Software Engineer 1 - Cloud Infrastructure

<h2>About the Role</h2> <p>Abnormal AI is an AI-native behavioral security platform that protects enterprises from advanced threats by analyzing and understanding communication patterns and access behavior at scale. We now protect more than 25% of the Fortune 500, and as we expand into new product lines and geographies, a scalable, reliable infrastructure foundation is critical to our next phase of growth.</p> <p>The Platform &amp; Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design, build, and operate the core compute and business-critical infrastructure services that form the foundation of Abnormal’s product platform.</p> <h2>What you will do</h2> <ul> <li>Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure)</li> <li>Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning.</li> <li>Drive design collaboration by participating in technical discussions and providing constructive reviews</li> <li>Contribute as a core member of an agile team with a strong sense of ownership and teamwork.</li> <li>Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions.</li> <li>Participate in an on-call rotation with a learning-oriented mindset, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements.</li> <li>Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both.</li> <li>Use AI as a primary way to explore, design, and ship solutions, and automate repetitive work and operational toil. Improve team and system context (docs, runbooks, AI skills) so AI-assisted work gets better for everyone.</li> </ul> <h2>Must Haves</h2> <ul> <li>Bachelor’s degree in Computer Science or a related technical field</li> <li>1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost.</li> <li>1+ years of experience with Python</li> <li>6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes.&nbsp;</li> <li>Experience working within mature software development practices, including source control, testing, and deployment.</li> <li>Experience with on-call rotations, incident response, and operating production-grade systems</li> <li>Experience using AI coding tools (e.g., Claude