Software Engineer - Operations (Senior)

San Francisco Office

Lambda

The GPU Cloud built for AI developers. Featuring on-demand & reserved cloud NVIDIA H100, NVIDIA H200 and NVIDIA Blackwell GPUs for AI training & inference.

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In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.


If you'd like to build the world's best deep learning cloud, join us. 


*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


Overview
We’re looking for a well-rounded engineer who can straddle both DevOps and Software Engineering. You’ll join the Operations team to design and build software solutions that automate data center operations, streamline customer support workflows, and integrate tooling within our broader infrastructure. This role requires hands-on experience with modern backend development and DevOps practices. You’ll have the chance to work on everything from backend APIs to infrastructure automation and beyond.

What You’ll Do

  • Architect & Develop Software: Design, build, and maintain software and APIs (e.g., Python/FastAPI/Django, TypeScript/React) to automate operational workflows.

  • Infrastructure & Tooling: Create and manage CI/CD pipelines, implement monitoring/alerting (Datadog, Prometheus, Grafana), and integrate tools like NetBox, Jira, or Terraform.

  • Process & Workflow Automation: Identify manual bottlenecks in data center operations or customer support processes, then create solutions—from dashboards to auto-remediation tools.

  • Collaboration: Work with cross-functional teams to understand requirements, design solutions, and deliver features incrementally.

  • Mentorship & Leadership: Act as a technical leader/mentor to DevOps or Software Engineers on the team, guiding best practices and high-quality code.

What We’re Looking For

  • Hybrid Expertise: 5+ years of combined DevOps and Software Engineering experience.

  • Backend Focus: Deep experience building APIs from the ground up, with frameworks like FastAPI or Django.

  • ORM & Database Experience: Proficiency working with relational databases (e.g., Postgres) and ORMs.

  • DevOps Skill Set: Comfortable with Kubernetes, Terraform, CI/CD tools, and monitoring solutions; proven history of automating infrastructure tasks and workflows.

  • Hands-On Programming: Strong proficiency in Python, with some exposure to TypeScript/React for front-end needs.

  • Ownership & Accountability: Demonstrated ability to plan, execute, and deliver complex projects in an agile, outcome-focused environment.

  • Commitment & Focus on Delivering End User Outcomes: Demonstrated history of delivering results for end users and improvements in efficiency, not just backend / orchestration environments.

Nice To Haves

  • Machine Learning Exposure: Familiarity with AI-driven workflows or ML frameworks, as we see this being increasingly important.

  • Ops Tooling: Experience integrating with or automating NetBox, Zendesk, SalesForce, and Atlassian products.

  • Leadership Experience: Comfort leading small teams or mentoring junior engineers.

  • AWS Experience: Background in AWS services for deployment and infrastructure.

Why Join Us?

  • Impactful Work: Help shape the automation strategy for data center operations and customer support.

  • Startup Culture: We value ownership, low-ego collaboration, and a “get it done” mindset.

  • Growth & Mentorship: Opportunity to lead initiatives, mentor others, and grow your skill set across the entire stack.

If you’re excited about bridging the worlds of software development and DevOps to drive operational excellence, we’d love to hear from you!

Salary Range Information 

Based on market data and other factors, the annual salary range for this position is $171,000 to $246,000. 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.

About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Commuter/Work from home stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda 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.

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Category: Engineering Jobs

Tags: Agile APIs AWS CI/CD Deep Learning DevOps Django Engineering FastAPI GPU Grafana Jira Kubernetes Lambda Machine Learning NeurIPS Pipelines PostgreSQL Python RDBMS React Research Salesforce Terraform TypeScript

Perks/benefits: 401(k) matching Career development Conferences Equity / stock options Flex hours Flex vacation Health care Home office stipend Startup environment

Regions: Remote/Anywhere North America
Country: United States

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