines, Improve CI/CD pipelines, Design deployment workflows, Improve deployment workflows, Design infrastructure automation, Improve infrastructure automation, Create paved paths, Lead platform efforts, Reduce developer toil, Improve engineering velocity, Partner on technical direction, Partner on roadmap development, Act as multiplier, Set standards for engineers", "teamCollaboration" : "Work with teammates; Partner with leadership", "domainKnowledge" : "Cloud platforms; Data systems; AI/ML systems; Multi-cloud architecture; Cloud abstraction patterns; Cross-cloud identity; Cloud networking; Data movement; Traffic routing; Customer-managed encryption keys; Kubernetes cluster architecture; Workload isolation; Tenancy; Networking; Security; Scaling; Upgrades; Operational ownership; Infrastructure services; Internal tooling; Reliability; Observability; SLIs/SLOs; Monitoring; Incident response; CI/CD pipelines; Deployment workflows; Infrastructure automation; Developer toil; Engineering velocity; Technical direction; Roadmap; DevOps practices; SRE practices; Infrastructure as code; Security fundamentals; IAM; Secrets management; Encryption; Least privilege; MLOps", "domainList" : [ "cloud-platforms", "data-systems", "ai-ml-systems", "multi-cloud-architecture", "cloud-abstraction-patterns", "cross-cloud-identity", "cloud-networking", "data-movement", "traffic-routing", "customer-managed-encryption-keys", "kubernetes-cluster-architecture", "workload-isolation", "tenancy", "networking", "security", "scaling", "upgrades", "operational-ownership", "infrastructure-services", "internal-tooling", "reliability", "observability", "slis-slos", "monitoring", "incident-response", "ci-cd-pipelines", "deployment-workflows", "infrastructure-automation", "developer-toil", "engineering-velocity", "technical-direction", "roadmap", "devops-practices", "sre-practices", "infrastructure-as-code", "security-fundamentals", "iam", "secrets-management", "encryption", "least-privilege", "mlops" ], "domainSpecificKnowledge" : [ "Cloud platforms", "Data systems", "AI/ML systems", "Multi-cloud architecture", "Cloud abstraction patterns", "Cross-cloud identity", "Cloud networking", "Data movement", "Traffic routing", "Customer-managed encryption keys", "Kubernetes cluster architecture", "Workload isolation", "Tenancy", "Networking", "Security", "Scaling", "Upgrades", "Operational ownership", "Infrastructure services", "Internal tooling", "Reliability", "Observability", "SLIs/SLOs", "Monitoring", "Incident response", "CI/CD pipelines", "Deployment workflows", "Infrastructure automation", "Developer toil", "Engineering velocity", "Technical direction", "Roadmap", "DevOps practices", "SRE practices", "Infrastructure as code", "Security fundamentals", "IAM", "Secrets management", "Encryption", "Least privilege", "MLOps" ], "toolProficiency" : [ "Kubernetes", "EKS", "GKE", "AKS", "Prometheus", "Grafana", "OpenTelemetry", "Loki", "ELK", "Jaeger", "Tempo" ], "qualificationsBasic" : "8+ years software engineering experience, Emphasis on infrastructure and platform development, Deep, hands-on experience with managed Kubernetes, Python skills applied to infrastructure tooling, Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure, Experience managing infrastructure across cloud boundaries, Comfortable with high ownership and ambiguity", "qualificationsPreferred" : "DevOps and SRE practices, Security fundamentals, Exposure to MLOps, Early-stage startup experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT COMPA Compa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. The role As a Staff Engineer on the Platform team, you'll own and lead platform engineering across our cloud, data, and AI/ML systems. Multi-cloud is central to what we're building, not a future initiative! You'll work closely with your teammates and engineering leadership to set direction, and build the foundation that lets every team at Compa move fast, strategically. This is a high-ownership individual contributor role where your decisions shape how the enterprise builds and ships. What you'll do - Design, build, and maintain core infrastructure across cloud, data, and AI/ML systems - Own and evolve Compa's Kubernetes-based platforms across AWS, GCP, and Azure - Drive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keys - Define platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownership - Scale and automate infrastructure services and internal tooling - Raise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident response - Design and improve CI/CD pipelines, deployment workflows, infrastructure automation and paved paths for engineering teams - Lead platform efforts that reduce developer toil and improve velocity - Partner with leadership on technical direction and roadmap - Act as a multiplier, setting standards that help engineers around you level-up What we're looking for - 8+ years of software engineering experience with a strong emphasis on infrastructure and platform development - Deep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operations - Strong Python skills applied to infrastructure tooling and backend systems - Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-have - Experience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failover - Observability tooling experience such as Prometheus, Grafana,, OpenTelemetry, Loki or ELK, Jeager, or Tempo - Comfortable with high ownership and ambiguity - you've built things without a playbook before Nice to have - DevOps and SRE practices: infrastructure as code, CI/CD, incident response - Security fundamentals: IAM, secrets management, encryption, least privilege - Exposure to MLOps - Early-stage startup experience", "summaryDescription" : "Staff Multi-Cloud Platform Engineer at Compa. Skills: Multi-cloud platforms, Kubernetes, Infrastructure as code, Platform engineering. Design core infrastructure. Build core infrastructure", "createdAt" : "2026-06-16T02:00:15.320", "lastUpdated" : "2026-06-16T12:04:59.120", "ingestTimestamp" : "2026-06-16T02:00:15.320", "mongoId" : "6a3084a2f292fd229c0748d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 225000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Managed Kubernetes operations", "Cloud infrastructure management", "Infrastructure automation", "CI/CD pipeline design", "Observability implementation", "Multi-cloud platforms", "Kubernetes", "Infrastructure as code", "Platform engineering", "Infrastructure development", "Cloud abstraction", "Cross-cloud identity", "Data movement", "Traffic routing", "Encryption keys", "Cluster architecture", "Workload isolation", "Tenancy", "Operational ownership", "Infrastructure services", "Internal tooling", "Reliability", "Observability", "SLIs/SLOs", "Monitoring", "Incident response", "CI/CD pipelines", "Deployment workflows", "Developer toil reduction", "Technical direction", "Roadmap development", "Cloud platforms", "Data systems", "AI/ML systems", "Multi-cloud architecture", "Cloud abstraction patterns", "Cloud networking", "Customer-managed encryption keys", "Kubernetes cluster architecture", "Networking", "Security", "Scaling", "Upgrades", "Developer toil", "Engineering velocity", "Roadmap", "DevOps practices", "SRE practices", "Security fundamentals", "IAM", "Secrets management", "Encryption", "Least privilege", "MLOps", "EKS", "GKE", "AKS", "Prometheus", "Grafana", "OpenTelemetry", "Loki", "ELK", "Jaeger", "Tempo" ], "skillCount" : 64, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 891.8804, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3086f2f292fd229c08488a", "title" : "Staff Engineer", "company" : "ChargePoint", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Engineer in the Technology industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "IN-Karnataka-Bangalore", "locations" : [ "IN-Karnataka-Bangalore" ], "timestamp" : "2026-06-16T11:04:23.918", "fingerprint" : "be4ef0813ae65845c722f61ddd0f2a10c9ee22fd4a4e8270bff97281bec36ec6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.chargepoint.com/about/opportunities/job/?gh_jid=8591782002", "externalId" : "8591782002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. Reports To Director, NOC Delivery often benefiting from tried-and-true techniques Put user value before tech, learn quickly, work iteratively and naturally seek collaboration Strong communication skills Comfortable working as a team, helping train, guide, and lead others in building projects start to finish Perform code reviews Requirements 8+ years Engineer experience, extensively with Django/Flask, React and relational databases in microservice based architecture Bachelor’s degree in Computer Science, Computer Engineering preferred Strong experience with AWS technologies, including Route53, CloudFront, API Gateway, Aurora RDS, DynamoDB, ElasticCache, EKS, ECS, S3, AWS SDK, Lambda,and SQS Proficient in writing unit and integration test cases and hands-on experience with complete CI/CD tooling, including GIT, CICD tools, and security scans Knowledge of Linux administration, adept at using console commands, scripting, and utilities such as Python and BASH Demonstrated experience in building REST APIs and utilizing OpenAPI/Swagger Spec Proven experience with Agile Development, CI/CD tools, project tracking tools, and familiarity with GRPC, GraphQL, and automation tools like Ansible, Chef, Puppet. Experience in 3 party integrations and custom application development and deployment Proficient in SQL/NoSQL and other databases/persistent stores including: MySQL, Postgres, Redis, DynamoDB, ElasticSearch and MongoDB Experience with BI Tools like Tableau, PowerBI Experiences desired: Experience dealing with large scale, technologically complex accounts which are constantly challenging product capabilities Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization. Location Bangalore , India We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. If there is a match between your experiences/skills and the Company needs, we will contact you directly. ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process. If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com. ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.", "summaryDescription" : "Staff Engineer at ChargePoint", "postedDate" : "2026-06-16T01:21:39.794", "createdAt" : "2026-06-16T01:21:39.794", "lastUpdated" : "2026-06-16T11:04:23.918", "ingestTimestamp" : "2026-06-16T01:21:39.794", "mongoId" : "6a3086f2f292fd229c08488a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 890.6337, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a6c74d8ee00a090bcb0", "title" : "Staff Engineer", "company" : "Bankrate", "industry" : "FinTech", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer in FinTech, adjusted for executive seniority in New York, USA." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T13:21:16.679", "fingerprint" : "75fa83be7020a5026193831ceb76e9386644dbf764f3d47cf401315d5ca500cf", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://bankrate.com/careers/current-openings?gh_jid=7898972", "externalId" : "7898972", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "35.2272086,-80.8430827" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; Charlotte, North Carolina, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Software engineering, Cloud infrastructure, Secure design", "professionalSkills" : [ "Technical evaluation", "Architectural direction", "Technical design", "Trade-off decisions", "Design patterns", "Operational excellence", "Engineering best practices" ], "hardSkillsList" : [ "System design", "Technical coaching", "Pair programming" ], "softSkillsList" : [ "Mentoring", "Experimentation", "Autonomy" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Technical coaching", "level" : "intermediate" }, { "name" : "Pair programming", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Experimentation" }, { "name" : "Autonomy" } ], "majorSkills" : "Software architecture, Cloud infrastructure, System design", "majorSkillsList" : [ "Software architecture", "Cloud infrastructure", "System design" ], "coreResponsibilities" : "Solve complex problems, Act as technical consultant, Architect solutions, Influence architectural direction, Mentor engineers, Spot emerging technology opportunities, Keep systems scalable, Keep systems secure, Keep systems cost-effective, Lead technical design, Plan large-scale initiatives, Execute large-scale initiatives, Assess trade-off decisions, Define technical stories, Deliver technical stories, Conduct architectural reviews, Identify areas for simplification, Identify areas for modernization, Identify areas for risk reduction, Develop engineers, Champion consistency, Contribute to culture", "teamCollaboration" : "Cross-team collaboration; Partner with stakeholders; Align technical direction; Broader Staff group", "projectManagementSkills" : [ "Technical planning" ], "domainKnowledge" : "Financial decision-making; Financial services; AI innovation; Enterprise integrations", "domainList" : [ "financial-decision-making", "financial-services", "ai-innovation", "enterprise-integrations" ], "domainSpecificKnowledge" : [ "Financial decision-making", "Financial services", "AI innovation", "Enterprise integrations" ], "communicationSkills" : "Simplify complex ideas; Influence decisions; Align diverse stakeholders", "continuousLearning" : "Continuous learning; Emerging technologies", "innovationCreativity" : "Innovation; Experimentation", "problemSolvingSkills" : "Solve complex problems; Evaluate trade-offs", "specialRequirements" : "Eastern Standard Time hours", "outcomesObjectives" : "Advance Bankrate's goals; Create business value; Improve integrity; Improve performance; Improve sustainability; Reduce risk", "qualificationsBasic" : "Advanced expertise in software engineering, Architecting and delivering scalable systems, Systems thinking, Deep understanding of software architecture, Understanding of modern cloud infrastructure, Understanding of secure design practices", "qualificationsPreferred" : "Experience with emerging technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours. As a Staff Engineer at Bankrate, you sit at the intersection of deep technical expertise and strategic business thinking — the rare engineer who can see both the forest and the trees. You'll architect solutions to complex, cross-team challenges, ensuring every technology decision directly advances Bankrate's goals. That means influencing architectural direction, mentoring engineers, and spotting where emerging technology can unlock growth, efficiency, or a better customer experience — all while keeping systems scalable, secure, and cost-effective. If you're energized by solving hard problems that matter beyond your immediate team, this role is built for you. What You’ll Do: Solve complex, mission-critical problems that require cross-team collaboration and deep technical evaluation. Act as a trusted technical consultant and architect for multiple teams within an industry group. Partner with product and business stakeholders to align technical direction with measurable outcomes and company goals. Explore and evaluate emerging technologies, identifying opportunities to leverage new tools, frameworks, or paradigms that create business value. Lead technical design, planning, and execution for large-scale initiatives that span multiple systems in their product domains. Assess and execute trade-off decisions between performance, scalability, maintainability, and cost. Define and deliver technical stories that improve the integrity, performance, and long-term sustainability of shared systems. Conduct architectural reviews with the broader Staff group and proactively identify areas for simplification, modernization, and risk reduction. Mentor and develop engineers through design reviews, pair programming, and technical coaching. Champion consistency in design patterns, operational excellence, and engineering best practices across teams. Contribute to a culture of continuous learning and innovation — modeling curiosity, experimentation, and collaboration. What We’re Looking For: Demonstrated advanced expertise in multiple software engineering disciplines and ability to apply that expertise to solve complex, cross-domain problems. Proven record of architecting and delivering scalable, resilient systems that align with long-term business and product strategy. Strong systems thinking - able to connect architectural decisions to operational, security, and organizational outcomes. Exceptional communication skills with the ability to simplify complex ideas, influence decisions, and align diverse stakeholders. Deep understanding of software architecture principles, modern cloud infrastructure, and secure design practices. Demonstrated curiosity and commitment to continuous learning - proactive exploration of emerging technologies and assessing their business relevance. Skilled at mentoring and elevating engineering talent through constructive feedback, design guidance, pair programming, and modeling technical excellence. Balances technical rigor with pragmatic judgment, ensuring solutions are both robust and cost-effective. Operates with autonomy and accountability, influencing technical direction across multiple teams and driving alignment toward shared outcomes. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: $130,000 - $210,000 per year New York Cash Compensation Range: $162,500 - $262,500 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Bankrate is redefining the future of financial decision-making. For nearly five decades, we’ve empowered tens of millions of consumers to make smarter financial choices and helped hundreds of leading financial institutions grow. Today, we’re evolving from a marketplace into a next-generation technology platform—underpinned by proprietary data, AI-driven innovation, and deep enterprise integrations. With our track record of delivering consumers quantifiably better offers—for example, on home loans where we lead the market—Bankrate stands at the center of the $60B U. S. financial services acquisition opportunity. As we expand through omnichannel marketing and strategic partnerships, and launch unique consumer product applications, we’re building a more efficient, personalized, and connected financial ecosystem—one grounded in trust. Join us as we transform five decades of credibility into the next era of financial technology. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U. S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there! #li-ac2 #li-remote #br", "summaryDescription" : "Staff Engineer at Bankrate. Skills: Software architecture, Cloud infrastructure, System design. Solve complex problems. Act as technical consultant", "postedDate" : "2026-06-14T08:07:46.539", "createdAt" : "2026-06-14T08:07:46.539", "lastUpdated" : "2026-06-15T13:21:16.679", "ingestTimestamp" : "2026-06-14T08:07:46.539", "mongoId" : "6a2c6a6c74d8ee00a090bcb0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "System design", "Technical coaching", "Pair programming", "Mentoring", "Experimentation", "Autonomy", "Software architecture", "Cloud infrastructure", "Technical evaluation", "Architectural direction", "Technical design", "Trade-off decisions", "Design patterns", "Operational excellence", "Engineering best practices", "Technical planning", "Financial decision-making", "Financial services", "AI innovation", "Enterprise integrations" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 887.0713, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306fd5f292fd229cfed7f4", "title" : "Software Engineer, Core Infrastructure", "company" : "Stripe", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Sydney, Australia, adjusted for the FinTech industry and a large company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T13:45:12.405", "fingerprint" : "c7681816b1e41eab6b79768fedfb8371ea5e4a744e42a74d25eb11fb210860d5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7975725", "externalId" : "7975725", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Cloud infrastructure, Platform services, Distributed systems, Operating system primitives, AWS, Azure, GCP, Oracle Cloud, Go, Rust, C/C++, Linux OS, Kubernetes, Container orchestration, Mesh networking, Service discovery", "professionalSkills" : [ "System design", "Roadmap planning", "Prioritization" ], "hardSkillsList" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Operating system primitives", "level" : "intermediate" }, { "name" : "Observability practices", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Kernel-level troubleshooting", "level" : "intermediate" }, { "name" : "Container mechanics", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Cloud infrastructure, Platform services, Observability", "majorSkillsList" : [ "Distributed systems", "Cloud infrastructure", "Platform services", "Observability" ], "coreResponsibilities" : "Design distributed cloud infrastructure, Build distributed cloud infrastructure, Maintain distributed cloud infrastructure, Build platform services, Maintain platform services, Scale infrastructure services, Automate infrastructure services, Ensure reliability of infrastructure services, Improve observability of infrastructure services, Operate services, Debug issues, Support customers, Participate in roadmap planning, Participate in prioritization", "teamCollaboration" : "Collaboration with product teams; Collaboration with various teams; Collaboration with external partners; Collaboration with open source community", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Financial infrastructure; Distributed systems; Cloud infrastructure; Operating system primitives; Container orchestration; Mesh networking; Service discovery", "domainList" : [ "financial-infrastructure", "distributed-systems", "cloud-infrastructure", "operating-system-primitives", "container-orchestration", "mesh-networking", "service-discovery" ], "domainSpecificKnowledge" : [ "Financial infrastructure", "Distributed systems", "Cloud infrastructure", "Operating system primitives", "Container orchestration", "Mesh networking", "Service discovery" ], "toolProficiency" : [ "Kubernetes" ], "problemSolvingSkills" : "Debugging distributed systems; Diagnosing low-level resource constraints; Troubleshooting", "qualificationsBasic" : "3+ years of professional experience, Experience building, deploying, and managing infrastructure on a major cloud provider, Engineering background in building platform services and/or distributed systems at scale, Solid grasp of underlying operating system primitives, Experience developing, maintaining, and debugging distributed systems, Diagnosing low-level resource constraints, Experience with operational excellence, Modern observability practices", "qualificationsPreferred" : "Experience with popular cloud technologies, Experience with Go or other systems languages, Experience with Linux OS internals, Performance optimization experience, Kernel-level troubleshooting experience, Experience working with Kubernetes clusters, Low-level container mechanics experience, Experience in networking and traffic systems at scale, Experience handling critical incidents for production systems", "remoteFriendly" : false, "rawDescription" : "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing cloud components for compute, cache, and networking. You will also build a great customer experience for internal Stripe teams that build on your software to power all of our products, globally and at scale. Responsibilities Design, build, and maintain distributed cloud infrastructure and platform services Work on scaling, automation, reliability, and observability of infrastructure services Operate your service, debug issues, and support customers Participate in roadmap planning and prioritization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 3+ years of professional experience in a software development role Experience building, deploying, and managing infrastructure on a major cloud provider A strong engineering background in building platform services and/or distributed systems at scale, with a solid grasp of underlying operating system primitives Experience developing, maintaining, and debugging distributed systems, including diagnosing low-level resource constraints Experience with operational excellence and modern observability practices, including distributed tracing, structured logging, and system-level metrics Preferred Qualifications Experience with popular cloud technologies — AWS, Azure, GCP, or Oracle Cloud Experience with Go or other systems languages (e.g., Rust, C/C++) Experience with Linux OS internals, performance optimization, and kernel-level troubleshooting Experience working with Kubernetes clusters and low-level container mechanics Experience in networking and traffic systems at scale Experience handling critical incidents for production systems", "summaryDescription" : "Software Engineer, Core Infrastructure at Stripe. Skills: Distributed systems, Cloud infrastructure, Platform services, Observability. Design distributed cloud infrastructure. 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We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. REQUIREMENTS: * Experience - 5.5+yrs years * Strong experience in ServiceNow ITOM, CMDB, and Service Mapping * Hands-on experience in ServiceNow integrations * Experience in other modules like SPM or GRC or HRSD along with ITIL knowledge * ServiceNow certification (any module) * Strong understanding of ITOM and Service Mapping concepts * Ability to translate business requirements into technical solutions * Experience in developing and implementing technical solutions and performing integration testing * Experience with ServiceNow scripting (Business Rules, Client Scripts, UI Policies, UI Actions) * Good understanding of CMDB data model and relationships * Strong communication and stakeholder management skills * Ability to work in a global delivery environment RESPONSIBILITIES: * Work with the ServiceNow team to implement solutions across global locations * Provide technical expertise in ServiceNow ITOM module, especially Service Mapping * Design and implement ServiceNow integrations * Understand business needs and align them with standardized processes and system design * Develop and implement technical solutions on the ServiceNow platform * Perform component integration testing and ensure quality delivery * Support UAT and production deployments * Collaborate with cross-functional teams for seamless project execution * Troubleshoot and resolve technical issues * Ensure adherence to best practices and continuous improvement * Participate in design and code reviews and provide recommendations ## Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field", "summaryDescription" : "Staff Engineer at Nagarro. Skills: ServiceNow ITOM, Service Mapping, ServiceNow integrations. Implement solutions across global locations. Provide technical expertise in ServiceNow ITOM", "postedDate" : "2026-06-15T10:43:42.000", "createdAt" : "2026-06-16T03:37:54.223", "lastUpdated" : "2026-06-16T11:39:44.316", "ingestTimestamp" : "2026-06-16T03:37:54.223", "mongoId" : "6a308de0f292fd229c0a1826", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ITIL knowledge", "CMDB data model", "CMDB relationships", "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations", "Technical solutions", "Integration testing", "Stakeholder management", "ITOM", "ITIL", "ServiceNow certification", "ServiceNow" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 874.5305, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305452f292fd229cf173c1", "title" : "Staff Engineer", "company" : "Nagarro", "industry" : "Information Technology And Services", "salary" : { "min" : 2800000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff Engineer in the Technology industry in India, adjusted for seniority and remote work." }, "location" : "Remote, IN", "locations" : [ "Remote", "IN" ], "certifications" : [ "ServiceNow certification" ], "timestamp" : "2026-06-16T08:39:04.624", "fingerprint" : "8c7dc1c9fc2311aedf35f74bb173d9eaf4cb3a1040f9c3d5a59098b3137ac262", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Nagarro1/744000132167570-staff-engineer", "externalId" : "744000132167570", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "not-applicable", "technicalSkills" : "ServiceNow ITOM, CMDB, Service Mapping, ServiceNow integrations, SPM, GRC, HRSD, ServiceNow scripting, Business Rules, Client Scripts, UI Policies, UI Actions", "professionalSkills" : [ "Technical solutions", "Integration testing", "Stakeholder management" ], "hardSkillsList" : [ "ITIL knowledge" ], "hardSkills" : [ { "name" : "ITIL knowledge", "level" : "intermediate" } ], "majorSkills" : "ServiceNow ITOM, Service Mapping, ServiceNow integrations", "majorSkillsList" : [ "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations" ], "coreResponsibilities" : "Implement solutions across global locations, Provide technical expertise in ServiceNow ITOM, Provide technical expertise in Service Mapping, Design ServiceNow integrations, Implement ServiceNow integrations, Understand business needs, Align business needs with standardized processes, Align business needs with system design, Develop technical solutions on ServiceNow, Implement technical solutions on ServiceNow, Perform component integration testing, Ensure quality delivery, Support UAT deployments, Support production deployments, Collaborate with cross-functional teams, Troubleshoot technical issues, Resolve technical issues, Ensure adherence to best practices, Ensure continuous improvement, Participate in design reviews, Participate in code reviews, Provide recommendations", "teamCollaboration" : "Global delivery environment; Cross-functional teams", "domainKnowledge" : "ITOM; Service Mapping; CMDB data model; ITIL", "domainList" : [ "itom", "service-mapping", "cmdb-data-model", "itil" ], "domainSpecificKnowledge" : [ "ITOM", "Service Mapping", "CMDB data model", "ITIL" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Stakeholder management", "problemSolvingSkills" : "Troubleshoot technical issues; Resolve technical issues", "outcomesObjectives" : "Ensure quality delivery; Ensure adherence to best practices; Ensure continuous improvement", "qualificationsBasic" : "5+ years experience in ServiceNow ITOM, 5+ years experience in CMDB, 5+ years experience in Service Mapping, Hands-on experience in ServiceNow integrations, Experience in other modules like SPM or GRC or HRSD, ITIL knowledge, Understanding of ITOM concepts, Understanding of Service Mapping concepts, Ability to translate business requirements into technical solutions, Experience in developing and implementing technical solutions, Experience in performing integration testing, Experience with ServiceNow scripting, Good understanding of CMDB data model, Good understanding of CMDB relationships, Ability to work in a global delivery environment, Bachelor’s or master’s degree in computer science, Bachelor’s or master’s degree in Information Technology, Bachelor’s or master’s degree in a related field", "qualificationsPreferred" : "ServiceNow certification (any module)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDC4B\uD83C\uDFFC We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. REQUIREMENTS: * Experience - 5.5+yrs years * Strong experience in ServiceNow ITOM, CMDB, and Service Mapping * Hands-on experience in ServiceNow integrations * Experience in other modules like SPM or GRC or HRSD along with ITIL knowledge * ServiceNow certification (any module) * Strong understanding of ITOM and Service Mapping concepts * Ability to translate business requirements into technical solutions * Experience in developing and implementing technical solutions and performing integration testing * Experience with ServiceNow scripting (Business Rules, Client Scripts, UI Policies, UI Actions) * Good understanding of CMDB data model and relationships * Strong communication and stakeholder management skills * Ability to work in a global delivery environment RESPONSIBILITIES: * Work with the ServiceNow team to implement solutions across global locations * Provide technical expertise in ServiceNow ITOM module, especially Service Mapping * Design and implement ServiceNow integrations * Understand business needs and align them with standardized processes and system design * Develop and implement technical solutions on the ServiceNow platform * Perform component integration testing and ensure quality delivery * Support UAT and production deployments * Collaborate with cross-functional teams for seamless project execution * Troubleshoot and resolve technical issues * Ensure adherence to best practices and continuous improvement * Participate in design and code reviews and provide recommendations ## Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field", "summaryDescription" : "Staff Engineer at Nagarro. 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Provide technical expertise in ServiceNow ITOM", "postedDate" : "2026-06-15T10:43:42.000", "createdAt" : "2026-06-15T23:35:56.843", "lastUpdated" : "2026-06-16T08:39:04.624", "ingestTimestamp" : "2026-06-15T23:35:56.843", "mongoId" : "6a305452f292fd229cf173c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ITIL knowledge", "ServiceNow ITOM", "Service Mapping", "ServiceNow integrations", "Technical solutions", "Integration testing", "Stakeholder management", "ITOM", "CMDB data model", "ITIL", "ServiceNow certification", "ServiceNow" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 874.5305, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6edb9", "title" : "Mechanical Engineer Manager, Design Engineering, DC Design Engineering", "company" : "Amazon Corporate Services Pty Ltd", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 205000.0, "max" : 315000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager level Mechanical Engineer in Sydney, Australia, adjusted for the technology industry and large company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-16T04:13:48.790", "fingerprint" : "19a5654682c7c8b1660a2db0ae8148f8eaa961461f90fb01160d9e679ad01e06", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070440/apply", "externalId" : "f0df6399-9fde-4314-b9ce-b1be5fde7205", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services 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. Our Data Center Design Engineering team is seeking an exceptional Mechanical Design Engineering Manager to drive transformative mechanical design solutions across the Asia-Pacific region. You'll be at the forefront of developing next-generation data center technologies, shaping critical infrastructure that powers global cloud computing. Key job responsibilities - Lead and develop a high-performing mechanical design engineering team across the Asia-Pacific region - Drive the team's global design consistency and standardization of mechanical systems across multiple geographical regions - Manage and approve mechanical equipment innovations and design submissions - Establish robust processes for internal design development and third-party vendor management - Oversee procurement and technical specifications for mechanical Owner Furnished Contractor Installed (OFCI) equipment - Manage team reporting, hiring, growth opportunities, annual goal reporting, KPIs and performance reviews A day in the life Imagine leading a dynamic team of mechanical engineers who are re-imagining how data centers are designed and built. Your day will involve strategic planning, innovative design reviews, and collaborating with cross-functional teams to develop mechanical solutions. You'll navigate complex technical challenges, manage vendor relationships, and make critical decisions that impact our global data center infrastructure. About the team About AWS Diverse Experiences Amazon 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. 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and 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. Basic Qualifications: - Bachelor's degree in Mechanical Engineering or related discipline - Extensive experience in mission-critical design - Proven track record in project management - Experience managing a team of mechanical engineers Preferred Qualifications: - Advanced degree in Mechanical Engineering - Professional Engineering license - Comprehensive understanding of data center design and critical equipment - Expertise in building codes and regulations across the Asia-Pacific region - Experience with fast-track design and complex upgrade projects - Strong ability to develop and communicate complex technical business cases Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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" : "Mechanical Engineer Manager, Design Engineering, DC Design Engineering at Amazon Corporate Services Pty Ltd", "postedDate" : "2026-06-14T20:22:01.794", "createdAt" : "2026-06-14T20:22:01.794", "lastUpdated" : "2026-06-16T04:13:48.790", "ingestTimestamp" : "2026-06-14T20:22:01.794", "mongoId" : "68b706957fc9a711f0f6edb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070440/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 873.17596, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa731", "title" : "Staff Software Engineer", "industry" : "IT", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Staff Software Engineer in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T14:15:17.840", "fingerprint" : "dbc6a79da57471e10bf432e83736bffc3005f917dc62456e9f8859d352603c2b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e5f41495-2a80-4b46-935e-6c5bd916d63c/apply", "externalId" : "e5f41495-2a80-4b46-935e-6c5bd916d63c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Ruby on Rails, TypeScript, SQL, PostgreSQL", "professionalSkills" : [ "System design", "Technical documentation", "Architectural planning" ], "hardSkillsList" : [ "Full-stack development", "Backend development", "Software engineering", "System architecture", "Technical design", "Distributed systems", "Event-driven systems", "Relational databases" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Full-stack development", "level" : "intermediate" }, { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Technical design", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Full-stack architecture, System design, Ruby on Rails, TypeScript", "majorSkillsList" : [ "Full-stack architecture", "System design", "Ruby on Rails", "TypeScript" ], "coreResponsibilities" : "Lead architectural design, Define technical vision, Ensure alignment with goals, Design software, Develop software, Maintain software, Own architectural planning, Own system design, Own technical documentation, Identify technical risks, Assess technical risks, Mitigate technical risks, Partner with Product teams, Partner with Design teams, Translate requirements, Mentor engineers, Drive engineering excellence, Refactor code, Automate processes, Implement testing strategies, Drive continuous improvement, Influence engineering strategy, Collaborate with leaders, Shape architectural direction, Support delivery of applications, Contribute to scaling systems, Contribute to scaling practices", "teamCollaboration" : "Scrum teams; Product teams; Design teams; Multiple engineering teams; Senior technical leaders", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Scalable systems; Distributed systems; Full-stack systems; Event-driven systems", "domainList" : [ "scalable-systems", "distributed-systems", "full-stack-systems", "event-driven-systems" ], "domainSpecificKnowledge" : [ "Scalable systems", "Distributed systems", "Full-stack systems", "Event-driven systems" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Technical documentation", "continuousLearning" : "Learning and development support; Continuous technical growth; Continuous improvement", "problemSolvingSkills" : "Identify technical risks; Assess technical risks; Mitigate technical risks", "outcomesObjectives" : "Support fast applications; Support reliable applications; Support scalable applications; Support customer-facing platforms; Support internal platforms; Support organizational growth; Support product growth", "qualificationsBasic" : "8+ years software engineering experience, Full-stack or backend-heavy roles, Ruby on Rails expertise, TypeScript expertise, SQL experience, Relational databases experience, Design scalable systems, Design distributed systems, Design event-driven systems, System architecture background, Technical design background, Documentation background, Leadership experience, Guide engineering teams, Influence technical direction, Mentor engineers, Elevate team performance, Explain complex technical concepts, Fast-paced environments experience, Ownership mindset, Bias for action, Operate independently, Minimal technical oversight", "qualificationsPreferred" : "Modern frontend frameworks experience, Angular experience, Distributed systems familiarity, NoSQL systems familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead full-stack architectural design within scrum teams, defining technical vision and ensuring alignment with product and business goals across scalable systems. Design, develop, and maintain high-quality software using Ruby on Rails and TypeScript, ensuring performance, maintainability, and engineering best practices. Own architectural planning, system design, and technical documentation for distributed and full-stack systems across multiple engineering teams. Identify, assess, and mitigate technical risks early in the development lifecycle to ensure system reliability and scalability. Partner with Product and Design teams to translate business requirements into scalable, well-structured technical solutions. Mentor engineers at all levels through code reviews, pair programming, technical guidance, and architectural coaching. Drive engineering excellence through refactoring, automation, testing strategies, and continuous improvement initiatives. Influence broader engineering strategy by collaborating with senior technical leaders to shape long-term architectural direction. Support the delivery of fast, reliable, and scalable applications across customer-facing and internal platforms. Contribute to scaling engineering systems and practices to support continued organizational and product growth. Requirements: 8+ years of professional software engineering experience in full-stack or backend-heavy roles. Strong expertise in Ruby on Rails and TypeScript, with experience in modern frontend frameworks (Angular is a plus). Solid experience with SQL and relational databases such as PostgreSQL, with familiarity in distributed or NoSQL systems. Proven ability to design scalable, distributed, and event-driven systems in production environments. Strong background in system architecture, technical design, and documentation of complex engineering solutions. Demonstrated leadership experience guiding engineering teams and influencing technical direction across multiple stakeholders. Ability to mentor engineers at different levels and elevate overall team performance through technical guidance. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Experience working in fast-paced, high-growth environments with a strong ownership mindset and bias for action. Ability to operate independently with minimal technical oversight while driving high-impact initiatives. Benefits: Competitive base salary with equity participation Comprehensive medical, dental, and vision coverage (including dependents) Retirement or pension contribution plan Paid parental leave and family support programs Generous paid time off, sick leave, and paid holidays Remote-first flexibility (Ontario-based role) Home office, internet, and wellness stipends Learning and development support for continuous technical growth Opportunity to work on large-scale, high-impact systems in a fast-growing environment Strong engineering culture focused on ownership, mentorship, and continuous improvement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Staff Software Engineer. Skills: Full-stack architecture, System design, Ruby on Rails, TypeScript. Lead architectural design. Define technical vision", "postedDate" : "2026-06-15T13:30:02.227", "createdAt" : "2026-06-15T13:30:02.227", "lastUpdated" : "2026-06-16T14:15:17.840", "ingestTimestamp" : "2026-06-16T03:24:15.110", "mongoId" : "6a30511af292fd229cefa731", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Full-stack development", "Backend development", "Software engineering", "System architecture", "Technical design", "Distributed systems", "Event-driven systems", "Relational databases", "Leadership", "Mentoring", "Full-stack architecture", "System design", "Ruby on Rails", "TypeScript", "Technical documentation", "Architectural planning", "Scrum", "Scalable systems", "Full-stack systems" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 869.44275, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c9ffa74d8ee00a09a0fca", "title" : "Design Engineer", "company" : "Eagle", "industry" : "Engineering", "salary" : { "min" : 150000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T04:07:36.690", "fingerprint" : "d7d19068bff58c7cb7c16fa773295ab89a837b7682ef93665c3b0d9a79bbc5f0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/eagle/b5dd7b60-24d5-4053-a753-463cf7140822/application", "externalId" : "b5dd7b60-24d5-4053-a753-463cf7140822", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, TypeScript", "professionalSkills" : [ "Interaction design", "Visual design", "Design systems" ], "hardSkillsList" : [ "UX design", "Interface design", "AI product design" ], "hardSkills" : [ { "name" : "UX design", "level" : "intermediate" }, { "name" : "Interface design", "level" : "intermediate" }, { "name" : "AI product design", "level" : "intermediate" } ], "majorSkills" : "UX design, Interface design, Design systems, AI product design", "majorSkillsList" : [ "UX design", "Interface design", "Design systems", "AI product design" ], "coreResponsibilities" : "Embed with staff at engineering firms, Design and build against what you saw, Own the product surface end-to-end, Design interaction design, Prototype, Ship the production front-end yourself, Establish and own our design system, Define the interaction patterns for an AI-native platform, Collaborate directly with the CTO on product direction, Collaborate on culture, Collaborate on what we'll build next", "teamCollaboration" : "Cross-functional teams; Work with CTO", "domainKnowledge" : "AI-native platform; Agentic systems; Human-in-the-loop review; Provenance and citations; Machine output trust", "domainList" : [ "ai-native-platform", "agentic-systems", "human-in-the-loop-review", "provenance-and-citations", "machine-output-trust" ], "domainSpecificKnowledge" : [ "AI-native platform", "Agentic systems", "Human-in-the-loop review", "Provenance and citations", "Machine output trust" ], "communicationSkills" : "Earn trust with people", "innovationCreativity" : "Design systems; AI-native platform", "problemSolvingSkills" : "Distill feedback into opinion", "specialRequirements" : "Willing to travel", "qualificationsBasic" : "Design taste and engineering chops to ship it yourself in production (React/TypeScript or equivalent), Built and maintained a design system that more than one product or team depended on, Real reps designing UX for AI-native products, Comfortable with problems that don't exist in traditional software: non-determinism, streaming output, uncertainty, agentic flows, and earning user trust in machine output, Deep curiosity for how things work, Isn't afraid to expose their ignorance and is constantly asking why, Poise and communication skills to earn trust with people who've never worked with a tech company before, Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build, Willing to get on a plane", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Eagle We’re on a mission to radically transform the way we design and construct our built environment. Backed by Lightspeed Venture Partners, Eagle acquires and transforms civil, structural, and MEP engineering firms with applied AI. We’re an AI laboratory dedicated to providing engineers with the tools they need to solve the world’s hardest infrastructure, energy, and climate problems. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States. The opportunity Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI. That gap is the largest of any profession. Our plan is to close it by acquiring engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions. As a Design Engineer, you'll work directly with the CTO to own how that intelligence becomes something engineers actually trust and use. The hard part isn't only modeling the data—it's making non-deterministic, agentic systems legible to people who have never worked with a software company before. You own the surface where that trust is won or lost. You get a front-row seat to building a company from zero—engaging with product strategy, firm acquisitions, and architecture decisions—on a problem domain that's barely been touched by AI. What you'll do - Embed with staff at engineering firms alongside the founders; watch how they actually work, then come back and design and build against what you saw - Own the product surface end-to-end—from interaction design and prototyping through shipping the production front-end yourself - Establish and own our design system: the components, patterns, and primitives that have to stay coherent as we compound products across acquisitions - Define the interaction patterns for an AI-native platform—streaming and latency, human-in-the-loop review, provenance and citations, and making agent behavior transparent enough to trust - Collaborate directly with the CTO on product direction, culture, and what we'll build next What we look for - Strong design taste and the engineering chops to ship it yourself in production (React/TypeScript or equivalent)—you don't hand off to someone else to build - Has built and maintained a design system that more than one product or team depended on - Has real reps designing UX for AI-native products and is comfortable with the problems that don't exist in traditional software: non-determinism, streaming output, uncertainty, agentic flows, and earning user trust in machine output - Has a deep curiosity for how things work (an organization, a workflow, a market) - Isn't afraid to expose their ignorance and is constantly asking why - Has the poise and communication skills to earn trust with people who've never worked with a tech company before - Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build - Is willing to get on a plane with us - Is not above any task: up to draw the icon set, write the component, sit beside a user and watch them click, or wire up an off-the-shelf tool to test an idea fast Compensation - Competitive cash compensation ($150K–$300K depending on experience) - Founding equity, scaled to scope - Full healthcare benefits - In-person office in NYC", "summaryDescription" : "Design Engineer at Eagle. Skills: UX design, Interface design, Design systems, AI product design. Embed with staff at engineering firms. Design and build against what you saw", "createdAt" : "2026-06-14T20:12:10.520", "lastUpdated" : "2026-06-16T04:07:36.690", "ingestTimestamp" : "2026-06-14T20:12:10.520", "mongoId" : "6a2c9ffa74d8ee00a09a0fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 300000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "UX design", "Interface design", "AI product design", "Design systems", "Interaction design", "Visual design", "AI-native platform", "Agentic systems", "Human-in-the-loop review", "Provenance and citations", "Machine output trust" ], "skillCount" : 11, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 869.3017, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3092acf292fd229c0c3af4", "title" : "Staff Storage Engineer", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Storage Engineer in Bengaluru, India, adjusted for seniority, industry, and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "timestamp" : "2026-06-16T12:54:12.526", "fingerprint" : "d8a7fa8aa0566070b033ab0a6ed2628c798d1bcdd2d9efe5d5a5686bb1b51761", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132111229-staff-storage-engineer", "externalId" : "744000132111229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "NetApp, Dell, Dell ECS, Google Cloud Storage, NetBackup, NetApp CDOT, FC, CIFS, NFS, Linux, Windows, VMware, HyperV, Azure, AWS, GCP, Brocade, Cisco MDS", "professionalSkills" : [ "System design", "Project management", "Capacity Planning", "Performance Management", "High Availability", "Disaster Recovery" ], "hardSkillsList" : [ "Storage architecture", "Backup solutions", "SAN Fabric management", "Data center operations" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Storage architecture", "level" : "intermediate" }, { "name" : "Backup solutions", "level" : "intermediate" }, { "name" : "SAN Fabric management", "level" : "intermediate" }, { "name" : "Data center operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Enterprise storage systems, Backup solutions, SAN Fabric, Data center", "majorSkillsList" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data center" ], "coreResponsibilities" : "Design engineering solutions, Architect engineering solutions, Build engineering solutions, Support global storage environments, Support backup environments, Support data environments, Work on storage arrays, Analyze storage issues, Troubleshoot storage issues, Manage SAN Fabric, Design backup solutions, Architect backup solutions, Manage backup solutions, Design disaster recovery strategies, Architect disaster recovery strategies, Manage disaster recovery strategies, Interact with senior management, Interact with business customers, Interact with external vendors, Identify technical risks, Mitigate technical risks, Identify process inefficiencies, Mitigate process inefficiencies, Adjust priorities, Sort priorities, Distinguish priorities, Handle multiple tasks, Be flexible, Meet deadlines, Meet commitments, Handle interrupts, Guide junior team members, Mentor junior team members, Further SanDisk culture, Further SanDisk values", "teamCollaboration" : "Cross functional teams; Globally dispersed organization; High performing team", "projectManagementSkills" : [ "Organization", "Planning", "Project management" ], "domainKnowledge" : "Enterprise storage systems; Backup solutions; SAN Fabric; Data center operations; 4IR innovations; Flash memory technologies", "domainList" : [ "enterprise-storage-systems", "backup-solutions", "san-fabric", "data-center-operations", "4ir-innovations", "flash-memory-technologies" ], "domainSpecificKnowledge" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data center operations", "4IR innovations", "Flash memory technologies" ], "toolProficiency" : [ "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV", "Azure", "AWS", "GCP" ], "communicationSkills" : "Senior management interaction; Business customer interaction; Vendor interaction", "innovationCreativity" : "Groundbreaking innovations", "problemSolvingSkills" : "Analyze issues; Troubleshoot issues", "specialRequirements" : "Work independently, Minimal oversight", "qualificationsBasic" : "Expert knowledge of NetApp hardware, Expert knowledge Dell products, Experience with Dell ECS, Experience with Google Cloud Storage, Experience with Backup tools, Solid understanding of NetApp CDOT, Knowledge of FC, CIFS, NFS, Knowledge of storage monitoring, Knowledge of OS upgrades, Knowledge of firmware upgrades, Experience with Brocade Director switches, Knowledge of Linux systems, Knowledge of Windows systems, Knowledge of VMware, Knowledge of HyperV, Knowledge of Capacity Planning, Knowledge of Performance Management, Knowledge of High Availability, Knowledge of Disaster Recovery, Knowledge of Maintenance", "qualificationsPreferred" : "Knowledge for Network and Infrastructure Security is desirable, Experience with All-Flash storage arrays, Experience with Nasuni Cloud Appliance, Cloud (Azure/AWS/GCP) exposure, Cloud (Azure/AWS/GCP) experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. About the Role :- We are looking for a seasoned technical storage professional where the candidate will primarily work on design, architect and build solutions for enterprise storage systems and backups in our global data centers and business offices. Storage disciplines should focus on Dell Products, NetApp Products, Nasuni Cloud Appliance as well as SAN Fabric and Backup Solutions (NetBackup primarily). The candidate should possess knowledge of Linux systems, Windows systems & Virtualization (VMware, HyperV) environment. Candidate must have knowledge around Capacity Planning, Performance Management, High Availability and Disaster Recovery, Maintenance. Knowledge for the functions of - Network and Infrastructure Security is desirable. The candidate will collaboratively work within a high performing team within a globally dispersed organization. Prior working experience in a global role is deserved as well as ability to work and function independently with minimal oversight. Responsibilities:- * Design and Architect cost effective, integrated engineering solutions focused on supporting SanDisk’s global storage, backup and data environments. * Storage exposure and working on diverse portfolio of storage arrays, including Dell/EMC (PowerMax, Unity, PowerScale, PowerStore), NetApp and object storage solutions. * Analyze and troubleshoot storage related issues working with cross functional teams. * Manage SAN Fabric using Brocade Directors & Cisco MDS switches. * Design, architect & manage backup solutions & strategies for disaster recovery. * Interact with senior management, business customers and external storage vendors. * Strong organization, planning, and project management. * Identify & mitigate technical risks and process inefficiencies. * Adjust, sort and distinguish priorities. * Handle multiple tasks and be flexible in a fast-paced environment. * Meeting deadlines and commitments in an environment that requires multitasking among multiple concurrent projects while also handling interrupts. * Guide and mentor junior team members. * Furthers SanDisk Organisational culture and values. ## Qualifications Key Technical Skills:- * Expert knowledge of NetApp hardware and software experience administering in mission-critical, 24x7 production environments. * Expert knowledge Dell products (including PowerMax/PowerScale/PowerStore/Unity hardware and software experience). * Experience with Dell ECS & Google Cloud Storage. * Experience with Backup tools (NetBackup/others). * Solid understanding of Network Appliance (NetApp) CDOT operations principles and techniques. * Strong knowledge of FC, CIFS, NFS, storage monitoring and upgrades of both OS and firmware. * Experience with All-Flash storage arrays and Nasuni Cloud Appliance is a plus. * Experience with Brocade Director class switches. * Cloud (Azure/AWS/GCP) exposure & experience. ## Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Staff Storage Engineer at Sandisk. Skills: Enterprise storage systems, Backup solutions, SAN Fabric, Data center. Design engineering solutions. Architect engineering solutions", "postedDate" : "2026-06-15T04:33:14.000", "createdAt" : "2026-06-16T03:33:06.434", "lastUpdated" : "2026-06-16T12:54:12.526", "ingestTimestamp" : "2026-06-16T03:33:06.434", "mongoId" : "6a3092acf292fd229c0c3af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Storage architecture", "Backup solutions", "SAN Fabric management", "Data center operations", "Leadership", "Enterprise storage systems", "SAN Fabric", "Data center", "System design", "Project management", "Capacity Planning", "Performance Management", "High Availability", "Disaster Recovery", "Organization", "Planning", "4IR innovations", "Flash memory technologies", "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV", "Azure", "AWS", "GCP" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 868.4673, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cea1b74d8ee00a0a6ff40", "title" : "Staff Backend Engineer", "company" : "Voyagu", "location" : "Worldwide", "locations" : [ "Worldwide" ], "timestamp" : "2026-06-15T10:35:40.263", "fingerprint" : "dc013f09dbb4d62a945bf1e94d0d59c5df5214df669cead30a9ae47ef1e39e0d", "source" : "breezyhr", "applyUrl" : "https://voyagu.breezy.hr/p/b7e3ffb96c2201-staff-backend-engineer-financial-ledger", "externalId" : "b7e3ffb96c2201", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Financial Ledger" ], "majorSkills" : "Backend, Financial Ledger", "majorSkillsList" : [ "Backend, Financial Ledger" ], "coreResponsibilities" : "The Financial Core is the spine of this transformation. We are looking for a Staff Backend Engineer to become the long-term technic", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Europe (Remote)Company: VoyaguProduct: Radar The Mission Voyagu is a travel-tech company evolving Radar, our core platform, into a multi-agency SaaS system. The Financial Core is the spine of this transformation. We are looking for a Staff Backend Engineer to become the long-term technic", "summaryDescription" : "Staff Backend Engineer at Voyagu. Skills: Backend, Financial Ledger. The Financial Core is the spine of this transformation. We are looking for a Staff Backend Engineer to become the long-term technic", "createdAt" : "2026-06-14T18:42:19.425", "lastUpdated" : "2026-06-15T10:35:40.263", "ingestTimestamp" : "2026-06-14T18:42:19.425", "mongoId" : "6a2cea1b74d8ee00a0a6ff40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Backend, Financial Ledger", "Financial Ledger" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 861.17914, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30602ef292fd229cf8741b", "title" : "Staff Software Engineer", "company" : "Datadog", "industry" : "Cybersecurity", "salary" : { "min" : 130000.0, "max" : 175000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Staff Software Engineer in Dublin, Ireland, adjusted for lead seniority and technology industry." }, "location" : "Dublin, Ireland", "locations" : [ "Dublin", "Ireland", "Lisbon", "London", "Greater London", "England", "United Kingdom", "Madrid", "Madrid", "Spain", "Paris", "Paris", "France", "France", "Remote - Germany", "Ireland", "Switzerland", "United Kingdom" ], "timestamp" : "2026-06-16T07:20:32.411", "fingerprint" : "f3c2b7d4b0f8435001a812a8606e610fae189ea18f3b489611bd6dde24e35bdb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.datadoghq.com/detail/8007598/?gh_jid=8007598", "externalId" : "8007598", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Linux, EBPF, Linux kernel", "professionalSkills" : [ "Systems programming", "Agent development", "Technical leadership", "Systems design" ], "hardSkillsList" : [ "Low-level Linux instrumentation", "Runtime security technologies", "Performance-sensitive systems", "Large-scale data collection", "Kernel internals", "Linux kernel APIs", "Systems programming", "Kernel-level instrumentation", "Driver development", "Networking systems", "Agent development", "Low-level technologies" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Low-level Linux instrumentation", "level" : "intermediate" }, { "name" : "Runtime security technologies", "level" : "intermediate" }, { "name" : "Performance-sensitive systems", "level" : "intermediate" }, { "name" : "Large-scale data collection", "level" : "intermediate" }, { "name" : "Kernel internals", "level" : "intermediate" }, { "name" : "Linux kernel APIs", "level" : "intermediate" }, { "name" : "Systems programming", "level" : "intermediate" }, { "name" : "Kernel-level instrumentation", "level" : "intermediate" }, { "name" : "Driver development", "level" : "intermediate" }, { "name" : "Networking systems", "level" : "intermediate" }, { "name" : "Agent development", "level" : "intermediate" }, { "name" : "Low-level technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Linux instrumentation, Runtime security, EBPF, Kernel internals", "majorSkillsList" : [ "Linux instrumentation", "Runtime security", "EBPF", "Kernel internals" ], "coreResponsibilities" : "Lead architecture and development of security agent capabilities, Design and build eBPF-based monitoring functionality, Drive end-to-end delivery of new features, Establish and evolve testing methodologies, Partner with product, security, infrastructure, and engineering teams, Provide technical leadership, Influence engineering direction, Mentor peers, Help resolve complex cross-functional challenges", "teamCollaboration" : "Partner with product teams; Partner with security teams; Partner with infrastructure teams; Partner with engineering teams; Cross-functional challenges", "projectManagementSkills" : [ "Technical strategy", "End-to-end delivery" ], "domainKnowledge" : "Runtime security; Workload protection; Vulnerability management; Cloud security; Cloud-native workloads; Linux environments; Linux kernel internals; Systems programming; Networking systems; Agent development; Low-level technologies", "domainList" : [ "runtime-security", "workload-protection", "vulnerability-management", "cloud-security", "cloud-native-workloads", "linux-environments", "linux-kernel-internals", "systems-programming", "networking-systems", "agent-development", "low-level-technologies" ], "domainSpecificKnowledge" : [ "Runtime security", "Workload protection", "Vulnerability management", "Cloud security", "Cloud-native workloads", "Linux environments", "Linux kernel internals", "Systems programming", "Networking systems", "Agent development", "Low-level technologies" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Continuous professional development; Product training; Career pathing", "problemSolvingSkills" : "Resolve complex challenges", "qualificationsBasic" : "Significant experience building software in Linux, Hands-on experience with eBPF, Built and run performance-sensitive systems, Experience building production software across Linux distributions", "qualificationsPreferred" : "Knowledge of Linux internals, Knowledge of kernel APIs, Knowledge of systems programming, Kernel-level instrumentation experience, Driver development experience, Networking systems experience, Agent development experience, Related low-level technologies experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we value our office culture – the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: You have significant experience building software in Linux environments, including knowledge of Linux internals, kernel APIs, or systems programming. You have hands-on experience with eBPF, kernel-level instrumentation, driver development, networking systems, agent development, or related low-level technologies. You've built and run systems where performance and reliability actually matter. You have experience building and maintaining production software across diverse Linux distributions and kernel versions. You are product-minded and customer-focused, balancing technical excellence with customer impact and usability. You have demonstrated technical leadership, influencing architecture and execution across teams while communicating effectively with both technical and non-technical stakeholders. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Remote About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.", "summaryDescription" : "Staff Software Engineer at Datadog. Skills: Linux instrumentation, Runtime security, EBPF, Kernel internals. Lead architecture and development of security agent capabilities. Design and build eBPF-based monitoring functionality", "postedDate" : "2026-06-15T23:29:04.061", "createdAt" : "2026-06-15T23:29:04.061", "lastUpdated" : "2026-06-16T07:20:32.411", "ingestTimestamp" : "2026-06-15T23:29:04.061", "mongoId" : "6a30602ef292fd229cf8741b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Low-level Linux instrumentation", "Runtime security technologies", "Performance-sensitive systems", "Large-scale data collection", "Kernel internals", "Linux kernel APIs", "Systems programming", "Kernel-level instrumentation", "Driver development", "Networking systems", "Agent development", "Low-level technologies", "Leadership", "Mentoring", "Linux instrumentation", "Runtime security", "EBPF", "Technical leadership", "Systems design", "Technical strategy", "End-to-end delivery", "Workload protection", "Vulnerability management", "Cloud security", "Cloud-native workloads", "Linux environments", "Linux kernel internals" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 859.21387, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce9a362beec4dd3d78955f", "title" : "STAFF ENGINEER", "company" : "Reveleer", "industry" : "SaaS", "salary" : { "min" : 180000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer in the US Technology industry, adjusted for lead seniority and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T03:08:24.410", "fingerprint" : "ca5ddd96be4abc4066e58c10d8bf0df9099e4ec3d88179b4e37e929f029d31ec", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://reveleer.breezy.hr/p/494262578dd7-staff-engineer", "externalId" : "494262578dd7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Set engineering direction, Guide architectural decisions, Mentor teams, Deliver scalable software solutions, Deliver high-quality software solutions", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "STAFF ENGINEER Remote Opportunity Why This Role Is Important The Staff Engineer at Reveleer is a key technical leader responsible for setting engineering direction, guiding architectural decisions, and mentoring teams to deliver scalable, high-quality software solutions. This role plays a critical", "summaryDescription" : "STAFF ENGINEER at Reveleer. Set engineering direction. Guide architectural decisions", "createdAt" : "2026-06-14T19:31:49.907", "lastUpdated" : "2026-06-16T03:08:24.410", "ingestTimestamp" : "2026-06-14T19:31:49.907", "mongoId" : "69ce9a362beec4dd3d78955f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 270000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 856.6057, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a87f292fd229cf523d1", "title" : "Senior/Staff Server Engineer", "company" : "Scopely", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 1000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Server Engineer in Shanghai, China, adjusted for industry and company size." }, "location" : "Shanghai", "locations" : [ "Shanghai" ], "timestamp" : "2026-06-16T07:30:19.136", "fingerprint" : "dcf2297a03e9c8686cbe2dbb8bfc04d9c472269b95b2b200074246d5c1d1be71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5256234008?gh_jid=5256234008", "externalId" : "5256234008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Go, C#, Python, Git, Bash, Gradle, GRPC, WebSocket, Kubernetes, Terraform, Alibaba Cloud, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Performance optimization", "Task breakdown", "Code reviews", "Mentoring" ], "hardSkillsList" : [ "Distributed systems", "Networked systems", "Cloud security", "Real-time communication", "Data processing", "Infrastructure as code" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Networked systems", "level" : "intermediate" }, { "name" : "Cloud security", "level" : "intermediate" }, { "name" : "Real-time communication", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" } ], "majorSkills" : "Server engineering, Distributed systems, Real-time systems, Cloud platforms", "majorSkillsList" : [ "Server engineering", "Distributed systems", "Real-time systems", "Cloud platforms" ], "coreResponsibilities" : "Build next generation games, Develop core systems, Develop core features, Power large-scale experiences, Power real-time experiences", "teamCollaboration" : "Work with passionate engineers", "projectManagementSkills" : [ "Task breakdown", "Scoping" ], "domainKnowledge" : "Distributed systems; Networked systems; Cloud security; Real-time communication; Online games; Online apps; IaaS environments; Cloud platforms; Data processing frameworks; Data warehouse; AI tools", "domainList" : [ "distributed-systems", "networked-systems", "cloud-security", "real-time-communication", "online-games", "online-apps", "iaas-environments", "cloud-platforms", "data-processing-frameworks", "data-warehouse", "ai-tools" ], "domainSpecificKnowledge" : [ "Distributed systems", "Networked systems", "Cloud security", "Real-time communication", "Online games", "Online apps", "IaaS environments", "Cloud platforms", "Data processing frameworks", "Data warehouse", "AI tools" ], "toolProficiency" : [ "Git", "Bash", "Gradle", "Kubernetes", "Terraform" ], "communicationSkills" : "Verbal English", "problemSolvingSkills" : "Performance optimization", "qualificationsBasic" : "Experience building scalable distributed systems, Experience maintaining scalable distributed systems, Deep understanding of networked systems, Deep understanding of distributed systems, Deep understanding of cloud security, Deep understanding of performance optimization, Familiarity with gRPC, Familiarity with WebSocket, Proficiency in Java, Proficiency in Go, Proficiency in C#, Proficiency in Python, Proficiency in Git, Proficiency in Bash, Proficiency in Gradle, Professional proficiency in Mandarin, Professional proficiency in English, BS in Computer Science, BS in Software Engineering, MS in Computer Science, MS in Software Engineering, Equivalent experience", "qualificationsPreferred" : "Experience shipping online game, Experience shipping online app, Experience managing IaaS environments, Experience deploying on Alibaba Cloud, Experience deploying on AWS, Experience deploying on Azure, Experience deploying on GCP, Proficiency with Kubernetes cluster management, Proficiency with Terraform, Experience using data processing frameworks, Experience using data warehouse, Experience using AI tools, Experience leading a team, Task breakdown & scoping, Code reviews, Mentoring junior devs, Prototyping, Excellent verbal English communication", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the job Scopely is looking for a Senior/Staff Server Engineer to join an unannounced title based in our Shanghai office (5 days in the office). At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We are in the early stages of development on an ambitious mobile game in China, and we’re assembling a team of passionate game makers to craft unforgettable characters and immersive adventures that players will love. What You Will Do We are looking for a Server Engineer to build the next generation of our games. You will work with a team of passionate engineers while developing core systems and features that power large-scale, real-time experiences for our game. You’ll work on complex technical challenges involving real-time interaction, large-scale systems, and a persistent shared world used by tens of millions of players. What We’re Looking For Experience in building, and maintaining scalable, production-grade distributed systems. Deep understanding of networked and distributed systems, cloud security best practices, and performance optimization. Familiarity with network protocols for real-time communication, such as gRPC and WebSocket. Programming Languages: Proficiency in one or more of Java, Go, C#, Python Familiar with Git, Bash and Gradle Professional proficiency in both Mandarin and English BS / MS in Computer Science or Software Engineering or equivalent Bonus Points You have experience shipping at least one online game or app Experience in managing IaaS environments and deploying on cloud platforms such as Alibaba Cloud (Alicloud), AWS, Azure, or GCP. Proficiency with Kubernetes cluster management, infrastructure as code tools like Terraform Experience using data processing frameworks and data warehouse Experience using AI tools to speed up the development lifecycle and improve efficiency Experience leading a team: task breakdown& scoping, code reviews, mentoring junior devs, prototyping, etc. Excellent verbal English communication At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Senior/Staff Server Engineer at Scopely. Skills: Server engineering, Distributed systems, Real-time systems, Cloud platforms. Build next generation games. Develop core systems", "postedDate" : "2026-06-15T23:23:14.435", "createdAt" : "2026-06-15T23:23:14.435", "lastUpdated" : "2026-06-16T07:30:19.136", "ingestTimestamp" : "2026-06-15T23:23:14.435", "mongoId" : "6a305a87f292fd229cf523d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Networked systems", "Cloud security", "Real-time communication", "Data processing", "Infrastructure as code", "Server engineering", "Real-time systems", "Cloud platforms", "System design", "Performance optimization", "Task breakdown", "Code reviews", "Mentoring", "Scoping", "Online games", "Online apps", "IaaS environments", "Data processing frameworks", "Data warehouse", "AI tools", "Git", "Bash", "Gradle", "Kubernetes", "Terraform" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 854.7251, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb09c74d8ee00a09da805", "title" : "Staff Engineer", "company" : "ZayZoon", "industry" : "Development", "salary" : { "min" : 159000.0, "max" : 209000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Calgary", "locations" : [ "Calgary", "Phoenix", "Scottsdale", "Pittsburgh", "Columbus", "Orlando", "St. Louis", "Edmonton", "Halifax", "Moncton", "Ottawa", "Toronto", "Winnipeg", "Vancouver" ], "certifications" : [ ], "timestamp" : "2026-06-15T06:57:52.271", "fingerprint" : "14b2668bba8a22c223f8f50a0d6d31cbe780f439566a80832de314e677b28584", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/zayzoon/848ef84e-05ed-4854-b017-2338e89e14af/application", "externalId" : "848ef84e-05ed-4854-b017-2338e89e14af", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Ruby on Rails, OO, DDD, AI, SQL, ETL", "professionalSkills" : [ "financial wellness" ], "hardSkillsList" : [ "Ruby on Rails", "OO", "DDD", "AI", "SQL", "ETL", "OWASP", "secure development", "SOC-2" ], "softSkillsList" : [ "curiosity" ], "hardSkills" : [ { "name" : "Ruby on Rails", "level" : "intermediate" }, { "name" : "OO", "level" : "intermediate" }, { "name" : "DDD", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "OWASP", "level" : "intermediate" }, { "name" : "secure development", "level" : "intermediate" }, { "name" : "SOC-2", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curiosity" } ], "majorSkills" : "Ruby on Rails, DDD, microservices, AI, SQL", "majorSkillsList" : [ "Ruby on Rails, DDD, microservices, AI, SQL" ], "coreResponsibilities" : "Design and maintain scalable, secure software architectures aligned with business goals, resulting in robust and reliable systems. Introduce and implement best practices around OO, DDD, and microservices where appropriate. Use AI to streamline processes, reduce friction, and give time back to developers for the work that matters. Implement and enforce coding standards and best practices, driving measurable improvements in code quality and maintainability. Conduct regular code reviews with feedback that meaningfully reduces bug counts and improves software performance. Facilitate clear communication between development teams, product managers, and other stakeholders to keep projects aligned. Use data as your north star - leverage application data, third-party data, and our data warehouse to analyze and solve problems around both product impact and performance. Participate in our agile development process: sprint planning, story grooming, and standups. Champion our SDLC and secure coding practices across everything you ship.", "teamCollaboration" : "Facilitate clear communication between development teams, product managers, and other stakeholders to keep projects aligned.", "projectManagementSkills" : [ "agile development", "sprint planning", "story grooming", "standups" ], "toolProficiency" : [ "AWS, RDS" ], "communicationSkills" : "communication", "continuousLearning" : "a supportive culture for lifelong learners", "problemSolvingSkills" : "system design; architectural questions; concurrency; background processing; debugging", "specialRequirements" : "Research shows that while men apply to jobs when they meet an average of 60% of listed criteria, women and other marginalized folks tend to only apply when they check every box. Think you have what it takes, but not sure you check every box? Apply to the role anyways. We’d love to talk and determine together whether you could be a great fit!", "outcomesObjectives" : "Save 10 million hardworking employees 10 billion dollars.", "qualificationsBasic" : "6+ years of experience with Ruby on Rails. A mastery of fundamentals: solid coding principles, domain-driven design, performant code and queries, unit and integration testing. Experience leading projects involving scale, concurrency, queuing, background processing, and efficient ingestion of third-party data. A security mindset: OWASP, secure development, and SOC-2 processes. Experience deploying resources outside of app dev (AWS, RDS, queues, serverless). Track record of using AI to simplify workflows, eliminate bottlenecks, and shift focus toward meaningful work. data engineering skills: complex SQL queries, optimization, ETL. Comfortable working across data warehouse and analytics tooling to surface insights, track down errors, and inform performance improvements.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE: At ZayZoon, we are on a mission to save 10 million hardworking employees 10 billion dollars. We’ve created a financial empowerment platform that helps businesses of all sizes make a big impact on employee financial wellness. We offer a variety of financial wellness services, like earned wage access, that allows employees to access their earned wages ahead of payday. With 74% https://www.zayzoon.com/the-state-of-employee-financial-wellnessof ZayZoon customers reporting reduced financial stress, we know our solutions help lead to happier and more productive employees. ZayZoon was also recognized for its growth in the 2025 Deloitte Technology Fast 50 https://www.newswire.ca/news-releases/deloitte-canada-unveils-2025-technology-fast-50-tm-program-winners-as-tech-resilience-powers-cross-country-innovation-886643713.html, 2025 Deloitte Technology Fast 500 https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/deloitte-private/2025/us-2025-technology-fast-500-rankings.pdf, and top-10 growth companies in Canada by CIX awards https://calgaryherald.com/business/local-business/parker-zayzoon-partners-provide-earned-wage-access. Our recent funding extension has raised our Series B funding round to nearly $50 million USD https://calgaryherald.com/business/local-business/parker-zayzoon-partners-provide-earned-wage-access \uD83C\uDF89 Join us in shaping the future of employee financial wellness and building services that address the immediate needs of today's employees. You might see a few cities listed, but no need to be in any of them! We’re fully remote and hire across Canada and the U.S. About the role: We've built a financial empowerment platform that helps businesses of all sizes make a real impact on employee financial wellness, and the systems you architect here directly power that mission. We're looking for a Staff Developer who genuinely cares about building things well. You'll take on the hardest technical problems, champion best practices, and bridge the gap between where our systems are today and where they need to be as we scale. If you're the kind of person who gets pulled toward hard architectural questions, enjoys mentoring, and reaches for data when something needs solving, this is a role where that curiosity gets put to good use every day. Your impact: - Design and maintain scalable, secure software architectures aligned with business goals, resulting in robust and reliable systems - Introduce and implement best practices around OO, DDD, and microservices where appropriate - Use AI to streamline processes, reduce friction, and give time back to developers for the work that matters - Implement and enforce coding standards and best practices, driving measurable improvements in code quality and maintainability - Conduct regular code reviews with feedback that meaningfully reduces bug counts and improves software performance - Facilitate clear communication between development teams, product managers, and other stakeholders to keep projects aligned - Use data as your north star - leverage application data, third-party data, and our data warehouse to analyze and solve problems around both product impact and performance - Participate in our agile development process: sprint planning, story grooming, and standups - Champion our SDLC and secure coding practices across everything you ship You bring: - 6+ years of experience with Ruby on Rails - A mastery of fundamentals: solid coding principles, domain-driven design, performant code and queries, unit and integration testing - Experience leading projects involving scale, concurrency, queuing, background processing, and efficient ingestion of third-party data - A security mindset: OWASP, secure development, and SOC-2 processes - Experience deploying resources outside of app dev (AWS, RDS, queues, serverless) - Track record of using AI to simplify workflows, eliminate bottlenecks, and shift focus toward meaningful work - Strong data engineering skills: complex SQL queries, optimization, ETL - Comfortable working across data warehouse and analytics tooling to surface insights, track down errors, and inform performance improvements Research shows that while men apply to jobs when they meet an average of 60% of listed criteria, women and other marginalized folks tend to only apply when they check every box. Think you have what it takes, but not sure you check every box? Apply to the role anyways. We’d love to talk and determine together whether you could be a great fit! WHY YOU’LL LOVE WORKING AT ZAYZOON: - Permanently Remote: Work from a desk, a coffee shop, or in the great outdoors - our jobs are fully remote, forever - Flexible Time Off: Whether it's a longer vacation to explore new horizons, a series of short breaks for regular rejuvenation, or stepping away for a new level of mastery in a skillset – our “You-do-You” time off program caters to the diverse and evolving lifestyles of our team with a maximum of 6 weeks vacation - Instant Benefits: All full-time employees get access to medical, vision, and dental benefits from their very first day including increased mental health coverage and a wellness stipend - Plus: Inclusive parental leave top-up, earned wage access, real time market data for salaries, a supportive culture for lifelong learners and more WHAT YOU CAN EXPECT FROM US: Every application will be reviewed by our team - we're committed to giving each application the attention it deserves because we know how important this step is for you. We want to make sure you're always in the loop and will respond to every application. So go ahead and hit that apply button with confidence, knowing that we’re here for you every step of the way! We can't wait to hear from you. #LI-REMOTE", "summaryDescription" : "Staff Engineer at ZayZoon. Skills: Ruby on Rails, DDD, microservices, AI, SQL. Design and maintain scalable, secure software architectures aligned with business goals, resulting in robust and reliable systems. Introduce and implement best practices around OO, DDD, and microservices where appropriate. Use AI to streamline processes, reduce friction, and give time back to developers for the work that matters. Implement and enforce coding standards and best practices, driving measurable improvement", "createdAt" : "2026-06-14T18:02:27.838", "lastUpdated" : "2026-06-15T06:57:52.271", "ingestTimestamp" : "2026-06-14T18:02:27.838", "mongoId" : "6a2cb09c74d8ee00a09da805", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Ruby on Rails", "OO", "DDD", "AI", "SQL", "ETL", "OWASP", "secure development", "SOC-2", "curiosity", "Ruby on Rails, DDD, microservices, AI, SQL", "financial wellness", "agile development", "sprint planning", "story grooming", "standups", "AWS, RDS" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 849.3638, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca03274d8ee00a09a180c", "title" : "Product Engineering - Staff Software Engineer", "company" : "Sprinter Health", "industry" : "Sprinter Health", "salary" : { "min" : 220000.0, "max" : 255000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-16T02:47:44.519", "fingerprint" : "c88fcd6a60a052ea8201f3701f3b9bd79d7fdaa1df7062c6559ac1b8cea4754e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/7c9cd84e-c3a4-46d8-9006-18573d40aa66/application", "externalId" : "7c9cd84e-c3a4-46d8-9006-18573d40aa66", "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 Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. About the Role We’re looking for a Senior Backend or Full-Stack Software Engineer (5+ years experience) who wants to build the core systems that power last-mile healthcare delivery. At Sprinter, you’ll work on products that blend logistics, patient experience, safety, and medical operations—building and scaling backend services, data flows, integrations, and in-product experiences that directly determine whether patients get care. From routing clinicians and powering booking flows to integrating medical devices and preventing clinical errors, you’ll own complex, high-impact systems from 0→1. If you want to solve real problems with code and ship product that changes access to care, this is that role. Office Location: We are a hybrid company based in the Bay Area with offices in both San Francisco & Menlo Park. We care about work-life balance, and understand that there will be times where flexibility is needed. What you will you do: - Design and build backend services and APIs that power patient booking, clinician routing, logistics, and device integrations - Ship full-stack product features end to end, from data modeling and business logic to UI and user flows (if full-stack) - Solve complex operational challenges like scheduling, dispatch, safety checks, and error prevention at scale - Integrate with external health systems, telemedicine platforms, and medical devices in a reliable, secure way - Work closely with product, data, ops, and clinical teams to turn real-world problems into shipped software - Own projects from 0→1, make architectural decisions, and help evolve our engineering practices as we scale What you have done: - Spent 8+ years building and scaling backend or full-stack systems in production - Experience mentoring engineers and overseeing large scale projects - Designed APIs, data models, and services that power real user-facing products - Led projects or pods end to end — from architecture and planning to delivery and iteration - Mentored junior and mid-level engineers through code reviews, pairing, and technical guidance - Shipped features independently and in collaboration with product, data, ops, or design partners - Built in environments where speed, reliability, and ambiguity coexist — startups, high-growth teams, or 0→1 products - Made technical decisions that balanced execution speed, scalability, and long-term maintainability What gives you an edge: - You’ve built or scaled products in health tech, logistics, or other operationally complex environments - You understand supply/demand dynamics — forecasting, routing, scheduling, or inventory management - You’ve scaled backend systems to support rapid growth, high-volume data, and evolving business needs - You’ve worked in mid- or growth-stage startups (Series A–C) where speed and ambiguity were the norm - You’re comfortable working with data platforms, pipelines, or large-scale data processing - You know your way around regulated environments — HIPAA, security, and privacy best practices The Interview Process - We aim to complete the interview process between 2-3 weeks. It will usually consist of: - Recruiter Screen (30-Minutes) - Hiring Manager Introduction (30-Minutes) - Technical Assessment (45-Minutes) - Onsite Interview: Systems Design + Behavioral Interview + Lunch with the Team (3-hours) - References What we offer - Meaningful pre-IPO equity - Medical, dental, and vision plans 100% paid for you and your dependents - Flexible PTO + 10 paid holidays per year - 401(k) with match - 16-week parental leave policy for birthing parent, 8 weeks for all other parents - HSA + FSA contributions - Life insurance, plus short and long-term disability coverage - Free daily lunch in-office - Annual learning stipend Our Technology Stack - Serverless AWS (AppSync, DynamoDB, Lambda, Amplify, CloudFormation, Node) - React Native, React Native for Web - GraphQL - Typescript - Javascript - Node.js http://Node.js Sprinter Health is an equal opportunity employer. We 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, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.", "summaryDescription" : "Product Engineering - Staff Software Engineer at Sprinter Health", "createdAt" : "2026-06-14T17:52:19.976", "lastUpdated" : "2026-06-16T02:47:44.519", "ingestTimestamp" : "2026-06-14T17:52:19.976", "mongoId" : "6a2ca03274d8ee00a09a180c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 255000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 848.3267, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c95ac74d8ee00a098db14", "title" : "Staff Engineer-FBG", "company" : "Fanatics Betting & Gaming", "industry" : "Retail", "salary" : { "min" : 130000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer in Ireland, adjusted for executive seniority and the sports industry." }, "location" : "Ireland", "locations" : [ "Ireland", "United Kingdom" ], "timestamp" : "2026-06-15T22:02:19.458", "fingerprint" : "483a9cee5b75e33fc5bc041392192a73f63af6918e2803b99b22b2301de9d6ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4221929009", "externalId" : "4221929009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ireland; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, Azure", "professionalSkills" : [ "System design", "Software development", "Software testing", "Business needs translation" ], "hardSkillsList" : [ "Testable code writing" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Testable code writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Trading Engineering, Real-time systems", "majorSkillsList" : [ "Trading Engineering", "Real-time systems" ], "coreResponsibilities" : "Contribute to design and implementation, Enhance system reliability, Enhance system efficiency, Analyze complex problems, Address complex problems, Improve overall performance, Improve scalability, Write efficient code, Write modular code, Write testable code, Support product lifecycle, Ensure smooth operation, Ensure reliability, Communicate effectively, Escalate challenges, Participate in code reviews, Elevate code quality, Foster knowledge sharing, Collaborate with Product teams, Collaborate with Quant teams, Collaborate with Engineering teams, Ensure timely delivery, Align applications with product vision, Play active role in team discussions, Gain insights into design philosophies, Contribute to product evolution, Enhance software quality, Focus on testability, Focus on operational metrics, Focus on documentation, Become product minded engineer, Develop fundamental understanding, Engage in mentorship opportunities, Learn knowledge, Share knowledge, Promote team growth, Support critical operations, Participate in on-call rotation", "teamCollaboration" : "Cross-functional teams; Product teams; Quant teams; Engineering teams", "domainKnowledge" : "Risk domain; Trading domain; Event-driven architecture; Real-time decision-making systems", "domainList" : [ "risk-domain", "trading-domain", "event-driven-architecture", "real-time-decision-making-systems" ], "domainSpecificKnowledge" : [ "Risk domain", "Trading domain", "Event-driven architecture", "Real-time decision-making systems" ], "communicationSkills" : "Demystify technical topics", "documentationSkills" : "Comprehensive documentation", "continuousLearning" : "Learning opportunities; Personal development; Team growth", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "On-call rotation, Occasional travel, In-person components, Onsite interviews, Multi-day cultural immersion", "qualificationsBasic" : "8+ years experience building scalable applications, 8+ years C# experience, Understanding of SOLID principles, Understanding of DRY principles, Understanding of TDD principles, Understanding of BDD principles, Experience building software using DDD, Experience partnering with cross-functional teams", "qualificationsPreferred" : "Azure experience a plus, Familiarity with sports betting, Keen interest in sports", "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 Staff Engineer 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 Contribute to the design and implementation of scalable, secure, and high-performance solutions within our event-driven architecture, focusing on enhancing system reliability and efficiency. Assist in analyzing and addressing complex problems in multifaceted systems to improve overall performance and scalability. Write efficient, modular, and testable code that adheres to our commitment to innovation and quality standards. Support the product lifecycle from concept through development and deployment, and beyond, ensuring smooth operation and reliability of our platform. Communicate effectively, escalating challenges as necessary and participating in code reviews to elevate code quality and foster knowledge sharing Collaborate seamlessly with Product, Quant and Engineering teams to ensure timely delivery of stable and reliable applications aligned with our product vision. Play an active role in team discussions on planning and design, gaining insights into design philosophies and contributing to our product's evolution. Enhance software quality through focusing on testability, operational metrics, and comprehensive documentation. Become a product minded engineer developing a fundamental understanding of our industry, product, feature set and roadmap Engage in mentorship opportunities to both learn and share knowledge, promoting personal and team growth. Support critical operations through participation in an on-call rotation Be willing to travel occasionally for special events and for essential offsite meetings and team collaboration sessions. Experience and Skills At least 8+years of real-world demonstrable experience building & deploying scalable, high-performance applications. 8+ years of experience with C# and cloud platforms (Azure a plus). Effective communication skills, capable of demystifying complex technical topics for diverse audiences. Excellent analytical and problem-solving skills. Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Understanding of software design, development, and testing principles including SOLID, DRY, TDD, BDD. Passion for software development and system architecture and sharing knowledge within a highly collaborative team. Familiarity with sports betting or a keen interest in sports is desirable. Experience of building software using Domain Driven Design (DDD) Ability to translate business needs into technical solutions. Experience in partnering with cross-functional teams. Experience working in a start-up environment Passionate about working in a highly collaborative team 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" : "Staff Engineer-FBG at Fanatics Betting & Gaming. Skills: Trading Engineering, Real-time systems. Contribute to design and implementation. Enhance system reliability", "postedDate" : "2026-06-14T20:59:31.403", "createdAt" : "2026-06-14T20:59:31.403", "lastUpdated" : "2026-06-15T22:02:19.458", "ingestTimestamp" : "2026-06-14T20:59:31.403", "mongoId" : "6a2c95ac74d8ee00a098db14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Testable code writing", "Mentoring", "Trading Engineering", "Real-time systems", "System design", "Software development", "Software testing", "Business needs translation", "Risk domain", "Trading domain", "Event-driven architecture", "Real-time decision-making systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 848.02136, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.97 }, { "id" : "6a210eb674d8ee00a0af9334", "title" : "Staff Software Engineer, 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"IT", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Software Engineer in India, adjusted for lead seniority and the technology industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T11:53:46.619", "fingerprint" : "67dd39b848fc570c6f7dcf482ba285b666258243f31f93ab12899a577d049ff3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/4a2f85cb-e418-4854-ae63-10f56f955659/apply", "externalId" : "4a2f85cb-e418-4854-ae63-10f56f955659", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Kubernetes, AWS, Azure, GCP, CI/CD, AI/ML", "professionalSkills" : [ "System design", 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"intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, System design, Cloud infrastructure, Technical leadership", "majorSkillsList" : [ "Distributed systems", "System design", "Cloud infrastructure", "Technical leadership" ], "coreResponsibilities" : "Define technical architecture, Drive technical architecture, Translate business requirements, Translate product requirements, Develop technical strategies, Break down initiatives, Design production systems, Build production systems, Operate production systems, Lead cross-team initiatives, Influence engineering decisions, Drive alignment through RFCs, Drive alignment through architecture reviews, Own systems end-to-end, Monitor systems, Respond to incidents, Improve reliability, Integrate AI tools, Evaluate AI tools, Enhance system capabilities, Mentor engineers, Raise engineering standards, Contribute to technical culture", "teamCollaboration" : "Cross-team initiatives; Engineering decisions; Architecture reviews", "projectManagementSkills" : [ "Delivery plans" ], "domainKnowledge" : "Distributed systems; Ingestion pipelines; API integrations; Entitlement enforcement; Scalability; Reliability; Security; Performance; Observability; Operational excellence; Cloud infrastructure; AI-assisted development; AI/ML models", "domainList" : [ "distributed-systems", "ingestion-pipelines", "api-integrations", "entitlement-enforcement", "scalability", "reliability", "security", "performance", "observability", "operational-excellence", "cloud-infrastructure", "ai-assisted-development", "ai-ml-models" ], "domainSpecificKnowledge" : [ "Distributed systems", "Ingestion pipelines", "API integrations", "Entitlement enforcement", "Scalability", "Reliability", "Security", "Performance", "Observability", "Operational excellence", "Cloud infrastructure", "AI-assisted development", "AI/ML models" ], "toolProficiency" : [ "Kubernetes", "AWS", "Azure", "GCP", "CI/CD pipelines", "Observability tools" ], "communicationSkills" : "RFCs", "documentationSkills" : "Documentation", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "AI-assisted development; AI tools", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Proficiency in Python, Production experience in one additional language, Designing and owning large-scale production systems, Experience leading cross-team initiatives, Deep understanding of system design principles, DevOps and cloud infrastructure experience, Experience mentoring engineers", "qualificationsPreferred" : "Kubernetes experience a plus, AWS/Azure/GCP experience a plus, CI/CD pipelines experience a plus, Observability tools experience a plus, AI-assisted development workflows familiarity, Openness to integrating AI tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and drive the technical architecture for large-scale distributed systems, including ingestion pipelines, API integrations, and entitlement enforcement services. Translate ambiguous business and product requirements into clear technical strategies, breaking down complex initiatives into executable delivery plans. Design, build, and operate production-grade systems with a strong focus on scalability, reliability, security, and performance. Lead cross-team technical initiatives, influence engineering decisions beyond your direct team, and drive alignment through RFCs and architecture reviews. Own systems end-to-end in production, including monitoring, incident response, and continuous reliability improvements. Integrate and evaluate AI-assisted development tools and, where relevant, AI/ML models to enhance system capabilities. Mentor engineers, raise engineering standards through code reviews and documentation, and contribute to a strong technical culture. Requirements: Strong proficiency in Python, with production experience in at least one additional programming language. Proven track record of designing and owning large-scale production systems with significant architectural responsibility. Experience leading cross-team initiatives such as migrations, platform evolution, or distributed system redesigns without formal authority. Deep understanding of system design principles, including scalability, failure modes, observability, and operational excellence. Strong DevOps and cloud infrastructure experience (e.g., Kubernetes, AWS/Azure/GCP, CI/CD pipelines, observability tools). Experience mentoring engineers and elevating team performance through technical leadership and collaboration. Familiarity with AI-assisted development workflows and openness to integrating modern AI tools into engineering practice. Benefits: High-impact role with direct influence on systems used by global enterprise customers. Significant technical ownership with autonomy to shape architecture and long-term engineering direction. Opportunity to work on complex, high-scale problems in data processing, entitlements, and real-time systems. Exposure to modern AI-driven engineering workflows and cutting-edge development practices. Collaborative, high-caliber engineering environment focused on learning, mentorship, and technical excellence. Flexible and supportive work culture with emphasis on ownership and accountability. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Staff Software Engineer. Skills: Distributed systems, System design, Cloud infrastructure, Technical leadership. Define technical architecture. Drive technical architecture", "postedDate" : "2026-06-15T11:56:12.637", "createdAt" : "2026-06-15T11:56:12.637", "lastUpdated" : "2026-06-16T11:53:46.619", "ingestTimestamp" : "2026-06-16T03:24:59.148", "mongoId" : "6a30511af292fd229cefa730", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "API integrations", "Entitlement enforcement", "Scalability", "Reliability", "Security", "Performance", "Monitoring", "Incident response", "Cloud infrastructure", "Operational excellence", "Mentoring", "System design", "Technical leadership", "Technical strategy", "Delivery plans", "Architecture reviews", "Ingestion pipelines", "Observability", "AI-assisted development", "AI/ML models", "Kubernetes", "AWS", "Azure", "GCP", "CI/CD pipelines", "Observability tools" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 846.57404, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c95ac74d8ee00a098db13", "title" : "Staff Engineer-FBG", "company" : "Fanatics Betting & Gaming", "industry" : "Retail", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer in Ireland, adjusted for executive seniority and the sports industry." }, "location" : "Ireland", "locations" : [ "Ireland", "United Kingdom" ], "timestamp" : "2026-06-15T22:24:36.095", "fingerprint" : "34d847067bb87dee4d49e206b4398e3b39c172d431366be528172610c50ab63d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4212631009", "externalId" : "4212631009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "remote" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ireland; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, Azure", "professionalSkills" : [ "System design", "Software development", "Software testing", "Business needs translation" ], "hardSkillsList" : [ "Testable code writing" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Testable code writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Trading Engineering, Real-time systems", "majorSkillsList" : [ "Trading Engineering", "Real-time systems" ], "coreResponsibilities" : "Contribute to design and implementation, Enhance system reliability, Enhance system efficiency, Analyze complex problems, Address complex problems, Improve overall performance, Improve scalability, Write efficient code, Write modular code, Write testable code, Support product lifecycle, Ensure smooth operation, Ensure reliability, Communicate effectively, Escalate challenges, Participate in code reviews, Elevate code quality, Foster knowledge sharing, Collaborate with Product teams, Collaborate with Quant teams, Collaborate with Engineering teams, Ensure timely delivery, Align applications with product vision, Play active role in team discussions, Gain insights into design philosophies, Contribute to product evolution, Enhance software quality, Focus on testability, Focus on operational metrics, Focus on documentation, Become product minded engineer, Develop fundamental understanding, Engage in mentorship opportunities, Learn knowledge, Share knowledge, Promote team growth, Support critical operations, Participate in on-call rotation", "teamCollaboration" : "Cross-functional teams; Product teams; Quant teams; Engineering teams", "domainKnowledge" : "Event-driven architecture; Real-time decision-making systems; Sports betting industry; Sports fan engagement", "domainList" : [ "event-driven-architecture", "real-time-decision-making-systems", "sports-betting-industry", "sports-fan-engagement" ], "domainSpecificKnowledge" : [ "Event-driven architecture", "Real-time decision-making systems", "Sports betting industry", "Sports fan engagement" ], "communicationSkills" : "Demystify technical topics", "documentationSkills" : "Comprehensive documentation", "continuousLearning" : "Learning opportunities; Personal development; Team growth", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "On-call rotation, Occasional travel", "qualificationsBasic" : "8+ years experience building scalable applications, 8+ years C# experience, Understanding of SOLID principles, Understanding of DRY principles, Understanding of TDD principles, Understanding of BDD principles, Experience building software using DDD, Experience partnering with cross-functional teams", "qualificationsPreferred" : "Azure experience a plus, Familiarity with sports betting, Keen interest in sports", "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 Staff Engineer 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 Contribute to the design and implementation of scalable, secure, and high-performance solutions within our event-driven architecture, focusing on enhancing system reliability and efficiency. Assist in analyzing and addressing complex problems in multifaceted systems to improve overall performance and scalability. Write efficient, modular, and testable code that adheres to our commitment to innovation and quality standards. Support the product lifecycle from concept through development and deployment, and beyond, ensuring smooth operation and reliability of our platform. Communicate effectively, escalating challenges as necessary and participating in code reviews to elevate code quality and foster knowledge sharing Collaborate seamlessly with Product, Quant and Engineering teams to ensure timely delivery of stable and reliable applications aligned with our product vision. Play an active role in team discussions on planning and design, gaining insights into design philosophies and contributing to our product's evolution. Enhance software quality through focusing on testability, operational metrics, and comprehensive documentation. Become a product minded engineer developing a fundamental understanding of our industry, product, feature set and roadmap Engage in mentorship opportunities to both learn and share knowledge, promoting personal and team growth. Support critical operations through participation in an on-call rotation Be willing to travel occasionally for special events and for essential offsite meetings and team collaboration sessions. Experience and Skills At least 8+years of real-world demonstrable experience building & deploying scalable, high-performance applications. 8+ years of experience with C# and cloud platforms (Azure a plus). Effective communication skills, capable of demystifying complex technical topics for diverse audiences. Excellent analytical and problem-solving skills. Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Understanding of software design, development, and testing principles including SOLID, DRY, TDD, BDD. Passion for software development and system architecture and sharing knowledge within a highly collaborative team. Familiarity with sports betting or a keen interest in sports is desirable. Experience of building software using Domain Driven Design (DDD) Ability to translate business needs into technical solutions. Experience in partnering with cross-functional teams. Experience working in a start-up environment Passionate about working in a highly collaborative team 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" : "Staff Engineer-FBG at Fanatics Betting & Gaming. Skills: Trading Engineering, Real-time systems. Contribute to design and implementation. 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The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. This is an onsite role only. Job Purpose and Overview Step into the world of metal additive manufacturing for the KARNO generator, where advanced laser powder-bed fusion meets real engineering challenge. Engineers in this group work across machine behavior, process optimization, material performance, data analytics, and hardware development to ensure high-quality, repeatable production using metal laser powder-bed fusion systems. If you’re the kind of engineer who enjoys digging into machine behavior, fine-tuning laser strategies, studying how materials evolve layer by layer, and pushing metal AM systems to run cleaner, faster, and more consistently, this team is built for you. The work is hands-on, data-driven, and central to scaling a first-of-its-kind distributed power technology. In this role, you’ll move across the entire additive manufacturing ecosystem. You’ll investigate how machine settings influence melt pools, porosity, and microstructure, and you’ll design controlled experiments to refine parameters and boost repeatability. A big part of the job involves troubleshooting machine quirks, interpreting sensor data, and making sense of real-time process feedback. You’ll also be working closely with design, materials, and hardware teams to bring complex AM components from early prototypes into reliable production. Along the way, you’ll help build the systems, standards, and workflows that turn metal AM into a high-trust, high-reliability manufacturing process for power-generation hardware. Duties and Responsibilities: Parameter Development Focus Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability. Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation. Build and maintain parameter sets for new alloys, new hardware, and new machine configurations. Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality. Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior. Machine Development Focus Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization. Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds. Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance. Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies. Collaborate with equipment vendors and internal engineering teams on new machine features, experimental setups, and pilot systems. Drive automation, digital manufacturing, and data-acquisition improvements for machine performance monitoring. Qualifications Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education, Experience and Certifications Required Bachelor’s degree in mechanical, materials science, aerospace, or related engineering discipline. Requires a minimum of 5 years of engineering experience after earning a bachelor’s degree; relevant graduate project work can be applied toward requirements. Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED. Background in fabrication, prototyping, testing, or process development within an engineering environment. Ability to interpret engineering drawings, apply GD and given the nature of our business is also exposed to operations/warehouses/production environments. Physical/Other Requirements Ability to lift and/or move up to 50 pounds. Ability to travel domestically, as needed, by plane, automobile, etc. approximately 30% of the time, Benefits: Medical Plans, with PPO or HDHP options Dental Plans, with buy-up option Vision Plan Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options Short Term Disability, paid for by the company Long Term Disability, paid for by the company Flexible Spending Accounts (FSA) Health Savings Account (HSA) 401k/Roth 401k Voluntary Accident Plans Voluntary Critical Illness Plans Hospital Indemnity Plan Hyliion is proud to be an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, disability, veteran status. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to otherwise participate in the employment selection process, please direct your inquires to Hyliion’s human resources department at HR@hyliion.com.", "summaryDescription" : "Advanced Engineer, Additive Process at Hyliion", "postedDate" : "2026-06-15T23:21:26.742", "createdAt" : "2026-06-15T23:21:26.742", "lastUpdated" : "2026-06-16T08:31:28.164", "ingestTimestamp" : "2026-06-15T23:21:26.742", "mongoId" : "6a3057abf292fd229cf3ccc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 839.43176, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080e2f292fd229c06807e", "title" : "Staff Storage Engineer", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Storage Engineer in Bengaluru, India, adjusted for seniority, industry, and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "timestamp" : "2026-06-16T12:11:48.148", "fingerprint" : "025bc38d93db1ffa514b819e767e1a18cd3914204bb6f1a89f82e015f6e1e3a4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132111229-staff-storage-engineer", "externalId" : "744000132111229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "NetApp, Dell, Dell ECS, Google Cloud Storage, NetBackup, Brocade, Cisco MDS, Linux, Windows, VMware, HyperV, FC, CIFS, NFS, Azure, AWS, GCP", "professionalSkills" : [ "System design", "Project management", "Risk mitigation", "Process improvement" ], "hardSkillsList" : [ "Storage architecture", "Backup solutions", "SAN fabric management", "Capacity planning", "Performance management", "Disaster recovery", "High availability" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Storage architecture", "level" : "intermediate" }, { "name" : "Backup solutions", "level" : "intermediate" }, { "name" : "SAN fabric management", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Enterprise storage systems, Backup solutions, SAN Fabric, Data centers", "majorSkillsList" : [ "Enterprise storage systems", "Backup solutions", "SAN Fabric", "Data centers" ], "coreResponsibilities" : "Design and Architect solutions, Support global storage environments, Support backup environments, Support data environments, Work on storage arrays, Analyze storage issues, Troubleshoot storage issues, Manage SAN Fabric, Design backup solutions, Architect backup solutions, Manage backup solutions, Design disaster recovery strategies, Architect disaster recovery strategies, Manage disaster recovery strategies, Interact with senior management, Interact with business customers, Interact with external vendors, Identify technical risks, Mitigate technical risks, Identify process inefficiencies, Mitigate process inefficiencies, Adjust priorities, Sort priorities, Distinguish priorities, Handle multiple tasks, Be flexible, Meet deadlines, Meet commitments, Handle interrupts, Guide junior team members, Mentor junior team members, Further SanDisk culture, Further SanDisk values", "teamCollaboration" : "Cross functional teams; Globally dispersed organization; High performing team", "projectManagementSkills" : [ "Organization", "Planning", "Project management" ], "domainKnowledge" : "Enterprise storage systems; Backup solutions; Data centers; SAN Fabric; Flash memory; 4IR innovations; Global supply chain", "domainList" : [ "enterprise-storage-systems", "backup-solutions", "data-centers", "san-fabric", "flash-memory", "4ir-innovations", "global-supply-chain" ], "domainSpecificKnowledge" : [ "Enterprise storage systems", "Backup solutions", "Data centers", "SAN Fabric", "Flash memory", "4IR innovations", "Global supply chain" ], "toolProficiency" : [ "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV" ], "communicationSkills" : "Interact with senior management; Interact with business customers", "innovationCreativity" : "Innovate solutions", "problemSolvingSkills" : "Analyze issues; Troubleshoot issues", "specialRequirements" : "Work independently, Minimal oversight", "qualificationsBasic" : "Expert knowledge of NetApp hardware, Expert knowledge Dell products, Experience with Dell ECS, Experience with Google Cloud Storage, Experience with Backup tools, Solid understanding of NetApp CDOT, Knowledge of FC, CIFS, NFS, Knowledge of storage monitoring, Knowledge of OS upgrades, Knowledge of firmware upgrades, Experience with Brocade Director switches, Knowledge of Linux systems, Knowledge of Windows systems, Knowledge of VMware, Knowledge of HyperV, Knowledge of Capacity Planning, Knowledge of Performance Management, Knowledge of High Availability, Knowledge of Disaster Recovery, Knowledge of Maintenance", "qualificationsPreferred" : "Knowledge for Network and Infrastructure Security is desirable, Experience with All-Flash storage arrays, Experience with Nasuni Cloud Appliance, Cloud (Azure/AWS/GCP) exposure & experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. About the Role :- We are looking for a seasoned technical storage professional where the candidate will primarily work on design, architect and build solutions for enterprise storage systems and backups in our global data centers and business offices. Storage disciplines should focus on Dell Products, NetApp Products, Nasuni Cloud Appliance as well as SAN Fabric and Backup Solutions (NetBackup primarily). The candidate should possess knowledge of Linux systems, Windows systems & Virtualization (VMware, HyperV) environment. Candidate must have knowledge around Capacity Planning, Performance Management, High Availability and Disaster Recovery, Maintenance. Knowledge for the functions of - Network and Infrastructure Security is desirable. The candidate will collaboratively work within a high performing team within a globally dispersed organization. Prior working experience in a global role is deserved as well as ability to work and function independently with minimal oversight. Responsibilities:- * Design and Architect cost effective, integrated engineering solutions focused on supporting SanDisk’s global storage, backup and data environments. * Storage exposure and working on diverse portfolio of storage arrays, including Dell/EMC (PowerMax, Unity, PowerScale, PowerStore), NetApp and object storage solutions. * Analyze and troubleshoot storage related issues working with cross functional teams. * Manage SAN Fabric using Brocade Directors & Cisco MDS switches. * Design, architect & manage backup solutions & strategies for disaster recovery. * Interact with senior management, business customers and external storage vendors. * Strong organization, planning, and project management. * Identify & mitigate technical risks and process inefficiencies. * Adjust, sort and distinguish priorities. * Handle multiple tasks and be flexible in a fast-paced environment. * Meeting deadlines and commitments in an environment that requires multitasking among multiple concurrent projects while also handling interrupts. * Guide and mentor junior team members. * Furthers SanDisk Organisational culture and values. ## Qualifications Key Technical Skills:- * Expert knowledge of NetApp hardware and software experience administering in mission-critical, 24x7 production environments. * Expert knowledge Dell products (including PowerMax/PowerScale/PowerStore/Unity hardware and software experience). * Experience with Dell ECS & Google Cloud Storage. * Experience with Backup tools (NetBackup/others). * Solid understanding of Network Appliance (NetApp) CDOT operations principles and techniques. * Strong knowledge of FC, CIFS, NFS, storage monitoring and upgrades of both OS and firmware. * Experience with All-Flash storage arrays and Nasuni Cloud Appliance is a plus. * Experience with Brocade Director class switches. * Cloud (Azure/AWS/GCP) exposure & experience. ## Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Staff Storage Engineer at Sandisk. Skills: Enterprise storage systems, Backup solutions, SAN Fabric, Data centers. Design and Architect solutions. Support global storage environments", "postedDate" : "2026-06-15T04:33:14.000", "createdAt" : "2026-06-16T01:37:30.315", "lastUpdated" : "2026-06-16T12:11:48.148", "ingestTimestamp" : "2026-06-16T01:37:30.315", "mongoId" : "6a3080e2f292fd229c06807e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Storage architecture", "Backup solutions", "SAN fabric management", "Capacity planning", "Performance management", "Disaster recovery", "High availability", "Leadership", "Enterprise storage systems", "SAN Fabric", "Data centers", "System design", "Project management", "Risk mitigation", "Process improvement", "Organization", "Planning", "Flash memory", "4IR innovations", "Global supply chain", "Dell PowerMax", "Dell Unity", "Dell PowerScale", "Dell PowerStore", "NetApp", "Nasuni Cloud Appliance", "Brocade Directors", "Cisco MDS switches", "NetBackup", "VMware", "HyperV" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 837.0849, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b5d74d8ee00a094954c", "title" : "Staff Engineer, Digital ASIC Design (CONTRACT)", "company" : "Butterfly Network", "industry" : "Manufacturing", "salary" : { "min" : 200000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Engineer, Digital ASIC Design in Burlington, United States, adjusted for lead seniority and contract employment type." }, "location" : "Burlington, Massachusetts, United States", "locations" : [ "Burlington", "Massachusetts", "United States", "New York", "New York", "United States", "Other", "United States - Remote" ], "timestamp" : "2026-06-15T08:02:56.148", "fingerprint" : "0d51017d8b9e30fb71f9da195952c97a1c7f78a79c2099227fbd2749fd35b4c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.butterflynetwork.com/careers?gh_jid=7753344003", "externalId" : "7753344003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burlington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.5048167,-71.1956111" } ], "locationText" : "Burlington, Massachusetts, United States", "employmentType" : "CONTRACT", "minimumEducation" : "BS/MS/PhD", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "RTL, SystemVerilog, Verilog, Python, UVM", "professionalSkills" : [ "Silicon design", "ASIC design", "SoC design", "RTL implementation", "Verification closure", "Tapeout support", "Datapaths design", "Interface design", "Algorithm implementation", "Processor integration", "Data paths", "Design constraints", "Clock architecture", "Reset architecture", "CDC mitigation", "RDC mitigation", "Power-aware design", "PPA tradeoffs", "Reference models", "Post-silicon debug", "Silicon correlation", "Hardware-firmware interfaces", "Register maps", "Control paths", "Status paths", "Data-plane contracts", "DSP pipelines", "Fixed-point design", "Compute subsystems", "Memory tradeoffs", "Bandwidth tradeoffs" ], "hardSkillsList" : [ "RTL design", "Digital IC design", "ASIC design", "SoC design", "RTL implementation", "Verification closure", "Tapeout support", "High-throughput streaming", "High-throughput datapaths", "Bandwidth budgeting", "Memory interface", "Design constraints", "Clock architecture", "Reset architecture", "CDC mitigation", "RDC mitigation", "Power-aware design", "PPA tradeoffs", "Reference model building", "Post-silicon bring-up", "Silicon debug", "Silicon correlation", "Hardware-firmware interface", "Register map definition", "Control path design", "Status path design", "Data-plane contracts", "DSP pipeline implementation", "Fixed-point design", "Programmable compute integration", "MPU integration", "Accelerator integration", "Control interface design", "Memory tradeoff analysis", "Bandwidth tradeoff analysis" ], "hardSkills" : [ { "name" : "RTL design", "level" : "intermediate" }, { "name" : "Digital IC design", "level" : "intermediate" }, { "name" : "ASIC design", "level" : "intermediate" }, { "name" : "SoC design", "level" : "intermediate" }, { "name" : "RTL implementation", "level" : "intermediate" }, { "name" : "Verification closure", "level" : "intermediate" }, { "name" : "Tapeout support", "level" : "intermediate" }, { "name" : "High-throughput streaming", "level" : "intermediate" }, { "name" : "High-throughput datapaths", "level" : "intermediate" }, { "name" : "Bandwidth budgeting", "level" : "intermediate" }, { "name" : "Memory interface", "level" : "intermediate" }, { "name" : "Design constraints", "level" : "intermediate" }, { "name" : "Clock architecture", "level" : "intermediate" }, { "name" : "Reset architecture", "level" : "intermediate" }, { "name" : "CDC mitigation", "level" : "intermediate" }, { "name" : "RDC mitigation", "level" : "intermediate" }, { "name" : "Power-aware design", "level" : "intermediate" }, { "name" : "PPA tradeoffs", "level" : "intermediate" }, { "name" : "Reference model building", "level" : "intermediate" }, { "name" : "Post-silicon bring-up", "level" : "intermediate" }, { "name" : "Silicon debug", "level" : "intermediate" }, { "name" : "Silicon correlation", "level" : "intermediate" }, { "name" : "Hardware-firmware interface", "level" : "intermediate" }, { "name" : "Register map definition", "level" : "intermediate" }, { "name" : "Control path design", "level" : "intermediate" }, { "name" : "Status path design", "level" : "intermediate" }, { "name" : "Data-plane contracts", "level" : "intermediate" }, { "name" : "DSP pipeline implementation", "level" : "intermediate" }, { "name" : "Fixed-point design", "level" : "intermediate" }, { "name" : "Programmable compute integration", "level" : "intermediate" }, { "name" : "MPU integration", "level" : "intermediate" }, { "name" : "Accelerator integration", "level" : "intermediate" }, { "name" : "Control interface design", "level" : "intermediate" }, { "name" : "Memory tradeoff analysis", "level" : "intermediate" }, { "name" : "Bandwidth tradeoff analysis", "level" : "intermediate" } ], "majorSkills" : "Digital ASIC Design, RTL Design, SoC Design, Verification Closure", "majorSkillsList" : [ "Digital ASIC Design", "RTL Design", "SoC Design", "Verification Closure" ], "coreResponsibilities" : "Design RTL for large SoCs, Develop low-power RTL, Implement signal processing algorithms in RTL, Optimize signal processing algorithms in RTL, Integrate embedded processor cores, Develop high bandwidth on chip data paths, Support post-silicon bring-up/debug, Support silicon correlation, Root-cause issues, Deliver fixes, Close hardware–firmware interfaces, Define register maps, Define control/status paths, Define data-plane contracts", "teamCollaboration" : "Collaboration with verification; Cross-functional communication; Partnering with firmware; Partnering with validation; Stakeholder communication", "domainKnowledge" : "Digital ASIC Design; SoC Logic; Digital Signal Processing; High Speed Interfaces; Advanced Node Silicon; Silicon Design Constraints; Ultrasound Systems; Medical Imaging; Data Acquisition Pipelines; Image Quality KPIs; Programmable Compute Subsystems", "domainList" : [ "digital-asic-design", "soc-logic", "digital-signal-processing", "high-speed-interfaces", "advanced-node-silicon", "silicon-design-constraints", "ultrasound-systems", "medical-imaging", "data-acquisition-pipelines", "image-quality-kpis", "programmable-compute-subsystems" ], "domainSpecificKnowledge" : [ "Digital ASIC Design", "SoC Logic", "Digital Signal Processing", "High Speed Interfaces", "Advanced Node Silicon", "Silicon Design Constraints", "Ultrasound Systems", "Medical Imaging", "Data Acquisition Pipelines", "Image Quality KPIs", "Programmable Compute Subsystems" ], "toolProficiency" : [ "SystemVerilog", "Verilog", "Python", "UVM", "Cocotb" ], "communicationSkills" : "Cross-functional communication", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root-cause issues; Troubleshooting", "qualificationsBasic" : "BS/MS/PhD in EE/CE, 8+ years digital IC/ASIC/SoC design, Hands-on RTL ownership, Major-IP or full-chip tapeout cycle, IP/subsystem ownership, Micro-architecture and RTL implementation, Verification closure and tapeout support, RTL skills in SystemVerilog/Verilog, Pipelined datapaths, Control logic/state machines, High-throughput streaming interfaces, Sustained high-throughput datapaths, Buffering/FIFOs, Arbitration/ack/pressure, Bandwidth budgeting, SRAM/memory interface considerations, Silicon-level design constraints, Clock/reset architecture, CDC/RDC risk mitigation, Power-aware design, PPA tradeoffs, Collaboration with verification, Functional closure through signoff, Bit-accurate reference models, Python for reference models, Validate fixed-point behavior, End-to-end checking, Post-silicon bring-up/debug, Silicon correlation, Root-cause issues and deliver fixes, Cross-functional communication, Close hardware–firmware interfaces, Register maps, Control/status paths, Data-plane contracts", "qualificationsPreferred" : "Compute-intensive DSP pipelines, Beamforming, Filtering, Noise reduction, MAC-heavy datapaths, Fixed-point design discipline, Ultrasound systems, Medical imaging systems, Sensor data acquisition pipelines, Image-quality KPIs, Advanced-node experience (28nm or smaller), Timing sensitivity, Third-party IP integration, Programmable compute subsystems integration, MPU/accelerator integration, Control interfaces, Memory/bandwidth tradeoffs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Description The role of the Staff Digital ASIC Designer offers the opportunity to work within the heart of the product development team and founders and to own the core of what will set Butterfly Network apart. This individual will design, implement, and verify digital signal processing, high speed interface, and system-on-a-chip logic for a suite of next-generation products. As part of our team, your core responsibilities will be: Develop low-power RTL for large SoCs in an advanced node. Implement and optimize signal processing algorithms in RTL. Integrate multiple embedded processor cores into a large design. Develop efficient high bandwidth on chip data paths. Other Technology, Architecture, & Productivity duties as assigned Qualifications Baseline skills/experiences/attributes: BS/MS/PhD in EE/CE (or equivalent practical silicon design experience). 8+ years (typical Staff level) in digital IC / ASIC / SoC design with substantial hands-on RTL ownership and at least one major-IP or full-chip tapeout cycle. Proven ownership of a defined digital IP/subsystem from micro-architecture and RTL implementation through verification closure and tapeout support. Strong RTL skills in SystemVerilog/Verilog, including pipelined datapaths, control logic/state machines, and high-throughput streaming interfaces. Experience designing sustained high-throughput datapaths, including buffering/FIFOs, arbitration/backpressure, bandwidth budgeting, and SRAM/memory interface considerations. Strong understanding of silicon-level design constraints, including clock/reset architecture, CDC/RDC risk mitigation, power-aware design, and PPA tradeoffs. Effective collaboration with verification to drive functional closure through signoff (SV/UVM and/or Python-based frameworks such as cocotb). Experience building and using bit-accurate reference models (e.g., Python) to validate fixed-point behavior and enable end-to-end checking. Experience supporting post-silicon bring-up/debug and silicon correlation, partnering with firmware/validation to root-cause issues and deliver fixes. Strong cross-functional communication to close hardware–firmware interfaces (register maps, control/status paths, data-plane contracts) with systems/firmware stakeholders. Ideally, you also have these skills/experiences/attributes (but it’s ok if you don’t!): Experience implementing compute-intensive DSP pipelines (e.g., beamforming, filtering, noise reduction, MAC-heavy datapaths) with fixed-point design discipline. Exposure to ultrasound / medical imaging systems or sensor data acquisition pipelines and image-quality KPIs. Advanced-node experience (28nm or smaller), including timing sensitivity and third-party IP integration. (Optional, only if this matches the role) Experience integrating programmable compute subsystems (MPU/accelerator), including control interfaces and memory/bandwidth tradeoffs. Values Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in… Patient-Centric Innovators: Our mission is THE mission. Empowered to Impact: Every voice matters. One Team, One Goal: Unity fuels progress. Growth Champions: We embrace challenges. Action-Oriented Achievers: We follow through, every time. Location Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers. This is a hybrid position and will be based out of our office in either the Greater SF Bay Area or Burlington, MA. For this temporary role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship or transfer for employment visa status. Butterfly network does not accept agency resumes for this temporary position. Butterfly Network Inc. is an E-Verify Company and is an equal opportunity employer regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or", "summaryDescription" : "Staff Engineer, Digital ASIC Design (CONTRACT) at Butterfly Network. Skills: Digital ASIC Design, RTL Design, SoC Design, Verification Closure. Design RTL for large SoCs. Develop low-power RTL", "postedDate" : "2026-06-14T03:03:51.252", "createdAt" : "2026-06-14T03:03:51.252", "lastUpdated" : "2026-06-15T08:02:56.148", "ingestTimestamp" : "2026-06-14T03:03:51.252", "mongoId" : "6a2c7b5d74d8ee00a094954c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 280000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "RTL design", "Digital IC design", "ASIC design", "SoC design", "RTL implementation", "Verification closure", "Tapeout support", "High-throughput streaming", "High-throughput datapaths", "Bandwidth budgeting", "Memory interface", "Design constraints", "Clock architecture", "Reset architecture", "CDC mitigation", "RDC mitigation", "Power-aware design", "PPA tradeoffs", "Reference model building", "Post-silicon bring-up", "Silicon debug", "Silicon correlation", "Hardware-firmware interface", "Register map definition", "Control path design", "Status path design", "Data-plane contracts", "DSP pipeline implementation", "Fixed-point design", "Programmable compute integration", "MPU integration", "Accelerator integration", "Control interface design", "Memory tradeoff analysis", "Bandwidth tradeoff analysis", "Digital ASIC Design", "RTL Design", "SoC Design", "Verification Closure", "Silicon design", "Datapaths design", "Interface design", "Algorithm implementation", "Processor integration", "Data paths", "Reference models", "Post-silicon debug", "Hardware-firmware interfaces", "Register maps", "Control paths", "Status paths", "DSP pipelines", "Compute subsystems", "Memory tradeoffs", "Bandwidth tradeoffs", "SoC Logic", "Digital Signal Processing", "High Speed Interfaces", "Advanced Node Silicon", "Silicon Design Constraints", "Ultrasound Systems", "Medical Imaging", "Data Acquisition Pipelines", "Image Quality KPIs", "Programmable Compute Subsystems", "SystemVerilog", "Verilog", "Python", "UVM", "Cocotb" ], "skillCount" : 70, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 836.0363, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e5074d8ee00a09520f9", "title" : "Senior Development Engineer (Core Engine)", "company" : "Office Ally", "industry" : "Healthcare", "salary" : { "min" : 120000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Brentwood, Tennessee, United States", "locations" : [ "Brentwood", "Tennessee", "United States", "Concord", "California", "United States", "Lehi", "Utah", "United States" ], "timestamp" : "2026-06-16T03:29:44.164", "fingerprint" : "7fab1f5b57a036d33e1cd7673fbc5a24131535b62a0fd50b618ce1746e96b52c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://cms.officeally.com/company/job-listing?gh_jid=4224240009", "externalId" : "4224240009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brentwood", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.0325687,-86.7825235" } ], "locationText" : "Brentwood, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "About Us At Office Ally, we’ve been revolutionizing healthcare administration since our inception. What started as a clearinghouse focused on simplifying insurance claims processing for healthcare providers has grown into a full-suite healthcare technology company. We offer a range of affordable, cloud-based revenue cycle management solutions –from eligibility verification and claims management to revenue recovery and payment processing –that help healthcare organizations of all sizes streamline operations and reduce administrative burdens so they can focus on what matters most: patient care. In April 2026, Office Ally acquired Jopari Solutions, Inc, a leader in straight-through electronic claims processing for Property & Casualty (P&C), Commercial, and Government healthcare. Jopari brings deep industry expertise and innovative enterprise payment solutions that are transforming how disbursements are handled across the insurance ecosystem. Together, we are expanding our capabilities across the full healthcare transaction lifecycle, connecting claims, payments, and data exchange to deliver a more seamless and efficient experience for providers, payers, and partners. At the core of our company are four key values that guide our mission and work: Ownership: We take pride in our responsibilities, driving results and taking accountability for the success of our projects. Empowerment: We believe in giving our team the autonomy and support to make decisions that lead to innovative solutions. Innovation: We continuously seek new and better ways to improve healthcare administration, embracing creativity and forward-thinking technology. Transparent Communication: Open, honest communication is at the heart of our collaborations, internally and with our clients, ensuring alignment and trust. About the Role This is an opportunity to join a growing company transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will play a key role in designing, building, and maintaining scalable applications and APIs that power mission-critical healthcare and insurance workflows. This role focuses on backend architecture, service development, data processing, and system integration, ensuring high performance, reliability, and maintainability across platforms. You will work across multiple initiatives, partnering with product, engineering, and implementation teams to deliver robust backend capabilities that support complex transaction processing and customer integrations. You will also leverage modern engineering practices, including AI-assisted development tools (Claude Code, GitHub Copilot) to improve development speed and efficiency, and apply modern testing approaches such as automated API and workflow validation (e.g., Playwright, where applicable) to ensure system reliability. This role is central to building and maintaining the backend systems that power our core products and integrations. You will directly impact system scalability, reliability, and performance across multiple customer-facing and internal platforms. Your work will help ensure that complex healthcare and insurance transactions are processed accurately, efficiently, and securely at scale. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week. What You’ll Do Design, develop, and maintain backend services, APIs, and core platform components Build scalable systems using Java and Spring Boot or similar frameworks Develop and support RESTful APIs and service integrations across internal and external systems Participate in system design and architecture discussions for scalable backend solutions Work closely with product, implementation, QA, and engineering teams to define technical requirements Support complex data processing, transformation, and integration workflows Ensure backend systems are secure, reliable, and performant under high transaction volumes Utilize Claude to support development, accelerate problem-solving, and improve productivity while maintaining high code quality. Contribute to CI/CD pipelines, deployment automation, and DevOps practices Write clean, maintainable, and testable code with strong unit and integration test coverage Apply modern engineering practices, including shift-left testing and continuous quality improvement Use AI-assisted development tools (Claude Code, Copilot, etc.) to accelerate development, debugging, and analysis Improve system observability through logging, monitoring, and diagnostics enhancements Troubleshoot production and integration issues as needed What You’ll Need Bachelor’s degree or equivalent experience in Computer Science or related field 8+ years of backend software engineering experience Strong experience in Java and backend service development Solid understanding of RESTful APIs and distributed systems design Experience with Spring Boot or similar backend frameworks Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases Experience working with cloud platforms (AWS, Azure, or GCP) Experience and passion around working with AI: Copilot, Claude, Windsurf, Gemini Code, or similar Experience with containerization (Docker) and orchestration (Kubernetes) Familiarity with CI/CD pipelines (Jenkins or similar tools) Deep understanding of Agile development methodologies Experience building maintainable, scalable backend systems Nice to Have Experience in healthcare, insurance, or financial services systems Exposure to high-volume transaction processing or integration-heavy environments Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ, etc.) Familiarity with Elastic Cloud Experience with API testing or workflow automation tools (Playwright, Postman, etc.) Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana, etc.) Strong debugging and production troubleshooting skills Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII) Strong communication skills and ability to collaborate across technical and non-technical teams Pay Transparency Office Ally is committed to fair and equitable compensation practices in alignment with pay transparency laws. Compensation for this position may vary based on individual skills, experience, and location. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) with company match, paid time off, and other benefits. Actual compensation will be determined considering the candidate’s qualifications, relevant experience, and internal equity. Office Ally Pay Transparency $120,000—$150,000 USD Why You’ll Love Working at Office Ally At Office Ally, your work has a direct impact on healthcare providers and their ability to deliver exceptional care. We’re driven by a mission to simplify healthcare administration, making it easier for providers to focus on what they do best—helping patients. As an Office Ally employee, you’ll be at the heart of our efforts to deliver exceptional service and software solutions to our clients in the healthcare space. EEO Note Office Ally is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Senior Development Engineer (Core Engine) at Office Ally", "postedDate" : "2026-06-14T19:20:46.720", "createdAt" : "2026-06-14T19:20:46.720", "lastUpdated" : "2026-06-16T03:29:44.164", "ingestTimestamp" : "2026-06-14T19:20:46.720", "mongoId" : "6a2c7e5074d8ee00a09520f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 831.5558, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a210e2a74d8ee00a0af603c", "title" : "Staff Silicon Physical Design Engineer, Quantum AI", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Silicon Physical Design Engineer in Mountain View, USA, adjusted for lead seniority and the technology industry." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[Goleta, CA, USA, [Goleta, CA, USA], Goleta, null, CA, US]" ], "timestamp" : "2026-06-16T11:19:47.865", "fingerprint" : "01de68b61fb9a89b022bc3366ddadfe921fdcb679067f7733500242d0a004ca5", "source" : "google", "language" : "en", "externalId" : "129450915651297990", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "summaryDescription" : "Staff Silicon Physical Design Engineer, Quantum AI", "postedDate" : "2026-06-16T01:48:20.326", "createdAt" : "2026-06-16T01:48:20.326", "lastUpdated" : "2026-06-16T11:19:47.865", "ingestTimestamp" : "2026-06-16T01:48:20.326", "mongoId" : "6a210e2a74d8ee00a0af603c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 827.69916, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a334c", "title" : "Intern Engineering Support - Abilene, TX (Advanced Planning Project Design)", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level engineering intern in Abilene, TX, adjusted for government industry and internship employment type." }, "location" : "UST-Texas-Abilene-Abilene District Headquarters", "locations" : [ "UST-Texas-Abilene-Abilene District Headquarters", "Hourly", "Nonexempt,
Abilene District Headquarters (08DISTHQ)
4250 NORTH CLACK
Abilene, 79601

, Abilene District Headquarters" ], "timestamp" : "2026-06-16T00:57:36.094", "fingerprint" : "4ffca6df5eb85fb16d4dbb890a06a87f1dceb5bc1ce6027e6e1eb9ce3a7679e7", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42706", "externalId" : "42706", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abilene", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4464500,-99.7475905" } ], "locationText" : "Abilene, Texas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "continuousLearning" : "Career development programs; Tuition assistance", "qualificationsBasic" : "Enrolled in engineering or related science degree program", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Abilene District is looking for a few eager students to work in our intern program. These intern positions will primarily cover the summer months, beginning in May going thru August. In a few circumstances if schedule and availability allow, these positions may continue throughout the year. These interns must be enrolled in an engineering or related science degree program in an accredited college or university accepted by TX PELS. These positions will offer the opportunity to gain valuable work experience, a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to a future career with the agency. At TxDOT you will work with skilled and licensed professionals to develop and enhance job skills through practical application. At TxDOT in the Abilene District, we have three core values: Safety for our employees and the traveling public, value our employees, and preserve our assets. We also strive to achieve a work-life balance and recognize the importance of your career as well as your home life. We offer a wide array of programs and activities including compressed work schedules, wellness leave incentive, career development programs, tuition assistance and many other benefits. 19.00 19.00", "summaryDescription" : "Intern Engineering Support - Abilene, TX (Advanced Planning Project Design) at TxDOT", "createdAt" : "2026-06-14T18:52:26.424", "lastUpdated" : "2026-06-16T00:57:36.094", "ingestTimestamp" : "2026-06-14T18:52:26.424", "mongoId" : "69dde4492beec4dd3d9a334c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 826.1579, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a774d8ee00a09423a8", "title" : "Staff Engineer, Integrations", "company" : "Showpad", "industry" : "SaaS", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Engineer, Integrations in Pune, India, adjusted for the SaaS industry and company size." }, "location" : "Pune", "locations" : [ "Pune" ], "timestamp" : "2026-06-16T05:12:30.409", "fingerprint" : "824463d91090f34a6555465f872bc72f692a6899ca4f62331521f5e6179ce608", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/showpad/jobs/8000256", "externalId" : "8000256", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TypeScript, Go, AWS, AWS CDK, DynamoDB, Amazon Aurora RDS, EventBridge, SQS, OpenTelemetry, Datadog", "professionalSkills" : [ "Architecture", "Backend Engineering", "Cloud Infrastructure", "Resiliency", "Eventing", "Observability", "Security", "Compliance", "Operational Readiness" ], "hardSkillsList" : [ "Event-driven architectures", "Asynchronous models", "Idempotent APIs", "Exponential backoff", "Webhook ingestion", "Tenant isolation", "Data minimization", "Cryptographic standards", "Telemetry instrumentation", "Structured logging", "Distributed tracing" ], "hardSkills" : [ { "name" : "Event-driven architectures", "level" : "intermediate" }, { "name" : "Asynchronous models", "level" : "intermediate" }, { "name" : "Idempotent APIs", "level" : "intermediate" }, { "name" : "Exponential backoff", "level" : "intermediate" }, { "name" : "Webhook ingestion", "level" : "intermediate" }, { "name" : "Tenant isolation", "level" : "intermediate" }, { "name" : "Data minimization", "level" : "intermediate" }, { "name" : "Cryptographic standards", "level" : "intermediate" }, { "name" : "Telemetry instrumentation", "level" : "intermediate" }, { "name" : "Structured logging", "level" : "intermediate" }, { "name" : "Distributed tracing", "level" : "intermediate" } ], "majorSkills" : "Integrations, Backend Architecture, AWS, Event-driven systems", "majorSkillsList" : [ "Integrations", "Backend Architecture", "AWS", "Event-driven systems" ], "coreResponsibilities" : "Design resilient backend services, Architect resilient backend services, Govern resilient backend services, Author Architecture Decision Records, Submit Architecture Decision Records, Develop decoupled microservices, Develop asynchronous microservices, Provision AWS resources, Manage DynamoDB databases, Manage Amazon Aurora RDS databases, Build idempotent outbound APIs, Architect asynchronous webhook ingestion pipelines, Instrument telemetry, Design Datadog dashboards, Deploy Datadog dashboards, Enforce tenant isolation, Align with GDPR data minimization, Adhere to SOC 2 cryptographic standards, Guide team through Operational Readiness Reviews, Ensure CI/CD quality gates are navigated", "teamCollaboration" : "Internal Integrations team; Cross-functional teams", "projectManagementSkills" : [ "CI/CD" ], "domainKnowledge" : "SaaS ecosystems; Event-driven architecture; Asynchronous models; Distributed systems; Serverless architectures; Cloud-native architecture; SOC 2 Type II; GDPR", "domainList" : [ "saas-ecosystems", "event-driven-architecture", "asynchronous-models", "distributed-systems", "serverless-architectures", "cloud-native-architecture", "soc-2-type-ii", "gdpr" ], "domainSpecificKnowledge" : [ "SaaS ecosystems", "Event-driven architecture", "Asynchronous models", "Distributed systems", "Serverless architectures", "Cloud-native architecture", "SOC 2 Type II", "GDPR" ], "toolProficiency" : [ "AWS CDK", "Datadog", "OpenTelemetry" ], "documentationSkills" : "Architecture Decision Records", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "6+ years of software engineering experience, Bachelor’s Degree in Information Technology, Computer Science, or Software Engineering, Deep expertise in TypeScript and Go, Extensive experience with AWS, Expert in designing decoupled, event-driven architectures, Proficient in application observability", "qualificationsPreferred" : "Working knowledge of utilizing AI-first coding assistants", "rawDescription" : "Staff Integration Engineer (Backend & Architecture) About the Role This is a senior/lead role and a critical opportunity to anchor our newly formed internal Integrations team. You will design, architect, and govern the resilient backend services that connect the Showpad platform with leading SaaS ecosystems. You will be the primary technical gatekeeper, ensuring all backend architectures meet our stringent enterprise standards for security, scalability, and observability. Key Responsibilities Architectural Leadership: Author and submit Architecture Decision Records (ADRs) for all new integrations, ensuring alignment with event-driven, asynchronous models. Backend Engineering: Develop isolated, decoupled microservices strictly utilizing TypeScript and Go. Cloud Infrastructure: Provision resources exclusively using AWS CDK (Infrastructure as Code) across multi-region environments. Implement and manage DynamoDB and Amazon Aurora RDS databases. Resiliency & Eventing: Build highly idempotent outbound APIs with exponential backoff algorithms. Architect strictly asynchronous webhook ingestion pipelines using AWS EventBridge and SQS. Enterprise Observability: Instrument rich telemetry using OpenTelemetry standards. Design and deploy Datadog Out-of-the-Box (OOTB) dashboards to monitor crucial Service Level Indicators (SLIs) like availability, latency, and throughput. Security & Compliance: Ensure all services strictly enforce tenant isolation, align with GDPR data minimization strategies, and adhere to SOC 2 Type II cryptographic standards. Operational Readiness: Guide the team through strict Operational Readiness Reviews (ORR) and ensure all CI/CD quality gates are successfully navigated prior to production releases. About You You have a Bachelor’s Degree in Information Technology, Computer Science, or Software Engineering, plus 6+ years of software engineering experience. You possess deep expertise in TypeScript and Go. You have extensive experience with AWS, specifically serverless architectures, CDK, EventBridge, SQS, and Secrets Manager. You are an expert in designing decoupled, event-driven architectures and understand the critical trade-offs of distributed systems. You are highly proficient in application observability (Datadog, OpenTelemetry, structured logging, distributed tracing). You have working knowledge of utilizing AI-first coding assistants.", "summaryDescription" : "Staff Engineer, Integrations at Showpad. Skills: Integrations, Backend Architecture, AWS, Event-driven systems. Design resilient backend services. Architect resilient backend services", "postedDate" : "2026-06-14T20:02:27.397", "createdAt" : "2026-06-14T20:02:27.397", "lastUpdated" : "2026-06-16T05:12:30.409", "ingestTimestamp" : "2026-06-14T20:02:27.397", "mongoId" : "6a2c79a774d8ee00a09423a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Event-driven architectures", "Asynchronous models", "Idempotent APIs", "Exponential backoff", "Webhook ingestion", "Tenant isolation", "Data minimization", "Cryptographic standards", "Telemetry instrumentation", "Structured logging", "Distributed tracing", "Integrations", "Backend Architecture", "AWS", "Event-driven systems", "Architecture", "Backend Engineering", "Cloud Infrastructure", "Resiliency", "Eventing", "Observability", "Security", "Compliance", "Operational Readiness", "CI/CD", "SaaS ecosystems", "Event-driven architecture", "Distributed systems", "Serverless architectures", "Cloud-native architecture", "SOC 2 Type II", "GDPR", "AWS CDK", "Datadog", "OpenTelemetry" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 823.25867, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05874d8ee00a09a1f65", "title" : "Staff Site Reliability Engineer - Platform Engineering", "company" : "NordVPN", "industry" : "NordVPN", "salary" : { "min" : 28600.0, "max" : 36000.0, "currency" : "PLN", "frequency" : "Yearly" }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T09:01:42.486", "fingerprint" : "9cfce1cfd528c0b7c9cea2124feb244732816e44057dc5665d11909a04c88532", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/2480f603-2be2-4934-80a3-31e42786952c/application", "externalId" : "2480f603-2be2-4934-80a3-31e42786952c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PostgreSQL, MySQL, Redis, OpenSearch, VictoriaMetrics, Nginx, HAProxy, Docker, Linux", "professionalSkills" : [ "Systems architecture", "Service communication", "Data flow", "Resilience patterns", "Infrastructure tooling", "Automation" ], "hardSkillsList" : [ "Linux administration", "Kernel tuning", "Debugging production systems", "Building containers", "Running containers", "Load balancing", "Failover" ], "hardSkills" : [ { "name" : "Linux administration", "level" : "intermediate" }, { "name" : "Kernel tuning", "level" : "intermediate" }, { "name" : "Debugging production systems", "level" : "intermediate" }, { "name" : "Building containers", "level" : "intermediate" }, { "name" : "Running containers", "level" : "intermediate" }, { "name" : "Load balancing", "level" : "intermediate" }, { "name" : "Failover", "level" : "intermediate" } ], "majorSkills" : "Site Reliability Engineering, Platform Engineering, Globally distributed systems, AI tooling", "majorSkillsList" : [ "Site Reliability Engineering", "Platform Engineering", "Globally distributed systems", "AI tooling" ], "coreResponsibilities" : "Design backend services, Operate backend services, Make architectural decisions, Manage full lifecycle, Plan implementation, Implement services, Monitor services, Respond to incidents, Conduct postmortems, Maintain infrastructure tooling, Improve infrastructure tooling, Automate infrastructure, Evaluate AI tooling, Integrate AI tooling", "teamCollaboration" : "Platform engineering team", "domainKnowledge" : "Globally distributed systems; Systems architecture; Service communication; Data flow; Resilience patterns; AI/LLM tooling", "domainList" : [ "globally-distributed-systems", "systems-architecture", "service-communication", "data-flow", "resilience-patterns", "ai-llm-tooling" ], "domainSpecificKnowledge" : [ "Globally distributed systems", "Systems architecture", "Service communication", "Data flow", "Resilience patterns", "AI/LLM tooling" ], "toolProficiency" : [ "GitLab", "Nexus", "Consul", "SaltStack", "Vault", "OpenSearch", "VictoriaMetrics", "Grafana" ], "documentationSkills" : "Documentation", "continuousLearning" : "Training programs; Mentorship; Career-switch opportunities", "innovationCreativity" : "Innovate with industry leaders", "problemSolvingSkills" : "Problem-solver", "qualificationsBasic" : "Designing and operating globally distributed systems, Systems architecture, Linux administration at scale, Docker, Databases, Web servers, load balancing, and failover, Working with dedicated hardware, Python or another scripting/programming language, Familiarity with AI/LLM tooling", "qualificationsPreferred" : "Kubernetes in production environments, SaltStack, Advanced networking", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands. Your impact? Helping millions take back control of their online security, privacy, and data. NordVPN protects millions of users daily through a global edge infrastructure spanning thousands of servers across dozens of countries. The platform engineering team builds and operates the internal backend services that make this possible. We're looking for a Staff Site Reliability Engineer (SRE) to design, build, operate, and improve these systems. This is a high-ownership role - you'll architect solutions, ship them to production. You're the person others rely on when the architecture needs rethinking or a service needs to go from zero to globally deployed. MAIN RESPONSIBILITIES - Design and operate on-demand, globally distributed backend services - Make architectural decisions on how internal services integrate and scale - Manage the full lifecycle: planning, implementation, monitoring, incident response, postmortems - Maintain and improve infrastructure tooling and automation - Contribute to engineering standards, documentation, and operational maturity - Evaluate and integrate AI tooling (LLMs, Claude Code, model integrations) into engineering workflows CORE REQUIREMENTS - Designing and operating globally distributed systems - Systems architecture - service communication, data flow, resilience patterns - Linux administration at scale (systemd, kernel tuning, debugging production systems) - Docker - building, shipping, and running containers in production - Databases - PostgreSQL, MySQL, Redis, OpenSearch, VictoriaMetrics - Web servers, load balancing, and failover (Nginx, HAProxy, or similar) - Working with dedicated/bare-metal hardware - Python or another scripting/programming language - Familiarity with AI/LLM tooling and practical application in engineering workflows BONUS POINTS FOR - Kubernetes in production environments - SaltStack (used heavily internally) - Advanced networking - BGP, anycast, tunneling, traffic engineering TOOLS YOU WILL USE - GitLab - Nexus - Consul - SaltStack - Vault - OpenSearch - VictoriaMetrics - Prefect/Airflow/Dagster - Grafana WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Staff Site Reliability Engineer - Platform Engineering at NordVPN. Skills: Site Reliability Engineering, Platform Engineering, Globally distributed systems, AI tooling. Design backend services. Operate backend services", "createdAt" : "2026-06-14T06:38:07.105", "lastUpdated" : "2026-06-15T09:01:42.486", "ingestTimestamp" : "2026-06-14T06:38:07.105", "mongoId" : "6a2ca05874d8ee00a09a1f65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Linux administration", "Kernel tuning", "Debugging production systems", "Building containers", "Running containers", "Load balancing", "Failover", "Site Reliability Engineering", "Platform Engineering", "Globally distributed systems", "AI tooling", "Systems architecture", "Service communication", "Data flow", "Resilience patterns", "Infrastructure tooling", "Automation", "AI/LLM tooling", "GitLab", "Nexus", "Consul", "SaltStack", "Vault", "OpenSearch", "VictoriaMetrics", "Grafana" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 822.90247, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 89274, "totalPages" : 1786, "hasNext" : true, "hasPrevious" : false } }

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