Senior Software Engineer (Platform Engineering, Federal Operations)

Join Abnormal AI as a Senior Software Engineer focused on Cloud Infrastructure. In this role, you will design and evolve the core infrastructure for our GovCloud environment, ensuring it operates seamlessly alongside our commercial platform. You will lead the build-out of our FedRAMP High cloud infrastructure, drive architectural decisions, and raise the operational bar for GovCloud. As the first engineer dedicated to the Federal Platform, you will define the team's charter, provide mentorship, and build the foundations for scaling our federal business.

• Design and evolve the core infrastructure, deployment foundations, and platform patterns for the GovCloud environment.
• Lead the build-out and evolution of Abnormal’s FedRAMP High cloud infrastructure, translating security and compliance requirements into reliable, auditable AWS implementations.
• Drive sound architectural decisions across compute, networking, and service design, balancing compliance, operational simplicity, and parity with commercial.
• US Citizenship or Permanent Resident status (required for FedRAMP environment access)
• Experience deploying and managing Kubernetes workloads in production
• Experience working in or building toward compliance-constrained environments (FedRAMP, SOC 2, ISO 27001, or similar)
• 7+ years of experience operating public cloud environments, with deep hands-on AWS expertise
• Demonstrated AI-forward mindset. Active use of AI in engineering workflows beyond as a coding assistant
• Comfort reading and writing Python, Go, or similar scripting languages. You don't need to ship full applications, but should be able to read, adapt, and write infrastructure automation scripts
• Strong, production-grade Terraform experience. Comfortable building and debugging IaC modules from scratch, not just using existing configurations
• Direct FedRAMP Moderate or High implementation experience
• Experience building developer enablement infrastructure: cloud code integration, local agent setup, or CI/CD pipelines
• AWS certifications (Solutions Architect, DevOps Engineer, or equivalent)
• Experience using AI/LLM tooling in production engineering contexts