{ "count" : 17690, "data" : [ { "id" : "6a308757f292fd229c087fde", "title" : "Cloud Infrastructure Engineer", "company" : "RefinedScience", "industry" : "Biotech", "salary" : { "min" : 110000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Aurora, CO", "locations" : [ "Aurora", "CO" ], "certifications" : [ "Google Cloud Professional certification" ], "timestamp" : "2026-06-16T11:59:18.472", "fingerprint" : "050b3612bc2e9645b776f246e1624582a41c7293a654ce3176ebe1626cad879a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/refinedscience/jobs/5262462008", "externalId" : "5262462008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aurora", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7401441,-104.8733376" } ], "locationText" : "Aurora, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "GCP, Infrastructure as code, VPCs, Load balancers, DNS, Cloud Router, NAT, Firewall rules, GCE instances, Cloud Run, CI/CD pipelines, GitHub Actions, Google Cloud Build, Observability infrastructure, Metrics collection, Log aggregation, Dashboards, Backup, Disaster recovery, Containerization, Kubernetes, Python", "professionalSkills" : [ "Infrastructure platform support", "Scalable deployments", "Secure infrastructure", "Reliable infrastructure", "Containerized workload deployments", "Cross-functional collaboration", "Technical documentation", "Architecture diagrams" ], "hardSkillsList" : [ "Cloud networking", "Compute resource management", "Deployment pipeline management", "Observability infrastructure design", "Security control implementation", "Containerization best practices", "Infrastructure automation" ], "softSkillsList" : [ "Independent work", "Collaborative work" ], "hardSkills" : [ { "name" : "Cloud networking", "level" : "intermediate" }, { "name" : "Compute resource management", "level" : "intermediate" }, { "name" : "Deployment pipeline management", "level" : "intermediate" }, { "name" : "Observability infrastructure design", "level" : "intermediate" }, { "name" : "Security control implementation", "level" : "intermediate" }, { "name" : "Containerization best practices", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent work" }, { "name" : "Collaborative work" } ], "majorSkills" : "Cloud Infrastructure, Infrastructure as Code, CI/CD, GCP", "majorSkillsList" : [ "Cloud Infrastructure", "Infrastructure as Code", "CI/CD", "GCP" ], "coreResponsibilities" : "Design cloud infrastructure on GCP, Implement cloud infrastructure on GCP, Manage cloud networking components, Manage cloud compute resources, Build CI/CD pipelines, Maintain CI/CD pipelines, Design observability infrastructure, Maintain observability infrastructure, Implement security controls, Maintain compliance controls, Manage cloud services, Support internal applications deployment, Support internal applications maintenance, Champion containerization best practices, Support containerized workload deployments, Collaborate with cross-functional teams, Troubleshoot cloud infrastructure issues, Resolve cloud infrastructure issues, Troubleshoot deployment issues, Resolve deployment issues, Create technical documentation, Maintain technical documentation, Create runbooks, Maintain runbooks, Create architecture diagrams, Maintain architecture diagrams, Stay current with cloud trends, Evaluate new tools", "teamCollaboration" : "Software development teams; Data science teams; Clinical teams; Informatics teams; Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Regulated research environment; Healthcare research; HIPAA compliance", "domainList" : [ "regulated-research-environment", "healthcare-research", "hipaa-compliance" ], "domainSpecificKnowledge" : [ "Regulated research environment", "Healthcare research", "HIPAA compliance" ], "toolProficiency" : [ "Terraform", "Pulumi", "GitHub Actions", "Google Cloud Build", "Prometheus", "Grafana", "Kubernetes" ], "communicationSkills" : "Technical documentation; Clear technical documentation", "documentationSkills" : "Technical documentation; Runbooks; Architecture diagrams", "continuousLearning" : "Stay current with cloud technology trends; Evaluate new tools and approaches", "innovationCreativity" : "Evaluate new tools and approaches", "problemSolvingSkills" : "Troubleshoot and resolve issues", "qualificationsBasic" : "Bachelor's degree in Computer Science, Cloud engineering experience, Infrastructure engineering experience, Linux administration, Infrastructure as code experience, CI/CD pipelines experience, Cloud networking knowledge, Metrics collection experience, Operational dashboards experience, Scripting or automating infrastructure tasks, Written communication skills, Verbal communication skills, Technical documentation production", "qualificationsPreferred" : "Healthcare or life sciences experience, HIPAA compliance knowledge, GCP-native observability tooling experience, Prometheus/Grafana experience, Cloud IAM best practices experience, Security controls experience, Front-end application hosting infrastructure experience, Google Cloud Professional certification, Containerization technologies familiarity, Kubernetes exposure", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Cloud Infrastructure Engineer At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a Cloud Infrastructure Engineer to join our team. You will be responsible for designing, implementing, and maintaining cloud-based infrastructure and automation to meet the evolving needs of our organization. The ideal candidate has hands-on cloud engineering experience, is proficient with infrastructure as code, and is comfortable owning cloud networking, compute, and deployment pipelines in a regulated research environment. A key part of this role is serving as the infrastructure platform support layer for our software development and data science teams — helping them build, deploy, and observe their work reliably and at scale. You will collaborate closely with our development, data science, clinical, and informatics teams to deliver scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP). KEY ACTIVITIES Design and implement cloud infrastructure on GCP using infrastructure as code Manage cloud networking components including VPCs, load balancers, DNS, Cloud Router, NAT, and firewall rules Manage and optimize cloud compute resources including GCE instances, Cloud Run, and related services Build and maintain CI/CD pipelines using tools such as GitHub Actions or Google Cloud Build to support reliable, repeatable deployments Design and maintain observability infrastructure including metrics collection, log aggregation, and dashboards to surface actionable insights for engineering and research teams Implement and maintain security and compliance controls appropriate to a regulated healthcare research environment Manage cloud services including backup and disaster recovery Support deployment and maintenance of internal applications and their underlying infrastructure Champion containerization best practices and support containerized workload deployments Collaborate with cross-functional teams to ensure seamless integration with existing systems and workflows Troubleshoot and resolve cloud infrastructure and deployment issues Create and maintain clear technical documentation, runbooks, and architecture diagrams Stay current with cloud technology trends and evaluate new tools and approaches relevant to the organization MUST HAVES Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Experience in cloud engineering, infrastructure engineering, or a closely related role Strong proficiency with GCP; equivalent experience with AWS or Azure will be considered Linux administration and comfort working in Linux-based environments via command line Hands-on experience with infrastructure as code with Terraform and or Pulumi Demonstrated experience building and maintaining CI/CD pipelines (GitHub Actions, Google Cloud Build, or similar) Solid understanding of cloud networking: VPC design, load balancers, DNS, NAT, and firewall rule management Hands-on experience with metrics collection and building operational dashboards Experience scripting or automating infrastructure tasks in Python or a similar language Strong written and verbal communication skills with an ability to produce clear technical documentation Ability to work both independently and collaboratively within a cross-functional team NICE TO HAVES Experience in a healthcare or life sciences environment; working knowledge of HIPAA compliance requirements Experience with GCP-native observability tooling (Cloud Monitoring, Cloud Logging) in addition to Prometheus/Grafana Experience with cloud IAM best practices and security controls (VPC Service Controls, service accounts, least-privilege patterns) Experience with front-end application hosting infrastructure (load balancers, SSL/TLS termination, CDN) Google Cloud Professional certification (Cloud Architect, DevOps Engineer, or similar) Familiarity with containerization technologies, primarily Docker; Kubernetes exposure is a plus but not required WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values Act with Purpose – We believe in rigor through deliberate and thoughtful actions Be Curious – Curiosity is the spark that ignites innovation and growth Take Ownership – True ownership leads to pride and commitment in the work we do Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success Embrace Agility – We celebrate agile thinking, resilience, and adaptability WHAT WE OFFER The target salary range is $110,000 to $130,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location. BENEFITS Medical, Dental and Vision insurance Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered) HSA Spending Accounts 22 Vacation days 10 Paid Holidays and Sick Time (120 hours per year) 401(K) Plan", "summaryDescription" : "Cloud Infrastructure Engineer at RefinedScience. Skills: Cloud Infrastructure, Infrastructure as Code, CI/CD, GCP. Design cloud infrastructure on GCP. 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Our work is bold, our team is passionate, and our technology has to keep pace with both. We're looking for a Director, IT Infrastructure who doesn't just keep the lights on — they build the grid. This is a senior leadership role for someone who thinks in systems, thrives in transformation, and knows how to translate deep technical expertise into organizational impact. You'll own the full IT infrastructure landscape — from hardware and networks to support operations — and you'll shape the long-term technology roadmap for a growing, mission-driven institution. If you're energized by the intersection of strategy and execution, and you want your work to matter beyond the server room, this is your seat at the table. What You'll Do Lead Infrastructure at Scale Drive infrastructure transformation initiatives that position Nightingale to grow efficiently and sustainably. Develop and execute the strategic direction for IT infrastructure — hardware, software, networks, and beyond. Ensure high availability and peak performance of IT systems across the organization. Set the Standard Implement and maintain IT infrastructure policies and procedures aligned with industry best practices and regulatory requirements. Stay ahead of emerging technologies and trends, bringing continuous improvement and innovation to everything you touch. Identify and implement process and policy improvements — and ensure they actually stick. Lead People and Projects Manage IT infrastructure projects end-to-end: conception, implementation, and evaluation. Lead, develop, and support your team across performance, behaviors, and competencies — investing in people as much as platforms. Collaborate cross-functionally to assess and address technology needs across the organization. Participate in hiring decisions, panel interviews, and candidate selection. Own the Budget Develop and manage the functional budget, ensuring resources and assets are deployed effectively within approved parameters. What You Bring Required Bachelor's degree in Computer Science, Information Systems, or a related field from an accredited institution. 10+ years of experience in IT infrastructure and support roles. 5+ years in a leadership or managerial role. 5+ years of hands-on experience in IT infrastructure planning and development. 5+ years working with systems and network architecture, information security principles, and IT best practices. A proven ability to translate complex technical concepts for non-technical stakeholders — clearly and confidently. Bonus Points COBIT and/or ITIL certification or demonstrated working knowledge. Budgeted Hiring Range $154,000—$168,000 USD All new hires are required to attend New Collaborator Orientation (NCO) in Salt Lake City, Utah. The College will cover travel, lodging, and other accommodations. Nightingale’s commitment to diversity and inclusion is reflected both in our learners and collaborators because we believe the best outcomes for learners from underserved and diverse populations are achieved through collaborators with similar backgrounds and cultures. Nightingale Education Group is an equal opportunity employer. Our Mission (not just words on the wall, we live it, love it, and daily contribute to it): With the primary focus on higher learning in healthcare professions, Nightingale Education Group contributes to elevating education, health, and employment systems through facilitation of academic achievement, personal growth, and professional development of its learners, alumni, and collaborators, while serving diverse communities. At Nightingale Education Group, our Innovative Education model helps transform rural health landscapes through our blended-distance learning platform. Every person involved with Nightingale Education Group helps to change the lives of our learners, our communities, and ultimately the world by adding to the quality of healthcare. We are proud to have graduated nearly 5,000 nurses serving communities in need. We are serious about our outcomes and have a little bit of fun getting there. The professional and personal development of our learners and our collaborators is our company’s foundation. Not only do we develop strategies that promote a positive work-life integration, but we also create an environment that invites you to become an expert in your field, be it through higher education or professional development. Put simply, we elevate employment, elevate health, and elevate education. We’re so happy that you’ve found us! Employment is contingent upon successful completion of a background check and drug screen.", "summaryDescription" : "Director, Information Technology Infrastructure at Nightingale Education Group", "postedDate" : "2026-06-15T23:28:14.210", "createdAt" : "2026-06-15T23:28:14.210", "lastUpdated" : "2026-06-16T06:24:20.618", "ingestTimestamp" : "2026-06-15T23:28:14.210", "mongoId" : "6a3066fcf292fd229cfb7e54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 785.50287, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c903b74d8ee00a097fae2", "title" : "Senior Manager, Technology Operations & Infrastructure", "company" : "CGC", "industry" : "Climate Tech", "salary" : { "min" : 151510.0, "max" : 169122.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-15T06:50:22.764", "fingerprint" : "b5d0a1244e41eea8dc5befddf528c2011e53608b70285eb9451514029ac01491", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.cgc.org/job?gh_jid=5236394008", "externalId" : "5236394008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Microsoft 365, Identity/access platforms, Endpoint environments, SaaS business systems, AI, Automation", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Operational support", "Service delivery" ], "hardSkillsList" : [ "Endpoint security", "Patching", "Lifecycle management", "Operational controls" ], "softSkillsList" : [ "Leadership", "Judgment", "Mentoring" ], "hardSkills" : [ { "name" : "Endpoint security", "level" : "intermediate" }, { "name" : "Patching", "level" : "intermediate" }, { "name" : "Lifecycle management", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Mentoring" } ], "majorSkills" : "Technology operations, Infrastructure management, Process improvement, AI evaluation", "majorSkillsList" : [ "Technology operations", "Infrastructure management", "Process improvement", "AI evaluation" ], "coreResponsibilities" : "Identify corrective actions, Implement process improvements, Provide operational support, Supervise junior staff, Mentor future operations resources, Evaluate practical uses of AI, Evaluate automation uses, Evaluate agentic workflows, Resolve issues independently, Escalate risks, Escalate decisions, Perform other duties", "teamCollaboration" : "Cross-functional teamwork; Work across stakeholders", "domainKnowledge" : "Clean energy projects; Water infrastructure; Resilient infrastructure; Financial services; Nonprofit environments; Federally funded environments; Regulated environments", "domainList" : [ "clean-energy-projects", "water-infrastructure", "resilient-infrastructure", "financial-services", "nonprofit-environments", "federally-funded-environments", "regulated-environments" ], "domainSpecificKnowledge" : [ "Clean energy projects", "Water infrastructure", "Resilient infrastructure", "Financial services", "Nonprofit environments", "Federally funded environments", "Regulated environments" ], "toolProficiency" : [ "Microsoft 365", "Intune", "Entra ID", "Box", "Zoom", "Webflow", "Jira", "Confluence" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Bachelor's degree and 7+ years experience, 5+ years IT operations experience, Demonstrated experience administering Microsoft 365, Experience managing IT support operations, Understanding of endpoint security, Proven ability to execute in evolving environments, Demonstrated leadership capability, Written and verbal communication skills", "qualificationsPreferred" : "Supporting technology in financial services, Experience with Jira, Confluence, Intune, Familiarity with website platform administration, Experience building internal IT operations, Familiarity with AI productivity tools", "remoteFriendly" : false, "rawDescription" : "About CGC CGC is a nonprofit investment firm that finances and originates clean energy, water, and resilient infrastructure projects to accelerate clean air, clean water, and affordable energy for communities across America. We collaborate with the public and private sectors to bridge financing gaps and mobilize private capital into projects that deliver measurable economic and environmental impact at scale. Every dollar we invest is structured to multiply, generating durable returns for people, markets, and the environment. Over the past decade, CGC has demonstrated the power of public-private investment by helping catalyze economic accelerators nationwide and mobilizing billions of dollars toward affordable clean energy and resilient infrastructure. Our model fills market gaps, unlocks private capital, and proves that economic growth and environmental progress can advance together. A Career at CGC A career at the CGC is grounded in impact. Our six core values guide how we invest and how we work together. Innovation drives creative solutions and continuous improvement. Mission-Driven Focus keeps long-term impact at the center of every decision. Partnership shapes how we mobilize capital and build trust-based relationships. Accountability defines our stewardship and commitment to results. Collaboration strengthens cross-functional teamwork and shared responsibility. Transparency ensures open communication and integrity in how we operate. Our culture is fast-paced, rigorous, and purpose-driven. If you are motivated by solving complex challenges, building new markets, and delivering measurable impact within a collaborative team, CGC offers a platform to do that work with purpose. Job Summary Under the supervision of the Vice President of Information Technology, the Senior Manager, Technology Operations identify and implement corrective actions and process improvements. Provide operational support for enterprise system and infrastructure implementations, including user readiness, access setup, support procedures, documentation, and post-launch operational stability. Supervise and mentor junior support staff or future operations resources as the team expands. Evaluate and support practical uses of AI, automation, and agentic workflows that improve operational efficiency, service quality, reporting, or internal controls. Operate with a high degree of ownership and judgment, independently resolving issues where appropriate and escalating risks or decisions when needed. Perform other duties as assigned in support of CGC’s mission and operational needs. Qualifications Education & Required Skills Bachelor’s degree and 7+ years of experience, or an equivalent combination of education and directly related experience 5+ years of progressive responsibility in IT operations, infrastructure, end-user computing, or enterprise technology support environments. Demonstrated experience administering Microsoft 365, identity/access platforms, endpoint environments, and modern SaaS business systems. Experience managing IT support operations, vendors, escalations, and service delivery processes. Strong understanding of endpoint security, patching, lifecycle management, and operational controls. Proven ability to execute effectively in growth-stage or evolving environments with shifting priorities, competing demands, and limited oversight. Demonstrated leadership capability, sound judgment, and ability to independently prioritize work. Strong written and verbal communication skills with the ability to work across technical and non-technical stakeholders. Preferred Experience supporting technology within financial services, nonprofit, startup, federally funded, or regulated environments. Experience with Jira, Confluence, Intune, Entra ID, Box, Zoom, Webflow, or comparable enterprise platforms. Familiarity with website platform administration and vendor-led digital environments. Experience building or maturing internal IT operations functions. Familiarity with AI productivity tools, automation platforms, and emerging agentic workflow concepts. Compensation and Benefits The salary range for the Senior Manager position is between $151,510.00 – $169,122.00 annually. Senior Manager will be eligible for an annual bonus based on job and organizational performance. The benefits offered for the Senior Manager include health insurance, 401k, vacation leave and sick leave. CGC is an Equal Opportunity Employer committed to building an inclusive workplace and advancing equitable economic and environmental outcomes nationwide. We consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.", "summaryDescription" : "Senior Manager, Technology Operations & Infrastructure at CGC. Skills: Technology operations, Infrastructure management, Process improvement, AI evaluation. Identify corrective actions. 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Working within cross-functional delivery teams, you’ll apply best-practice automation (IaC, CI/CD, DevSecOps) to migrate, modernize, and optimize workloads on AWS, Azure, and/or Google Cloud that meet rigorous performance, security, and cost-efficiency targets. KEY RESPONSIBILITIES - Implement landing zones, VPC/VNet networking, IAM, and security baselines. - Provision and configure compute, storage, and database services using IaC I - Develop and maintain pipeline automation for app and infrastructure deployments. - Design and package applications with latest containerization and orchestration. - Configure logging, metrics, tracing, and alerting - apply SRE practices. - Produce cost-and-capacity reports with FinOps tooling. - Produce well-structured design documents, diagrams, and hand-over guides. QUALIFICATIONS - 3–6 years experience in cloud solutions on at least one CSP (AWS, Azure, GCP). - Bachelor’s degree in Computer Science, or similar. - Proficiency with Terraform or equivalent IaC tool and a one scripting language. - Working knowledge of container runtime fundamentals. - Experience building CI/CD pipelines and integrating DevSecOps controls - Familiarity with monitoring/observability stacks and incident-management processes. - Strong troubleshooting, documentation, and customer-facing communication skills. - Cloud certifications on at least one CSP (AWS, Azure, GCP). - Experience with serverless services (Lambda, Cloud Functions), event-driven architectures (SNS/SQS, Event Hub, Pub/Sub), and microservice patterns. - Knowledge of compliance frameworks (SOC 2, HIPAA, PCI) and security hardening. - Exposure to data-platform services and AI/ML tooling. WHY YOU'LL LOVE IT HERE - Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth. - True Servant Leadership: Our CTO leads with a \"force multiplier\" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves. - Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems. - A \"Learn-from-it\" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures. We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed. Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.", "summaryDescription" : "Cloud Engineer- Infrastructure. Skills: Cloud Engineering, DevOps, Infrastructure Automation. Design and implement cloud 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. 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Analytical skills", "specialRequirements" : "24/7 setup", "outcomesObjectives" : "Focus on performance; Focus on reliability", "qualificationsBasic" : "5+ years of experience in IT Operations, 5+ years of experience in Software Engineering, Expertise in Linux systems, Proficient in scripting languages, Solid experience with CI/CD tools, Hands-on experience with infrastructure automation, Practical experience with Docker and Kubernetes, Knowledge of cloud platforms, Experience designing scalable infrastructure solutions, Experience automating scalable infrastructure solutions, Fluent in English", "qualificationsPreferred" : "Certified in Red Hat automation, Certified in Kubernetes (CKAD), Familiar with ITIL practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Inetum is a European leader in digital services , supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services This role focuses on Application Support within a banking environment, handling incidents, service requests, and production activities in a 24/7 setup. It involves troubleshooting issues, monitoring systems, and ensuring service quality and availability. The position also includes automating processes using Ansible and Terraform, supporting disaster recovery activities, and collaborating with global teams. Strong technical skills in Linux, PL/SQL, Docker, Kubernetes, and monitoring tools are required, along with experience in L1/L2 support and core banking operations. ## Qualifications * 5+ years of experience in IT Operations and Software Engineering * Strong expertise in Linux systems (CLI, shell scripting) * Proficient in scripting languages (Python and Bash) * Solid experience with CI/CD tools (Jenkins, Travis, Concourse) * Hands-on experience with infrastructure automation (Ansible, Terraform) * Practical experience with Docker and Kubernetes (K8s) * Strong knowledge of cloud platforms (AWS, Azure, IBM Cloud, Google Cloud) * Experience designing and automating scalable infrastructure solutions * Certified in Red Hat automation and Kubernetes (CKAD) * Familiar with ITIL practices * Strong analytical and problem-solving skills * Results-driven with a focus on performance and reliability * Fluent in English", "summaryDescription" : "Cloud Support Infrastructure Expert at Inetum. 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Strong technical skills in Linux, PL/SQL, Docker, Kubernetes, and monitoring tools are required, along with experience in L1/L2 support and core banking operations. ## Qualifications * 5+ years of experience in IT Operations and Software Engineering * Strong expertise in Linux systems (CLI, shell scripting) * Proficient in scripting languages (Python and Bash) * Solid experience with CI/CD tools (Jenkins, Travis, Concourse) * Hands-on experience with infrastructure automation (Ansible, Terraform) * Practical experience with Docker and Kubernetes (K8s) * Strong knowledge of cloud platforms (AWS, Azure, IBM Cloud, Google Cloud) * Experience designing and automating scalable infrastructure solutions * Certified in Red Hat automation and Kubernetes (CKAD) * Familiar with ITIL practices * Strong analytical and problem-solving skills * Results-driven with a focus on performance and reliability * Fluent in English", "summaryDescription" : "Cloud Support Infrastructure Expert at Inetum. 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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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Real-time collaboration", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "Cloud concepts; SaaS integrations; Security principles; Cloud platforms; Enterprise environment", "domainList" : [ "cloud-concepts", "saas-integrations", "security-principles", "cloud-platforms", "enterprise-environment" ], "domainSpecificKnowledge" : [ "Cloud concepts", "SaaS integrations", "Security principles", "Cloud platforms", "Enterprise environment" ], "toolProficiency" : [ "Azure", "AWS", "GCP", "OCI", "PowerShell", "Bash", "Python", "Terraform", "Microsoft Entra ID", "Azure AD", "Okta", "Snowflake" ], "documentationSkills" : "Document support procedures; Document runbooks", "continuousLearning" : "Ability to learn multiple cloud platforms; Tuition reimbursement", "problemSolvingSkills" : "Basic troubleshooting", "specialRequirements" : "On-call rotation, Scheduled on-call flexibility, Remain reasonably reachable", "qualificationsBasic" : "Associate’s degree in IT, 1 year of experience, Basic understanding of cloud concepts, Familiarity with IT service management processes, Foundational understanding of security principles", "qualificationsPreferred" : "Exposure to one or more public cloud providers, Entry-level cloud certification, Exposure to scripting or automation tools, Familiarity with enterprise identity platforms, Exposure to SaaS administration or support", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Perform routine administration tasks across supported cloud platforms including Azure, AWS, GCP, and OCI. Support provisioning, configuration, monitoring, and deprovisioning of cloud resources using established standards. Assist with identity, access, and role-based access administration for cloud and cloud-connected SaaS services. Execute operational procedures for cloud incidents, service requests, change activities, and basic troubleshooting. Support connectivity validation between SaaS platforms and enterprise resources, including private/public network paths, identity providers, and data services. Monitor cloud resources for availability, configuration drift, tagging compliance, and basic cost anomalies. Assist with enforcement of governance standards such as naming conventions, resource tagging, subscription/account organization, and policy application. Document support procedures, recurring issues, standard configurations, and runbooks. Escalate advanced issues related to security, automation, architecture, or platform performance to senior team members. Participate in on-call rotation or operational support processes, as assigned. Schedule & Presence: This on-site role supports 24/7 operations through real-time collaboration, standard shifts occur within a 6:00 AM - 6:00 PM window, Monday through Friday. Additionally, this position requires scheduled on-call flexibility and the ability to remain reasonably reachable during off-hours for critical business continuity. Preferred Qualifications Exposure to one or more public cloud providers: Azure, AWS, GCP, or OCI. Entry-level cloud certification such as Azure Fundamentals, AWS Cloud Practitioner, Google Cloud Digital Leader, or OCI Foundations. Exposure to scripting or automation tools such as PowerShell, Bash, Python, or Terraform. Familiarity with enterprise identity platforms such as Microsoft Entra ID / Azure AD, Okta, or similar IAM solutions. Exposure to SaaS administration or support for platforms such as Snowflake or similar enterprise services. Required Qualifications Associate’s degree in Information Technology, Computer Science, Information Systems, or related field, or equivalent combination of education and relevant experience. Minimum 1 year of experience in IT infrastructure, systems administration, cloud operations, or technical support. Basic understanding of cloud concepts including virtual machines, storage, networking, identity, and SaaS integrations. Familiarity with IT service management processes such as incident, request, and change management. Foundational understanding of security principles including least privilege access, MFA, and secure configuration basics. Ability to learn multiple cloud platforms and tools in a structured enterprise environment. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. 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networking, Track KPIs, Improve KPIs, Ensure infrastructure performance, Promote software development best practices, Collaborate with software teams, Collaborate with hardware teams, Collaborate with AI teams", "teamCollaboration" : "Cross-functional teams; Software teams; Hardware teams; AI teams", "projectManagementSkills" : [ "Production infrastructure projects" ], "domainKnowledge" : "Warehouse automation; Robotic solutions; Supply chain industry; AI-powered solutions; Autonomous systems; Scalable infrastructure; Real-time operation; System monitoring; AI training infrastructure; Web services; Networking; CI/CD systems; On-premise deployments; Data communication; Build/test/deploy automation; Cloud-based infrastructure; User access; Containerized services; Cloud-native integrations; Fleet management; GPU clusters; AI model training; Remote-access networking; Metrics-driven optimization; Service uptime; Deployment cadence; Software development practices; Product lifecycle; Robot fleet orchestration; IoT deployment strategies; 5G hardware; VPN technologies; Network configuration; Cloud-native observability", "domainList" : [ "warehouse-automation", "robotic-solutions", "supply-chain-industry", "ai-powered-solutions", "autonomous-systems", "scalable-infrastructure", "real-time-operation", "system-monitoring", "ai-training-infrastructure", "web-services", "networking", "ci-cd-systems", "on-premise-deployments", "data-communication", "build-test-deploy-automation", "cloud-based-infrastructure", "user-access", "containerized-services", "cloud-native-integrations", "fleet-management", "gpu-clusters", "ai-model-training", "remote-access-networking", "metrics-driven-optimization", "service-uptime", "deployment-cadence", "software-development-practices", "product-lifecycle", "robot-fleet-orchestration", "iot-deployment-strategies", "5g-hardware", "vpn-technologies", "network-configuration", "cloud-native-observability" ], "domainSpecificKnowledge" : [ "Warehouse automation", "Robotic solutions", "Supply chain industry", "AI-powered solutions", "Autonomous systems", "Scalable infrastructure", "Real-time operation", "System monitoring", "AI training infrastructure", "Web services", "Networking", "CI/CD systems", "On-premise deployments", "Data communication", "Build/test/deploy automation", "Cloud-based infrastructure", "User access", "Containerized services", "Cloud-native integrations", "Fleet management", "GPU clusters", "AI model training", "Remote-access networking", "Metrics-driven optimization", "Service uptime", "Deployment cadence", "Software development practices", "Product lifecycle", "Robot fleet orchestration", "IoT deployment strategies", "5G hardware", "VPN technologies", "Network configuration", "Cloud-native observability" ], "toolProficiency" : [ "AWS", "Terraform", "Docker", "Docker Compose", "Prometheus", "Grafana", "ELK" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Improve build speed; Improve service uptime; Improve deployment cadence", "qualificationsBasic" : "5+ years of hands-on experience with AWS, 5+ years of hands-on experience with Linux, 5+ years of hands-on experience with Terraform, 5+ years of hands-on experience with Python, Prior ownership or leadership of production infrastructure projects, Solid knowledge of AWS services, Proficient with Docker, Proficient with Docker Compose, Proficient with Terraform, Experience with messaging and communication protocols, Deep knowledge of scalable data stores, Deep knowledge of data retention policies, Passion for CI/CD workflows, Passion for automated testing pipelines, Minimum B.S. in Computer Science, Minimum B.S. in Engineering, Minimum B.S. in related field, Equivalent industry experience", "qualificationsPreferred" : "Experience managing GPU clusters, Experience managing distributed compute environments, Exposure to robot fleet orchestration, Exposure to IoT deployment strategies, Familiarity with 5G hardware, Familiarity with VPN technologies, Familiarity with network configuration, Familiarity with cloud-native observability stacks", "workSiteFlexibility" : "Onsite", "rawDescription" : "JOIN CONTORO ROBOTICS – REVOLUTIONIZING WAREHOUSE AUTOMATION WITH CUTTING-EDGE ROBOTICS At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation. We’re looking for talented and ambitious individuals to join us on this journey—helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you! Job Description Title: Senior DevOps Engineer Intro Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with AI-powered robotic solutions tackling real industrial challenges. Our mission is to deploy scalable, human-in-the-loop autonomous systems that reliably perform in the field. As our fleet of unloading robots expands, we're looking for a talented DevOps Engineer to help scale and harden our Cloud Platform infrastructure. This role is critical to enabling real-time robot operation, system monitoring, and on-demand AI training infrastructure. You’ll own key components of our web services, networking, and CI/CD systems. Job Responsibility - Cloud Platform Infrastructure - Lead and maintain three foundational pillars of our infrastructure: - Web Services: AWS-hosted and on-premise deployments - Fleet Network: Secure, scalable data communication with the robots - CI/CD Pipelines: Fast and reliable build/test/deploy automation - System Migration & Deployment - Lead the migration of key services to cloud-based infrastructure (AWS) - Design and maintain secure user access, containerized services, and cloud-native integrations - Fleet & GPU Resource Management - Optimize uptime and performance of GPU clusters for real-time and batch AI model training - Build and scale secure remote-access networking for robot fleet management - Metrics-Driven Optimization - Track and improve KPIs around build speed, service uptime, and deployment cadence - Ensure infrastructure performance stays within defined budget constraints - Best Practices & Collaboration - Promote software development best practices, including automation, versioning, and test coverage - Collaborate closely with software, hardware, and AI teams to integrate infrastructure into the product lifecycle Qualification/Requirements Please do not apply if you do not have direct experience designing and building AWS-driven infrastructure from scratch. It is not sufficient to have maintained existing systems. - Experience - 5+ years of hands-on experience with AWS, Linux, Terraform, and Python - Prior ownership or leadership of production infrastructure projects - Technical Expertise - Solid knowledge of AWS services (IAM, S3, EC2, ECR, VPC, etc.) - Proficient with Docker, Docker Compose, and Terraform - Experience with messaging and communication protocols (e.g., Kafka, MQTT, WebSockets) - Deep knowledge of scalable data stores (SQL, Redis, Timeseries, etc) and retention policies - Passion for CI/CD workflows and automated testing pipelines - Soft Skills - Strong sense of ownership, urgency, and curiosity - Excellent communication skills—both verbal and written - Ability to work collaboratively across cross-functional teams - Education - Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience) - Work Location - Willingness to work on-site at our Austin, TX headquarters Preferred/Plus - Experience managing GPU clusters or distributed compute environments - Exposure to robot fleet orchestration or IoT deployment strategies - Familiarity with 5G hardware, VPN technologies, and network configuration - Familiarity with cloud-native observability stacks (e.g., Prometheus, Grafana, ELK)", "summaryDescription" : "Sr. DevOps Engineer, Cloud Platform at Contoro Robotics. Skills: Cloud Platform, AWS infrastructure, CI/CD pipelines, Robot fleet management. Lead and maintain infrastructure. Lead web services deployment", "createdAt" : "2026-06-16T00:31:54.248", "lastUpdated" : "2026-06-16T13:10:37.311", "ingestTimestamp" : "2026-06-16T00:31:54.248", "mongoId" : "6a306595f292fd229cfa9841", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud infrastructure", "Web services", "Networking", "CI/CD", "Containerization", "Cloud-native integrations", "GPU clusters", "AI model training", "Remote access networking", "Build speed", "Service uptime", "Deployment cadence", "Urgency", "Cloud Platform", "AWS infrastructure", "CI/CD pipelines", "Robot fleet management", "System design", "Infrastructure migration", "Resource management", "Performance optimization", "Budget management", "Automation", "Versioning", "Test coverage", "Production infrastructure projects", "Warehouse automation", "Robotic solutions", "Supply chain industry", "AI-powered solutions", "Autonomous systems", "Scalable infrastructure", "Real-time operation", "System monitoring", "AI training infrastructure", "CI/CD systems", "On-premise deployments", "Data communication", "Build/test/deploy automation", "Cloud-based infrastructure", "User access", "Containerized services", "Fleet management", "Remote-access networking", "Metrics-driven optimization", "Software development practices", "Product lifecycle", "Robot fleet orchestration", "IoT deployment strategies", "5G hardware", "VPN technologies", "Network configuration", "Cloud-native observability", "AWS", "Terraform", "Docker", "Docker Compose", "Prometheus", "Grafana", "ELK" ], "skillCount" : 60, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 709.8396, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c6d74d8ee00a0918b14", "title" : "Cloud & AI Infrastructure Engineer", "company" : "Hanwha Energy USA", "industry" : "Climate Tech", "salary" : { "min" : 160000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-15T09:57:32.911", "fingerprint" : "a46389f9d87d79b120ba4331d080263c2eb7c2a2ab122019148af6e531b1be0f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hanwhaenergyusa/jobs/4224591009", "externalId" : "4224591009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Azure, AI, Terraform, Bicep, ARM templates, CI/CD, Logging, Telemetry, Monitoring, Observability, Identity and access, Networking, Security, Tagging, Azure OpenAI", "professionalSkills" : [ "Platform engineering", "DevOps", "Infrastructure engineering", "Cloud architecture", "Cost optimization", "Chargeback visibility", "Operational standards", "Architecture discussions", "Reliability engineering", "Cross-functional collaboration" ], "hardSkillsList" : [ "Infrastructure provisioning", "Pipeline engineering", "Cloud cost reporting", "Backup and resiliency", "Recovery and alerting", "Support readiness" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Pipeline engineering", "level" : "intermediate" }, { "name" : "Cloud cost reporting", "level" : "intermediate" }, { "name" : "Backup and resiliency", "level" : "intermediate" }, { "name" : "Recovery and alerting", "level" : "intermediate" }, { "name" : "Support readiness", "level" : "intermediate" } ], "majorSkills" : "Azure infrastructure, AI platform, Infrastructure-as-code, CI/CD pipelines", "majorSkillsList" : [ "Azure infrastructure", "AI platform", "Infrastructure-as-code", "CI/CD pipelines" ], "coreResponsibilities" : "Design and provision Azure and AI resources, Establish and enforce standards, Build and maintain CI/CD pipelines, Implement and support logging, telemetry, monitoring, and observability, Partner with Application Development and Data Management, Manage Azure and AI platform environments, Monitor and optimize Azure and Azure OpenAI usage, Partner with Finance and IT leadership, Support identity, access, secrets, and security practices, Help define and maintain operational standards, Troubleshoot deployment, performance, connectivity, and infrastructure issues, Contribute to architecture discussions, Document cloud patterns, standards, deployment approaches, and support, Evaluate and introduce appropriate tools and patterns", "teamCollaboration" : "Application Development; Data Management; Software developers; Data engineers; Technical leadership; Finance and IT leadership", "domainKnowledge" : "AI agents; Copilots; Automations; Enterprise data workloads; AI-enabled solutions; Hyperscaler solutions; Data center development", "domainList" : [ "ai-agents", "copilots", "automations", "enterprise-data-workloads", "ai-enabled-solutions", "hyperscaler-solutions", "data-center-development" ], "domainSpecificKnowledge" : [ "AI agents", "Copilots", "Automations", "Enterprise data workloads", "AI-enabled solutions", "Hyperscaler solutions", "Data center development" ], "toolProficiency" : [ "Terraform", "Bicep", "ARM templates" ], "documentationSkills" : "Document cloud patterns; Document standards; Document deployment approaches; Document support procedures", "problemSolvingSkills" : "Troubleshooting; Problem-solving", "outcomesObjectives" : "Azure environments are provisioned consistently; AI-enabled applications and agents are deployed; Logging, observability, and alerting are enough; Azure and Azure OpenAI usage is monitored and optimized; Cloud standards are followed consistently; Application Development and Data Management teams can move faster; IT leadership and Finance have clearer visibility", "qualificationsBasic" : "Bachelor's degree in Information Systems, 4+ years of experience in cloud engineering, Hands-on experience with Microsoft Azure services, Experience with infrastructure-as-code, Experience building and maintaining CI/CD pipelines, Experience implementing monitoring, logging, alerting, and observability, Experience supporting production applications and cloud platforms, Troubleshooting and problem-solving skills, Ability to work effectively with software developers", "qualificationsPreferred" : "Experience supporting AI or machine learning workloads in Azure, Familiarity with Azure OpenAI, Experience with containerization, orchestration, or modern hosting models, Experience with FinOps, cloud cost optimization, Experience with secrets management, Familiarity with observability and telemetry practices", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads. This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable. This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability. Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance. Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations. Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads. Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner. Manage Azure and AI platform environments across development, testing, and production. Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency. Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities. Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads. Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness. Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services. Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls. Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way. Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management. REQUIRED QUALIFICATIONS Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered. 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering. Strong hands-on experience with Microsoft Azure services and cloud architecture. Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools. Experience building and maintaining CI/CD pipelines for application and platform deployment. Experience implementing monitoring, logging, alerting, and observability for production systems. Understanding of identity, access control, security, and networking concepts in cloud environments. Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence. Strong troubleshooting and problem-solving skills. Ability to work effectively with software developers, data engineers, and technical leadership. Preferred Qualifications Experience supporting AI or machine learning workloads in Azure. Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications. Experience with containerization, orchestration, or modern hosting models. Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting. Experience with secrets management, policy enforcement, and secure deployment patterns. Experience in environments with custom internal applications, integrations, and growing cloud platforms. Familiarity with observability and telemetry practices for distributed systems and AI applications. Key Skills Azure architecture and provisioning Infrastructure-as-code CI/CD pipeline engineering Logging and observability Monitoring and alerting Identity and access controls Cloud networking and security Azure OpenAI platform support Cloud cost optimization Production support and reliability engineering Cross-functional technical collaboration What Success Looks Like In this role, success means: Azure environments are provisioned consistently and governed effectively AI-enabled applications and agents are deployed through repeatable and reliable pipelines Logging, observability, and alerting are strong enough to support production operations Azure and Azure OpenAI usage is monitored and optimized for both performance and cost Cloud standards for identity, networking, security, and tagging are followed consistently Application Development and Data Management teams can move faster because the platform foundation is stable and well run IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities COMPENSATION: $160,000 - $190,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. www.hanwhaenergyusa.com", "summaryDescription" : "Cloud & AI Infrastructure Engineer at Hanwha Energy USA. Skills: Azure infrastructure, AI platform, Infrastructure-as-code, CI/CD pipelines. Design and provision Azure and AI resources. Establish and enforce standards", "postedDate" : "2026-06-14T08:01:15.814", "createdAt" : "2026-06-14T08:01:15.814", "lastUpdated" : "2026-06-15T09:57:32.911", "ingestTimestamp" : "2026-06-14T08:01:15.814", "mongoId" : "6a2c6c6d74d8ee00a0918b14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Infrastructure provisioning", "Pipeline engineering", "Cloud cost reporting", "Backup and resiliency", "Recovery and alerting", "Support readiness", "Azure infrastructure", "AI platform", "Infrastructure-as-code", "CI/CD pipelines", "Platform engineering", "DevOps", "Infrastructure engineering", "Cloud architecture", "Cost optimization", "Chargeback visibility", "Operational standards", "Architecture discussions", "Reliability engineering", "Cross-functional collaboration", "AI agents", "Copilots", "Automations", "Enterprise data workloads", "AI-enabled solutions", "Hyperscaler solutions", "Data center development", "Terraform", "Bicep", "ARM templates" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 706.6928, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f8af292fd229c05a7f6", "title" : "Software Engineer III, Search Platforms Infrastructure", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-level Software Engineer III in Mountain View, CA, adjusted for the technology industry and a large company size." }, "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], 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"salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 702.306, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0a974d8ee00a09daa86", "title" : "Senior Cloud Infrastructure Engineer", "company" : "Skylo", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 154000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, CA", "locations" : [ "Mountain View, CA" ], "timestamp" : "2026-06-15T09:10:14.471", "fingerprint" : "71e1d3bf0800e4d5d6fda1997c58424f993ab093d892be9841016905c1d49597", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skylo/b68e30b5-468e-44fe-9d8d-79f5b411c967/application", "externalId" : "b68e30b5-468e-44fe-9d8d-79f5b411c967", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GCP, Python, Bash, Terraform, Ansible, Kubernetes, Docker", "professionalSkills" : [ "System design", "Infrastructure management", "Automation development" ], "hardSkillsList" : [ "Cloud infrastructure", "Networking concepts", "Virtualization", "Containerization", "Scripting", "Infrastructure provisioning", "Security best practices", "Compliance adherence" ], "hardSkills" : [ { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Networking concepts", "level" : "intermediate" }, { "name" : "Virtualization", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" }, { "name" : "Compliance adherence", "level" : "intermediate" } ], "majorSkills" : "Cloud infrastructure, Infrastructure as Code, Hybrid cloud", "majorSkillsList" : [ "Cloud infrastructure", "Infrastructure as Code", "Hybrid cloud" ], "coreResponsibilities" : "Design hybrid cloud infrastructure, Implement hybrid cloud infrastructure, Manage hybrid cloud infrastructure, Integrate cloud with on-premise, Deploy infrastructure components, Establish secure VPN/tunneling, Develop automation tools, Maintain automation tools, Provision infrastructure, Manage infrastructure, Collaborate with cross-functional teams, Integrate cloud and on-premise solutions, Monitor cloud infrastructure performance, Identify infrastructure issues, Resolve infrastructure issues, Optimize infrastructure reliability, Ensure security best practices, Ensure compliance, Implement security policies, Contribute to cloud architecture improvement, Contribute to cloud operations improvement, Refine IaC modules, Participate in on-call rotations, Support critical infrastructure", "teamCollaboration" : "Cross-functional teams; RAN teams; Core teams; Cloud applications teams", "domainKnowledge" : "Cloud-native platform; Satellite connectivity; Telecommunications networks; 3GPP standards; Non-Terrestrial Network; vRAN; IoT connectivity; Automotive connectivity; Industrial IoT", "domainList" : [ "cloud-native-platform", "satellite-connectivity", "telecommunications-networks", "3gpp-standards", "non-terrestrial-network", "vran", "iot-connectivity", "automotive-connectivity", "industrial-iot" ], "domainSpecificKnowledge" : [ "Cloud-native platform", "Satellite connectivity", "Telecommunications networks", "3GPP standards", "Non-Terrestrial Network", "vRAN", "IoT connectivity", "Automotive connectivity", "Industrial IoT" ], "toolProficiency" : [ "Terraform", "Ansible", "Prometheus", "Grafana", "ELK stack", "Kubernetes", "Docker" ], "continuousLearning" : "Education reimbursement", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "On-call rotation", "qualificationsBasic" : "Bachelor's degree in Computer Science, Proven experience designing cloud infrastructure, Understanding of networking concepts, Proficiency in scripting languages, Proficiency in infrastructure-as-code tools, Experience with monitoring and logging tools, Familiarity with CI/CD pipelines, Familiarity with DevOps methodologies", "qualificationsPreferred" : "Master's degree preferred, Knowledge of telecommunications networks, Knowledge of satellite communication", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The world still has coverage blind spots. You could help eliminate them at Skylo. Skylo has pioneered a standards-based approach to satellite connectivity. We connect smartphones and IoT devices directly to satellites. No special hardware, no entirely new networks. Just billions of existing devices, suddenly reachable anywhere on Earth. We're not building toward this future. We're already in it. Our direct-to-device service is live on millions of activated devices across five continents, covering more than 72 million square kilometers, in partnership with leading satellite operators, mobile network operators, Tier-1 chipset makers, and OEMs worldwide. And we're just getting started. At the heart of it all is Skylo's commercial NTN vRAN: a 3GPP standards-based, cloud-native platform that seamlessly bridges terrestrial and satellite networks. It's the infrastructure that makes true anywhere, anytime connectivity possible. When you join Skylo, you'll work at the intersection of three markets reshaping how the world stays connected: mass-market consumer devices, automotive, and industrial IoT. Enabling people outdoors and critical workflows in the world's most remote places. This is a rare chance to work on technology that matters, at a company that's already proving it works About Skylo Skylo is a global Non-Terrestrial Network service provider based in Mountain View, CA, offering a service that allows smartphone and IoT cellular devices to connect directly over existing satellites. Skylo’s direct-to-device service is now live on millions of activated devices across five continents, with more than 60 million square kilometers of coverage, in partnership with multiple satellite operators, mobile network operators (MNOs), Tier-1 chipset makers, and OEMs. Devices connected over satellite are managed and served by Skylo's commercial NTN vRAN, featuring a 3GPP standards-based cloud-native base station and core. Skylo provides anywhere, anytime connectivity solution that seamlessly roams between terrestrial and satellite networks. Our focus is on enabling connected services for people outdoors and connected workflows across three main verticals: mass-market consumer devices, automotive, and industrial IoT. This role is located Mountain View, CA where we are onsite 3 days a week in office. Summary Of How You Will Impact Skylo Skylo is hiring a Cloud Infrastructure Engineer to design, implement, and manage our hybrid cloud infrastructure. This role is responsible for ensuring seamless connectivity between cloud and on-premise systems, leveraging Infrastructure as Code (IaC) to automate and optimize our platform. You will be a key contributor to building a resilient and efficient platform that is transforming global connectivity. How You Will Contribute - Design, implement, and manage scalable and secure hybrid cloud infrastructure, integrating seamlessly with on-premise infrastructure. - Deploy infrastructure-specific components and establish secure VPN/tunneling for seamless on-premise to cloud connectivity. - Develop and maintain automation tools for infrastructure provisioning and management across cloud and on-premise, leveraging IaC principles. - Collaborate with cross-functional teams (RAN, Core, Cloud applications) for seamless integration of cloud and on-premise solutions. - Monitor cloud infrastructure performance, identify/resolve issues, and optimize for consistent reliability across hybrid deployments. - Ensure adherence to security best practices and compliance across hybrid environments, implementing security policies through IaC. - Contribute to continuous improvement of cloud architecture and operations, focusing on hybrid cloud and refining IaC modules. - Participate in on-call rotations for critical infrastructure support, covering both cloud and on-premise systems What We Look For - Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's degree preferred. - Proven experience in designing, deploying, and managing cloud infrastructure (e.g., AWS, GCP), and integrating it with on-premise data centers or private clouds. - Strong understanding of networking concepts, including VPC (Virtual Private Cloud) and cloud networking, virtualization, and containerization technologies (e.g., Kubernetes, Docker). - Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible), for managing both cloud and on-premise resources. - Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack), for unified visibility across hybrid environments. - Familiarity with CI/CD pipelines and DevOps methodologies, applied to hybrid cloud deployments. - Knowledge of telecommunications networks and satellite communication is a plus. - Excellent problem-solving skills and the ability to work independently and as part of a team, with a focus on building scalable and resilient cloud solutions using technologies like Kubernetes. - Strong communication and interpersonal skills - Every role at Skylo uses AI tools daily to amplify output. We expect active habits using AI tools and a track record of folding new ones into your workflow quickly What We Offer With employees working across three continents, Skylo is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. Our worldwide and inclusive culture encourages a flexible approach to work, and we also offer an attractive range benefits such as: - Competitive compensation packages including a stock option based equity program - Comprehensive benefits including medical, dental, vision, retirement plan - Monthly allowances for wellness and education reimbursement - A generous time off policy, holidays, and the opportunity to temporarily work abroad - Once in a lifetime opportunity to be a part of developing and running world’s first commercial, live direct-to-device satellite network and service - Access to world-class team and talent across tech domains: software, hardware, chipsets, telecom, satellite and network virtualization - Open, transparent, inclusive culture that blends the Silicon Valley, Nordic and South Asia characteristics Additional information The compensation range for this position is: $145,000 - $154,000 plus equity. This range reflects the low and high end of the range Skylo reasonably and generally expects to pay the hired candidate in this role. EEO Statement Skylo is an equal-opportunity employer and we celebrate diversity. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, parent or caregiver status, political affiliation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please let us know if you need assistance or accommodation due to a disability. ", "summaryDescription" : "Senior Cloud Infrastructure Engineer at Skylo. Skills: Cloud infrastructure, Infrastructure as Code, Hybrid cloud. Design hybrid cloud infrastructure. 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Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management. Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform. What We Need NetBrain is looking for a SaaS Architect to own the end-to-end technical architecture of our next-generation SaaS platform on AWS. This is a senior, hands-on leadership role at the intersection of infrastructure, platform engineering, and product strategy — ideal for someone who has successfully taken a product from on-premises or private cloud to public SaaS and wants to do it again at scale. The Impact You'll Make As SaaS Architect, you will set the foundational technical direction for NetBrain’s cloud platform. Your architecture decisions will determine how the product scales, how securely it handles enterprise customer data, and how efficiently engineering teams across the organization can build on top of a shared, well-governed infrastructure. You will work directly with engineering leadership and product management, mentor senior engineers, and produce the standards, ADRs, and documentation that give teams clarity and autonomy. What You'll Do Define the reference architecture for NetBrain’s SaaS platform on AWS, covering compute, networking, data, messaging, and observability layers. Lead the multi-tenancy design strategy, including data isolation, tenant routing, and compliance boundaries. Own the Infrastructure-as-Code strategy using Terraform and AWS CloudFormation, establishing reusable modules and IaC governance across engineering teams. Design the container and Kubernetes orchestration platform: cluster topology, workload scheduling, autoscaling, and namespace conventions. Architect the event-driven messaging layer using RabbitMQ (preferred) or Kafka, including schema governance, dead-letter handling, and consumer patterns. Define the polyglot persistence strategy across relational databases and MongoDB, including data modeling standards and backup/recovery procedures. Establish the observability stack (metrics, tracing, logging, alerting) and SLI/SLO frameworks aligned to enterprise customer expectations. Embed security into the platform architecture: encryption, IAM, secrets management, network segmentation, and a path to SOC 2 Type II. Produce architecture decision records (ADRs) and documentation that guide engineering teams and inform product leadership. What You Bring 8–12+ years in software or infrastructure engineering, with 4+ years in an architecture role for a SaaS product. Deep, hands-on AWS experience across compute, networking, storage, and managed services — not just familiarity. Proven track record of architecting multi-tenant SaaS platforms, ideally transitioning a product from on-premises or private cloud to public SaaS. Strong command of cloud-native design patterns: event-driven architecture, microservices decomposition, twelve-factor applications, and API-first design. Experience leading architecture across multiple engineering teams — setting direction without owning every implementation. Ability to produce documentation that engineers can build from and executives can reason about; comfortable presenting tradeoffs to non-technical stakeholders. Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer. Stationary Tasks: Sitting for extended periods, remaining in a stationary position. What We Offer Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company. For this role, the estimated base is CAD$150,000 - CAD$180,000 + potential Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process. The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy. NetBrain invites all interested and qualified candidates to apply for employment opportunities. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law. If you have a disability that prevents or limits your ability to use or access the site, or if you require any other accommodation in the application process due to a disability, you may request a reasonable accommodation. To make a request, please contact our People Team at: people@netbraintech.com and we will be happy to assist you. In compliance with applicable laws, NetBrain conducts holistic, individual background reviews in support of all hiring decisions. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management. Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform. What We Need NetBrain is looking for a SaaS Architect to own the end-to-end technical architecture of our next-generation SaaS platform on AWS. This is a senior, hands-on leadership role at the intersection of infrastructure, platform engineering, and product strategy — ideal for someone who has successfully taken a product from on-premises or private cloud to public SaaS and wants to do it again at scale. The Impact You'll Make As SaaS Architect, you will set the foundational technical direction for NetBrain’s cloud platform. Your architecture decisions will determine how the product scales, how securely it handles enterprise customer data, and how efficiently engineering teams across the organization can build on top of a shared, well-governed infrastructure. You will work directly with engineering leadership and product management, mentor senior engineers, and produce the standards, ADRs, and documentation that give teams clarity and autonomy. What You'll Do Define the reference architecture for NetBrain’s SaaS platform on AWS, covering compute, networking, data, messaging, and observability layers. Lead the multi-tenancy design strategy, including data isolation, tenant routing, and compliance boundaries. Own the Infrastructure-as-Code strategy using Terraform and AWS CloudFormation, establishing reusable modules and IaC governance across engineering teams. Design the container and Kubernetes orchestration platform: cluster topology, workload scheduling, autoscaling, and namespace conventions. Architect the event-driven messaging layer using RabbitMQ (preferred) or Kafka, including schema governance, dead-letter handling, and consumer patterns. Define the polyglot persistence strategy across relational databases and MongoDB, including data modeling standards and backup/recovery procedures. Establish the observability stack (metrics, tracing, logging, alerting) and SLI/SLO frameworks aligned to enterprise customer expectations. Embed security into the platform architecture: encryption, IAM, secrets management, network segmentation, and a path to SOC 2 Type II. Produce architecture decision records (ADRs) and documentation that guide engineering teams and inform product leadership. What You Bring 8–12+ years in software or infrastructure engineering, with 4+ years in an architecture role for a SaaS product. Deep, hands-on AWS experience across compute, networking, storage, and managed services — not just familiarity. Proven track record of architecting multi-tenant SaaS platforms, ideally transitioning a product from on-premises or private cloud to public SaaS. Strong command of cloud-native design patterns: event-driven architecture, microservices decomposition, twelve-factor applications, and API-first design. Experience leading architecture across multiple engineering teams — setting direction without owning every implementation. Ability to produce documentation that engineers can build from and executives can reason about; comfortable presenting tradeoffs to non-technical stakeholders. Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer. Stationary Tasks: Sitting for extended periods, remaining in a stationary position. What We Offer Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company. For this role, the estimated base is $170,000 - $200,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process. The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to 401k and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy. NetBrain invites all interested and qualified candidates to apply for employment opportunities. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law. If you have a disability that prevents or limits your ability to use or access the site, or if you require any other accommodation in the application process due to a disability, you may request a reasonable accommodation. 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Cloud environments; Networking principles; Security best practices", "domainList" : [ "ai-powered-platform", "cloud-environments", "networking-principles", "security-best-practices" ], "domainSpecificKnowledge" : [ "AI-powered platform", "Cloud environments", "Networking principles", "Security best practices" ], "toolProficiency" : [ "Terraform", "Kubernetes", "Docker", "Prometheus", "Grafana", "ELK stack" ], "documentationSkills" : "Documentation of infrastructure", "innovationCreativity" : "Building something new; Push into uncharted territory", "problemSolvingSkills" : "Troubleshoot and resolve issues", "specialRequirements" : "On-call rotation", "qualificationsBasic" : "Bachelor's degree in Computer Science, 3+ years of experience, Experience with Docker, Experience with Kubernetes, Experience with Terraform, Solid understanding of cloud platforms, Experience with monitoring and logging tools, Understanding of networking principles, Understanding of security best practices, Experience with CI/CD pipelines, Experience with automation frameworks", "qualificationsPreferred" : "Experience building AI/ML infrastructure, Experience scaling AI/ML infrastructure", "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are seeking a talented and motivated Infrastructure Engineer to join our core Platform Team in Austin, Texas. As a key member of the team, you’ll be responsible for designing, building, and maintaining the infrastructure that powers the FutureSecure.ai platform. You’ll work closely with engineers across the company to ensure our platform is performant, scalable, and secure, enabling us to deliver innovative AI-powered experiences. Responsibilities Design, build, and maintain highly scalable and reliable infrastructure for our AI-powered platform Develop and deploy infrastructure as code using tools like Terraform and Kubernetes Automate infrastructure provisioning and configuration management Monitor system performance, identify bottlenecks, and implement solutions to improve efficiency and scalability Contribute to the development of our CI/CD pipelines and automation frameworks Collaborate with security engineers to implement and maintain security best practices throughout the infrastructure Participate in on-call rotation to ensure the availability and reliability of the platform Troubleshoot and resolve infrastructure-related issues in a timely and effective manner Contribute to the documentation of infrastructure components and processes Proactively identify and address potential infrastructure risks Experience working with various cloud environments, including AWS, Azure, and Google Cloud Platform (GCP) Minimum Qualifications Bachelor’s degree in Computer Science or a related field, or equivalent practical experience 3+ years of experience in infrastructure engineering or DevOps Experience with containerization technologies like Docker and Kubernetes Experience with infrastructure as code tools like Terraform Solid understanding of cloud platforms (AWS, Google Cloud, or Azure) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Strong understanding of networking principles and security best practices Experience with CI/CD pipelines and automation frameworks Excellent problem-solving and communication skills Preferred Qualifications Experience building and scaling AI/ML infrastructure. Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Platform Infrastructure Engineer- DevOps at Future Secure AI. Skills: Infrastructure as Code, Cloud Platforms, CI/CD, DevOps. Design infrastructure. Build infrastructure", "postedDate" : "2026-06-14T08:52:17.637", "createdAt" : "2026-06-14T08:52:17.637", "lastUpdated" : "2026-06-15T08:48:12.882", "ingestTimestamp" : "2026-06-14T08:52:17.637", "mongoId" : "6a2c6ac774d8ee00a090de13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Infrastructure provisioning", "Configuration management", "System performance monitoring", "CI/CD pipeline development", "Infrastructure troubleshooting", "Infrastructure documentation", "Infrastructure as Code", "Cloud Platforms", "CI/CD", "DevOps", "Infrastructure engineering", "AI-powered platform", "Cloud environments", "Networking principles", "Security best practices", "Terraform", "Kubernetes", "Docker", "Prometheus", "Grafana", "ELK stack" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 683.7686, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c909539bc74574cbb08c5d", "title" : "Associate Director, IIX Technology Platforms", "company" : "IIX Global", "industry" : "Technology", "salary" : { "min" : 1.0E9, "max" : 1.5E9, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, IIX Technology Platforms in Jakarta, Indonesia, adjusted for director seniority and the finance industry." }, "location" : "Jakarta, ID", "locations" : [ "Jakarta", "ID" ], "timestamp" : "2026-06-16T00:14:09.289", "fingerprint" : "2038528761250dcf1cca8214c553c0b1e23372d45f03882bf6e07838cb679d35", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://iix-global.breezy.hr/p/4e92b5ad6924-associate-director-iix-technology-platforms-indonesia", "externalId" : "4e92b5ad6924", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jakarta", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "-6.1754049,106.8271680" } ], "locationText" : "Jakarta, Indonesia", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "About Impact Investment Exchange (IIX) Impact Investment Exchange (IIX) is a pioneer in impact investing, dedicated to reshaping finance for sustainable development. Over the past 17 years, IIX has built the sustainable investing market through: • Capital Mobilization – Including the Women’s Liveli", "summaryDescription" : "Associate Director, IIX Technology Platforms at IIX Global", "createdAt" : "2026-06-14T18:36:51.186", "lastUpdated" : "2026-06-16T00:14:09.289", "ingestTimestamp" : "2026-06-14T18:36:51.186", "mongoId" : "69c909539bc74574cbb08c5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 683.5497, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance", "llmIndustryConfidence" : 0.92 }, { "id" : "6a304f10f292fd229cee4dcb", "title" : "Technology Product Owner – Infrastructure Security & Modernization", "company" : "VTekis Consulting LLP", "industry" : "Hospital And Health Care", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Technology Product Owner in Chandler, United States, adjusted for the technology industry." }, "location" : "Chandler, AZ, United States", "locations" : [ "Chandler", "AZ", "United States" ], "certifications" : [ "CISM", "CISSP", "SAFe Product Owner/Product Manager (PO/PM)", "ITIL Certification" ], "timestamp" : "2026-06-16T05:52:21.243", "fingerprint" : "bb81d2a0492e2448c68a72c5f1c80d763a523f3ab0c81c2f205713f835d3c3bb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/VTekisConsultingLLP/744000132111521-technology-product-owner-infrastructure-security-modernization", "externalId" : "744000132111521", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chandler", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.3062031,-111.8411850" } ], "locationText" : "Chandler, Arizona, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Oracle, Microsoft SQL Server, PostgreSQL, Active Directory, Azure Active Directory, Entra ID, IBM WebSphere, Oracle WebLogic, Apache Tomcat, Apache Kafka, IBM MQ, RabbitMQ, Qualys, Tenable, Python, PowerShell", "professionalSkills" : [ "Risk Management", "Lifecycle Management", "Modernization efforts", "Vulnerability Management", "Risk Assessment", "Prioritization", "Stakeholder Management", "Organizational skills" ], "hardSkillsList" : [ "CVE Analysis", "Remediation Prioritization" ], "hardSkills" : [ { "name" : "CVE Analysis", "level" : "intermediate" }, { "name" : "Remediation Prioritization", "level" : "intermediate" } ], "majorSkills" : "Infrastructure Security, Modernization, Product Ownership, Vulnerability Management", "majorSkillsList" : [ "Infrastructure Security", "Modernization", "Product Ownership", "Vulnerability Management" ], "coreResponsibilities" : "Manage End-of-Support (EOS) and End-of-Life (EOL) technology risks, Plan platform upgrades, Coordinate platform upgrades, Plan migrations, Coordinate migrations, Plan modernization efforts, Coordinate modernization efforts, Plan technology decommissioning, Coordinate technology decommissioning, Manage infrastructure risk, Perform vulnerability management, Analyze CVEs, Remediate vulnerabilities, Prioritize remediation, Manage enterprise infrastructure platforms, Conduct risk assessments, Prioritize risks", "teamCollaboration" : "Cross-functional technology initiatives", "projectManagementSkills" : [ "Agile Methodologies" ], "domainKnowledge" : "Infrastructure Domain; Database Platforms; Identity and Access Management; Middleware Platforms; Messaging Platforms; AI Compute Infrastructure; Vulnerability Management; Common Vulnerabilities and Exposures; Risk Scoring Methodologies; Technology Lifecycle Management; End-of-Support technology; End-of-Life technology; Cloud Platforms; Enterprise Environments", "domainList" : [ "infrastructure-domain", "database-platforms", "identity-and-access-management", "middleware-platforms", "messaging-platforms", "ai-compute-infrastructure", "vulnerability-management", "common-vulnerabilities-and-exposures", "risk-scoring-methodologies", "technology-lifecycle-management", "end-of-support-technology", "end-of-life-technology", "cloud-platforms", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Infrastructure Domain", "Database Platforms", "Identity and Access Management", "Middleware Platforms", "Messaging Platforms", "AI Compute Infrastructure", "Vulnerability Management", "Common Vulnerabilities and Exposures", "Risk Scoring Methodologies", "Technology Lifecycle Management", "End-of-Support technology", "End-of-Life technology", "Cloud Platforms", "Enterprise Environments" ], "toolProficiency" : [ "Qualys", "Tenable" ], "specialRequirements" : "Minimum three (3) days onsite per week", "qualificationsBasic" : "Infrastructure Domain Expertise, Experience in technology domains, Experience managing End-of-Support (EOS) and End-of-Life (EOL) technology risks, Plan and coordinate platform upgrades, migrations, modernization efforts, and technology decommissioning activities, Technology Product Ownership, Infrastructure Risk Management, Vulnerability Management, CVE Analysis & Remediation, Technology Lifecycle Management (EOS/EOL), Infrastructure Modernization, Agile Methodologies, Stakeholder Management, Enterprise Infrastructure Platforms, Risk Assessment & Prioritization, Glider Candidate ID Verification", "qualificationsPreferred" : "Experience with cloud platforms, Automation and scripting experience, Experience working within large-scale enterprise environments, Stakeholder management skills, Communication skills, Organizational skills, Experience leading cross-functional technology initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of thustry trends and technologies. Required Qualifications Infrastructure Domain Expertise Candidates should possess experience in one or more of the following technology domains: Database Platforms * Oracle * Microsoft SQL Server * PostgreSQL Identity & Access Management * Active Directory * Azure Active Directory (Entra ID) * Identity and Access Management (IAM) Solutions Middleware Platforms * IBM WebSphere * Oracle WebLogic * Apache Tomcat Messaging Platforms * Apache Kafka * IBM MQ * RabbitMQ AI / Compute Infrastructure Platforms Vulnerability Management * Strong understanding of Common Vulnerabilities and Exposures (CVEs), risk scoring methodologies, and remediation prioritization. * Experience working with vulnerability management and scanning tools such as: * Qualys * Tenable * Similar enterprise vulnerability management platforms Technology Lifecycle Management * Experience managing End-of-Support (EOS) and End-of-Life (EOL) technology risks. * Proven ability to plan and coordinate platform upgrades, migrations, modernization efforts, and technology decommissioning activities. Preferred Qualifications * Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP). * Automation and scripting experience using Python and/or PowerShell. * Experience working within large-scale enterprise environments. * Strong stakeholder management, communication, and organizational skills. * Experience leading cross-functional technology initiatives. Preferred Certifications * CISM (Certified Information Security Manager) * CISSP (Certified Information Systems Security Professional) * SAFe Product Owner/Product Manager (PO/PM) * ITIL Certification Required Skills * Technology Product Ownership * Infrastructure Risk Management * Vulnerability Management * CVE Analysis & Remediation * Technology Lifecycle Management (EOS/EOL) * Infrastructure Modernization * Agile Methodologies * Stakeholder Management * Enterprise Infrastructure Platforms * Risk Assessment & Prioritization Screening Requirements * Glider Candidate ID Verification Required Work Schedule * Hybrid work environment. Minimum of three (3) days onsite per week required. Regards, Mohammed ilyas, PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Technology Product Owner – Infrastructure Security & Modernization at VTekis Consulting LLP. Skills: Infrastructure Security, Modernization, Product Ownership, Vulnerability Management. Manage End-of-Support (EOS) and End-of-Life (EOL) technology risks. 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19 - Toronto Head Office (19 - Toronto Head Office)
150 King Street West
Suite 2200
Toronto, M5H 1J9

" ], "timestamp" : "2026-06-16T00:46:31.767", "fingerprint" : "85a7438bcb6e0f582a7f4f6eac15687d80a90b56d0fd5671355997c75f69e541", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57323", "externalId" : "57323", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations like the Côté Gold Mine in Ontario, one of Canada’s largest and most technologically advanced gold mines, we’re not just mining gold; we’re redefining what mining means for the future. At IAMGOLD, we believe that when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. Recognized as one of the 2025 GTA Top Employers, we offer an environment designed for growth, world-class rewards, cutting-edge development programs, and a culture that values fresh ideas and collaboration. Our results speak for themselves: ranked 13th on the 2025 TSX30, we’ve proven that performance and purpose go hand in hand. Here, you’ll work on projects that matter, leveraging technology, sustainability, and creativity to deliver impact for our teams, communities, and the planet. Innovation drives us. Sustainability anchors us. Accountability shapes us. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Sustainability Approach About the role: Join us as the Manager, Enterprise Technology , where you will lead the architecture, planning, implementation, and management of our global technology infrastructure. Reporting to the Senior Manager, Infrastructure and Operations, you will ensure our network, cloud, computing platforms, and communications systems are secure, resilient, and scalable. In this high‑impact role, your leadership will enable enterprise‑wide digital transformation, support critical business objectives, and drive operational excellence across the organization. Responsibilities: Develop and lead our global infrastructure strategy and technology roadmap. Oversee infrastructure operations to ensure reliability, high availability, and performance. Drive modernization initiatives, including cloud adoption, automation, and platform improvements. Strengthen infrastructure security and collaborate with cybersecurity teams on threat mitigation. Lead disaster recovery and business continuity planning and testing. Manage and mentor infrastructure and operations teams, fostering collaboration and continuous improvement. Build strong vendor and MSP partnerships; negotiate contracts and manage service performance. Oversee infrastructure budgets, forecasts, and reporting. Translate business requirements into secure, scalable, and effective technology solutions. Key Skills & Knowledge: 7+ years of experience in IT infrastructure leadership within complex, multi‑site environments. Strong knowledge of cloud platforms (Azure preferred), networking, architecture, and security. Proven success leading teams and large‑scale modernization or cloud migration initiatives. Experience in industrial or mining environments (IT + OT experience is a strong asset). We Value: Certifications such as ITIL, PMP, Azure, Cisco, or FortiGate are highly valued. Excellent communication, decision‑making, and stakeholder engagement skills. Ability to lead through change, develop talent, and build a culture of innovation and collaboration. Strength in budgeting, vendor management, and prioritization under pressure. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Work-Life Balance – Summer Hours and an End-of-Year Office Closure to recharge and refocus. • Flexibility Built In – Hybrid work model and adaptable arrangements for the future of work. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. • Career Growth That Counts – Coaching for success, online learning, and conferences to keep you ahead of the curve. • Culture That Connects – Town halls, lunch & learns, and collaborative spaces where ideas shape tomorrow. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. Be part of a modern company driven by innovation, accountability, and sustainability. Apply Today! Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications. 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AWS pre-sales; AWS training teams; AWS support teams; AWS sales teams; AWS engineering teams; Internal departments", "projectManagementSkills" : [ "Project lead experience" ], "domainKnowledge" : "Public sector customers; Government customers; Education customers; Hospital customers; Cloud infrastructure; Cloud native; Cloud modernization; Cloud security; Cloud management; Cloud operations", "domainList" : [ "public-sector-customers", "government-customers", "education-customers", "hospital-customers", "cloud-infrastructure", "cloud-native", "cloud-modernization", "cloud-security", "cloud-management", "cloud-operations" ], "domainSpecificKnowledge" : [ "Public sector customers", "Government customers", "Education customers", "Hospital customers", "Cloud infrastructure", "Cloud native", "Cloud modernization", "Cloud security", "Cloud management", "Cloud operations" ], "communicationSkills" : "Information sharing; Discussion with project leads", "documentationSkills" : "Document creation", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Support policy realization with cloud; Achieve business transformation with customers; Solve challenges with latest technology; Contribute to customer business transformation", "qualificationsBasic" : "Communication skills with project leads, Project execution skills, Hands-on experience defining requirements, Hands-on experience designing IT platforms, Hands-on experience building IT platforms, Hands-on experience deploying IT platforms, Project lead experience, Business level Japanese reading, Business level Japanese document creation, Business level Japanese conversation, AWS certification, Experience designing highly available systems, Experience implementing highly available systems, Experience designing CI platforms, Experience implementing CI platforms, Experience implementing cloud infrastructure", "qualificationsPreferred" : "Professional level AWS certification, Infrastructure migration experience, Application migration experience, Agile knowledge, Agile experience, Serverless architecture experience, Microservices architecture experience, Generative AI product development, Generative AI business transformation, IT compliance experience, Security risk management experience, Conversational English ability", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* 官公庁、教育機関、病院等の公共のお客様に対して、クラウドを利用した低コストで迅速に政策実現等のご支援を提供するキャリアを希望しますか? * さまざまなビジネス環境における最新の技術の最前線でクラウドインフラストラクチャとプラットフォームテクノロジーを使用して、お客様とともにビジネス変革を行えるプロジェクトでチームをリードすることを希望しますか？ * お客様のプロジェクトの支援を通して、最新の技術を活用したクラウド利用に関わる課題解決に取り組み、お客様のビジネスを変革し貢献するのが、AWSインフラストラクチャーアーキテクトです。 AWSインフラストラクチャーアーキテクトが支援するお客様のプロジェクトでは、クラウドインフラストラクチャーの設計、クラウドネイティブ化やモダナイゼーションの支援、セキュリティや権限管理の設定、クラウド管理の自動化、クラウド運用のための組織づくりや人材育成の支援など、クラウドをより効果的に活用するために必要なご支援を幅広く提供します。 Key job responsibilities Amazonは、地球上で最もお客様を大切にする企業、そして地球上で最高の雇用主となり、地球上で最も安全な職場を提供することを目指しています。アマゾンウェブサービス（AWS）は、世界中190ヶ国の100万以上ものお客様に利用されています。ミッションクリティカルなアプリケーションをより強化する、信頼性の高い、スケーラブルで、低コストのインフラストラクチャプラットフォームを提供しており、お客様の既存アプリケーションをこうしたAWSプラットフォームへ移行することはなによりお客様のためになるものと信じています。職務には次のような内容が含まれます。・AWSのアカウントマネージャーやプリセールス、トレーニング、サポートチームと協業して、パートナーやお客様がAWSのサービスを活用していくことを支援します。・お客様が効果的にAWSを活用いただくためにAWSの営業チーム、エンジニアリングチーム、サポートチームと協力して、お客様やパートナーのニーズを収集し、パートナーやお客様先に対して技術的支援を提供します。・これはプリセールスでの訪問への同行、お客様のニーズを理解、パッケージ化されたオファリングの提案と提供、カスタマイズされたソリューションの提供などが含まれます。・AWSサービスを使ってプライベートクラウドとパブリッククラウドにまたがった新しい分散コンピューティングソリューションの実現を支援し、プロジェクトを遂行します。 Basic Qualifications: - お客様先でAWSの代表として、顧客のプロジェクト責任者と情報共有や議論を進めるコミュニケーションスキル - お客様、パートナー様、社内の他部門と連携しプロジェクトを進めるスキル - ITプラットフォーム上での要件定義・設計・構築・導入のハンズオン経験とプロジェクトリード経験 - ビジネスレベルの日本語読解・ドキュメント作成・会話力 - AWS等のクラウドベンダーの認定資格の保有 - 以下いずれかの経験 - (a) 可用性の高いシステムの設計とソリューション化に関する実務経験 - (b)継続的インテグレーションプラットフォームの設計と実装に関する実務経験 - (c)エンタープライズにおけるネットワーク、コンピューティング、ストレージ、コンテナを含むクラウド実装の経験 Preferred Qualifications: - プロフェッショナルレベルのAWS認定取得 - オンプレミス環境からクラウドへのインフラ、アプリケーションなどのマイグレーション経験 - ソフトウェア開発のライフサイクル（SDLC）やアジャイルに関する知識・経験 - サーバレスやマイクロサービスアーキテクチャを活用したクラウド導入経験 - 生成AIを活用したプロダクト開発または業務変革支援 - ITコンプライアンスやセキュリティリスク管理に対応した経験 - 日常会話レベルの英語力 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" : "Cloud Infrastructure Architect (Public) at Amazon Web Services Japan GK. Skills: Cloud infrastructure, Cloud native, Solution architecture. Support customers with AWS. 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Cross-functional teams", "domainKnowledge" : "Cloud infrastructure; Containerization; Infrastructure as code; DevOps practices; Network security; System monitoring", "domainList" : [ "cloud-infrastructure", "containerization", "infrastructure-as-code", "devops-practices", "network-security", "system-monitoring" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Containerization", "Infrastructure as code", "DevOps practices", "Network security", "System monitoring" ], "toolProficiency" : [ "Azure", "Kubernetes", "Terraform", "CI/CD tools", "Monitoring tools", "Ansible" ], "documentationSkills" : "Document infrastructure configurations", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure high availability; Improve system performance; Enhance infrastructure security; Streamline deployment processes", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Computer Science, Experience with Azure, Experience with Kubernetes, Experience with Terraform, Experience with CI/CD pipelines, Experience with scripting languages, Experience with monitoring tools, Experience with networking concepts, Experience with security best practices", "qualificationsPreferred" : "Master's degree, Azure certifications, Experience with Ansible, Experience with containerization, Experience with infrastructure as code", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LightFeather is hiring a cleared Azure infrastructure and DevOps professional to support mission-critical federal IT modernization in Washington, D. C. In this role, you'll take ownership of secure cloud architecture, infrastructure automation, and compliance operations — working directly alongside government stakeholders to keep systems performant, resilient, and audit-ready. Location: Hybrid, On-site 4 days/week in Washington, D. C. 20036 and 1 day Telework Job Type: Full-time Clearance Requirement: U. S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Secret-level security clearance Key Responsibilities Design, deploy, and maintain Azure cloud infrastructure including VMs, VNets, Storage, Azure AD, and PaaS services. Manage and optimize Azure networking components (VNets, NSGs, Load Balancers, VPN/ExpressRoute connectivity). Develop and maintain Terraform templates as the primary IaC tool (critical requirement emphasized by hiring managers). Support automation via PowerShell, Bash, YAML/JSON, and GitLab pipelines. Deploy, configure, and manage AVD environments including host pools, session hosts, FSLogix profile containers, and Azure AD/M365 integrations. Provide troubleshooting and performance optimization for AVD users (explicit customer requirement). Build, maintain, and troubleshoot CI/CD pipelines in GitLab. Automate cloud operations, system configuration, and monitoring tasks. Implement secure cloud practices aligned with federal requirements (RBAC, Key Vault, IAM, encryption standards). Ensure compliance with NIST, RMF, FedRAMP, and agency-specific controls. Use Azure Monitor, Log Analytics, and related tools to analyze system health, diagnose issues, and enforce SLAs. Work with engineering, security, and program staff to support ongoing cloud modernization efforts. Support onsite collaboration with customer stakeholders (note: role cannot be performed remotely long-term). Required Qualifications Active Secret clearance or higher Ability to commute to Washington, D. C. and work onsite four days per week 5+ years of total experience in Cloud Engineering, DevOps, or Systems Engineering 3+ years hands-on with Azure cloud services and infrastructure architecture 3+ years building and managing CI/CD pipelines in production environments 3+ years writing and maintaining Terraform IaC (high-priority skill) 3+ years working with GitLab for source control and pipeline management 4+ years of PowerShell scripting for systems automation Demonstrated production experience with Azure Virtual Desktop (AVD) Working knowledge of federal compliance frameworks: FedRAMP, NIST 800-53, RMF Preferred Qualifications Prior work supporting DoD or civilian federal agency cloud programs Familiarity with containerization: Docker, Kubernetes, or AKS Experience with Azure serverless services (Functions, Logic Apps, Event Grid) FinOps or Azure Cost Management experience for cloud spend governance Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.", "summaryDescription" : "Senior Azure Cloud Infrastructure Engineer at LIGHTFEATHER IO LLC. Skills: Azure Cloud, Kubernetes, Terraform, CI/CD. Design and implement Azure infrastructure. 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Partnering across Security; Partnering across customer teams; Distributed teams; Across time zones", "domainKnowledge" : "Enterprise resilience solutions; SaaS products", "domainList" : [ "enterprise-resilience-solutions", "saas-products" ], "domainSpecificKnowledge" : [ "Enterprise resilience solutions", "SaaS products" ], "toolProficiency" : [ "Terraform", "GitLab", "GitHub", "Docker", "Kubernetes", "ECS", "Fargate", "AKS", "EKS", "Datadog", "CloudWatch", "WAF", "SIEM", "Jira", "Confluence", "Okta" ], "communicationSkills" : "Customer-facing communication", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation, Export Administration Regulations compliance, U.S. person status verification", "qualificationsBasic" : "AWS and Azure experience, Database operations experience, Terraform experience, CI/CD pipeline experience, Containers and orchestration experience, Monitoring and observability tools experience, Security tooling exposure, Production operations experience, Networking, security, and system design understanding, Ability to support multiple SaaS products, Senior level Okta experience", "qualificationsPreferred" : "Multi-cloud or hybrid architecture experience, Cost optimization and performance tuning experience, Experience supporting global deployments, Customer-facing communication skills, Ability to support regional clients, Escalation handling ability", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands. Role Overview We are hiring a Senior Cloud Infrastructure Engineer to help operate and continuously improve the cloud platforms that power Juvare’s mission-critical enterprise resilience solutions. In this role, you’ll own day-to-day cloud operations and service reliability for regional clients and global environments, partnering across Engineering, Security, and customer teams to coordinate deployments, incidents, and escalations across multiple time zones. Location Melbourne, AU Wellington, NZ Must Have Strong experience with AWS and Azure, with a cloud-agnostic mindset Strong database operations experience (backup/restore, replication, performance tuning, access management) Strong experience with Terraform CI/CD pipeline experience (GitLab, GitHub) Strong experience with containers and orchestration (Docker, Kubernetes, ECS/Fargate, AKS, EKS) Experience with monitoring and observability tools (Datadog, CloudWatch) Exposure to security tooling (WAF, SIEM, vulnerability management) Experience in production operations (incident response, on-call, RCA) Strong understanding of networking, security, and system design Ability to support multiple SaaS products and environments Nice to Have Multi-cloud or hybrid architecture experience Cost optimization and performance tuning Experience supporting global deployments across time zones Jira / Confluence experience Senior level experience with Okta, including workflows, application integrations, SSO/MFA, lifecycle management, and identity automation Strong customer-facing communication skills Ability to support regional clients and escalation handling Comfortable working across distributed teams (US, Europe) Key Traits Proactive communicator Strong coordination and ownership mindset Ability to operate independently in a remote-first setup This position is subject to compliance with the Export Administration Regulations (\"EAR\") and may require a U. S. person status verification. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. EEO Statement Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law. Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to human-resources@juvare.com. The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in. Affirmative Action: Juvare’s Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.", "summaryDescription" : "Senior Cloud Infrastructure Engineer at Juvare. Skills: Cloud Infrastructure, DevOps, SaaS Operations. Operate cloud platforms. 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Develop product strategy. 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Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-15T07:16:32.776", "fingerprint" : "b2e5ddab17d076a3ad5719fb4f38abe351cf69849ac45ae04f71faa1ac26370f", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=892923", "externalId" : "892923", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 12, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, React, JavaScript, Apache Spark, Kafka, NoSQL, AWS, Azure, GCP, Linux OS, Containers, Kubernetes, Networking", "professionalSkills" : [ "Stakeholder management", "Cost optimization", "Vendor management", "Internal consulting", "Demand management", "Product conceptualization", "Change management" ], "hardSkillsList" : [ "Data strategy implementation", "Agile development", "DevOps methodologies", "Intercultural awareness" ], "softSkillsList" : [ "Inclusivity" ], "hardSkills" : [ { "name" : "Data strategy implementation", "level" : "intermediate" }, { "name" : "Agile development", "level" : "intermediate" }, { "name" : "DevOps methodologies", "level" : "intermediate" }, { "name" : "Intercultural awareness", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inclusivity" } ], "majorSkills" : "Cloud Platforms, Data & AI, Program Management, Digitalization", "majorSkillsList" : [ "Cloud Platforms", "Data & AI", "Program Management", "Digitalization" ], "coreResponsibilities" : "Steer deliverables, Execute deliverables, Lead technology teams, Meet business deliverables, Drive business growth, Expand project resources, Lead change management, Act as change agent, Facilitate cross-functional collaboration, Foster co-creation culture, Maintain stakeholder satisfaction, Build inclusive culture, Build psychological safety, Plan budget, Plan manpower, Ensure compliance", "teamCollaboration" : "Cross-functional collaboration; International teams", "projectManagementSkills" : [ "Agile", "SAFe", "Scrum", "Kanban", "DevOps" ], "domainKnowledge" : "Automotive tech; Cloud-native development; Data landscapes; AI landscapes; MBAG IT Strategy", "domainList" : [ "automotive-tech", "cloud-native-development", "data-landscapes", "ai-landscapes", "mbag-it-strategy" ], "domainSpecificKnowledge" : [ "Automotive tech", "Cloud-native development", "Data landscapes", "AI landscapes", "MBAG IT Strategy" ], "toolProficiency" : [ "SAFe", "Scrum", "Kanban" ], "communicationSkills" : "Proactive communication", "continuousLearning" : "Continuous improvement; Organizational initiatives; Data communities", "innovationCreativity" : "Innovation contribution; Design thinking; Open-source approaches", "outcomesObjectives" : "Meet business deliverables with quality; Meet business deliverables with timeliness; Drive business growth; Promote diversity; Promote inclusion", "qualificationsBasic" : "12+ years experience, B.E. or M.B.A", "qualificationsPreferred" : "Business fluent German", "remoteFriendly" : false, "rawDescription" : "About MBRDI Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Job Title: Senior Program Manager Job Level: L5 Department: ITH/IT Employment Location: Brigade Tech Gardens Reporting To: Deputy General Manager Communication and Stakeholder Interaction The role requires constant, frequent, and occasional communication with internal and external stakeholders, including managers, employees, team members, corporate functions (Finance, HR, Facilities), MBRDI suppliers, and candidates. Communication aims to ensure alignment with business strategies, project updates, and stakeholder satisfaction. Key Responsibilities and Task Distribution The role’s main tasks are categorized with approximate time allocation: 1. Functional Capabilities Steering and executing deliverables aligned with MBAG IT Strategy. Focus on pillars like Tech Front Runner, Radical Standardization, AI adaptation. Team building, architectural design, and end-to-end project delivery. 2. Project Ownership Leading technology teams to meet business deliverables with quality and timeliness. Driving business growth through project and resource expansion. Leading change management and acting as a change agent. Facilitating cross-functional collaboration and fostering co-creation culture. Maintaining stakeholder satisfaction through regular communication and trust-building. 3. People Management and Compliance Talent acquisition, coaching, development, and career management. Building a culture of inclusivity, empathy, and psychological safety. Financial stewardship through budget and manpower planning. Ensuring compliance with statutory and internal policies. Compliance and Commitment The jobholder must ensure adherence to all group and location rules, including compliance regulations, safety, data protection, work safety, environmental regulations, and working hours . Qualifications and Experience Education: B.E. (any field) or M.B.A. in General Administration or equivalent. Experience: Minimum 12+ years in automotive tech or software engineering. Expertise in managing projects with growth impact, digitalization initiatives using KPIs, and strong knowledge of Azure/AWS cloud platforms and Data & AI landscapes. Innovation contribution and intercultural awareness, promoting diversity and inclusion. Proficiency in driving data strategy from demand management to implementation. Trusted advisor capabilities with proactive communication on operational status, risks, and issues. Product conceptualization using design thinking, business canvas, and open-source approaches. Leadership in internal consulting, stakeholder management, cost optimization, vendor management, and adherence to Mercedes-Benz IT governance and methodologies. Promoting continuous improvement and innovation, participation in data communities, and organizational initiatives. Specific Technical Knowledge and Skills Software development background with Python and React/JS family. Experience in Agile development teams with SAFe, Scrum, Kanban, and DevOps methodologies. Strong stakeholder management and interpersonal skills. Experience working in international teams. Knowledge of Big Data technologies like Apache Spark, Kafka, NoSQL databases. Hands-on experience with cloud providers such as AWS, Azure, or GCP. Cloud-native development, Linux OS, containers, Kubernetes, and networking skills. Business fluent in English; German language skills are an advantage. Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Sr. Program Manager - Cloud Platforms at Mercedes-Benz Research and Development India. Skills: Cloud Platforms, Data & AI, Program Management, Digitalization. Steer deliverables. 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C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is seeking a talented Product Manager, Platform - Cloud Infrastructure (Commercial/Federal) to lead the product strategy and roadmap for automating deployments of the C3 Agentic AI Platform across C3-managed, customer, and Federal cloud environments to enable global enterprise and public sector adoption. By driving cross-functional teamwork across Engineering, Cloud Operations, Product, and Field Operations, you will deliver critical capabilities like automated provisioning and deployment repeatability. You will translate sophisticated cloud deployment requirements into clearly defined product features, acceptance criteria, and prioritized backlog items. Managing a comprehensive deployment automation roadmap, you will oversee multi-cloud coverage, data residency requirements, and platform rollout plans across all deployment targets. You will also partner with platform teams to resolve foundational blockers related to tenant onboarding, infrastructure configuration, and operational readiness. Finally, you will serve as a trusted product leader to cross-functional stakeholders and executive leadership, framing trade-offs and prioritizing investments to scale automated deployments across C3, customer, and Federal cloud environments. This role spans both commercial deployments (C3-managed SaaS and customer-managed VPC / BYOC environments on AWS, Azure, and GCP) and Federal deployments (AWS GovCloud, Azure Government, and air-gapped environments) aligned to FedRAMP Moderate/High and DoD IL4–IL6 controls. You will define how a single platform release flows through hardened, compliance-bound pipelines to reach every target environment with predictable quality, security, and time-to-deploy. Responsibilities: Own the product vision for deployment automation — including roadmaps, product specifications, and release planning — working closely with Engineering, Cloud Operations, Product, and Field Operations across all levels of team planning. Define and track leading indicators of deployment performance and reliability, and drive prioritization decisions based on insights from platform metrics, deployment reporting, and operational data. Create and maintain concrete, quantitative, and descriptive profiles of deployment targets and customer environments, including infrastructure configurations, cloud tenancy models, and API and data execution profiles across C3-managed, customer, and Federal clouds. Partner with Cloud Operations, Platform Engineering, Services, and customers to evaluate and continuously improve deployment automation maturity, repeatability, and operational readiness. Drive cross-functional alignment across Engineering, Cloud Operations, Field Operations, Marketing, Sales, and Services, ensuring deployment capabilities are well understood, prioritized, and communicated to all stakeholders. Justify roadmap investments and trade-offs with both qualitative and quantitative evidence, including deployment velocity metrics, customer feedback, and operational impact data. Drive the customer-managed deployment experience — including private connectivity, customer-managed keys (CMK/BYOK), IAM federation, network egress controls, and Kubernetes-on-customer-cluster patterns — so a customer can stand up and operate C3 in their own VPC with the same reliability bar as C3-managed SaaS. Set and hold the bar on deployment KPIs — for example, time-to-stand-up a new tenant, deployment success rate, mean-time-to-recover for failed rollouts, and patch latency across the fleet — and partner with Forward Deployed Engineering on the feedback loop from real customer deployments back into the platform roadmap. Qualifications: Bachelor of Science in a STEM field; MBA or Master of Science preferred. 5+ years of product management or technical program management experience, with a strong background in cloud infrastructure, deployment automation, and enterprise or public sector environments. Excellent verbal and written communication and presentation skills, with the ability to convey complex technical concepts to both executive and engineering audiences. Strong problem-solving skills and bias for action — able to navigate both business and technical domains and provide clear guidance to internal and external implementation teams. Deep understanding of modern cloud platforms and compute technologies, including Kubernetes, Apache Spark, Azure, AWS, GCP, and experience with Federal cloud environments such as AWS GovCloud or Azure Government. Working fluency with Kubernetes networking, identity, and multi-tenant isolation patterns is required; hands-on familiarity with at least one of AWS, Azure, or GCP at the deployment-architect level (VPC design, IAM, KMS/HSM, private endpoints) is expected. Technical proficiency with distributed systems, relational databases, and key-value stores, with the ability to read and understand code and architecture diagrams, though not expected to function as an engineer. Familiarity with AI/ML platform deployment, agentic AI frameworks, or enterprise SaaS deployment models is a strong plus. Demonstrated product ownership of Infrastructure-as-Code, GitOps, or CI/CD tooling (Terraform, Helm, ArgoCD/Flux, Crossplane, Tekton, or similar), with a clear point of view on how release engineering should differ between commercial SaaS and Federal pipelines. Strong plus: experience deploying agentic or LLM-powered workloads — model serving, retrieval/vector stores, tool/MCP integrations, eval and guardrail pipelines — into regulated or air-gapped environments where commercial frontier model APIs are not available. U. S. citizenship is required to support Federal customer engagements. Existing or ability to obtain a U. S. government security clearance (Public Trust, Secret, or higher) is a strong plus. Preferred Qualifications: Direct experience supporting a product through a FedRAMP Moderate or High authorization (or DoD IL4/IL5/IL6 equivalent) — including SSP contributions, control inheritance decisions, POA&M management, and working alongside a 3PAO. Familiarity with NIST 800-53 and CMMC is expected. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $150,000—$190,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. 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HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid. Our vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers – connecting ambitious talent to flexible opportunities with trusted brands. Anticipated Contract End Date/Length: November 30, 2026 Work Set Up: Hybrid (3 days onsite per week mandatory) Our client in the Information Technology and Services industry is looking for a Programme Director – CTO Platforms to lead the delivery of large-scale technology transformation initiatives across infrastructure, cloud, hosting, and platform services. This role will be responsible for driving end-to-end programme execution, ensuring alignment with enterprise strategy, modernization objectives, operational resilience requirements, and regulatory standards. The ideal candidate will possess extensive experience delivering complex technology programmes within highly regulated environments and managing large-scale budgets, stakeholders, and global delivery teams. What you will do: * Lead the delivery of complex, multi-workstream CTO Platforms programmes across infrastructure, cloud, hosting, and platform services. * Define and execute programme roadmaps aligned with modernization, scalability, resilience, and strategic business objectives. * Manage programme delivery to agreed scope, timelines, quality standards, and business outcomes. * Oversee programme budgets, forecasting activities, and benefits realization initiatives. * Drive alignment across engineering, architecture, site reliability engineering (SRE), and service management teams. * Establish and maintain effective programme governance, reporting, risk management, and control frameworks. * Manage senior stakeholders across technology, business, regulatory, and control functions. * Ensure compliance with enterprise architecture, cloud strategy, DevOps, automation, and operational standards. * Oversee third-party vendors and global delivery partners to ensure successful programme execution. * Lead global, matrixed teams and foster accountability for delivery performance and outcomes. * Identify and mitigate programme risks, dependencies, and issues. * Drive continuous improvement initiatives to enhance programme delivery effectiveness. * Provide executive-level reporting, communication, and decision support. * Support organizational transformation efforts through strategic technology initiatives. ## Qualifications * Eligibility to obtain BPSS clearance. * Proven experience delivering large-scale CTO Platforms or enterprise technology programmes with budget accountability exceeding £50 million. * Strong experience across infrastructure, cloud platforms, hosting environments, and platform engineering. * Demonstrated success leading complex transformation initiatives within large-scale enterprise environments. * Experience working within Tier-1 financial services organizations; experience with HSBC environments is highly preferred. * Strong understanding of governance, risk management, regulatory compliance, and audit frameworks. * Experience establishing and managing programme governance and control structures. * Proven ability to manage executive-level stakeholders across technology and business functions. * Experience overseeing complex vendor ecosystems and global delivery partnerships. * Strong financial, commercial, budgeting, and forecasting management experience. * Experience leading global and matrixed teams across multiple disciplines. * Knowledge of cloud strategies, DevOps practices, automation frameworks, and enterprise architecture principles. * Excellent leadership, communication, negotiation, and stakeholder management skills. * Strong strategic thinking, problem-solving, and decision-making capabilities. ## Additional Information All your information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship. HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements. We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted. HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.", "summaryDescription" : "Programme Director – CTO Platforms at HelloKindred. Skills: Cloud platforms, CI/CD, Containerization, Technical leadership. Design scalable infrastructure. 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Architecture diagrams", "continuousLearning" : "Professional development", "innovationCreativity" : "Process improvement; New technology adoption", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; System design", "outcomesObjectives" : "Improve system reliability; Enhance scalability; Automate software delivery", "qualificationsBasic" : "Bachelor's degree, 6+ years of experience, Experience with CI/CD, Experience with cloud platforms, Experience with Kubernetes, Experience with infrastructure as code", "qualificationsPreferred" : "Master's degree, Experience with large-scale distributed systems, Experience with machine learning infrastructure, Experience with data pipelines, Experience with security best practices", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Senior Software Engineer to join our Lifecycle team and help maintain the pipelines and deployment systems that power containerized applications across IXL brands. The team is focused on automation, reliability, and developer productivity, helping brand engineering teams ship features quickly and safely. This role will be a key contributor to high-priority initiatives such as building reusable CI and deployment workflows, advancing automated testing strategies, and enabling smooth onboarding of new products onto our unified delivery systems. Because these systems support multiple brands and engineering organizations, the role is highly dynamic — requiring collaboration across diverse teams and cultures, adapting to different ways of working, and helping to drive alignment as we extend our shared platforms more broadly. This position requires you to be in our San Mateo, CA, headquarters office. WHAT YOU'LL BE DOING Design, build, and maintain software delivery pipelines for containerized applications Develop systems for artifact build and push, application validation, and automated deployment Create and support dynamic test environments and database-aware testing strategies Partner with brand engineering teams to ensure smooth, reliable releases Collaborate on unifying CI and deployment workflows across repositories and brands Provide support and troubleshooting for build and deployment pipelines Contribute to developer productivity by improving reliability and reducing friction in release processes WHAT WE'RE LOOKING FOR Bachelor's or advanced degree in computer science/engineering or a related discipline 6+ years of professional experience with technical infrastructure and software engineering Strong programming skills in at least one object-oriented language (Java, C++, etc.) and one scripting language (Python, Bash, etc.) Experience building reusable CI and deployment systems (GitHub Actions, Jenkins, or similar) Hands-on experience with containerized environments (Docker, Kubernetes) Experience managing cloud infrastructure (AWS preferred) Strong debugging and problem-solving skills across the stack Effective collaborator with excellent communication skills EAS/Expo or mobile release experience is a plus Passion for building reliable systems that empower developers and improve product delivery The base salary range for this full-time position is $130,000 to $200,000 + equity + benefits. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. ABOUT IXL LEARNING IXL Learning is the country's largest EdTech company. We reach millions of learners through our diverse range of products. For example: 1 in 4 students in the United States uses IXL.com Rosetta Stone provides an immersive learning experience for 25 languages Wyzant is the nation's largest community of tutors, covering 300+ subjects Teachers Pay Teachers (TPT) is a comprehensive marketplace for millions of educator-created resources Our mission is to create innovative products that will make a real, positive difference for learners and educators and we're looking for passionate, mission-minded people to join us in achieving this goal. We have a unique culture at IXL that fosters collaboration and the open exchange of ideas. We value our team and treat one another with kindness and respect. We approach our work with passion, tenacity, and authenticity. We find it immensely satisfying to develop products that impact the lives of millions and we are eager to have you join our team. At IXL, we value diversity in age, race, ethnicity, gender, sexual orientation, physical and mental ability, political and religious beliefs, and life experience, and we are proud to promote a work environment where everyone, from any background, can do their best work. IXL Learning is an equal opportunity employer and does not discriminate against applicants and employees based on any legally protected category.", "summaryDescription" : "Senior Software Engineer, CI/CD Platform at IXL Learning. Skills: CI/CD, Kubernetes, Cloud platforms, Infrastructure as code. Design and build CI/CD systems. Develop and maintain infrastructure as code", "postedDate" : "2026-06-15T23:26:15.504", "createdAt" : "2026-06-15T23:26:15.504", "lastUpdated" : "2026-06-16T07:02:25.356", "ingestTimestamp" : "2026-06-15T23:26:15.504", "mongoId" : "6a305afaf292fd229cf57d15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "CI/CD implementation", "Kubernetes management", "Cloud infrastructure management", "Scripting", "System monitoring", "Distributed systems design", "MLOps", "CI/CD", "Kubernetes", "Cloud platforms", "Infrastructure as code", "System design", "Problem solving", "Mentoring junior engineers", "Agile methodologies", "CI/CD principles", "Cloud-native architecture", "Distributed systems", "Machine learning infrastructure", "Data pipelines", "Security best practices", "Terraform", "Ansible", "Docker", "Prometheus", "Grafana", "ELK Stack", "Jenkins", "GitLab CI", "GitHub Actions" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 631.81323, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ab23174d8ee00a06d265e", "title" : "Cloud Platform & Infrastructure Engineer", "company" : "Aisle", "industry" : "Research & Development", "salary" : { "min" : 1200000.0, "max" : 1700000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Cloud Platform & Infrastructure Engineer in Prague, Czech Republic, adjusted for the cybersecurity industry and company size." }, "location" : "Prague", "locations" : [ "Prague" ], "timestamp" : "2026-06-14T22:18:43.228", "fingerprint" : "8e008948b7e1bee661578b782843a2f3efc7ca51e4451eb1c6c6e24127e5aabc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aisle/f306b4cd-3859-47df-b9fe-351ed79f3715/application", "externalId" : "f306b4cd-3859-47df-b9fe-351ed79f3715", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Prague, Czech Republic", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GCP, Azure, Kubernetes, EKS, Helm, OpenTelemetry", "professionalSkills" : [ "Platform engineering", "SRE", "FinOps", "SLOs", "SLIs" ], "hardSkillsList" : [ "Cloud networking", "Infrastructure as Code", "Identity management", "Container orchestration", "Observability" ], "hardSkills" : [ { "name" : "Cloud networking", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Identity management", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" } ], "coreResponsibilities" : "Engineer cloud infrastructure, Scale cloud infrastructure, Support hybrid BYOC delivery, Architect for compliance, Architect for security, Drive compliance certifications, Meet security standards, Design network architectures, Implement network architectures, Maintain network architectures, Bridge systems with customer environments, Optimize cloud spend, Implement FinOps practices, Ensure efficient resource utilization, Ensure cost-effective scaling, Champion reliability, Establish system reliability, Maintain system reliability, Drive blameless post-mortems, Improve infrastructure, Shift security left, Embed security best practices, Embed security in CI/CD, Embed security in Terraform, Embed security in platform defaults", "teamCollaboration" : "Cross-functional teams; Partner with Security", "domainKnowledge" : "Cybersecurity; AI; Automation; Enterprise resilience; Vulnerability remediation; Cloud networking; Distributed cloud architectures; Regulated environments; BYOC models; On-premise installations; Air-gapped networks; GovCloud environments; Platform as a Product; Automated delivery pipelines; Multi-tenant SaaS; Customer VPCs; Enterprise identity providers; B2B SaaS; SSO; SAML; OIDC; SCIM protocols; Container orchestration; Managed Kubernetes distributions; Cluster networking; Workload security; Observability stack; SLOs; SLIs; Alerting pipelines; Hybrid BYOC delivery; Compliance certifications; Federal security standards; Commercial security standards; Private cloud environments; Cloud spend optimization; Resource utilization; Cost-effective scaling; System reliability; Error Budgets; Continuous improvement; CI/CD pipelines; Platform defaults", "domainList" : [ "cybersecurity", "ai", "automation", "enterprise-resilience", "vulnerability-remediation", "cloud-networking", "distributed-cloud-architectures", "regulated-environments", "byoc-models", "on-premise-installations", "air-gapped-networks", "govcloud-environments", "platform-as-a-product", "automated-delivery-pipelines", "multi-tenant-saas", "customer-vpcs", "enterprise-identity-providers", "b2b-saas", "sso", "saml", "oidc", "scim-protocols", "container-orchestration", "managed-kubernetes-distributions", "cluster-networking", "workload-security", "observability-stack", "slos", "slis", "alerting-pipelines", "hybrid-byoc-delivery", "compliance-certifications", "federal-security-standards", "commercial-security-standards", "private-cloud-environments", "cloud-spend-optimization", "resource-utilization", "cost-effective-scaling", "system-reliability", "error-budgets", "continuous-improvement", "ci-cd-pipelines", "platform-defaults" ], "domainSpecificKnowledge" : [ "Cybersecurity", "AI", "Automation", "Enterprise resilience", "Vulnerability remediation", "Cloud networking", "Distributed cloud architectures", "Regulated environments", "BYOC models", "On-premise installations", "Air-gapped networks", "GovCloud environments", "Platform as a Product", "Automated delivery pipelines", "Multi-tenant SaaS", "Customer VPCs", "Enterprise identity providers", "B2B SaaS", "SSO", "SAML", "OIDC", "SCIM protocols", "Container orchestration", "Managed Kubernetes distributions", "Cluster networking", "Workload security", "Observability stack", "SLOs", "SLIs", "Alerting pipelines", "Hybrid BYOC delivery", "Compliance certifications", "Federal security standards", "Commercial security standards", "Private cloud environments", "Cloud spend optimization", "Resource utilization", "Cost-effective scaling", "System reliability", "Error Budgets", "Continuous improvement", "CI/CD pipelines", "Platform defaults" ], "toolProficiency" : [ "Terraform", "OpenTofu" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years cloud infrastructure, 5+ years platform engineering, 5+ years SRE, Expert-level AWS, Advanced cloud networking, Production Kubernetes, Hands-on Terraform, Hands-on OpenTofu, Hands-on enterprise identity providers", "qualificationsPreferred" : "Familiarity with GCP, Familiarity with Azure, FedRAMP experience desired, SOC2 experience desired, ISO27001 experience desired, Helm experience a plus, Multi-tenant environments a plus, Multi-cluster environments a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHY AISLE? Aisle is redefining how enterprises secure their software with an AI agent for autonomous vulnerability remediation. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to patch what attackers exploit in days. We’re changing that. Our mission is to protect democratic societies from the most sophisticated cyberattacks. We do that by giving organizations - including those operating critical infrastructure - the power to harden their systems and resolve security issues at superhuman speed and scale. Backed by world-class founders and advisors, we’re creating a new category in cybersecurity at the intersection of AI, automation, and enterprise resilience. We’re a small, talent-dense team spread across the US, Europe, and Israel. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you. WHAT WE’RE LOOKING FOR - 5+ years of experience in cloud infrastructure, platform engineering, or SRE as a high-impact Individual Contributor. - Deep Cloud Expertise: Expert-level, hands-on knowledge of multiple cloud providers. Your primary focus and deepest expertise must be in AWS, but familiarity with GCP or Azure is a plus for supporting diverse customer-managed environments. - Advanced Networking: Exceptional understanding of cloud networking concepts (VPCs, Transit Gateways, complex peering, DNS, ingress/egress patterns, and VPNs) required for secure, distributed cloud architectures. - Security & Compliance Mastery: Strong experience operating in highly regulated environments. Familiarity with implementing a wide range of controls for certifications such as FedRAMP (Moderate or High), SOC2, and ISO27001 is highly desired, including robust IAM, encryption, and continuous monitoring. - Diverse Deployment Architecture: Deep experience designing and deploying software into highly restricted, customer-managed environments. This includes \"Bring Your Own Cloud\" (BYOC) models, fully on-premise installations, strict air-gapped networks, and highly secure GovCloud environments. - Infrastructure as Code (IaC): Extensive hands-on experience provisioning, managing, and versioning complex cloud infrastructure using Terraform or OpenTofu. - Operational Maturity & Secure Delivery: Understanding of \"Platform as a Product\" and experience building robust, automated delivery pipelines capable of shipping seamless updates across our multi-tenant SaaS, isolated customer VPCs, and fully disconnected (air-gapped) deployments. - Identity & Access Management: Proven, hands-on experience integrating enterprise identity providers in a B2B SaaS environment. Familiarity with SSO, SAML, OIDC, and SCIM protocols is expected. - Container Orchestration: Production-level experience with Kubernetes, including managed distributions such as EKS. Comfortable with Helm, cluster networking, RBAC, workload security, and managing multi-tenant or multi-cluster environments. - Observability & Monitoring: Strong command of the modern OpenTelemetry observability stack. Able to design and instrument systems to support meaningful SLOs/SLIs and feed actionable alerting pipelines. WHAT YOU’LL DO - Build the Platform: Engineer and scale our cloud infrastructure, ensuring it supports a hybrid/BYOC delivery model seamlessly across AWS, GCP, and Azure without increasing developer friction. - Architect for Compliance & Security: Serve as a core technical driver for achieving rigorous compliance certifications (such as FedRAMP, SOC2, or ISO27001). Ensure all infrastructure, networking topologies, logging, and access controls meet the highest federal and commercial security standards. - Secure Cloud Networking: Design, implement, and maintain complex network architectures that securely bridge our systems with our customers' private cloud environments. - Optimise Cloud Spend: Implement FinOps practices and architectural changes to ensure efficient resource utilization and cost-effective scaling across all cloud providers. - Champion Reliability: Establish and maintain system reliability through SLAs, SLOs, and Error Budgets. Drive blameless post-mortems and continuous improvement in our infrastructure. - Shift Security Left: Partner closely with Security to embed security best practices into our CI/CD pipelines, Terraform modules, and platform defaults.", "summaryDescription" : "Cloud Platform & Infrastructure Engineer at Aisle. Engineer cloud infrastructure. Scale cloud infrastructure", "postedDate" : "2026-06-11T22:46:06.643", "createdAt" : "2026-06-11T22:46:06.643", "lastUpdated" : "2026-06-14T22:18:43.228", "ingestTimestamp" : "2026-06-11T22:46:06.643", "mongoId" : "6a2ab23174d8ee00a06d265e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud networking", "Infrastructure as Code", "Identity management", "Container orchestration", "Observability", "Platform engineering", "SRE", "FinOps", "SLOs", "SLIs", "Cybersecurity", "AI", "Automation", "Enterprise resilience", "Vulnerability remediation", "Distributed cloud architectures", "Regulated environments", "BYOC models", "On-premise installations", "Air-gapped networks", "GovCloud environments", "Platform as a Product", "Automated delivery pipelines", "Multi-tenant SaaS", "Customer VPCs", "Enterprise identity providers", "B2B SaaS", "SSO", "SAML", "OIDC", "SCIM protocols", "Managed Kubernetes distributions", "Cluster networking", "Workload security", "Observability stack", "Alerting pipelines", "Hybrid BYOC delivery", "Compliance certifications", "Federal security standards", "Commercial security standards", "Private cloud environments", "Cloud spend optimization", "Resource utilization", "Cost-effective scaling", "System reliability", "Error Budgets", "Continuous improvement", "CI/CD pipelines", "Platform defaults", "Terraform", "OpenTofu" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "core-engineering", "dataQualityScore" : 1.0, "_score" : 631.3626, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2ca3ba74d8ee00a09ad6df", "title" : "Sr Cloud Platform Engineer", "company" : "Wizards of the Coast", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Cloud Platform Engineer in Canada, adjusted for industry and company size." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-15T07:26:45.169", "fingerprint" : "03c08e9b35a20a630b35d05e9ba074c5e3dfb39fbfe29c8f8cb4150688e3216f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249809009", "externalId" : "4249809009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, C#, Golang, TypeScript, Bash, Python, JavaScript, Microservices, Messaging, Distributed caching, Containers, Networking, IAM", "professionalSkills" : [ "Cloud solution design", "Infrastructure as code", "Build systems", "Build tooling", "Cost optimization", "Scale optimization", "Latency optimization", "Performance standards", "Observability standards", "Maintainability standards" ], "hardSkillsList" : [ "Infrastructure development", "Perforce administration", "Software development", "Compiled programming", "Scripting" ], "softSkillsList" : [ "Trust", "Clarity" ], "hardSkills" : [ { "name" : "Infrastructure development", "level" : "intermediate" }, { "name" : "Perforce administration", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Compiled programming", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Clarity" } ], "majorSkills" : "Cloud platform, Build engineering, AWS architecture, Infrastructure as code", "majorSkillsList" : [ "Cloud platform", "Build engineering", "AWS architecture", "Infrastructure as code" ], "coreResponsibilities" : "Design cloud-first suite, Develop infrastructure-as-code, Maintain infrastructure-as-code, Support AWS operations, Administer Perforce environments, Optimize systems for cost, Optimize systems for scale, Optimize systems for latency, Define performance standards, Define observability standards, Define maintainability standards, Partner with studio engineers, Mentor studio engineers, Innovate with build technologies, Innovate with cloud, Innovate with AI", "teamCollaboration" : "Game development teams; Central Technology Build Engineering; Internal game studios; Studio engineers", "domainKnowledge" : "Cloud solution design patterns; Unreal Engine ecosystem; Build pipelines", "domainList" : [ "cloud-solution-design-patterns", "unreal-engine-ecosystem", "build-pipelines" ], "domainSpecificKnowledge" : [ "Cloud solution design patterns", "Unreal Engine ecosystem", "Build pipelines" ], "toolProficiency" : [ "AWS CDK", "CloudFormation", "Terraform", "Git", "Perforce", "Unreal Engine" ], "communicationSkills" : "Technical communication", "innovationCreativity" : "Innovate with emerging technologies", "qualificationsBasic" : "3+ years software development, 3+ years compiled programs, 3+ years scripting, AWS CDK experience, CloudFormation experience, Terraform experience, GitOps practices experience, Perforce administration experience, Perforce expert knowledge", "qualificationsPreferred" : "Unreal engine experience desirable, Game engine experience desirable", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. Do you have the versatility to operate at the intersection of game development, cloud infrastructure, and platform reliability? We are seeking a Senior Cloud Platform Engineer to join our Central Technology Build Engineering team as we develop and curate an Unreal Engine ecosystem to share across our internal game studios. You will join a specialized team responsible for unblocking developers, ensuring build stability, and optimizing iteration workflows across multiple concurrent titles. This is a hands-on IC role where engineering excellence meets operational reliability. You’ll collaborate closely with game development teams to ensure a seamless experience for all Unreal-powered studios under our banner. In this role, you will design, build, and run scalable AWS architectures that serve as the backbone for deploying our Unreal Engine build systems and tools. What You'll Do: Work with the team to design a ready-made cloud-first suite of Unreal Engine build systems and tooling Develop and maintain infrastructure-as-code to ensure consistency and repeatability Support ongoing AWS operations for build infrastructure Support and administer studio-specific Perforce environments Work with studio teams to optimize our systems for cost, scale, and latency Define standards and best practices for performance, observability, and maintainability of build pipelines Act as a technical partner and mentor to studio engineers, helping teams adopt and extend shared systems effectively Innovate with emerging build technologies, cloud and AI What You'll Bring: Fundamental understanding of cloud solution design patterns (microservices, messaging, distributed caching, containers, networking, IAM, etc.) and creating solutions in AWS Exceptional experience with infrastructure as code development (AWS CDK, CloudFormation, or Terraform) and gitops practices Administration experience or expert knowledge with Perforce 3+ years of software development experience including compiled programs (such as C#, Golang, or TypeScript) and scripting (such as Bash, Python, JavaScript) Experience with Unreal or other game engines desirable Strong ability to build trust and clarity in communication with technical and non-technical audiences Exposure to Agile/SCRUM methodologies Bachelor’s degree in computer science or equivalent experience At Wizards, we believe in the magic of diversity—great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. #Wizards  Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Sr Cloud Platform Engineer at Wizards of the Coast. Skills: Cloud platform, Build engineering, AWS architecture, Infrastructure as code. Design cloud-first suite. Develop infrastructure-as-code", "postedDate" : "2026-06-13T21:44:13.343", "createdAt" : "2026-06-13T21:44:13.343", "lastUpdated" : "2026-06-15T07:26:45.169", "ingestTimestamp" : "2026-06-13T21:44:13.343", "mongoId" : "6a2ca3ba74d8ee00a09ad6df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Infrastructure development", "Perforce administration", "Software development", "Compiled programming", "Scripting", "Trust", "Clarity", "Cloud platform", "Build engineering", "AWS architecture", "Infrastructure as code", "Cloud solution design", "Build systems", "Build tooling", "Cost optimization", "Scale optimization", "Latency optimization", "Performance standards", "Observability standards", "Maintainability standards", "Cloud solution design patterns", "Unreal Engine ecosystem", "Build pipelines", "AWS CDK", "CloudFormation", "Terraform", "Git", "Perforce", "Unreal Engine" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 629.80475, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc39874d8ee00a0a09c87", "title" : "Junior Software Engineer - Cloud Platform", "company" : "loveholidays", "industry" : "Tech", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Software Engineer in London, adjusted for the travel industry and entry-level experience." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:48:26.117", "fingerprint" : "8abe830770bef7b59617db88794c0ced2675a11c6f16370bfcca65b2961dc7d1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/loveholidays/760a6144-5bff-49f1-907c-71a87aa08755/application", "externalId" : "760a6144-5bff-49f1-907c-71a87aa08755", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "TypeScript, Java, Golang, Rust, Python, SQL", "professionalSkills" : [ "Platform engineering" ], "hardSkillsList" : [ "Observability", "Web services", "REST", "HTTP", "Containers", "Cloud environments", "Testing practices", "Reliability practices", "Monitoring practices", "Application development" ], "hardSkills" : [ { "name" : "Observability", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "REST", "level" : "intermediate" }, { "name" : "HTTP", "level" : "intermediate" }, { "name" : "Containers", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "Testing practices", "level" : "intermediate" }, { "name" : "Reliability practices", "level" : "intermediate" }, { "name" : "Monitoring practices", "level" : "intermediate" }, { "name" : "Application development", "level" : "intermediate" } ], "majorSkills" : "Cloud Infrastructure, DevOps, Platform Engineering", "majorSkillsList" : [ "Cloud Infrastructure", "DevOps", "Platform Engineering" ], "coreResponsibilities" : "Design cloud infrastructure, Build cloud infrastructure, Operate cloud infrastructure, Develop self-service platforms, Develop tooling, Develop automation, Contribute AI engineering culture, Enable AI capabilities, Improve observability, Improve reliability, Improve incident response, Improve operational excellence, Build infrastructure foundations, Work cloud-native technologies, Work infrastructure code, Work CI/CD, Work platform engineering practices, Help teams adopt best practices, Support developer experience evolution, Build services at scale, Run services at scale, Implement maintainable solutions, Implement well-tested solutions", "teamCollaboration" : "Collaborating engineers; Collaborating designers; Collaborating product managers; Cross-functional teams", "domainKnowledge" : "Cloud-native technologies; Infrastructure as code; CI/CD; Platform engineering; AI capabilities; Web services; REST; HTTP; Containers; Cloud environments", "domainList" : [ "cloud-native-technologies", "infrastructure-as-code", "ci-cd", "platform-engineering", "ai-capabilities", "web-services", "rest", "http", "containers", "cloud-environments" ], "domainSpecificKnowledge" : [ "Cloud-native technologies", "Infrastructure as code", "CI/CD", "Platform engineering", "AI capabilities", "Web services", "REST", "HTTP", "Containers", "Cloud environments" ], "communicationSkills" : "Professional communication skills", "continuousLearning" : "Individualised training budget; Learn on the job; Level yourself up", "qualificationsBasic" : "Foundational understanding algorithms, Foundational understanding data structures, Basic technical knowledge observability, Familiarity web services, Familiarity REST, Familiarity HTTP, Learning containers, Learning cloud environments, Participating testing practices, Participating reliability practices, Participating monitoring practices, Gaining knowledge application development, Developing professional communication skills, Experience in team environments, Eagerness to learn, Develop expertise programming languages, Develop expertise paradigms", "qualificationsPreferred" : "Prior exposure observability beneficial, Initial experience containers, Initial experience cloud environments, Contributed past projects testing, Contributed past projects reliability, Contributed past projects monitoring, Some practical experience application development, Prior coding experience valuable", "remoteFriendly" : true, "rawDescription" : "Why Technology at loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. About the team Cloud Infrastructure is the foundation of loveholidays' AI-first technology platform, building and operating the secure, scalable, and resilient cloud systems that power our products. We provide the tooling, automation, and guardrails that enable teams to ship confidently, run reliably, and make cloud and AI capabilities self-service across the organisation. The impact you’ll have: Software Engineers at loveholidays will contribute to and develop expertise in: - Designing, building, and operating secure, scalable, and resilient cloud infrastructure. - Developing self-service platforms, tooling, and automation that help teams ship quickly and safely. - Contributing to our AI-first engineering culture by enabling reliable, governed, and scalable AI capabilities. - Improving observability, reliability, incident response, and operational excellence across our systems. - Building infrastructure foundations for modern web, mobile, data, and backend services. - Working with cloud-native technologies, infrastructure as code, CI/CD, and platform engineering practices. - Helping teams adopt best practices for security, cost efficiency, resilience, and performance. - Supporting the evolution of our developer experience so engineers can focus on delivering customer value. For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/. Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/phrasebook http://github.com/loveholidays/phrasebook - github.com/loveholidays/po-test http://github.com/loveholidays/po-test As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them. Your day-to-day: - Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 - Building and running services at scale in the cloud - Collaborating with engineers, designers, product managers within and outside of the team - Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus - Understanding the wider context of the business and designing system architectures that meet short and long term business goals. Your skillset: - Some foundational understanding of algorithms and data structures - Developing basic technical knowledge in observability, with some prior exposure being beneficial. - Familiarity with web services, REST, and HTTP. - Learning about containers and cloud environments, possibly with some initial experience. - Participating in testing, reliability, and monitoring practices, potentially having contributed to past projects. - Gaining knowledge in building and contributing to application development, from initial stages to maintenance, with some practical experience being advantageous. - Developing professional communication skills in technical discussions, with some experience in team environments. - Eagerness to learn and develop expertise in one or more programming languages and paradigms – our systems are written in TypeScript, Java, Golang, Rust, Python, SQL, and others, with prior coding experience in any language being valuable. The interview journey: 1. 1st stage interview with two engineers from the team. 2. Live pairing challenge. 3. Final stage - consisting of discussions around three key areas. Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. - The Electric Car Scheme. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.", "summaryDescription" : "Junior Software Engineer - Cloud Platform at loveholidays. Skills: Cloud Infrastructure, DevOps, Platform Engineering. Design cloud infrastructure. Build cloud infrastructure", "createdAt" : "2026-06-14T09:20:19.262", "lastUpdated" : "2026-06-15T08:48:26.117", "ingestTimestamp" : "2026-06-14T09:20:19.262", "mongoId" : "6a2cc39874d8ee00a0a09c87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Observability", "Web services", "REST", "HTTP", "Containers", "Cloud environments", "Testing practices", "Reliability practices", "Monitoring practices", "Application development", "Cloud Infrastructure", "DevOps", "Platform Engineering", "Platform engineering", "Cloud-native technologies", "Infrastructure as code", "CI/CD", "AI capabilities" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 628.9785, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ab674d8ee00a090d715", "title" : "Sr. Staff Full Stack Software Engineer – Infrastructure Platforms", "company" : "Brandwatch", "industry" : "Technology", "salary" : { "min" : 2.0E7, "max" : 3.0E7, "currency" : "HUF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Staff Full Stack Software Engineer in Budapest, Hungary, adjusted for executive seniority and the technology industry." }, "location" : "Budapest, Budapest, Hungary", "locations" : [ "Budapest", "Budapest", "Hungary", "Sofia", "Bulgaria" ], "timestamp" : "2026-06-15T09:17:45.493", "fingerprint" : "9d61bef16b56f4cedeeafcac2c8451e51f91d7e29ccdfe78d56cdb11c8b57281", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/brandwatch/jobs/4845445101", "externalId" : "4845445101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Budapest", "country" : "Hungary", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.4813896,19.1457723" } ], "locationText" : "Budapest, Hungary", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, Python, Go, Java, SQL, Docker, Kubernetes, Cloud-native design", "professionalSkills" : [ "System design", "Technical leadership", "Engineering standards", "Technical judgment", "Influence without authority" ], "hardSkillsList" : [ "Data processing", "Data ingestion", "Data analysis", "Data querying", "Containerization", "Automation" ], "hardSkills" : [ { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data querying", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Full stack development, Infrastructure platforms, Data pipelines, Backend services", "majorSkillsList" : [ "Full stack development", "Infrastructure platforms", "Data pipelines", "Backend services" ], "coreResponsibilities" : "Architect full-stack software platforms, Build full-stack software platforms, Own full-stack software platforms, Lead technical design of systems, Ingest infrastructure data, Process infrastructure data, Analyze infrastructure data, Expose infrastructure data, Develop backend services, Develop APIs, Build web interfaces, Maintain web interfaces, Design ETL pipelines, Implement ETL pipelines, Design data processing pipelines, Implement data processing pipelines, Ensure applications are containerized, Ensure production-ready applications, Act as technical authority, Set engineering best practices, Uphold testing best practices, Uphold code quality best practices, Uphold documentation best practices, Uphold operational readiness best practices, Review designs, Review code, Identify systemic issues, Reduce technical debt, Improve platform scalability, Improve developer experience", "teamCollaboration" : "Platform stakeholders; Infrastructure stakeholders; Security stakeholders; Product stakeholders", "domainKnowledge" : "Distributed systems fundamentals; Cloud-native application design; Infrastructure platforms; Enterprise infrastructure; Operational data", "domainList" : [ "distributed-systems-fundamentals", "cloud-native-application-design", "infrastructure-platforms", "enterprise-infrastructure", "operational-data" ], "domainSpecificKnowledge" : [ "Distributed systems fundamentals", "Cloud-native application design", "Infrastructure platforms", "Enterprise infrastructure", "Operational data" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Technical communication", "documentationSkills" : "Documentation best practices", "problemSolvingSkills" : "Ambiguous problem spaces", "qualificationsBasic" : "10+ years professional software engineering experience, Demonstrated ownership of large systems, Backend engineering experience, API design experience, Data-intensive services experience, Experience building data-driven applications, Proficiency in C#, Python, Go, or Java, SQL skills, Experience with relational databases, Hands-on Docker experience, Containerized application delivery experience, Solid understanding of distributed systems, Cloud-native application design experience, Experience with CI/CD pipelines, Modern software development workflows experience", "qualificationsPreferred" : "Kubernetes design and operation experience, PostgreSQL, MySQL, or similar databases familiarity, ETL pipelines experience, Analytics platforms experience, Operational data tooling experience, GCP or AWS exposure, Internal platforms building experience, Infrastructure engineering teams experience, SRE teams experience, DevOps teams experience, Platform engineering teams experience, Observability understanding, Cost optimization understanding, Reliability engineering understanding, Infrastructure automation understanding", "rawDescription" : "At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. Empower your impact at Cision. Be seen, be understood, be you. At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems. We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations. You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications. What You’ll Do • Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams. • Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale. • Develop backend services and APIs for data collection, enrichment, and querying. • Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users. • Design and implement ETL and data processing pipelines for structured and semi-structured data sources. • Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models. • Act as a technical authority on system design, performance, reliability, and maintainability. • Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy. • Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness. • Review designs and code across the team, providing clear guidance and raising the overall technical bar. • Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience. What You’ll Bring • Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems. • Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion. • Strong backend engineering experience, including API design and data-intensive services. • Experience building data-driven applications involving ingestion, transformation, and analysis. • Proficiency in one or more backend languages such as C#, Python, Go, or Java. • Strong SQL skills and experience with relational databases. • Hands-on experience with Docker and containerized application delivery. • Solid understanding of distributed systems fundamentals and cloud-native application design. • Experience working with CI/CD pipelines and modern software development workflows. • Excellent technical judgment, communication skills, and ability to influence without authority. Preferred Experience • Experience designing and operating systems on Kubernetes. • Familiarity with PostgreSQL, MySQL, or similar databases. • Experience with ETL pipelines, analytics platforms, or operational data tooling. • Exposure to cloud platforms such as GCP or AWS. • Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams. • Understanding of observability, cost optimization, reliability engineering, or infrastructure automation. Education & Experience • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. • Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems. As a global leader in PR, marketing and social media management technology and intelligence, Cision helps brands and organizations to identify, connect and engage with customers and stakeholders to drive business results. PR Newswire, a network of over 1.1 billion influencers, in-depth monitoring, analytics and its Brandwatch and Falcon.io social media platforms headline a premier suite of solutions. Cision has offices in 24 countries throughout the Americas, EMEA and APAC. For more information about Cision's award-winning solutions, including its next-gen Cision Communications Cloud®, visit www.cision.com and follow @Cision on Twitter. Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com. Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses. Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process.", "summaryDescription" : "Sr. Staff Full Stack Software Engineer – Infrastructure Platforms at Brandwatch. Skills: Full stack development, Infrastructure platforms, Data pipelines, Backend services. Architect full-stack software platforms. Build full-stack software platforms", "postedDate" : "2026-06-14T02:51:38.739", "createdAt" : "2026-06-14T02:51:38.739", "lastUpdated" : "2026-06-15T09:17:45.493", "ingestTimestamp" : "2026-06-14T02:51:38.739", "mongoId" : "6a2c6ab674d8ee00a090d715", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data processing", "Data ingestion", "Data analysis", "Data querying", "Containerization", "Automation", "Full stack development", "Infrastructure platforms", "Data pipelines", "Backend services", "System design", "Technical leadership", "Engineering standards", "Technical judgment", "Influence without authority", "Distributed systems fundamentals", "Cloud-native application design", "Enterprise infrastructure", "Operational data", "Docker", "Kubernetes" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 628.79254, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34174d8ee00a0a08d6c", "title" : "Senior Engineer, Data Infrastructure", "company" : "Angi", "industry" : "Technology", "location" : "Hybrid - Netherlands - Amsterdam", "locations" : [ "Hybrid - Netherlands - Amsterdam" ], "timestamp" : "2026-06-15T09:11:49.481", "fingerprint" : "b75ad5127eae06050b3fcefc841817fe52c20eb880d5866abf6451452164b693", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/angi/efa8ea30-71ea-46ea-9b3f-b5215f90e713/application", "externalId" : "efa8ea30-71ea-46ea-9b3f-b5215f90e713", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Amsterdam, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "lakehouse, data replication, orchestration frameworks, distributed compute, Kubernetes, Airflow, Kafka, Trino, Iceberg", "professionalSkills" : [ "Data platforms, including lakehouse architectures, data replication, and orchestration frameworks." ], "hardSkillsList" : [ "Amazon Web Services", "Kubernetes", "Terraform", "crossplane", "Pulumi", "Airflow", "Kafka", "Trino", "Iceberg" ], "softSkillsList" : [ "collaboration, communication" ], "hardSkills" : [ { "name" : "Amazon Web Services", "level" : "intermediate" }, { "name" : "Kubernetes", "level" : "intermediate" }, { "name" : "Terraform", "level" : "intermediate" }, { "name" : "crossplane", "level" : "intermediate" }, { "name" : "Pulumi", "level" : "intermediate" }, { "name" : "Airflow", "level" : "intermediate" }, { "name" : "Kafka", "level" : "intermediate" }, { "name" : "Trino", "level" : "intermediate" }, { "name" : "Iceberg", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration, communication" } ], "majorSkills" : "Data Infrastructure, Lakehouse Architecture, Kubernetes, Infrastructure as Code, Cloud Platforms", "majorSkillsList" : [ "Data Infrastructure, Lakehouse Architecture, Kubernetes, Infrastructure as Code, Cloud Platforms" ], "coreResponsibilities" : "Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute). Ensure high availability, scalability, and performance of platform services. Contribute to infrastructure architecture decisions. Partner closely with engineering, analytics, and product teams. Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows. Participate in on-call rotations and lead troubleshooting efforts. Produce clear, comprehensive documentation and operational runbooks.", "teamCollaboration" : "Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges. Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners.", "toolProficiency" : [ "Kubernetes, Terraform, crossplane, Pulumi, Airflow, Kafka, Trino, Iceberg, Claude Code, Cursor, GitHub Copilot" ], "communicationSkills" : "articulate technical concepts; engage effectively", "documentationSkills" : "documentation; operational runbooks", "problemSolvingSkills" : "distributed systems; troubleshooting", "qualificationsBasic" : "5+ years of experience in infrastructure, platform engineering, or data engineering roles. Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems. Extensive experience with end-to-end Kubernetes management. Proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi). Proven experience self-hosting and managing core infrastructure and open-source tools. Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools. Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. What You'll Do: - Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) - Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads - Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards - Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives - Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows - Participate in on-call rotations and lead troubleshooting efforts for complex production issues - Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability Who You Are: - 5+ years of experience in infrastructure, platform engineering, or data engineering roles - Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges - Strong background in infrastructure architecture within large-scale or enterprise environments - Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems - Extensive experience with end-to-end Kubernetes management, including cluster provisioning, lifecycle management, and observability - Strong proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi) to automate and manage cloud environments - Proven experience self-hosting and managing core infrastructure and open-source tools as an alternative to using commercial managed services - Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg) - Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows - Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery - Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders - Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners - Track record of producing clear, high-quality documentation and enabling others through shared knowledge - Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively Compensation & Benefits - The salary band for this position ranges from €85,000 - €115,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Engineer, Data Infrastructure at Angi. Skills: Data Infrastructure, Lakehouse Architecture, Kubernetes, Infrastructure as Code, Cloud Platforms. Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute). Ensure high availability, scalability, and performance of platform services. Contribute to infrastructure architecture decisions. Partner closely with engineering, analytics, and product teams. Drive improvements in ", "createdAt" : "2026-06-14T19:22:42.637", "lastUpdated" : "2026-06-15T09:11:49.481", "ingestTimestamp" : "2026-06-14T19:22:42.637", "mongoId" : "6a2cc34174d8ee00a0a08d6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Amazon Web Services", "Kubernetes", "Terraform", "crossplane", "Pulumi", "Airflow", "Kafka", "Trino", "Iceberg", "collaboration, communication", "Data Infrastructure, Lakehouse Architecture, Kubernetes, Infrastructure as Code, Cloud Platforms", "Data platforms, including lakehouse architectures, data replication, and orchestration frameworks.", "Kubernetes, Terraform, crossplane, Pulumi, Airflow, Kafka, Trino, Iceberg, Claude Code, Cursor, GitHub Copilot" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 626.90717, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e14c40e2acd1b99509", "title" : "Infrastructure Delivery Tech", "company" : "Amazon Corporate Services Pty Ltd", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Infrastructure Delivery Tech in Melbourne, Australia, adjusted for the technology industry and company size." }, "location" : "Melbourne, Victoria, AUS", "locations" : [ "Melbourne, Victoria, AUS" ], "timestamp" : "2026-06-15T05:54:53.311", "fingerprint" : "8f0fb6a29ef140675941962f18a2674d5427f36b40245584f02f309d4b8ceb6a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410959/apply", "externalId" : "fb158fc9-f27a-4704-b467-0ecb6c56cfc1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent diploma", "experienceMinYears" : 2, "technicalSkills" : "Linux, Unix, Bash, Python, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Terraform, CloudFormation, Ansible, Chef, Puppet, TCP/IP, DNS, HTTP, SQL, Windows Server", "professionalSkills" : [ "System design", "Troubleshooting", "Problem solving" ], "hardSkillsList" : [ "Infrastructure delivery", "Linux administration", "Scripting", "Cloud administration", "Containerization", "CI/CD implementation", "Monitoring", "Logging", "Infrastructure as code", "Configuration management", "Networking", "Security best practices", "Database administration", "Windows administration" ], "hardSkills" : [ { "name" : "Infrastructure delivery", "level" : "intermediate" }, { "name" : "Linux administration", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Cloud administration", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Logging", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Configuration management", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Windows administration", "level" : "intermediate" } ], "majorSkills" : "Infrastructure delivery, Cloud platforms, Containerization", "majorSkillsList" : [ "Infrastructure delivery", "Cloud platforms", "Containerization" ], "coreResponsibilities" : "Manage and maintain cloud infrastructure, Deploy and manage applications, Automate infrastructure provisioning and management, Monitor system performance and availability, Troubleshoot and resolve infrastructure issues, Implement and maintain CI/CD pipelines, Ensure security best practices are followed, Collaborate with development teams, Document infrastructure configurations and procedures", "teamCollaboration" : "Development teams; Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud computing; DevOps practices; Infrastructure as code; Container orchestration; CI/CD principles; System monitoring; Network protocols; Security best practices", "domainList" : [ "cloud-computing", "devops-practices", "infrastructure-as-code", "container-orchestration", "ci-cd-principles", "system-monitoring", "network-protocols", "security-best-practices" ], "domainSpecificKnowledge" : [ "Cloud computing", "DevOps practices", "Infrastructure as code", "Container orchestration", "CI/CD principles", "System monitoring", "Network protocols", "Security best practices" ], "toolProficiency" : [ "Docker", "Kubernetes", "Terraform", "CloudFormation", "Ansible", "Chef", "Puppet", "JIRA" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation; Infrastructure documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "2+ years of experience in infrastructure delivery, Experience with Linux/Unix administration, Experience with scripting languages (e.g., Bash, Python), Experience with cloud platforms (AWS, Azure, GCP), Experience with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines, Experience with monitoring and logging tools", "qualificationsPreferred" : "Experience with infrastructure as code (Terraform, CloudFormation), Experience with configuration management tools (Ansible, Chef, Puppet), Experience with networking concepts (TCP/IP, DNS, HTTP), Experience with security best practices, Experience with database administration, Experience with Windows Server administration", "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. At AWS, we are working to be the most customer-centric company on earth. To get there, we need exceptionally bright, talented, and driven people. If you would like to help us build, this is your chance to make history. The Infrastructure Delivery team is responsible for the scaling and physical deployment of new Data Center Infrastructure. We are looking for a motivated and enthusiastic Engineer to join the growing team. The ideal candidate is highly motivated individual with a willingness to learn and upskill. The candidate must be able to perform repetitive tasks and adhere to standard processes and best practices. The successful candidate will be working in a team environment and must be able to communicate and promote cross-team functionality. This position has a physical component and may require working in cramped spaces or elevated locations. Key job responsibilities · Adhere to security and safety best practices in the Data Center. · Installation and testing of copper and Fiber Optic cabling. · Basic build and troubleshooting of network devices. · Creating/attaching labels and barcodes. · Regularly lift 15kg or move objects into position. · Regularly work at heights and from ladders. · Managing inventory of related materials. · Adhering to defined escalation processes and standard operating procedures. · Work in noisy areas with hotter and colder temperatures than standard office environmental conditions. · Ability to travel within geographical work area is required, some travel outside traditional work area may be requested. * Climbing Step Platform Ladder or working from EWP. * Able to lift 15kg regularly during the day. * Demonstrate Fibre/copper background. * Understanding of cabling procedure. A day in the life A normal day involve working inside a Data Center installing network equipment and cables, managing vendors, and negotiating deadlines with program managers. You will be responsible for running multiple projects at the same time. As part of the journey, you will have mentoring, coaching and career development opportunities as you work closely with AWS Network Engineering & Network Technical Project Manager teams to ensure fast, smooth roll out of new designs and products. About the team 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. 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: - 2+ years of computer hardware troubleshooting and repair experience - 1+ years of computer networking experience - High school or equivalent diploma Preferred Qualifications: - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure 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" : "Infrastructure Delivery Tech at Amazon Corporate Services Pty Ltd. Skills: Infrastructure delivery, Cloud platforms, Containerization. Manage and maintain cloud infrastructure. Deploy and manage applications", "postedDate" : "2026-06-13T18:02:34.074", "createdAt" : "2026-06-13T18:02:34.074", "lastUpdated" : "2026-06-15T05:54:53.311", "ingestTimestamp" : "2026-06-13T18:02:34.074", "mongoId" : "69fda4e14c40e2acd1b99509", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410959/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Infrastructure delivery", "Linux administration", "Scripting", "Cloud administration", "Containerization", "CI/CD implementation", "Monitoring", "Logging", "Infrastructure as code", "Configuration management", "Networking", "Security best practices", "Database administration", "Windows administration", "Cloud platforms", "System design", "Troubleshooting", "Problem solving", "Agile methodologies", "Cloud computing", "DevOps practices", "Container orchestration", "CI/CD principles", "System monitoring", "Network protocols", "Docker", "Kubernetes", "Terraform", "CloudFormation", "Ansible", "Chef", "Puppet", "JIRA" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 624.10394, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca63b74d8ee00a09ba42b", "title" : "Software Engineer II, Cloud Infrastructure", "company" : "Brex", "industry" : "FinTech", "salary" : { "min" : 185000.0, "max" : 280000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Engineer II in São Paulo, Brazil, adjusted for the technology industry and company size." }, "location" : "São Paulo, São Paulo, Brazil", "locations" : [ "São Paulo", "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T07:13:41.895", "fingerprint" : "364a6137993ac9a6cfb595595d7c970e4f7939cf2fd1c68e5ffd228297a2675f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.brex.com/careers/8587789002?gh_jid=8587789002", "externalId" : "8587789002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Kubernetes, EKS, RDS, Postgres, Docker, Terraform, Flux, Go", "professionalSkills" : [ "Technical ownership", "Cross-functional partnership", "Operational hygiene" ], "hardSkillsList" : [ "Infrastructure automation", "Failover capabilities", "Infrastructure lifecycle management" ], "hardSkills" : [ { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Failover capabilities", "level" : "intermediate" }, { "name" : "Infrastructure lifecycle management", "level" : "intermediate" } ], "majorSkills" : "Cloud Infrastructure, Business Continuity, Disaster Recovery, Kubernetes", "majorSkillsList" : [ "Cloud Infrastructure", "Business Continuity", "Disaster Recovery", "Kubernetes" ], "coreResponsibilities" : "Maintain and evolve cloud infrastructure, Build systems that scale, Contribute to BCDR initiative, Implement multi-region infrastructure readiness, Implement automated failover capabilities, Drive technical excellence, Automate infrastructure lifecycle, Improve infrastructure lifecycle, Collaborate with product teams, Collaborate with engineering teams, Ensure adoption of new infrastructure, Support migrations, Participate in on-call rotation, Improve incident response frameworks, Improve system reliability, Improve work tracking, Improve documentation, Improve operational best practices", "teamCollaboration" : "Cross-functional teams; Across the organization; Multiple autonomous engineering teams", "domainKnowledge" : "Cloud infrastructure; Business Continuity; Disaster Recovery; Multi-region infrastructure; Automated failover; Infrastructure lifecycle; Scalable systems", "domainList" : [ "cloud-infrastructure", "business-continuity", "disaster-recovery", "multi-region-infrastructure", "automated-failover", "infrastructure-lifecycle", "scalable-systems" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Business Continuity", "Disaster Recovery", "Multi-region infrastructure", "Automated failover", "Infrastructure lifecycle", "Scalable systems" ], "toolProficiency" : [ "Terraform", "Docker", "Flux", "Go" ], "communicationSkills" : "Coordinate complex changes", "documentationSkills" : "Documentation improvement", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation, Three coordinated days in office", "qualificationsBasic" : "Proven experience with cloud infrastructure foundations, Kubernetes experience, Postgres experience, Experience with incident response, Maintaining highly available production systems, Hands-on experience with AWS services, Infrastructure-at-scale experience, Communication skills, Professional experience in software or systems engineering, Focus on building scalable systems", "qualificationsPreferred" : "Experience using Terraform, Manage complex, multi-account environments, Prior experience with BCDR planning, Multi-region rollouts experience, Disaster recovery frameworks experience, Cloud infrastructure cost optimization background, Database performance tuning background, Experience with Go", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders. What you'll do As a Software Engineer II on the Cloud Infrastructure team, you will join a highly competent, senior group of engineers responsible for the foundational AWS ecosystem that powers Brex. Your primary focus will be working on our high-priority Business Continuity and Disaster Recovery (BCDR) initiative to completion, a critical company-level priority that ensures multi-region infrastructure resilience. You will work across Kubernetes, networking, and databases to build systems that scale with speed and intention, while collaborating with teams across the entire organization to drive the adoption of modern cloud infrastructure changes. Where you'll work This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week: Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work. Responsibilities Build and Scale: Maintain and evolve Brex’s core cloud infrastructure, including Kubernetes (EKS), RDS/Postgres, and networking foundations. Execute BCDR Strategy: Contribute to the multi-year BCDR initiative by implementing multi-region infrastructure readiness and automated failover capabilities. Technical Ownership: Drive technical excellence across the stack, utilizing tools like Terraform, Docker, Flux, and Go to automate and improve infrastructure lifecycle. Cross-Functional Partnership: Collaborate with product and engineering teams to ensure seamless adoption of new infrastructure capabilities and support migrations. Incident Response: Participate in the team’s on-call rotation and contribute to improving our incident response frameworks and system reliability. Operational Hygiene: Foster a culture of technical excellence by improving work tracking, documentation, and operational best practices. Requirements Technical Foundation: Proven experience with cloud infrastructure foundations, specifically Kubernetes and Postgres. Operational Expertise: Experience with incident response and maintaining highly available production systems. Public Cloud Depth: Strong hands-on experience with AWS services and infrastructure-at-scale. Collaborative Mindset: Strong communication skills with the ability to coordinate complex changes across multiple autonomous engineering teams. Engineering Background: Professional experience in software or systems engineering, with a focus on building scalable systems. Bonus Points Infrastructure as Code: Experience using Terraform to manage complex, multi-account environments. Resiliency Engineering: Prior experience with BCDR planning, multi-region rollouts, or disaster recovery frameworks. Optimization: Background in cloud infrastructure cost optimization or database performance tuning. Language Proficiency: Experience with Go, as it is a core part of our tech stack. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.", "summaryDescription" : "Software Engineer II, Cloud Infrastructure at Brex. Skills: Cloud Infrastructure, Business Continuity, Disaster Recovery, Kubernetes. Maintain and evolve cloud infrastructure. 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"daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f0df292fd229cfe45de", "title" : "Director of Engineering, Infrastructure", "company" : "Klaviyo", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Engineering, Infrastructure in Boston, MA, adjusted for SaaS industry and company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T12:33:07.745", "fingerprint" : "bf44336977e4225f4b02ebff6a90b1d48fca44cd0f3532310e3ceb2dfa1266f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7768263003", "externalId" : "7768263003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "Compute runtimes, Storage options, Service networking, AI", "professionalSkills" : [ "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems" ], "hardSkillsList" : [ "SLOs", "SLIs", "SRE principles" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "SRE principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Infrastructure, Platform engineering, SRE, Cloud", "majorSkillsList" : [ "Infrastructure", "Platform engineering", "SRE", "Cloud" ], "coreResponsibilities" : "Define platform primitives, Create golden paths, Create decision trees, Drive initiatives reliability, Coordinate with product teams, Eliminate infrastructure bottlenecks, Establish cost frameworks, Mentor high-performing teams, Develop high-performing teams, Set clear goals, Collaborate with partners, Manage platform investments, Clarify ownership, Implement infrastructure changes, Track performance metrics, Report performance metrics, Optimize AI use, Enhance infrastructure management, Enhance development processes, Pioneer innovative workflows, Champion operational readiness, Establish SLAs, Establish SLIs, Facilitate learning culture, Facilitate experimentation culture, Deploy AI enhancements, Streamline engineering workflows, Lead incident management, Lead postmortems", "teamCollaboration" : "Industry leaders; Cross-functional partners; Product teams; Engineering teams; Security teams; Finance teams", "domainKnowledge" : "Enterprise-grade web properties; LiveSite platform", "domainList" : [ "enterprise-grade-web-properties", "livesite-platform" ], "domainSpecificKnowledge" : [ "Enterprise-grade web properties", "LiveSite platform" ], "innovationCreativity" : "Pioneering innovative workflows; Continuous learning; Experimentation with AI tools", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve reliability metrics; Achieve performance metrics; Reduce friction; Enhance developer velocity; Improve time-to-market; Increase developer satisfaction; Maximize value delivery; Align goals with business priorities; Drive strategic outcomes; Enable data-driven decision-making; Ensure performance thresholds", "qualificationsBasic" : "10+ years experience infrastructure, 5+ years managing managers, 5+ years managing senior ICs, Experience with LiveSite, Understand infrastructure requirements, Understand integration patterns, Understand operational demands", "qualificationsPreferred" : "Deep understanding of SRE principles, Proven expertise designing SLOs, Proven expertise designing SLIs, Proven expertise managing incidents, Proven expertise capacity planning, Proven expertise operational continuity", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo’s mission is to empower businesses to independently drive their growth, and the Engineering Department's contribution to this mission is crucial. As Director of Production Infrastructure, you'll helm the creation and management of a high-performance platform designed to support the rapid innovation demanded by our R&D teams. This role is all about defining the pillars of our infrastructure, compute, storage, networking, observability, and setting a robust set of principles that guide their use. In this position, you'll be entrusted with the responsibility of developing and maintaining platform primitives that empower our engineering teams to bring ideas to life seamlessly. Collaborating with industry leaders across engineering, security, and finance, your decisions will shape the infrastructure blueprint that underpins our scalable, secure, and cost-effective operations. As a leader, your mission is to foster a culture of ownership, innovation, and productivity while steering teams toward achieving critical reliability and performance metrics. Your role will span across defining clear service contracts, instituting capacity plans, and honing our developer enablement strategy to reduce friction and enhance developer velocity. How You’ll Make a Difference Lead the definition of platform primitives such as compute runtimes, storage options, and service networking, ensuring they are scalable, secure, and aligned with Klaviyo's standards for operational excellence. Create and disseminate golden paths and decision trees that simplify the technological choices for R&D teams, enhancing consistency and self-sufficiency across engineering efforts. Drive initiatives that enhance the reliability of production systems, focusing on incident prevention, transparent response protocols, and proactive capacity planning. Coordinate with product teams to identify and eliminate infrastructure bottlenecks, aiding in improving the time-to-market for new services and increasing developer satisfaction. Establish frameworks for cost-effective infrastructure management, balancing financial discipline with flexibility and efficiency to maximize value delivery. Mentor and develop high-performing teams, fostering a culture of inclusivity and ownership, while setting clear, impactful goals that align with business priorities. Collaborate with cross-functional partners to manage platform investments, clarify ownership, and safely implement infrastructure changes that drive strategic outcomes. Track and report critical performance metrics, such as system reliability, developer productivity, and infrastructure costs, enabling data-driven decision-making and accountability. Optimize the use of AI to enhance infrastructure management and development processes, pioneering innovative workflows that keep Klaviyo at the forefront of technological advancement. Champion operational readiness by establishing robust SLAs and SLIs, ensuring all infrastructure components meet defined performance thresholds conforming to Klaviyo's quality standards. Facilitate a culture of continuous learning and experimentation with AI tools, deploying enhancements that intelligently streamline engineering workflows. Lead a disciplined approach to incident management and postmortems, establishing a blameless culture of learning and innovation to minimize future disruptions. Who You Are You have over 10 years of experience in infrastructure, SRE, platform engineering, or security engineering, with at least 5 years managing managers and senior ICs, demonstrating strong leadership and team-building skills. Your leadership style fosters inclusivity and empowerment, setting high standards that inspire your teams to achieve ambitious goals aligned with Klaviyo's mission. You possess a deep understanding of SRE principles, with proven expertise in designing effective SLOs and SLIs, managing incidents, and ensuring capacity planning and operational continuity. You have experience with LiveSite (the enterprise web platform) and understand the infrastructure requirements, integration patterns, and operational demands that come with supporting enterprise-grade web properties at scale. You own the live site, you bring urgency, clear judgment, and a structured approach to production incidents, and you build teams that treat uptime and reliability as first-order concerns, not afterthoughts. You have a proven track record of standing up or strengthening LiveSite culture inside engineering orgs. You excel at simplifying complexity and creating logical clarity, using your strong communication skills to drive organizational changes across product, data, and security domains. Your decision-making is driven by outcomes, and you're comfortable prioritizing initiatives that deliver the most significant business impact, even if it means narrowing the scope. Your hands-on experience with AI makes you AI-curious, and you're eager to leverage it to drive smarter, more efficient infrastructure operations. Your technical expertise is both broad and deep, you command public cloud services, container orchestration, service meshing, data storage, and observability at a systems level, and you remain hands-on when it counts, able to roll up your sleeves and debug a complex distributed-systems problem alongside your team. You build and nurture a culture of ownership and continuous improvement, encouraging your teams to innovate and excel while maintaining a strong focus on customer value. You possess a keen ability to balance strategic thinking with tactical execution, ensuring infrastructure solutions not only meet current needs but are future-proof and scalable. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. Committed to fostering a learning environment, you continually seek ways to improve team skills, processes, and technologies to align with Klaviyo's growth and innovation objectives. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. Nice to Have Previous experience in transforming internal platforms into productized services, complete with SLAs and developer experience-focused roadmaps. Background in architecting data-centric and event-driven systems at a large scale, particularly within a high-growth environment. Established partnerships with centralized data platforms, defining clean ownership boundaries and integrating efficiently with existing workflows. Proven track record of optimizing both cost-to-serve and reliability metrics in a scaling SaaS company, driving significant impact on the bottom line. Familiarity with the challenges and opportunities characteristic of a high-growth SaaS milieu, with a focus on leveraging those to drive platform innovation and efficiency. Why This Role Matters The Director of Production Infrastructure at Klaviyo is a mission-critical role that directly influences the core foundations of our technology stack. Ensuring that our infrastructure is robust, scalable, and future-proof enables our engineering teams to accelerate product development effectively and safely, cementing Klaviyo’s position as an industry leader in empowering business growth. Your leadership will impact our ability to innovate rapidly and maintain the high standards of reliability our customers expect. By driving infrastructure improvements that reduce developer friction, enhance system reliability, and lower operational costs, you ensure Klaviyo can offer exceptional value to our clients while scaling our operations sustainably. For a top candidate, this role represents a unique opportunity to lead a team in redefining infrastructure excellence against the backdrop of a dynamic business landscape. You’ll play a pivotal role in shaping the technological trajectory of Klaviyo, working alongside passionate professionals committed to creating powerful solutions that enable our customers to achieve significant growth. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $244,000—$366,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Director of Engineering, Infrastructure at Klaviyo. Skills: Infrastructure, Platform engineering, SRE, Cloud. Define platform primitives. Create golden paths", "postedDate" : "2026-06-16T01:15:39.691", "createdAt" : "2026-06-16T01:15:39.691", "lastUpdated" : "2026-06-16T12:33:07.745", "ingestTimestamp" : "2026-06-16T01:15:39.691", "mongoId" : "6a306f0df292fd229cfe45de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "SLOs", "SLIs", "SRE principles", "Leadership", "Mentoring", "Infrastructure", "Platform engineering", "SRE", "Cloud", "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems", "Enterprise-grade web properties", "LiveSite platform" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 611.73334, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, 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"locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AWS, Azure, Kubernetes, EKS, AKS, Karpenter, Cluster Autoscaler, Terraform, GitHub Actions, Argo CD, Go, Python, TypeScript, OpenTelemetry, Prometheus, Grafana, SSO, SCIM, RBAC", "professionalSkills" : [ "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations" ], "hardSkillsList" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "VPC topology", "level" : "intermediate" }, { "name" : "VNet topology", "level" : "intermediate" }, { "name" : "Routing", "level" : "intermediate" }, { "name" : "Private networking", "level" : "intermediate" }, { "name" : "Secure ingress", "level" : "intermediate" }, { "name" : "Secure egress", "level" : "intermediate" }, { "name" : "Cluster lifecycle management", "level" : "intermediate" }, { "name" : "Autoscaling", "level" : "intermediate" }, { "name" : "Upgrade strategies", "level" : "intermediate" }, { "name" : "Rollout strategies", "level" : "intermediate" }, { "name" : "Module testing", "level" : "intermediate" }, { "name" : "Module linting", "level" : "intermediate" }, { "name" : "Dependency management", "level" : "intermediate" }, { "name" : "Policy enforcement", "level" : "intermediate" }, { "name" : "Compliance enforcement", "level" : "intermediate" }, { "name" : "Security guardrails", "level" : "intermediate" }, { "name" : "Image signing", "level" : "intermediate" }, { "name" : "SBOMs", "level" : "intermediate" }, { "name" : "SAST", "level" : "intermediate" }, { "name" : "SCA", "level" : "intermediate" }, { "name" : "Container scanning", "level" : "intermediate" }, { "name" : "Least-privilege RBAC", "level" : "intermediate" }, { "name" : "Secrets lifecycle management", "level" : "intermediate" }, { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Compliance checks", "level" : "intermediate" }, { "name" : "Operational tooling development", "level" : "intermediate" }, { "name" : "ADRs publishing", "level" : "intermediate" }, { "name" : "Client requirements translation", "level" : "intermediate" }, { "name" : "Infrastructure alignment", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure", "majorSkillsList" : [ "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure" ], "coreResponsibilities" : "Design scalable infrastructure on AWS/Azure, Manage scalable infrastructure on AWS/Azure, Design VPC/VNet topology, Manage VPC/VNet topology, Design routing, Manage routing, Design private networking, Manage private networking, Design secure ingress, Manage secure ingress, Design secure egress, Manage secure egress, Lead build of EKS/AKS clusters, Lead evolution of EKS/AKS clusters, Manage EKS/AKS cluster lifecycle, Implement autoscaling, Implement upgrades, Implement rollout strategies, Architect reusable Terraform modules, Oversee reusable Terraform modules, Implement policy-as-code, Enforce compliance, Enforce security guardrails, Design GitHub Actions pipelines, Build GitHub Actions pipelines, Design Argo CD pipelines, Build Argo CD pipelines, Integrate security stages, Integrate policy stages, Integrate testing stages, Interface with security teams, Implement image signing, Implement SBOMs, Implement SAST, Implement SCA, Implement container scanning, Manage identity and access, Manage SSO/SCIM, Manage least-privilege RBAC, Manage secrets lifecycle, Improve observability, Improve alerting, Define SLOs, Define SLIs, Automate incident detection, Automate incident response, Design automation in Go, Python, or TypeScript, Extend automation in Go, Python, or TypeScript, Influence platform roadmap, Publish ADRs, Publish reference architectures, Mentor platform engineers, Guide platform engineers, Collaborate with sales teams, Collaborate with delivery teams, Translate client requirements, Align infrastructure with timelines, Implement FinOps practices, Perform capacity planning, Track utilization metrics, Provide right-sizing recommendations", "teamCollaboration" : "Platform engineers; Sales teams; Delivery teams; Security teams; Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Cloud-native architecture; Multi-account infrastructure; Kubernetes; GitOps; Observability; Incident response; Operational resilience; FinOps; Regulated environments; Enterprise environments", "domainList" : [ "cloud-native-architecture", "multi-account-infrastructure", "kubernetes", "gitops", "observability", "incident-response", "operational-resilience", "finops", "regulated-environments", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Incident response", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments" ], "toolProficiency" : [ "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "communicationSkills" : "Technical guidance; Client requirements translation", "documentationSkills" : "ADRs publishing; Reference architectures", "continuousLearning" : "Growth trajectory", "innovationCreativity" : "Building something new; Uncharted territory", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Incident response", "qualificationsBasic" : "6+ years Platform Engineering, DevOps, or SRE, Production ownership experience, Experience leading or mentoring engineers, Deep hands-on Kubernetes (EKS/AKS), Deep hands-on Terraform at scale, Cloud fundamentals: IAM, networking, DNS, TLS, private connectivity, Proficiency with GitOps workflows, Proficiency with CI/CD pipeline design, Proven background in observability, Proven background in incident response, Proven background in operational resilience, Solid Linux systems foundation, Solid automation foundation", "qualificationsPreferred" : "Designing Terraform module registries, Designing internal IaC frameworks, Organization-level AWS/Azure governance, Infrastructure policy and compliance automation, Security tooling experience, FinOps and cost optimization, Experience in regulated environments, Experience in enterprise environments, Client facing solutions engineer role experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are seeking a Platform Architect to lead the build-out of our infrastructure platform. This is a hands-on technical leadership role: you will drive the platform forward by making key architectural decisions, setting technical direction, and building alongside the team. You will mentor and guide platform engineers while working closely with sales and delivery teams to ensure the platform supports what we are taking to market. Responsibilities Design and manage scalable, multi-account infrastructure on AWS/Azure, including VPC/VNet topology, routing, private networking, and secure ingress/egress. Lead the build and evolution of EKS/AKS clusters: lifecycle management, autoscaling (Karpenter/Cluster Autoscaler), upgrades, and rollout strategies (blue/green, canary). Architect and oversee reusable, versioned Terraform modules with strong testing, linting, and dependency management. Implement policy-as-code to enforce compliance and security guardrails. Design and build GitHub Actions / Argo CD pipelines for declarative, automated deployments. Integrate security, policy, and testing stages into every pipeline. Interface with security teams to Implement image signing, SBOMs, SAST/SCA, and container scanning. Manage identity and access through SSO/SCIM, least-privilege RBAC, and secrets lifecycle management. Improve observability and alerting using OpenTelemetry, Prometheus, and Grafana. Define SLOs/SLIs and automate incident detection and response. Design and extend automation in Go, Python, or TypeScript for infrastructure workflows, compliance checks, and operational tooling. Influence the platform roadmap, publishing ADRs and reference architectures to guide the engineering team. Mentor platform engineers through pairing, design reviews, and hands-on technical guidance. Collaborate with sales and delivery teams to translate client requirements into platform capabilities and align infrastructure with project timelines. Implement FinOps practices including capacity planning, utilization metrics, and right-sizing recommendations. Minimum Qualifications 6+ years in Platform Engineering, DevOps, or SRE roles with production ownership, including experience leading or mentoring engineers. Deep hands-on experience operating Kubernetes (EKS/AKS) and infrastructure via Terraform at scale. Strong cloud fundamentals: IAM, networking (VPCs, subnets, routing), DNS, TLS, and private connectivity. Proficiency with GitOps workflows (Argo CD, Flux) and CI/CD pipeline design. Proven background in observability, incident response, and operational resilience. Strong communication skills with the ability to collaborate across technical and non-technical teams. Ideal candidate would have experience in a client facing solutions engineer role. Solid Linux systems and automation foundation. Preferred Qualificaitons Designing Terraform module registries or internal IaC frameworks. Organization-level AWS/Azure governance (Control Tower, Landing Zones). Infrastructure policy and compliance automation (OPA, HashiCorp Sentinel). Security tooling (Cloudflare, Artifactory, SonarQube, GitHub Advanced Security). FinOps and cost optimization across multi-cloud or hybrid workloads. Experience in regulated or enterprise environments. Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Platform Architect at Future Secure AI. Skills: Platform Architecture, Infrastructure as Code, Kubernetes Management, Cloud Infrastructure. Design scalable infrastructure on AWS/Azure. Manage scalable infrastructure on AWS/Azure", "postedDate" : "2026-06-15T23:21:21.539", "createdAt" : "2026-06-15T23:21:21.539", "lastUpdated" : "2026-06-16T07:28:27.328", "ingestTimestamp" : "2026-06-15T23:21:21.539", "mongoId" : "6a30517ef292fd229cf014b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "VPC topology", "VNet topology", "Routing", "Private networking", "Secure ingress", "Secure egress", "Cluster lifecycle management", "Autoscaling", "Upgrade strategies", "Rollout strategies", "Module testing", "Module linting", "Dependency management", "Policy enforcement", "Compliance enforcement", "Security guardrails", "Image signing", "SBOMs", "SAST", "SCA", "Container scanning", "Least-privilege RBAC", "Secrets lifecycle management", "SLOs", "SLIs", "Automation scripting", "Compliance checks", "Operational tooling development", "ADRs publishing", "Client requirements translation", "Infrastructure alignment", "Cost optimization", "Leadership", "Mentoring", "Platform Architecture", "Infrastructure as Code", "Kubernetes Management", "Cloud Infrastructure", "Architectural decisions", "Technical direction", "Infrastructure automation", "Policy automation", "Deployment automation", "Security integration", "Identity management", "Observability definition", "Incident detection", "Incident response", "Infrastructure workflows", "Operational tooling", "Platform roadmap", "Reference architectures", "Capacity planning", "Utilization metrics", "Right-sizing recommendations", "Roadmap planning", "Cloud-native architecture", "Multi-account infrastructure", "Kubernetes", "GitOps", "Observability", "Operational resilience", "FinOps", "Regulated environments", "Enterprise environments", "AWS", "Azure", "EKS", "AKS", "Karpenter", "Cluster Autoscaler", "Terraform", "GitHub Actions", "Argo CD", "OpenTelemetry", "Prometheus", "Grafana", "Cloudflare", "Artifactory", "SonarQube", "GitHub Advanced Security" ], "skillCount" : 81, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 611.65485, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8174d8ee00a0975ac0", "title" : "Platform Engineer II (Cloud Security)", "company" : "WHOOP", "industry" : "Software", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-16T06:20:34.486", "fingerprint" : "afa585332cb2994b37d077cbc083c6efa4513adfca46cb603c941c186fb5e368", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/1fe86ec2-862e-40e4-9247-43fdfd67ef41/application", "externalId" : "1fe86ec2-862e-40e4-9247-43fdfd67ef41", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "Cloud platforms, CI/CD, Infrastructure as code, Containerization, Monitoring tools, Kubernetes, AWS, Terraform, Prometheus, Grafana, Datadog, Splunk, Python, Go, Bash, Security best practices", "professionalSkills" : [ "System design", "Troubleshooting", "Automation" ], "hardSkillsList" : [ "Cloud security", "Infrastructure automation", "CI/CD pipelines", "Container orchestration", "Monitoring and alerting", "Scripting" ], "hardSkills" : [ { "name" : "Cloud security", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Monitoring and alerting", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "majorSkills" : "Cloud Security, DevOps, Infrastructure as Code", "majorSkillsList" : [ "Cloud Security", "DevOps", "Infrastructure as Code" ], "coreResponsibilities" : "Design and implement cloud security solutions, Develop and maintain CI/CD pipelines, Automate infrastructure provisioning and management, Implement and manage containerized applications, Deploy and configure monitoring and alerting systems, Respond to security incidents, Collaborate with engineering teams, Ensure compliance with security policies, Stay current with cloud security trends", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Cloud security; Infrastructure as code; CI/CD", "domainList" : [ "cloud-security", "infrastructure-as-code", "ci-cd" ], "domainSpecificKnowledge" : [ "Cloud security", "Infrastructure as code", "CI/CD" ], "toolProficiency" : [ "Kubernetes", "AWS", "Terraform", "Prometheus", "Grafana", "Datadog", "Splunk" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "2+ years of experience, Experience with cloud platforms, Experience with CI/CD, Experience with infrastructure as code, Experience with containerization, Experience with monitoring tools, Experience with security best practices, Experience with scripting languages", "qualificationsPreferred" : "Experience with Kubernetes, Experience with AWS, Experience with Terraform, Experience with Prometheus, Experience with Grafana, Experience with Datadog, Experience with Splunk, Experience with Python, Experience with Go, Experience with Bash", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission. As a Platform Engineer II on the Cloud Security team, you will play a key role in building and operating the infrastructure, tooling, and guardrails that protect WHOOP’s cloud environments. You will work at the intersection of security, infrastructure, and developer experience, helping ensure that secure-by-default practices are embedded into how systems are designed, deployed, and operated. The Cloud Security team focuses on reducing risk across WHOOP’s cloud footprint by enforcing least-privilege access, strengthening IAM and secrets management, and detecting and preventing unauthorized access or lateral movement. This role is ideal for an engineer who enjoys automating security, improving developer workflows, and building scalable systems that make the secure path the easiest path. RESPONSIBILITIES: - - Design, implement, and manage scalable, secure cloud infrastructure in AWS using Infrastructure as Code (IaC) tools such as Terraform - Build and manage IAM systems, access controls, and least-privilege policies to reduce risk and limit blast radius - Implement automation and tooling to detect misconfigurations, privilege escalation risks, and anomalous behavior - Build and maintain secure, reliable, and auditable AWS and Kubernetes environments across multiple accounts and services - Improve secrets management, key rotation, and secure service-to-service authentication patterns - Collaborate with platform, product, and data science teams to deliver resilient infrastructure that enables rapid product development and member trust. - Contribute to the automation of cloud operations, from CI/CD pipelines to monitoring and alerting systems. - Develop and enforce guardrails for cloud security and compliance, including IAM, backups, logging, and configuration management. - Participate in incident response and troubleshooting for infrastructure and security events. - Participate in audits and compliance efforts by ensuring infrastructure is observable, auditable, and well-documented - Drive best practices in reliability, performance, cost optimization, and security across the platform. QUALIFICATIONS: - - 2-4 years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles - Hands-on experience with AWS services, including IAM, VPC, EC2, S3, and CloudTrail - Experience with Infrastructure as Code in production environments (Terraform preferred). - Strong understanding of cloud security and reliability principles, including least privilege, logging/monitoring, resource isolation, and disaster recovery. - Experience with containerized platforms such as Kubernetes or Amazon EKS. - Proficiency with scripting or programming languages (Python, Go, Java, or Bash). - Familiarity with CI/CD pipelines, secrets management, and automated security or reliability tooling. - Strong problem-solving skills and ability to debug complex distributed systems - Effective communication skills and ability to collaborate across teams BONUS QUALIFICATIONS: - - Experience with cloud security tooling (e.g., CSPM, CNAPP, SIEM platforms) - Experience with compliance frameworks (e.g. SOC 2, HIPAA, GDPR, SOX, and/or SaMD). - Experience implementing policy-as-code or access control frameworks - Exposure to modern edge and delivery technologies such as Cloudflare, CDN configuration, and TLS/SSL certificate management. ABOUT YOU: - - You thrive on ownership and want to shape the foundation of WHOOP’s platform. - You believe security should enable developers, not block them, and strive to build guardrails over gates - You enjoy automating manual processes and building scalable solutions to reduce risk - You are curious about how systems fail and motivated to proactively prevent issues - You value simplicity, reliability, and clarity in system design - You collaborate well across teams and communicate technical concepts clearly Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Platform Engineer II (Cloud Security) at WHOOP. Skills: Cloud Security, DevOps, Infrastructure as Code. Design and implement cloud security solutions. Develop and maintain CI/CD pipelines", "createdAt" : "2026-06-14T20:12:24.247", "lastUpdated" : "2026-06-16T06:20:34.486", "ingestTimestamp" : "2026-06-14T20:12:24.247", "mongoId" : "6a2c8c8174d8ee00a0975ac0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud security", "Infrastructure automation", "CI/CD pipelines", "Container orchestration", "Monitoring and alerting", "Scripting", "Cloud Security", "DevOps", "Infrastructure as Code", "System design", "Troubleshooting", "Automation", "Infrastructure as code", "CI/CD", "Kubernetes", "AWS", "Terraform", "Prometheus", "Grafana", "Datadog", "Splunk" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 609.96436, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305058f292fd229ceef373", "title" : "Marketing Technology Manager", "company" : "Xero", "industry" : "Marketing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the SaaS industry in Brisbane, Australia, adjusted for company size and seniority." }, "location" : "AU: Brisbane (243 Edward St)", "locations" : [ "AU: Brisbane (243 Edward St)" ], "timestamp" : "2026-06-16T10:30:44.978", "fingerprint" : "661b68fd4acc1cbafea37a797505287ea91382877aca92939ead25c50fdc4d5a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xero/697ab4f4-0d9c-48f1-9b61-2fabb2ee5b0d/application", "externalId" : "697ab4f4-0d9c-48f1-9b61-2fabb2ee5b0d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brisbane", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.4689623,153.0235009" } ], "locationText" : "Brisbane, Queensland, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Salesforce, Segment, Braze, Google Ads, DBT, Python, SQL, AI, LLM", "professionalSkills" : [ "Product management", "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations" ], "hardSkillsList" : [ "CRM", "AI", "LLM" ], "hardSkills" : [ { "name" : "CRM", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" } ], "majorSkills" : "Marketing technology, Salesforce ecosystem, Data pipelines, AI initiatives", "majorSkillsList" : [ "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI initiatives" ], "coreResponsibilities" : "Configure SaaS applications, Deliver SaaS applications, Integrate SaaS applications, Direct engineering workflows, Build lead architecture, Build routing rules, Expand customer data platform, Deliver user journeys, Deliver audiences, Deliver automated data layer, Launch AI initiatives, Unite data pipelines, Unite LLM tooling, Instrument data-sharing pipelines, Improve bidding quality", "teamCollaboration" : "Performance marketing; Data engineering; Sales teams; Data analytics; Engineering pods; Cross-functional alignment", "projectManagementSkills" : [ "Product requirement documents", "Technical roadmaps", "Feature prioritization" ], "domainKnowledge" : "CRM; Artificial intelligence; Large language models; Conversion APIs; Identifier uploads; Audience targeting; Media performance visibility", "domainList" : [ "crm", "artificial-intelligence", "large-language-models", "conversion-apis", "identifier-uploads", "audience-targeting", "media-performance-visibility" ], "domainSpecificKnowledge" : [ "CRM", "Artificial intelligence", "Large language models", "Conversion APIs", "Identifier uploads", "Audience targeting", "Media performance visibility" ], "toolProficiency" : [ "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray", "Google Ads", "DBT" ], "communicationSkills" : "Executive presentations", "documentationSkills" : "Product requirement documents", "innovationCreativity" : "Emerging technology exploration", "problemSolvingSkills" : "Solving complex problem sets", "outcomesObjectives" : "Drive measurable ROI; Deliver hyper-personalized marketing; Improve audience targeting; Enhance media performance visibility", "qualificationsBasic" : "Experience in marketing technology, Experience in sales operations, Experience in revenue operations, Experience in product management, Understanding of Salesforce, Understanding of Salesforce integration capabilities, Ability to manage technical roadmaps, Ability to set feature priorities, Ability to make high-ROI decisions, Understanding of data flows, Understanding of SaaS integrations, Interest in exploring AI, Interest in exploring LLM tools, Exceptional written communication skills, Exceptional verbal communication skills, Comfortable presenting complex technical concepts", "qualificationsPreferred" : "Experience with Segment, Experience with Braze, Experience with Google Ads, Experience with DBT, Personal projects using Python, Personal projects using SQL", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "The role / impact As a Marketing Technology Manager, you will step into a pivotal role as the internal Product Manager for our marketing technology stack, taking direct ownership of our core data pipelines, Salesforce ecosystem, and conversion event systems. This is a rare opportunity to directly guide a dedicated engineering team, empowering you to shape high-scale CRM and artificial intelligence roadmaps. Your daily work focuses on configuring, delivering, and integrating premium SaaS applications to drive measurable return on investment and deliver hyper-personalised marketing at scale. By partnering with performance marketing, data engineering, and sales teams, you will make high-impact technical choices that improve audience targeting, enhance media performance visibility, and offer clear exposure to executive leadership. The team / how they connect The Marketing Technology team sits under Performance Marketing, operating as a high-velocity internal product and engineering function that owns our global tech stack. The team brings together artificial intelligence workflow development specialists and engineering pods who collaborate seamlessly across regions to build automated campaigns, lead-routing systems, and data-sharing pipelines. You will report directly to the Head of Marketing Technology, working alongside top-performing peers in an environment defined by accountability, shared learning, and a passion for engineering excellence. The team is currently working on / Initially, you will focus on - Directing engineering workflows using comprehensive product requirement documents to build robust lead architecture and routing rules within Salesforce via LeanData. - Expanding our Segment customer data platform, utilizing personas to deliver complex user journeys, audiences, and an automated data layer connected to Clay, Unify, and Tray. - Launching flagship artificial intelligence initiatives, including our sales development representative automation project, by uniting data pipelines and large language model tooling. - Partnering with data analytics to instrument data-sharing pipelines like conversion APIs and identifier uploads to continuously improve bidding quality on third-party ad platforms. Where and how you can work We offer a flexible, collaborative work environment that prioritises digital connection and cross-functional alignment. Our team works effectively across global regions, utilising regular virtual synchronisations and team check-ins to stay aligned on global initiatives without any rigid office attendance mandates. Here are some of the things we are looking for - Your background includes experience in marketing technology, sales operations, revenue operations, or product management, with a clear understanding of Salesforce and its integration capabilities. - You bring a proven ability to manage technical roadmaps, set feature priorities, and make high-ROI decisions that guide engineering teams toward impactful solutions. - Having a strong understanding of data flows, SaaS integrations, and modern tools like Segment, Braze, Google Ads, or DBT will ensure your success. - A genuine interest in exploring and applying artificial intelligence and large language model tools within a marketing or product context drives your work. - Exceptional written and verbal communication skills are part of your toolkit, making you comfortable presenting complex technical concepts to executive leaders. - You possess a natural curiosity for emerging technology, perhaps demonstrated through personal projects using Python or SQL, alongside a passion for solving complex problem sets laterally. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.", "summaryDescription" : "Marketing Technology Manager at Xero. Skills: Marketing technology, Salesforce ecosystem, Data pipelines, AI initiatives. Configure SaaS applications. Deliver SaaS applications", "createdAt" : "2026-06-16T00:29:25.942", "lastUpdated" : "2026-06-16T10:30:44.978", "ingestTimestamp" : "2026-06-16T00:29:25.942", "mongoId" : "6a305058f292fd229ceef373", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "CRM", "AI", "LLM", "Marketing technology", "Salesforce ecosystem", "Data pipelines", "AI initiatives", "Product management", "Technical roadmaps", "Feature prioritization", "ROI decisions", "Data flows", "SaaS integrations", "Product requirement documents", "Artificial intelligence", "Large language models", "Conversion APIs", "Identifier uploads", "Audience targeting", "Media performance visibility", "Salesforce", "LeanData", "Segment", "Clay", "Unify", "Tray", "Google Ads", "DBT" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 609.643, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055b3f292fd229cf20c3f", "title" : "Platform Engineer", "company" : "incident.io", "industry" : "Product Development", "salary" : { "min" : 110000.0, "max" : 200000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T10:11:52.702", "fingerprint" : "73cdc9fd21c77df297d686ed0d240f4ff6f9efde4b899b3afa19205cee1ce74c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/incident/26af5e13-edee-41c3-9019-f886f404cd59/application", "externalId" : "26af5e13-edee-41c3-9019-f886f404cd59", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Terraform, CI/CD, Google Cloud Platform, GCP", "professionalSkills" : [ "Infrastructure design", "Tooling design", "System scaling", "Developer experience", "Reliability engineering", "Automation" ], "hardSkillsList" : [ "Infrastructure management", "Deployment systems", "Observability" ], "hardSkills" : [ { "name" : "Infrastructure management", "level" : "intermediate" }, { "name" : "Deployment systems", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" } ], "majorSkills" : "Infrastructure as code, CI/CD pipelines, Cloud platform management", "majorSkillsList" : [ "Infrastructure as code", "CI/CD pipelines", "Cloud platform management" ], "coreResponsibilities" : "Design infrastructure, Build infrastructure, Maintain infrastructure, Enable fast product delivery, Enable reliable product delivery, Enable secure product delivery, Improve CI/CD pipelines, Maintain CI/CD pipelines, Streamline deployments, Increase deployment reliability, Contribute to infrastructure reliability, Ensure systems designed for resilience, Ensure systems designed for growth, Collaborate with product engineers, Improve developer experience, Support smooth delivery processes, Identify improvements to deployment systems, Implement improvements to deployment systems, Identify improvements to observability, Implement improvements to observability, Identify improvements to automation, Implement improvements to automation", "teamCollaboration" : "Collaborate with product engineers; Work with engineers across teams", "domainKnowledge" : "AI incident response; On-call management; Incident response; AI SRE; Status pages", "domainList" : [ "ai-incident-response", "on-call-management", "incident-response", "ai-sre", "status-pages" ], "domainSpecificKnowledge" : [ "AI incident response", "On-call management", "Incident response", "AI SRE", "Status pages" ], "toolProficiency" : [ "Terraform", "CI/CD systems" ], "continuousLearning" : "Personal development budget", "problemSolvingSkills" : "Problem-solving; Reliability focus; Scalability focus; Performance focus", "qualificationsBasic" : "Deep technical expertise in infrastructure and tooling, Terraform experience, CI/CD systems experience, Deployment pipelines experience, Hands-on experience building and maintaining infrastructure, Experience working with Google Cloud Platform (GCP), Problem-solving skills", "qualificationsPreferred" : "Experience building and maintaining infrastructure at scale", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT INCIDENT.IO http://incident.ioincident.io incident.io http://incident.ioincident.io is the leading AI incident response platform, built to help teams dramatically reduce incident response time and improve reliability. We bring together on-call, incident response, AI SRE, and status pages in a single platform, giving teams everything they need to respond quickly, reduce downtime, and keep customers in the loop. Since launching in 2021, we’ve helped over 1,500 companies, including Netflix https://netflix.com/, Airbnb https://www.airbnb.co.uk/, and Block https://block.xyz/, run more than 500,000 incidents. Every month, tens of thousands of responders across Engineering, Product, and Support use incident.io http://incident.io to restore services faster, stay aligned under pressure, and focus on building what matters. We’re a fast-growing, highly ambitious team that cares deeply about our customers, product quality, and making it magic. We’ve raised $100M from Index Ventures https://www.indexventures.com/, Insight Partners https://www.insightpartners.com/, and Point Nine, https://www.pointnine.com/ alongside founders and executives from world-class technology companies. THE TEAM Our Platform Engineers are the people behind the curtain making sure everything runs smoothly. They own the infrastructure, deployment systems, and CI/CD pipelines that keep our product engineers moving fast without breaking things. If product engineers are the chefs, the platform team is the kitchen; designing, maintaining, and scaling the tools that make everything possible. The current team consists of two highly capable engineers. As we grow, this role will play a key part in building and maintaining infrastructure to support future scaling, with a strong focus on reliability, scalability, and developer experience. Our stack includes Terraform for infrastructure as code, deployment systems built around modern CI/CD practices, and integrations with Google Cloud Platform. WHAT YOU’LL BE DOING: - Designing, building, and maintaining infrastructure that enables fast, reliable, and secure product delivery. - Improving and maintaining CI/CD pipelines to streamline deployments and increase reliability. - Contributing to infrastructure reliability and ensuring systems are designed for resilience and growth. - Collaborating with product engineers to improve developer experience and support smooth delivery processes. - Identifying and implementing improvements to deployment systems, observability, and automation. WHAT EXPERIENCE YOU NEED TO BE SUCCESSFUL: - Deep technical expertise in infrastructure and tooling, including Terraform, CI/CD systems, and deployment pipelines. - Hands-on experience building and maintaining infrastructure that supports high-performing engineering teams at scale. - Experience working with cloud platforms such as Google Cloud Platform (GCP). - Strong problem-solving skills with a focus on reliability, scalability, and performance. - Ability to work collaboratively with engineers across teams to improve infrastructure and developer workflows. WHAT WE OFFER: We’re building a place where great people can do their best work—and that means looking after you and your family with benefits that support health and personal growth. - Market leading private medical insurance - Generous parental leave - First Friday of the month off - Generous annual leave/PTO allowance - Competitive salary and equity - Remote working and personal development budget - Enhanced pension/401k", "summaryDescription" : "Platform Engineer at incident.io. Skills: Infrastructure as code, CI/CD pipelines, Cloud platform management. Design infrastructure. Build infrastructure", "createdAt" : "2026-06-16T00:31:40.016", "lastUpdated" : "2026-06-16T10:11:52.702", "ingestTimestamp" : "2026-06-16T00:31:40.016", "mongoId" : "6a3055b3f292fd229cf20c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Infrastructure management", "Deployment systems", "Observability", "Infrastructure as code", "CI/CD pipelines", "Cloud platform management", "Infrastructure design", "Tooling design", "System scaling", "Developer experience", "Reliability engineering", "Automation", "AI incident response", "On-call management", "Incident response", "AI SRE", "Status pages", "Terraform", "CI/CD systems" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 609.27814, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 17690, "totalPages" : 354, "hasNext" : true, "hasPrevious" : false } }

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