Currently observed
Senior Backend Engineer
LiteLLM · San Francisco
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Senior Backend EngineerLiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Senior Backend Engineer to help us build rock-solid guardrails and observability tooling at scale.About The RoleYou’ll focus on owning our guardrails and logging world-class. You will be in charge of the backend code that ensures all guardrail calls are consistently logged, errors are surfaced to users (not silently swallowed), and our observability instrumentation works for real-world, high-volume traffic. Your attention to detail in areas like latency metrics, logging traceability, and backend guardrail registration will directly impact user trust in our security and compliance features.ResponsibilitiesBuild and scale our product, ensuring performance, reliability, and continuous improvement.Ensure all guardrail and policy enforcement calls (e.g., applyguardrail) are properly logged and traceable through our SpendLogs and relevant database tablesBuild and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / AgentsIdentify and fix areas where silent failures occur in guardrail creation, registration, and policy application—ensuring robust error handling and transparency to end usersWork with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systemsEnhance observability integrations to work for 1B+ requests/mo., with minimal latency overhead and no memory leaks (e.g. due to cardinality of Prometheus metrics) Collaborate cross-functionally on backend engineering priorities (performance, reliability, security)What We’re Looking ForBachelor’s or Master’s in Computer Science or related field1+ years of experience with Python and backend frameworks (e.g. FastAPI, Flask)Understanding of logging best practices, error handling, and secure backend developmentExposure to monitoring, logging, or metrics platforms (Datadog, Splunk, Prometheus, OpenTelemetry)Familiarity with database integration and troubleshooting (PostgreSQL, Redis, etc.)Driven to deliver high-quality backend code with strong guardrails, auditing, and debugging capabilitiesEagerness to tackle hard bugs and ensure system transparency for end usersWhy Join LiteLLM?High-impact, mission-critical work on the core of compliance and reliabilityContribute directly to features used by enterprise customers at global scaleFast-paced growth environment with room for technical ownershipCompetitive salary, health, dental, and vision benefitsAbout LiteLLMLiteLLM (https://github.com/BerriAI/litellm) is a Python SDK and Proxy Server enabling seamless calls to 100+ LLM APIs in the OpenAI format, trusted by industry leaders worldwide.Ready to shape the future of secure, observable AI infrastructure? Apply now!