Software Engineer 2 - Development Infrastructure

Abnormal AI develops cloud-based security products that help businesses combat cybercrime. The Software Engineer 2 will design and deliver Development Infrastructure systems, build and maintain CI/CD tooling and pipelines, address production issues, and coach other engineers.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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