Software Engineer 1 - Cloud Infrastructure

About the Role

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.

The Platform & 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.

What you will do

• Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure)
• Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning.
• Drive design collaboration by participating in technical discussions and providing constructive reviews
• Contribute as a core member of an agile team with a strong sense of ownership and teamwork.
• Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions.
• 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.
• Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both.
• 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.

Must Haves

• Bachelor’s degree in Computer Science or a related technical field
• 1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost.
• 1+ years of experience with Python
• 6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes.
• Experience working within mature software development practices, including source control, testing, and deployment.
• Experience with on-call rotations, incident response, and operating production-grade systems
• Experience using AI coding tools (e.g., Claude Code, Codex) in daily engineering work, with the judgment to validate, simplify, and reject AI-generated output that doesn’t hold up in production.
• Strong communication skills and the ability to thrive in a fast-paced, remote-first environment—balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset.

Nice to Haves

• Experience with Bash, Golang, and Terragrunt.
• Prior experience building large-scale infrastructure-as-code abstractions.
• AWS certifications.

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Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.