Software Engineer (Development Infrastructure)

Oct 29, 2026

Abnormal Security Software Engineer (Development Infrastructure)

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
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

Embraces continuous learning and enjoys tackling complex problems
Possesses a passion for helping others build world-class systems
Demonstrates exceptional teamwork skills
Thrives in a collaborative, fast-paced environment
Understanding of distributed systems, containerization and microservices
Experience building or operating CI/CD, build, or deployment systems in production, including on-call and incident response
2+ years of experience working with Python
Practical experience using Generative AI tools in day-to-day engineering workflows
3+ years of professional experience as a hands-on engineer building backend systems and/or platforms
Experience delivering complex projects end-to-end in a cloud native environment
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

Skills