Software Engineer (Development Infrastructure)
Posted
Summary
Builds and maintains CI/CD, build, and deployment infrastructure (GitHub Actions, Docker images, Bazel pipelines) so Abnormal Security's engineering teams can ship code reliably, including on-call ownership, code reviews, and coaching engineers. Core stack: Python, Go, GitHub Actions, Bazel, Docker/Kubernetes in a cloud-native environment.
- 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
Benefits
- Healthcare
- Flexible PTO
- 401k
- One Medical
- Flexible Spending Account
- Mental Health Resources
- Home Office Stipend
- Monthly Internet & Phone Stipend
- Health and Wellness Stipend
- 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