Senior Software Engineer - Platform Engineering - Federal Operations

About The Role

Abnormal AI is hiring a Senior Software Engineer, Platform Engineering to help build the Federal Platform layer underpinning our GovCloud environment. This is a platform infrastructure role first: you will design and evolve the core infrastructure, deployment foundations, and platform patterns that make GovCloud behave more like a thin extension of our commercial platform, with less drift and stronger operational leverage over time. As the first engineer focused on Federal Platform, you will help define the charter for the team, provide mentorship and guidance on platform-oriented topics in the GovCloud environment, and build the paved roads that make Federal Operations and application teams more self-sufficient as we scale the federal business.

What You Will Do

Lead the build-out and evolution of Abnormal’s FedRAMP High cloud infrastructure, translating security and compliance

Requirements

into reliable, auditable AWS implementations for the GovCloud environment. Design and maintain reusable Terraform modules, infrastructure patterns, and platform standards that make Gov changes safer, more repeatable, and easier for FedOps engineers to operate. Drive sound architectural decisions across compute, networking, and service design, balancing compliance, operational simplicity, and parity with commercial where it delivers the most value.

Partner closely with FedRAMP, compliance, and other engineering teams to reduce environment drift, improve deployment readiness, and close high-impact gaps between Gov and commercial. Raise the operational bar for GovCloud through better monitoring, alerting, documentation, and incident readiness, with a focus on reducing toil and improving long-term maintainability. Serve as a technical leader for FedOps by mentoring engineers, guiding implementation quality, and helping the team adopt AI-assisted workflows that speed up delivery and onboarding.

Must Haves 7+ years of experience operating public cloud environments, with deep hands-on AWS expertise Strong, production-grade Terraform experience. Comfortable building and debugging IaC modules from scratch, not just using existing configurations Experience deploying and managing Kubernetes workloads in production Experience working in or building toward compliance-constrained environments (FedRAMP, SOC 2, ISO 27001, or similar) 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 Demonstrated AI-forward mindset.

to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.

Abnormal AI is an equal opportunity employer.

Nice To Have

Direct FedRAMP Moderate or High implementation experience Experience building developer enablement infrastructure: cloud code integration, local agent setup, or CI/CD pipelines Experience using AI/LLM tooling in production engineering contexts AWS certifications (Solutions Architect, DevOps Engineer, or equivalent) #LI-NT1 Actual

Compensation

will be determined based on several non-discriminatory factors including skills, experience,

, equity, and a comprehensive

Qualifications

, and geographic location.

Benefits

package. Base salary range: $179,800 — $258,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews.