Platform Engineer – Secure AI & GovCloud (Remote)

Acceler8 Talent; Herndon, Northern (VA, KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Annual bonus up to 25%

Job summary

Acceler8 Talent is partnering with a UK-founded Defence AI company expanding its US engineering team. You will own production Kubernetes and cloud infrastructure, implement IaC with Terraform/OpenTofu/Pulumi, and deploy AI platforms into GovCloud and other high-security environments.

As a Senior/Staff Platform Engineer, you’ll stay hands-on while guiding the growing US engineering team, solving complex security and reliability challenges along the way. Remote-friendly, Virginia-based preferred.

Qualifications

• Experience deploying Kubernetes in secure government contexts.
• Proficient with IaC tooling (Terraform, Pulumi, OpenTofu).
• US citizenship and ability to obtain security clearance.

Responsibilities

• Own and improve production Kubernetes and cloud infrastructure.
• Build infrastructure-as-code and repeatable deployment patterns using Terraform/OpenTofu/Pulumi.
• Deploy AI platforms into US Government, GovCloud, and high-security environments.
• Solve complex security, reliability and operational challenges across deployments.
• Translate platform into US Government infrastructure and accreditation requirements.
• Remain hands-on while becoming a senior technical reference as the team grows.

Skills

Kubernetes administration

Cloud infrastructure design

Infrastructure as code

Security compliance

Deployment automation

Tools

Kubernetes

Terraform

OpenTofu

Pulumi

GovCloud

Job description

Acceler8 Talent is partnering with a UK-founded Defence AI company expanding its US engineering team. You will own production Kubernetes and cloud infrastructure, implement IaC with Terraform/OpenTofu/Pulumi, and deploy AI platforms into GovCloud and other high-security environments.

As a Senior/Staff Platform Engineer, you’ll stay hands-on while guiding the growing US engineering team, solving complex security and reliability challenges along the way. Remote-friendly, Virginia-based preferred.