Abnormal

Senior Software Engineer - Platform Engineering - Federal Operations

Remote - USA

About the role

Abnormal AI is building out its Federal Platform Engineering team to architect and maintain the infrastructure layer powering its FedRAMP High GovCloud environment. In this role, you'll design reusable Terraform modules and cloud patterns that reduce drift between the government and commercial platforms, making it easier for federal operations teams to deploy and manage workloads safely and repeatably. You'll also raise the operational bar through improved monitoring, documentation, and incident response while mentoring engineers on platform best practices and AI-assisted workflows. This position suits experienced cloud engineers with 7+ years shipping production AWS infrastructure, strong hands-on Terraform skills, and Kubernetes expertise. You should have navigated compliance frameworks like FedRAMP or SOC 2, feel comfortable reading and writing automation scripts in Python or Go, and actively leverage AI tools in your engineering work. US citizenship or permanent residency is required for GovCloud access. Remote, US-based role offering $179,800–$258,500 base salary plus potential bonus, equity, and benefits. Experience directly implementing FedRAMP, building developer enablement platforms, or using LLMs in production contexts is a bonus.

Full job description

Expand to read the complete role requirements.

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. Active use of AI in engineering workflows beyond as a coding assistant
  • US Citizenship or Permanent Resident status (required for FedRAMP environment access)

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, 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.

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. These tools analyze resume content and role requirements 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. 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.

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