Software Engineer II - Dev Accelerator

<h2>About the Team</h2> <p>Abnormal AI is looking for a Software Engineer II to join the Dev Accelerator Team. The <strong>Dev Accelerator</strong> team builds and operates our internal <strong>developer platform</strong>: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely.</p> <p>Some of the pieces we’ve been working on recently</p> <ul> <li>Autonomous PR generators for rolling out migrations and linter rule enforcement</li> <li>Testing frameworks for enabling clear end to end test support with data generation and coverage tooling</li> <li>Optimizing CI execution speeds</li> <li>Developer CLI tooling: a “Prompt-to-Product” style CLI that scaffolds services end to end, environment and credentials tooling, and a broad set of internal developer scripts</li> <li>Large scale code migrations to improve the shape of the codebase for AI efficacy</li> </ul> <p>Our goal is to make the <strong>easy path the right path</strong> for product teams and AI agents building on the platform.</p> <h2>What You’ll Do</h2> <p>As a<strong> Software Engineer II, Dev Accelerator</strong>, you will:</p> <ul> <li>Develop and evolve the internal developer platforms that supports development across Abnormal</li> <li>Own high-leverage projects across <strong>CLI tooling, CI/CD, shared libraries, and test infrastructure</strong>.</li> <li>Work across <strong>Python, Go, Bazel, Kubernetes, AWS, and CI systems</strong> to make our Golden Path fast, reliable, and intuitive.</li> <li>Shape abstractions and workflows that are <strong>AI-native</strong>, consumable by both humans and AI agents.</li> </ul> <p>This is an individual-contributor role with ownership of multi-quarter initiatives. Success requires close collaboration with product engineering, Infrastructure, SRE, Security, and other partner teams.</p> <h2>Must Haves</h2> <ul> <li>3+ years of experience as a software engineer or in a similar role</li> <li>Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.</li> <li>Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs).</li> </ul> <h2>Nice to Have</h2> <ul> <li>Familiarity with our stack: Python, Golang, Bazel, AWS, Kubernetes, Github Actions </li> <li>Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers.</li> <li>Experience with test data management, integration/E2E test infrastructure, or bad-test detection.</li> <li>Hands on experience in</li> <ul> <li>CLI development </li> <li>YAML/Jinja2-style templating.</li> <li>Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns).</li> <li>Testing with standard frameworks like pytest/Ginkgo or similar.</li> <li>Shared library and service development (gRPC/HTTP).</li> <li>Authoring reusable workflows</li> </ul> <li>#LI-NT1</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.<br>In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.</p>