Software Engineer, Developer Platforms and Generative AI

About the role

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the core of our work, and our digital products, from News to Games to Cooking and Audio, help millions of people engage with that journalism every day.

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 Developer AI team focuses on developer experience with GenAI tools and agentic workflows. We provide paved paths that make it easier for product engineers to deliver and operate reliable software using AI-augmented workflows. We work with teams using tools like Claude Code, Cursor, and Copilot to support debugging, migrations, test generation, and everyday development in a safe, measurable way.

Responsibilities

• You'll deliver GenAI-powered developer tooling—such as prompts, IDE integrations, skills, and telemetry. You'll help us understand and improve how we deploy and use these tools.
• You'll contribute to the GenAI developer platform: services and integrations built on top of https://www.litellm.ai/ to power both local and background/long-running agents.
• You'll implement and maintain guardrails and observability for agentic workflows, to integrate them with DataDog, DX, and FinOut.
• You'll partner with platform and product teams to define how engineers build their own agentic workflows and custom agents.
• You'll deliver self-service APIs, templates, and documentation that make it easy and safe for engineers to build and operate team-specific agents as part of their everyday development workflows.
• You'll experiment with new GenAI and agentic capabilities, evaluate what works in practice. You'll turn successful experiments into paved paths that can be adopted at scale.
• You'll work with engineers and managers across Product Engineering to understand how they build software today to design solutions that actually fit the way they work.

Qualifications

• 3+ years of professional software engineering experience building cloud-native applications (we primarily use Go)
• 1–2 years improving developer experience through workflows, documentation, or internal platforms (for example, building CI/CD improvements, internal tooling, or onboarding guides for other engineers)
• 1–2 years working with Amazon Web Services or Google Cloud Platform
• 1+ years using GenAI tools like GitHub Copilot, Cursor, or Claude Code as part of your daily development
• Experience learning new tools and patterns and asking clear questions when requirements or tradeoffs are ambiguous
• High level of empathy towards coworkers and existing solutions; you're curious about how other engineers work and motivated to make their experience better
• Comfort working in a fast-evolving GenAI and agentic landscape, where new capabilities, usage data, and experiments, inform our priorities