Senior AI Cloud Automation Engineer

Lambda Inc.; Bellevue (WA); Hybrid; USD 180,000 - 275,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Wellness and commuter stipends

401k Plan with 2% company match (USA)

Job summary

Lambda Inc. in Bellevue and San Francisco is seeking a senior software engineer to design, build, and operate automation for the network lifecycle and deployment in a GPU cluster environment.

You will create provisioning systems, APIs, and pipelines, own on-call rotations, and work with cross-functional teams to improve reliability and scale. Strong Linux and networking knowledge, plus distributed systems experience, are required.

Qualifications

• 6+ years of professional software engineering experience building and operating production systems.
• Write production-quality code, with deep expertise in multiple languages.
• Have built automation or infrastructure tooling used by other engineers, such as provisioning systems, deployment pipelines, workflow engines, or internal APIs
• Have a solid grasp of distributed systems design, including API design, data modeling, idempotency, and handling partial failures
• Follow strong engineering practices: code review, automated testing, CI/CD, and git-based workflows
• Are comfortable on the Linux command line and understand core networking concepts such as TCP/IP, DNS, DHCP, VLANs, and IP routing
• Have led technical projects end to end, from design doc through production rollout, and mentored other engineers along the way
• Communicate clearly with software engineers, network engineers, and operations teams, and can turn operational pain points into software requirements

Responsibilities

• Design, build, and operate the software that automates Lambda's network lifecycle, from data center build-out and device provisioning through day-2 operations
• Build provisioning and zero-touch deployment systems that take network devices for new GPU clusters from racked to production-ready with minimal manual work
• Develop pipelines that generate, validate, and deploy network configuration as code, with automated testing, staged rollouts, and safe rollback
• Build capacity planning tools that combine inventory, topology, and utilization data to forecast port, bandwidth, optics, and IP address needs as Lambda's footprint grows
• Keep intended and live network state in sync by integrating automation with Lambda's source-of-truth, inventory, and IPAM systems
• Create APIs, services, and CLIs that network engineers and other internal teams use to request, change, and audit network resources
• Instrument the systems you own with metrics, logging, and alerting, and use that data to improve their reliability and speed
• Partner with Network Engineering, Data Center Operations, and platform teams to turn manual runbooks into reliable, self-service automation
• Participate in the on-call rotation for the automation systems and tooling your team owns

Skills

Software engineering

Distributed systems

CI/CD

Linux

Networking concepts

Mentoring

Communication

Tools

Ansible

Nornir

Netmiko

NAPALM

Terraform

Kubernetes

Job description

Lambda Inc. in Bellevue and San Francisco is seeking a senior software engineer to design, build, and operate automation for the network lifecycle and deployment in a GPU cluster environment.

You will create provisioning systems, APIs, and pipelines, own on-call rotations, and work with cross-functional teams to improve reliability and scale. Strong Linux and networking knowledge, plus distributed systems experience, are required.