Cloud Infrastructure Engineer, Abnormal Security

• Bachelor’s degree in Computer Science or a related technical field
• Experience working within mature software development practices, including source control, testing, and deployment
• 4+ years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost
• 2+ years of experience with Python
• 1+ year of experience with Kubernetes and Helm
• 1+ year of experience with AWS (VPC, IAM, S3, Route 53, CloudFront, EKS, ECS, CloudWatch)
• 1+ year of experience with Terraform and HCL
• Experience with on-call rotations, incident response, and operating production-grade systems
• Practical experience using Generative AI tools in day-to-day engineering workflows
• 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
• This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization

Desirable

• 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 control plane, data plane, and broader product platform
• 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 by participating in sprint planning, standups, and execution 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

• As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process
• 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