Software Engineer 1 - Cloud Infrastructure
Abnormal Security · Remote - USA
About this role
## 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; 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: **Terraform**, **AWS** (or equivalent public cloud 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, bias toward action, and a positive, constructive mindset ## Nice to Haves - Experience with **Bash**, **Golang**, and **Terragrunt** - Prior experience building large-scale infrastructure-as-code abstractions - **AWS certifications** ## Compensation (Pay Transparency) - **Base salary range:** $122,400 — $176,000 USD - Actual compensation will be determined based on non-discriminatory factors including skills, experience, qualifications, and geographic location. - In addition to base salary, this role may be eligible for bonus/incentive compensation, equity, and a comprehensive benefits package. ## A note on AI
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