Senior Software Engineer (Core Cloud Platform)

• As a Senior Software Engineer on Lambda’s Core Cloud Platform team, you will build the control-plane systems that power Lambda’s GPU cloud
• The team owns core platform capabilities across compute lifecycle, bare metal orchestration, maintenance actions, deployment readiness, reliability, and operational tooling
• You will work on systems that turn physical GPU infrastructure into reliable, customer-facing cloud capacity: APIs, workflows, orchestration layers, schedulers, and operational surfaces for instance lifecycle, host reclaim, validation, maintenance, and safe regional deployments
• Build and operate core cloud platform services for compute lifecycle, bare metal hosts, capacity, placement, and maintenance workflows
• Design reliable APIs, backend services, state machines, and orchestration systems that power Lambda’s GPU cloud
• Work on bare metal lifecycle systems including launch, terminate, restart/reboot, host reclaim, validation, quarantine, and return-to-pool workflows
• Improve deployment, observability, testing, alerting, runbooks, and operational readiness for business-critical control-plane services
• Debug complex production issues across distributed services, infrastructure dependencies, networking, and cloud workflows
• Partner with infrastructure, networking, fleet, security, support, and product teams to define cross-system contracts and deliver end-to-end cloud capabilities
• Contribute to architecture, design docs, code reviews, incident follow-through, and mentoring across the team

Benefits

• Health, dental vision
• 401k match
• 5 sick days and 12 paid holidays
• Flexible PTO
• Paid parental, medical, and caregiver leave- This role is a strong fit for engineers who enjoy distributed systems, cloud infrastructure, operational excellence, and working close to the hardware/software boundary
• Understand reliability fundamentals: fault tolerance, idempotency, retries, state machines, failure handling, and production debugging
• Are strong in Python, Go, or a similar backend/system language
• Have owned production services, participated in on-call, and improved systems based on operational learnings
• Have experience designing and operating APIs, workflow engines, schedulers, orchestration services, or other distributed systems
• Bachelor’s degree or equivalent working experience
• Care about testability, CI/CD, observability, metrics, logging, alerting, and supportable operations
• Communicate clearly across engineering, product, support, infrastructure teams, and leadership
• Can take ambiguous infrastructure problems and drive them to clear designs, implementation plans, and production outcomes
• Have 6+ years of professional software engineering experience building production backend or distributed systems
• Are comfortable with Linux, containers, Kubernetes, infrastructure automation, and service deployment patterns
• Have experience with cloud or cloud-like infrastructure primitives such as compute, networking, storage, capacity management, identity, or fleet operations
• Experience building cloud control planes, compute platforms, schedulers, or infrastructure orchestration systems
• Experience with bare metal, GPU infrastructure, HPC, Kubernetes, Slurm, or large-scale AI/ML infrastructure
• Experience with host lifecycle, provisioning, validation, firmware, BMC/Redfish, fleet management, or maintenance workflows
• Familiarity with Temporal, Airflow, event-driven systems, or durable workflow orchestration
• Networking experience with VPCs, firewalls, SDN, InfiniBand, routing, or distributed systems networking
• Security-minded engineering experience, including identity, authorization, audit logging, attestation, or tenant isolation
• Enjoy building foundational cloud systems where correctness, reliability, and operational clarity matter
• Communicate clearly and proactively, especially when risks, dependencies, or tradeoffs are unclear
• Want to help build the cloud platform layer for large-scale AI infrastructure
• Care deeply about production behavior, not just code completion
• Can break down ambiguous platform problems into concrete APIs, workflows, contracts, and implementation plans
• Move fast while maintaining high standards for reliability, testability, and supportability
• Are comfortable working across product, infrastructure, fleet, networking, security, and support boundaries- To keep your interview experience seamless and distraction-free, we use an AI notetaker provided by Ashby, Inc. to record and transcribe our interviews. This helps interviewers focus fully on the conversation and ensures your responses are captured accurately
• The recording will be used only by Lambda’s hiring team for evaluation purposes. If you would prefer not to be recorded, you can opt out. Opting out will not impact your candidacy in any way