Why This Job is Featured on The SaaS Jobs
This role stands out in SaaS because it sits at the internal platform layer that shapes how product engineering happens across an organization. By working on a “Golden Path” for backend development, the engineer influences consistency, safety, and delivery cadence through shared tooling, libraries, and CI workflows. In SaaS companies, where frequent releases and reliability are tightly linked to retention and revenue, developer productivity infrastructure becomes a strategic lever rather than a back-office function.
Over time, this kind of work builds durable SaaS engineering instincts: designing for repeatability, reducing friction in build and release systems, and treating CI feedback speed as a product surface for internal users. The emphasis on validating AI-assisted output also reflects an emerging expectation in modern SaaS teams: using automation to accelerate iteration while maintaining production-grade standards, tests, and operational confidence.
The position fits an early-career engineer who prefers ownership of well-scoped problems and enjoys improving how other engineers build. It is especially aligned with someone motivated by developer experience, pragmatic automation, and the craft of making engineering systems more reliable through incremental, measurable improvements.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Role
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.
What you will do
- 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.
Must Haves
- 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.
Nice to Have
- 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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Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
