Senior Engineer - Developer Experience Team

What you'll do

• Design, build, and maintain shared developer tooling and platform capabilities that improve engineering productivity across teams
• Collaborate with SRE and engineering teams to design and deliver reusable solutions for common development needs including service scaffolding, local development workflows, CI/CD patterns, automation, and release tooling
• Improve the developer experience across the software lifecycle from code authoring and testing through deployment and supportability
• Evaluate, integrate, and operationalize AI tools and workflows using various providers, APIs, SDKs, third party solutions, and agent-style tools to improve engineering output, quality, knowledge access, and delivery speed
• Identify and build high-value use cases for AI in software development such as code generation, code review assistance, documentation, migration support, and internal developer assistants
• Help define safe, effective patterns for adopting AI in day-to-day engineering work
• Build and evolve shared libraries, utilities, reference implementations, and templates to reduce duplicated effort across teams
• Design solutions that are maintainable, observable, secure, and easy for partner teams to adopt
• Partner with engineering teams to understand friction points and translate them into scalable solutions
• Produce high-quality documentation, examples, migration guides, and adoption playbooks that enable self-service
• Support adoption through design collaboration, pairing, and time-boxed engagements where needed
• Promote standards through useful paved roads and working solutions, minimizing process overhead or gatekeeping
• Ensure DX-owned tooling and shared components are reliable, secure, observable, and well supported
• Use data to measure impact including build/test performance, adoption, reliability, and engineering satisfaction
• Continuously improve solutions based on developer feedback, operational signals, and usage patterns

Requirements

• 4+ years of professional software engineering experience
• Strong proficiency in Java and Python, including writing clean, maintainable, well-tested code and designing reusable abstractions
• Hands-on experience building developer tooling, internal platforms, shared libraries, automation, or productivity-focused engineering solutions
• Strong practical experience with modern AI providers, models, and APIs (e.g., Cursor, Claude, Codex)
• Experience translating AI capabilities into concrete engineering outcomes such as developer workflows, assistants, automation, or knowledge-enabled tooling
• Strong software design and systems thinking
• Experience with CI/CD systems, build tooling, developer workflows, and release automation
• Familiarity with observability practices including logs, metrics, tracing, and operational readiness
• Strong communication and collaboration skills

Tech stack

Benefits