Software Engineer, Developer Platforms and Generative AI

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 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. Behind those products is a large engineering organization that relies on a reliable, modern, and AI-augmented developer platform.

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. You'll be part of Developer Platforms and report to the Engineering Manager of the Developer AI team. As a Software Engineer on the Developer AI team, you'll help build GenAI-augmented developer experiences and platform capabilities used across The New York Times.

You'll work with more senior engineers on the team to deliver well-scoped projects that improve how engineers build, test, and deploy software. You'll also help define how engineers across Product Engineering design and operate their own agents and agentic workflows. That means helping turn one-off experiments into opinionated, reusable patterns - deliverying and running custom agents safely on our internal platform.

Your work will help teams: Ship faster and more safely by using GenAI-augmented workflows instead of one-off scripts and manual toil. Pay down technical debt through structured migrations and platform modernization. Turn internal practices into reusable tools and agents.

You'll collaborate with partner teams, contribute to the reliability and security of our services, and grow your skills in cloud-native engineering, internal platforms, and practical GenAI. We operate on shorter planning horizons than many product teams, typically in six-week increments. This lets us respond quickly to an evolving GenAI and agentic ecosystem, incorporating new capabilities and usage patterns into the platform while maintaining clear priorities and structure.

Responsibilities

; the schedule will be set when you join.

: 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. 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.