Developer Productivity
Software Engineer 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.
Location:
In person 5 days/week in San Francisco, CA or New York, NYWhat You'll DoOwn 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 What You'll Bring 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 k6Familiarity with observability tooling such as Datadog or Open
- TelemetryExperience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets managementSQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
- CompensationAnnual salary range: $165,000- $250,000 USDCompensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you're tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.