Software Engineer 2 - Development Infrastructure

About the Role

Abnormal AI empowers businesses of all sizes to combat cybercrime through our innovative cloud products. To achieve our mission, we're building a suite of interconnected security solutions on a unified platform, designed to operate flawlessly in global data centers.

The Development Infrastructure team plays a critical role in multiplying the impact of our product teams. We create an environment that fosters high-quality software development, and engineering excellence. This team has become instrumental in the success of our engineering organization.

You are someone who:

• Thrives in a collaborative, fast-paced environment
• Possesses a passion for helping others build world-class systems
• Demonstrates exceptional teamwork skills
• Embraces continuous learning and enjoys tackling complex problems

What you will do

• Lead the design and delivery of complex, multi-component features and systems of the Development Infrastructure team's offerings, and shape the roadmap for this area.
• Develop and maintain CI/CD infrastructure and tools for Engineering to develop and ship their changes reliably with less effort.
• Design and implement enhancements to GHA infrastructure, base Docker images and build/deploy pipelines with improvements in scalability, performance and costs.
• Use AI tools to explore and compare solutions, and adapt the generated changes to real production constraints, weighing system complexity and long-term maintainability.
• Take ownership of on-call issues, including complex issues where the root cause is unclear, and fix the systemic gaps behind them.
• Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.

Must Haves

• 3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.
• 2+ years of experience working with Python.
• Experience delivering complex projects end-to-end in a cloud native environment.
• Experience building or operating CI/CD, build, or deployment systems in production, 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 like “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.

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