About the role
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.