AI-Powered Dev Platform Engineer II

Abnormal Security

United States

On-site

USD 149,000 - 215,000

Full time

5 days ago
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Job summary

Abnormal Security is seeking a Software Engineer II to join the Dev Accelerator Team. You will help build our internal developer platform—tools, libraries, and infrastructure used by 100+ engineers to design, build, test, and ship products quickly and safely.

You will collaborate across product engineering, infrastructure, SRE, security, and other partners to own multi-quarter initiatives. Proficiency with AI tools and LLM-based workflows is key, with a strong emphasis on usability for humans

Qualifications

  • 3+ years of experience as a software engineer or in a similar role.
  • Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
  • Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs).

Responsibilities

  • Develop and evolve the internal developer platforms that supports development across Abnormal
  • Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure
  • Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive
  • Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents

Skills

AI tool usage
LLM-driven workflows
3+ years of experience

Tools

Python
Go
Bazel
Kubernetes
AWS
GitHub Actions

Job description

Abnormal Security is seeking a Software Engineer II to join the Dev Accelerator Team. You will help build our internal developer platform—tools, libraries, and infrastructure used by 100+ engineers to design, build, test, and ship products quickly and safely.

You will collaborate across product engineering, infrastructure, SRE, security, and other partners to own multi-quarter initiatives. Proficiency with AI tools and LLM-based workflows is key, with a strong emphasis on usability for humans

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