At Abnormal AI, we’re building the infrastructure that powers our AI-native cybersecurity platform, which protects the world’s largest enterprises from sophisticated attacks. The Platform & Infrastructure (PI) division provides the core systems that enable all Abnormal products to operate reliably, at scale, and with high performance. You’ll join a team that owns critical services in cloud infrastructure, data platforms, observability, and development tooling. Requirements Ownership & Impact: You’re growth-oriented, take ownership of your work, and are eager to make a significant impact. Continuous Learner: Looking to grow as an engineer as part of a strong team, learning from established engineers, product managers, and designers. Strong Communicator: You excel in communication, with the ability to workautonomously and asynchronously with different teams. Requirements 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving. Hands-on experience in backend development using Python, with exposure to cloud-native environments. Solid understanding of databases, REST APIs, and data pipelines. Familiarity with LLM's and AI development tools such as Cursor, GitHub Copilot, or Claude Demonstrated passion for building scalable, enterprise-grade systems that operate reliably in production. Curiosity and eagerness to learn about distributed systems, orchestration, and cloud infrastructure. Nice to have Familiarity with containerization (Docker, Kubernetes). Exposure to observability tools (Prometheus, Grafana). Interest in data platforms, streaming systems, or infrastructure-as-code. Responsibilities As part of our Platform & Infrastructure team, you will: Leverage AI-powered Development – Use Cursor, Copilot, and other AI tools to accelerate development, automate workflows, and improve reliability. Build Foundational Systems – Design and maintain core backend services, infrastructure tooling, and data pipelines that support all Abnormal products. Optimize for Scale – Improve performance and resilience of systems handling billions of events daily. Collaborate Across Teams – Partner with Detection, Data Platform, and Product Engineering teams to ensure seamless integration and platform consistency. Drive Reliability and Observability – Build automated monitoring, alerting, and logging to ensure system health and performance at scale. #LI-FS1 A note on AI in our process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
