Engineer
US$140,000 – US$180,000 / yr base salary
Posted 20 May 2026
Advertised as “Senior Engineer, Developer Platforms and Generative AI”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- REQ-020128
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$140,000 – US$180,000 / yr |
|---|
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Team
The Developer Platforms organization provides cloud infrastructure and tooling to 100+ teams and 750+ engineers in NYT Product Engineering through an internal developer platform. The DevEx Platforms team (6 engineers) focuses on developer experience and workflow automation.
We’re now expanding into more AI-assisted developer workflows using tools like Claude Code, Cursor, and Copilot to support debugging, migrations, test generation, and everyday development in a safe, measurable way.
This role sits in Developer Platforms and reports to the Engineering Manager of the DevEx Platforms team.
About the Role
As a Senior Software Engineer on DevEx Platforms, you’ll build GenAI-augmented developer experiences and platform capabilities used across all of The New York Times.
Your work will help teams ship faster and more safely, pay down technical debt through structured migrations and platform modernization, and turn effective internal practices into reusable tools and agents.
What You’ll Do
- Design and build GenAI-powered developer tooling: prompts, IDE integrations, Cursor/Claude rules, and telemetry to understand how they’re used.
- Build and run the GenAI developer platform: Tools, services, and integrations leveraging LiteLLM to power both local and background/long-running agents, providing auth, configuration, and LLM routing.
- Own guardrails and observability for agentic workflows: integrate with Datadog, DX, and FinOut, define sensible standards, and make sure agents interact with Jira, GitHub, and internal platforms in a safe, auditable way.