Senior Site Reliability Engineer - Core Applications

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.

What You’ll Do

• Design and implement full-stack monitoring solutions that provide visibility from the browser to the database

• Create robust CI/CD pipelines for reliable deployments across frontend and backend services

• Develop and maintain API gateway configurations, rate limiting, and API versioning strategies

• Implement SLIs, SLOs, and error budgets that reflect the complete customer experience

• Architect resilient application patterns including circuit breakers, retries, and graceful degradation across the stack

• Build and optimize caching strategies at multiple levels (browser, CDN, API, database)

• Collaborate with development teams to establish full-stack performance benchmarks and testing methodologies

• Create runbooks and automated remediation for common failure scenarios

• Lead incident response for customer-facing application issues and conduct thorough post-mortems

• Optimize resource utilization across web servers, application servers, and database tiers

• Design secure authentication flows and session management with high availability requirements

• Build in automation and auditing to ensure compliance and improve efficiency and productivity

• Implement and integrate logging and metrics across platforms such as Datadog, Prometheus, OpenTelemetry, Grafana, SumoLogic, etc

You

• 7+ years of experience in Site Reliability Engineering or DevOps roles

• Strong understanding of modern web application architectures, from frontend frameworks to backend APIs

• Experience with both React and Python frameworks like Django and FastAPI

• Knowledge of database performance tuning and query optimization

• Experience implementing and troubleshooting RESTful APIs and microservices

• Proficiency with Infrastructure as Code (Terraform) 

• Proficiency with CI/CD pipelines (Argo)

• Understanding of web application security across the stack (XSS, CSRF, SQL injection, etc.)

• Experience with cloud platforms (AWS, GCP, Azure) and their web service offerings

• Knowledge of containerization and orchestration technologies (Docker, Kubernetes)

• Passionate about data-driven decision making, dashboards, runbooks, and operational efficiency

Nice to Have

• Knowledge of event-driven architectures and message queuing systems

• Experience implementing distributed tracing across microservices

• Background in implementing API gateways and service meshes

• Experience with WebSockets and real-time applications

• Familiarity with serverless architectures and function-as-a-service

• Experience with performance testing tools and methodologies

• Background in chaos engineering or similar reliability testing methodologies

• Understanding of compliance frameworks (SOC 2, ISO 27001, etc.)

Salary Range Information 

Based on market data and other factors, the annual salary range for this position is $245,000 - $385,000. 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.