Design, build, test, scale, monitor, and maintain secure and cost-efficient infrastructure across AWS and Azure.
Develop and operate repeatable, auditable infrastructure-as-code provisioning systems.
Partner with product and application engineering teams to deliver developer-friendly infrastructure abstractions.
Participate in technical design discussions, code or implementation reviews, on-call rotations, and incident response.
Address root causes, automate repetitive work, reduce technical debt and operational toil, and improve long-term reliability.
Use AI-assisted tools to explore, design, and ship solutions while validating and simplifying generated output.
Requirements
Bachelor’s degree in Computer Science or a related technical field.
1–2 years of experience engineering cloud infrastructure for production microservice-based systems, with attention to performance, reliability, security, and cost.
At least 1 year of Python experience.
6 months to 1 year of experience in at least two of Terraform, AWS or equivalent public cloud services, and Kubernetes.
Experience with source control, testing, deployment, on-call rotations, incident response, and production-grade systems.
Daily experience using AI coding tools such as Claude Code or Codex, with the judgment to validate or reject unsuitable generated output.
Strong communication skills and the ability to work effectively in a fast-paced, remote-first environment.
Preferred experience with Bash, Golang, Terragrunt, large-scale infrastructure-as-code abstractions, or AWS certifications.
Benefits
Remote-first work environment.
Comprehensive benefits package.
May be eligible for bonus or incentive compensation and equity.
Salary: $122k - $176k/yr
Abnormal Security
Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.