Software Engineer - Data Center Tooling

Lambda•San Francisco, CA

1d•$230,000 - $340,000•Hybrid

About The Position

Lambda is hiring a Software Engineer to build and own systems that digitally capture physical datacenter hardware and keep host and rack state accurate in the inventory source of truth. The role designs systems to resolve conflicts and establish precedence among vendor manifests, on-site observations, and system-observed telemetry, and builds validation tooling to catch inventory errors before they propagate. The engineer will design attestation and constraint systems to validate physical topology, cabling, rack composition, and containment against intended logical configurations at scale. They will lead technical design for rack- and asset-level scanning workflows, including provisional and verified data states, data provenance tagging and versioning, and safe rollout of lower-friction scanning modes. This role partners with DC Operations, Engineering, and vendors to determine what physical data must be captured, when, and by whom, and to align on where automation should replace manual reconciliation. The engineer monitors production health of capture and validation pipelines, maintains SLAs, and drives resolution when physical and logical state diverge. The position requires working from Lambda’s San Francisco, San Jose, or Bellevue office four days per week; Tuesday is currently the designated work-from-home day.

Requirements

At least 5 years of engineering experience.
Fluency in Python, Go, or a similar language; Python or Go fluency is listed as a must-have.
Comfort with APIs, distributed systems, and automation pipelines.
Experience owning production systems with real SLAs.
Ability to lead technical design for medium-to-large features, including clarifying an ambiguous problem, writing a design document, driving alignment, and shipping.
Experience working cross-functionally and influencing technical decisions beyond the immediate team.
Experience mentoring peers.
Experience with APIs, asynchronous workloads, job schedulers, and task queues.
Knowledge of React or a similar JavaScript frontend.
Knowledge of PostgreSQL or a similar database.
Experience deploying applications on Kubernetes.
Experience developing mission-critical user interfaces.
Comfort with data and ETL pipelines.

Nice To Haves

Mobile app development experience.
Inventory management experience.
Experience with datacenters and bare metal.
Experience with network source-of-truth systems or DCIM tooling.
Experience in the machine learning or AI infrastructure industry.

Responsibilities

Build and own systems that digitally capture Lambda’s physical datacenter hardware and keep physical host and rack state accurate in the inventory source of truth.
Design and implement conflict-resolution and precedence logic across vendor manifests, on-site observations, and system-observed telemetry.
Build validation tooling to catch inventory errors before they propagate downstream.
Design attestation and constraint systems that validate physical topology, cabling, rack composition, and containment against intended logical configuration at scale.
Lead technical design of rack- and asset-level scanning workflows, including provisional-versus-verified data states, data-provenance tagging and versioning, and rollout of reduced-friction scanning modes.
Partner with DC Operations, Engineering, and vendors to define what physical data must be captured, when, and by whom, and drive alignment on replacing manual reconciliation with automation where appropriate.
Monitor production health of capture and validation pipelines, hold SLAs, and drive resolution when physical and logical state drifts.
Lead technical design for medium-to-large features by clarifying ambiguous problems, writing design documents, driving alignment, and shipping solutions.
Mentor peers and contribute to improving systems and teammates.