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# Developer Productivity

- **Company:** Langchain, Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $165,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Data Validation, Github, White-Box Testing, Python (Programming Language), Key Management, PostgreSQL, Node.Js, Open Source Technology, Regression Testing, Mockito, SQL Databases, Test Data, Strategies of Testing, Datadog, Performance Testing, ReactJS, Large Language Models, Caching, Backend, Juniper, Pytest, Containerization, LangSmith, Kubernetes, Playwright, Front End Software Development, Vertica, Terraform, Api Management
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/developer-productivity-san-francisco-ca--d0bd22bd-ee93-48fe-9e44-8f4da6540d19

## About the Role

Artificial Intelligence (AI) Agents, Prototyping, Software Agents, Open Source, Product Development, Benchmarking, Juniper Networks M-Series, LinkedIn, Fortune 500 Customers, Vehicle Fleets, * 3+ years of experience as a software engineer or infrastructure engineer

 * Strong hands-on experience with Python and testing frameworks such as pytest
 * Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
 * Solid understanding of API testing, mocking/stubbing, and data setup/teardown
 * Comfort defining quality standards, writing test plans, and driving cross-team execution

Nice to Have

 * Experience with load and performance testing tools such as k6
 * Familiarity with observability tooling such as Datadog or OpenTelemetry
 * Experience testing services running on Kubernetes and containerized environments
 * Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
 * SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
 * Familiarity with Go, Node, or React for targeted white-box tests and improving system testability

## Description

The Infrastructure team builds and maintains the systems that power LangChain's developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence., We're hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You'll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You'll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites., * Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)

 * Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
 * Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
 * Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
 * Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
 * Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
 * Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests

Example projects you might own

 * A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
 * A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
 * A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake