Software Engineer 1, Dev Accelerator

The Dev Accelerator team builds and operates Abnormal’s internal developer platform: the tools, libraries, and infrastructure that help engineers design, build, test, and ship products quickly and safely. The team owns developer CLI tooling, monorepo build and CI workflows, shared Go/Python libraries, and test and release safety systems that form the Golden Path for backend development.

As a Software Engineer on Dev Accelerator, you’ll own scoped problems end-to-end with support from teammates, using good judgment and growing independence to deliver reliable outcomes. You’ll use AI as a core part of how you explore solutions and move quickly, while validating that generated outputs are correct, maintainable, and production-ready.

• Contribute to the internal developer platform that supports backend development across the company, from local developer workflows to shared services and libraries.
• Build and improve scoped pieces of developer tooling, including CLI and scaffolding workflows that help engineers create and ship new services safely and consistently.
• Help maintain and improve CI/CD, linting, and testing workflows in the monorepo, with a focus on reliability, fast feedback, and keeping main healthy.
• Contribute code to shared Go and Python libraries and services, learning the team’s patterns for safe, maintainable, and consistent usage.
• Use AI to explore approaches, automate repetitive work where appropriate, and iterate on implementations until they meet real production standards.
• Debug issues, write tests, and validate behavior in real environments rather than relying only on generated output or assumptions.
• Improve team documentation, examples, and shared context so both engineers and AI tools can produce better results over time.

• 1+ years of professional development experience or 2+ years of consistent open source contributions
• Relevant software engineering experience through internships, co-ops, research, open-source work, substantial project work, or early-career full-time roles that demonstrate readiness to contribute in a production environment.
• Strong software engineering fundamentals and the ability to write, test, debug, and improve production-quality code.
• Experience with Python or Go, plus willingness to learn whichever language is less familiar for the role.
• Familiarity with modern development workflows such as version control, code review, testing, and CI/CD.
• Good judgment when using AI tools for engineering work: you can evaluate outputs, catch incorrect or incomplete solutions, and refine them to fit real system constraints.
• Comfort taking ownership of scoped problems end-to-end, asking for help when needed, and steadily increasing independence.
• Strong learning mindset, adaptability, and openness to feedback in a fast-moving platform environment.
• Clear communication and a collaborative approach to working with teammates and internal customers.

• B.S. degree in computer science or related field
• Internship, co-op, or early-career experience building internal tools, backend services, or developer productivity tooling.
• Exposure to monorepo development, CI/CD pipelines, or build systems.
• Familiarity with Go/Python shared libraries, gRPC/Protobuf APIs, or cloud-based backend systems.
• Interest in developer experience, self-service platforms, or Golden Path tooling.
• Curiosity about AI-native developer workflows and excitement about improving how engineers build software with AI.

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