Senior DevSecOps Engineer - AWS GovCloud & AI Tooling

MOMENTUS

San Jose (CA)

On-site

USD 190,000 - 225,000

Full time

14 days+

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Job summary

Momentus seeks a Senior DevSecOps Engineer to run and evolve its cloud, focusing on AWS, Kubernetes, and CI. You will create a GovCloud environment defined as code and enable secure software supply chains for a regulated engineering team.

You will lead security-automation efforts, translate standards into guardrails, and shape a broad, high-impact role in a small team. Onsite preferred in San Jose, with hybrid/remote options.

Qualifications

  • 7+ years in infrastructure, platform, security or SRE.
  • Hands-on AWS multi-account with IAM policy evaluation and SCPs.
  • Experience with CI/CD, containers, and supply chain security.
  • Experience running AI tooling and model gateways.
  • Clear technical writing and design documentation are required.
  • Ability to translate standards (NIST SP 800-171, CMMC) into guardrails.

Responsibilities

  • Operate and improve AWS environments, Kubernetes clusters, and CI; migrate workloads to GovCloud.
  • Build a new multi-account AWS GovCloud organization as code.
  • Design and operate network planes, Firewalls, PrivateLink, VPNs.
  • Deliver secure ingress/egress and manage software supply chain.
  • Collaborate with security/compliance to implement automated guardrails.
  • Develop design notes, MR reviews, and runbooks; support AI developer tooling.

Skills

Python
Go
Shell scripting

Education

BS in Computer Science / Computer Engineering
Equivalent practical experience

Tools

Terraform
OpenTofu
CI/CD
Kubernetes
AWS
AWS GovCloud

Job description

Momentus seeks a Senior DevSecOps Engineer to run and evolve its cloud, focusing on AWS, Kubernetes, and CI. You will create a GovCloud environment defined as code and enable secure software supply chains for a regulated engineering team.

You will lead security-automation efforts, translate standards into guardrails, and shape a broad, high-impact role in a small team. Onsite preferred in San Jose, with hybrid/remote options.

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