Abnormal AI is hiring a Senior Software Engineer, Cloud Infrastructure 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.
- 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. Active use of AI in engineering workflows beyond as a coding assistant
- US Citizenship or Permanent Resident status (required for FedRAMP environment access)
- 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, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
