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# Senior Backend Engineer job in San Francisco

- **Company:** Little Maintenance Co Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Software Debugging, Python (Programming Language), PostgreSQL, Redis, Prometheus, Memory Leaks, Datadog, Data Logging, Flask (Web Framework), Large Language Models, Backend, Fastapi, Information Technology, Splunk
- **Published:** June 16, 2026
- **Apply:** https://jobs.diversity.com/career/2378935/senior-backend-engineer-california-ca-san-francisco

## About the Role

* Bachelor's or Master's in Computer Science or related field
 * 1+ years of experience with Python and backend frameworks (e.g. FastAPI, Flask)
 * Understanding of logging best practices, error handling, and secure backend development
 * Exposure 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 capabilities
 * Eagerness to tackle hard bugs and ensure system transparency for end users

## Description

You'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., * Build 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 tables
 * Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents
 * Identify and fix areas where silent failures occur in guardrail creation, registration, and policy application-ensuring robust error handling and transparency to end users
 * Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systems
 * Enhance 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)


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