Software Engineer 2 - Development Infrastructure

Abnormal

1d•$149,200 - $214,500

About The Position

Abnormal AI is building interconnected cloud security products on a unified platform designed to operate in global data centers. The Development Infrastructure team supports product teams by creating an environment for high-quality software development and engineering excellence. The Software Engineer 2 will lead the design and delivery of complex, multi-component features and systems for the Development Infrastructure team’s offerings and help shape the roadmap. The role develops and maintains CI/CD infrastructure and tools, improves GitHub Actions infrastructure, base Docker images, and build and deployment pipelines, and uses AI tools to evaluate solutions while accounting for production constraints, complexity, and long-term maintainability. The engineer also takes ownership of on-call issues, addresses systemic gaps, participates in software development lifecycle activities, and coaches other engineers. Abnormal AI uses AI-assisted tools to help its recruiting team prepare for interviews; these tools do not make hiring decisions or automatically screen candidates. Candidacy decisions are made by people. Successful applicants receiving a conditional offer must pass applicable pre-employment checks. Abnormal AI is an equal opportunity employer.

Requirements

At least 3 years of professional experience as a hands-on engineer building backend systems and/or platforms.
At least 2 years of experience working with Python.
Experience delivering complex projects end-to-end in a cloud-native environment.
Experience building or operating production CI/CD, build, or deployment systems, including on-call and incident response.
Understanding of distributed systems, containerization, and microservices.
Practical experience using generative AI tools in day-to-day engineering workflows.

Nice To Haves

Experience creating and maintaining CI/CD systems.
Experience with GitHub Actions.
Experience with Go.
Experience with Bazel.
Experience working on or with teams such as Engineering Effectiveness, Engineering Productivity, Development Experience, Development Infrastructure, or similar.
Knowledge of Docker, Kubernetes, or similar technologies.
Familiarity with generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.

Responsibilities

Lead the design and delivery of complex, multi-component features and systems for the Development Infrastructure team’s offerings, and shape the roadmap for this area.
Develop and maintain CI/CD infrastructure and tools that help Engineering develop and ship changes reliably with less effort.
Design and implement enhancements to GitHub Actions infrastructure, base Docker images, and build and deployment pipelines to improve scalability, performance, and cost.
Use AI tools to explore and compare solutions, adapting generated changes to production constraints while considering system complexity and long-term maintainability.
Own on-call issues, including complex issues with unclear root causes, and address the systemic gaps behind them.
Participate in planning, code reviews, standups, and other software development lifecycle activities.
Coach other engineers on the team.