We're looking for a Software Engineer, Infrastructure to build the systems that power Capitol's platform — from cloud infrastructure and Kubernetes operations to CI/CD, observability, and internal tooling. You'll make a huge impact as part of a small team and have meaningful influence over how we scale and secure our infrastructure as we grow.
This is a high-ownership role. You'll be solving real problems across multi-tenant and single tenant environments serving enterprise and government clients.
Responsibilities
Design, implement, and maintain scalable, secure, and compliant cloud infrastructure using Infrastructure as Code.
Build and evolve CI/CD pipelines that improve developer velocity without sacrificing quality.
Operate and improve Kubernetes-based systems, ensuring reliability across development and production environments.
Drive observability — defining metrics, building dashboards, and making system health visible and actionable.
Participate in on-call rotations, incident response, and postmortems.
Contribute to compliance efforts (SOC 2 and beyond), translating controls into infrastructure reality.
Build internal tooling and automation that makes engineers more productive.
Collaborate proactively across teams, surfacing issues before they become blockers.
You May Be a Good Fit If You
Have 7+ years building and operating production infrastructure.
Have led complex, cross-functional infrastructure projects end to end.
Take ownership — you drive things to completion without waiting to be asked.
Communicate clearly and proactively with both technical and non-technical stakeholders.
Are fluent in Python, Go, Rust, or similar.
Have deep knowledge of Kubernetes, Helm, OpenTelemetry, and at least one major cloud (GCP, Azure, or preferably AWS).
Are experienced with Infrastructure as Code (Terraform, Pulumi, or similar).
Have worked with security or compliance frameworks (SOC 2, FedRAMP, ISO 27001, or similar).
Have enterprise software experience — you understand the constraints, expectations, and deployment patterns that come with large organizational clients.
Have operated data or AI infrastructure at scale — experience running and supporting systems like Ray, Spark, or Temporal in production, where reliability and throughput directly impact model training or inference workloads.
Strong Candidates May Also Have
Experience in early-stage startups or hyper-growth environments.
Familiarity with multi-tenant SaaS architecture, data isolation, and GitOps patterns.
Government or regulated industry experience.
Contributions to open source infrastructure projects.
About Capitol AI
Capitol AI is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions such as professional services firms, financial services, and government agencies. These organizations are overwhelmed by data and experimenting with generic AI tools that lack auditability, repeatability, and secure deployment. As a result, critical decisions are increasingly shaped by systems they do not fully control.
Capitol runs entirely inside enterprise infrastructure and transforms proprietary data into structured, decision-grade artifacts such as due diligence reports, regulatory documentation, and executive intelligence. The platform is model-agnostic, fully auditable, and operates with no data egress, giving institutions durable control over their data, workflows, and standards.
