Developer Experience Engineer

About the role

This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, Israel and Japan. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You

You've built tools that engineers rely on. You’re deeply familiar with the day-to-day challenges developers face, from local development to automated testing, deployments and CI/CD. You understand the potential that Agentic AI presents towards enhancing these processes and are enthusiastic about getting your hands on the tools, and developing scientific processes to accelerate the work of your fellow engineers.

What skills do I need?

- 5+ years of software engineering experience, ideally with a focus on developer tooling, platform engineering, or internal-facing/DevX systems

- Proven ability to build internal tools that make powerful AI capabilities accessible to engineers, including the judgment to know when to build vs. buy, and when to standardize vs. let teams experiment

- A natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions that get adopted rather than shelved

- Strong full-stack TypeScript proficiency, deep familiarity with API design and integration (RESTful services, MCP, and similar), and comfort working across a modern engineering tech stack

- Production experience with AWS, CI/CD using Github Actions or similar tool, and a genuine understanding of AI safety and security, especially around code execution and access to internal systems

- Experience with or strong interest in developer experience fundamentals: reducing friction, measuring engineering productivity, and treating internal tooling like a product with real users

- Bachelor's degree in Computer Science, Engineering, or equivalent work experience

Key Responsibilities

- Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling.

- Own foundational architecture and standards for how agents model releases, and internal tools are evaluated, and deployed internally: including reliability, evals, efficiency, and secure tool access patterns