{"id":1206639,"url":"https://alion.io/job/lambda-senior-software-engineer-core-cloud-platform-2","title":"Senior Software Engineer - Core Cloud Platform","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":346000,"currency":"USD","period":"year","gross":null,"usd_annual":346000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"HPC","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-24T22:50:27Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T03:36:00Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\nIf you'd like to build the world's best AI cloud, join us.\n*Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nAbout the Role\nAs a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. Our teams own platform capabilities across compute control planes, managed Kubernetes, cloud APIs, identity and access, usage metering and billing, capacity and orchestration, reliability, and developer-facing infrastructure.\nYou will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be full cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement.\nThis role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries. Senior engineers lead complex work within a team or domain; Staff engineers additionally shape cross-team architecture and make other teams more effective.\nWhat You’ll Do\nDesign, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud.\n\nSolve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management.\n\nOwn the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.\n\nImprove system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude.\n\nTurn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops.\n\nWork across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.\n\nUse AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.\n\nContribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.\n\nWhat we’re looking for\n7 or more years of professional software engineering experience, or equivalent evidence of impact building production systems.\n\nDepth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best. We look for someone who can reason about concurrency, error handling, and testing in that language, not someone who has used it.\n\nExperience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.\n\nPractical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production.\n\nA track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement.\n\nProven track record of aligning cross functional partners and gaining consensus around decisions and tradeoffs.\n\nNice to Have\n2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or a comparable cloud platform.\n\nExperience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems.\n\nDepth in one or more cloud infrastructure or platform domains, such as compute, storage, networking, identity and access, developer platforms, container orchestration, usage metering and billing, databases, or fleet management.\n\nExperience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code.\n\nExperience designing highly available, multi-region, or rapidly scaling distributed systems.\n\nFamiliarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads.\n\nSalary Range Information\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.\nAbout Lambda\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\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.","description_format":"text","description_chars":6144,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-25T00:24:20Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":44,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":{"stated_usd_annual":346000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-senior-software-engineer-core-cloud-platform-2","json_url":"https://alion.io/job/lambda-senior-software-engineer-core-cloud-platform-2.json","meta":{"generated_at":"2026-09-28T04:52:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3181,"day_limit":5000,"remaining_today":1819,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}