Platform Engineer

Acceler8 Talent; Virginia (MN); On-site; USD 180,000 - 250,000; Full time

Job summary

Acceler8 Talent is expanding its US engineering presence and seeks a Senior / Staff Platform Engineer to deploy and scale the core platform across US Government environments. You’ll own the production Kubernetes and cloud infrastructure and work hands-on on security, reliability and deployment across sensitive environments.

The role emphasizes a non-generic DevOps focus, with involvement in GovCloud, FedRAMP and air-gapped systems.

Qualifications

• Deep experience with at least one major cloud provider.
• Experience making architecture and deployment decisions yourself rather than only defining standards for other teams.
• Exposure to GovCloud, FedRAMP, defence, federal government or similarly secure environments.
• Experience working in environments where security, reliability and deployment constraints genuinely matter.

Responsibilities

• Own and improve production Kubernetes and cloud infrastructure.
• Solve difficult reliability, security and operational problems across customer environments.
• Adapt an existing platform for GovCloud, FedRAMP and government infrastructure requirements.
• Deploy into environments ranging from customer cloud through to classified, disconnected and air-gapped systems.
• Help shape the technical foundations of a growing US engineering team.
• Stay hands-on while becoming a senior technical reference point for the wider team.

Skills

Kubernetes

Cloud architecture

Security by design

GovCloud/FedRAMP

Job description

I’m working with a UK-founded AI company expanding its engineering presence in the US, hiring a Senior / Staff Platform Engineer to help deploy and scale its core platform across US Government environments.

This is not a generic DevOps role.

You’ll be hands-on with the infrastructure behind production AI systems operating in defense, intelligence and other high-security environments - owning decisions across cloud, Kubernetes, infrastructure-as-code, security and deployment.

What you’ll be doing:

• Own and improve production Kubernetes and cloud infrastructure
• Solve difficult reliability, security and operational problems across customer environments
• Adapt an existing platform for GovCloud, FedRAMP and government infrastructure requirements
• Deploy into environments ranging from customer cloud through to classified, disconnected and air-gapped systems
• Help shape the technical foundations of a growing US engineering team
• Stay hands-on while becoming a senior technical reference point for the wider team

Ideally you’ll have:

• Deep experience with at least one major cloud provider
• Experience making architecture and deployment decisions yourself rather than only defining standards for other teams
• Exposure to GovCloud, FedRAMP, defence, federal government or similarly secure environments
• Experience working in environments where security, reliability and deployment constraints genuinely matter

Existing clearance is useful, but isn’t required.

US citizenship and eligibility to obtain security clearance are required.

Why it’s interesting:

The underlying platform combines multimodal data, AI/ML models, semantic data layers, agentic applications and CPU/GPU inference infrastructure to support real operational decision-making.

You’re not maintaining another internal SaaS platform.

The engineering problems involve getting modern AI systems working reliably in environments with strict requirements around security, provenance, assurance, explainability and connectivity.

You’d also be joining early enough to have a meaningful influence on how the US technical organisation is built.

Location:

The role is primarily remote, but you need to be able to reach Herndon, Virginia at short notice when required.

Virginia-based candidates are strongly preferred.

Compensation

$200k base + up to 25% annual bonus