{"schemaVersion":"jobsearcher.job.v1","id":"48ec07963dc0eae3194caaae","url":"https://jobsearcher.com/jobs/48ec07963dc0eae3194caaae","canonicalUrl":"https://jobsearcher.com/jobs/48ec07963dc0eae3194caaae","title":"Senior Site Reliability Engineer - Storage","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nLambda's Storage Engineering team is the backbone behind our world-class storage offerings, operating at a scale seldom seen in today's markets. We own the full spectrum of Lambda's data platform services—from low-level storage systems to the APIs and tooling our customers build on every day.\n\nOur work directly powers some of the most demanding compute workloads in the industry, which means reliability and performance aren't just goals—they're the baseline. We're looking for engineers who want to solve problems at scale, own critical systems end to end, and help shape the future of infrastructure for AI and beyond\n\nWhat You’ll Do\n\nOwn the reliability, performance, and capacity health of Lambda's production storage fleet across all data centers, operating behind Lambda's own software-defined data plane.\n\nBuild and maintain monitoring, dashboards, and alerting for storage performance, capacity, and hardware failures.\n\nInvestigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling — from a single flapping NIC to a cluster-wide rebuild.\n\nAutomate ticketing, escalation, and incident-response workflows so the team spends less time on repetitive triage and more time on root cause.\n\nDesign and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.\n\nImplement CI/CD pipelines for storage automation and tooling.\n\nPartner with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.\n\nWork with hardware and networking teams to diagnose low-level I/O and network issues — NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing — that surface as storage-layer symptoms.\n\nParticipate in an on-call rotation supporting Lambda's storage fleet, with a focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.\n\nYou Have\n\n5+ years of experience operating Linux systems in production or HPC environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).\n\nHands-on experience operating Software-Defined Storage (SDS) platforms at scale, including integrating with their management and data-plane APIs.\n\nStrong incident-response instincts: comfortable owning a production storage incident end to end, from first alert through root cause to postmortem.\n\nWorking experience with monitoring and logging platforms such as Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic — including building dashboards and alert/pager routing for multiple audiences.\n\nWorking experience with Kubernetes (GitOps tooling such as ArgoCD, Helm/Kustomize) and hands-on troubleshooting.\n\nWorking experience with CI/CD tooling (GitHub Actions, Jenkins, BuildKite), containerization (Docker/Podman), and systems programming in Python or Go.\n\nWorking experience with Infrastructure as Code (Terraform, Ansible).\n\nSolid understanding of core storage protocols across file (NFS, SMB), object (S3), block (NVMe-oF/TCP), and structured (vector DB, SQL) storage.\n\nNice to Have\n\nExperience with cutting-edge software-defined storage solutions such as VAST or Weka.\n\nEnterprise storage expertise in solutions such as NetApp, Dell PowerScale, GPFS, or Lustre.\n\nExperience writing or operating Kubernetes CSI drivers.\n\nExperience with SR-IOV and virtualization (KVM/QEMU).\n\nExperience with GPUDirect Storage, RDMA, InfiniBand, or RoCE networking.\n\nFamiliarity with NIC-level diagnostics (ethtool, mlxlink) and fleet-wide operations tooling (clush or similar).\n\nContributions to open-source storage projects.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $267K - $356K","company":"Lambda","rawCompany":"lambda","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:45:00.387Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Site Reliability Engineer - Storage","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nLambda's Storage Engineering team is the backbone behind our world-class storage offerings, operating at a scale seldom seen in today's markets. We own the full spectrum of Lambda's data platform services—from low-level storage systems to the APIs and tooling our customers build on every day.\n\nOur work directly powers some of the most demanding compute workloads in the industry, which means reliability and performance aren't just goals—they're the baseline. We're looking for engineers who want to solve problems at scale, own critical systems end to end, and help shape the future of infrastructure for AI and beyond\n\nWhat You’ll Do\n\nOwn the reliability, performance, and capacity health of Lambda's production storage fleet across all data centers, operating behind Lambda's own software-defined data plane.\n\nBuild and maintain monitoring, dashboards, and alerting for storage performance, capacity, and hardware failures.\n\nInvestigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling — from a single flapping NIC to a cluster-wide rebuild.\n\nAutomate ticketing, escalation, and incident-response workflows so the team spends less time on repetitive triage and more time on root cause.\n\nDesign and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.\n\nImplement CI/CD pipelines for storage automation and tooling.\n\nPartner with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.\n\nWork with hardware and networking teams to diagnose low-level I/O and network issues — NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing — that surface as storage-layer symptoms.\n\nParticipate in an on-call rotation supporting Lambda's storage fleet, with a focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.\n\nYou Have\n\n5+ years of experience operating Linux systems in production or HPC environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).\n\nHands-on experience operating Software-Defined Storage (SDS) platforms at scale, including integrating with their management and data-plane APIs.\n\nStrong incident-response instincts: comfortable owning a production storage incident end to end, from first alert through root cause to postmortem.\n\nWorking experience with monitoring and logging platforms such as Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic — including building dashboards and alert/pager routing for multiple audiences.\n\nWorking experience with Kubernetes (GitOps tooling such as ArgoCD, Helm/Kustomize) and hands-on troubleshooting.\n\nWorking experience with CI/CD tooling (GitHub Actions, Jenkins, BuildKite), containerization (Docker/Podman), and systems programming in Python or Go.\n\nWorking experience with Infrastructure as Code (Terraform, Ansible).\n\nSolid understanding of core storage protocols across file (NFS, SMB), object (S3), block (NVMe-oF/TCP), and structured (vector DB, SQL) storage.\n\nNice to Have\n\nExperience with cutting-edge software-defined storage solutions such as VAST or Weka.\n\nEnterprise storage expertise in solutions such as NetApp, Dell PowerScale, GPFS, or Lustre.\n\nExperience writing or operating Kubernetes CSI drivers.\n\nExperience with SR-IOV and virtualization (KVM/QEMU).\n\nExperience with GPUDirect Storage, RDMA, InfiniBand, or RoCE networking.\n\nFamiliarity with NIC-level diagnostics (ethtool, mlxlink) and fleet-wide operations tooling (clush or similar).\n\nContributions to open-source storage projects.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $267K - $356K","datePosted":"2026-08-14T14:45:00.387Z","dateModified":"2026-08-14T14:45:00.387Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"48ec07963dc0eae3194caaae"},"url":"https://jobsearcher.com/jobs/48ec07963dc0eae3194caaae"}}