Abnormal
Software Engineer II - Dev Accelerator
About this role
Join Abnormal AI's Dev Accelerator team to build and maintain the internal developer platform that enables 100+ engineers to design, build, and ship products safely. You'll own high-leverage projects spanning CLI tooling, CI/CD, shared libraries, and test infrastructure while working with Python, Go, Bazel, Kubernetes, and AWS to create AI-native developer workflows.
What you'll do
- Develop and evolve internal developer platforms supporting engineering teams across the company
- Own multi-quarter initiatives in CLI tooling, CI/CD pipelines, shared libraries, and test infrastructure
- Design AI-native abstractions and workflows consumable by both humans and AI agents
- Collaborate with product engineering, Infrastructure, SRE, and Security teams on platform improvements
- Optimize developer experience by making the correct path the easiest path for product teams
- Work on large-scale code migrations and infrastructure optimizations to improve codebase quality
What they're looking for
- Python and Go development
- CI/CD systems and GitHub Actions
- Kubernetes and AWS
- Bazel build system
- CLI tool development
- LLM and AI tool integration for developer workflows
- Test infrastructure and E2E testing frameworks
- gRPC/HTTP service and shared library development
Benefits
- Remote work (USA-based)
- Bonus or incentive compensation eligible
- Equity compensation
- Comprehensive benefits package
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Abnormal
Abnormal builds AI-powered email security solutions that protect against threats through narrative-driven threat understanding, SMTP relay infrastructure, and advanced filtering capabilities. The company is hiring software engineers, infrastructure engineers, sales engineers, and technical support specialists to expand its platform and support enterprise customers.
View all jobs at AbnormalLikely interview questions
- Describe your experience using AI tools to accelerate software engineering outcomes—how have you applied LLMs in your work?
- Walk us through a time you built or maintained CLI tools or internal frameworks used by other engineers. What made them successful?