5-7 years in infrastructure, platform, security, or site reliability engineering
3+ years building on AWS with infrastructure as code
Proficiency in Python and/or Go, plus shell scripting
Deep hands-on AWS experience in a multi-account organization
Production Terraform or OpenTofu experience
Cloud networking expertise, including VPC design and Transit Gateway routing
Experience with AI coding agents and their associated risks
Responsibilities
Operate and enhance existing AWS environments and Kubernetes clusters
Build a new multi-account AWS GovCloud organization as code
Create and manage segmented network planes including Transit Gateway and Firewalls
Deliver secure environment ingress and egress
Own the software supply chain from commit to cluster
Translate NIST SP 800-171 and CMMC controls into automated guardrails
Support AI developer tooling and manage associated servers
Benefits
Flexible work environment
Opportunities for professional development
Collaborative team culture
Access to cutting-edge technology
Engagement in meaningful projects within a regulated environment
Full Job Description
Full Time
Active Secret Security Clearance Required
JOB SUMMARY
We are seeking a Senior DevSecOps Engineer to operate the cloud infrastructure our engineering teams depend on today and to build its successor from the ground up. The current environment spans AWS, Kubernetes, and CI. The next one is a new AWS GovCloud organization defined entirely as code, with the networking, identity, and software supply chain that a regulated engineering organization needs.
You will keep the existing environment healthy while the new one takes shape, then move workloads into it. You will also run the tooling that gives our engineers governed access to AI models and coding agents.
This is a building role on a small team, and the scope is broad by design. You will not maintain a compliance binder; you will turn security requirements into code that produces its own evidence.
Key Responsibilities
Operate and improve our existing AWS environments, Kubernetes clusters, and CI platform, and migrate workloads into the new organization as it comes online
Build a new multi-account AWS GovCloud organization as code
Build and operate segmented network planes: Transit Gateway, Firewalls, IPAM, PrivateLink, and VPNs to our facilities
Deliver secure environment ingress / egress
Own the software supply chain from commit to cluster: CI/CD runner fleets, FIPS-validated images, signed artifacts, replicated registries, private PKI
Partner with security and compliance to translate NIST SP 800-171 and CMMC controls into automated guardrails and evidence, and to triage and burn down security findings
Write clear design notes, merge request reviews, and runbooks, and help improve the shared AI-assisted workflows the team uses every day
Roll out and support AI developer tooling (Claude Code and similar) with managed settings, and review, harden, and operate the MCP servers and agent runtimes our teams depend on
Required Skills and Experience
Production Terraform or OpenTofu: reusable modules, state management, imports and refactors, and careful plan review
Proficiency in Python and/or Go, plus shell scripting
Clear, concise technical writing
Deep hands-on AWS experience in a multi-account organization: IAM policy evaluation, Organizations and service control policies, and Identity Center or equivalent federation with an external IDP
Cloud networking you can debug under pressure: VPC design, Transit Gateway routing and segmentation, firewalls and inspection, DNS, PrivateLink, and site-to-site VPN with BGP; you can answer "why can't X talk to Y" across accounts
CI/CD and container supply chain experience, including image builds, signing and verification, secrets management, and vulnerability scanning
Hands-on experience running access to a hosted model service (Amazon Bedrock, Azure OpenAI, Vertex AI, or similar) or an LLM gateway
Experience with AI coding agents (Claude Code or equivalent), with a working understanding of its risks: prompt injection, excessive agency, token and secret exposure, and untrusted tool servers
Desired Skills and Experience
AWS GovCloud experience, or work inside FedRAMP, NIST SP 800-171, CMMC, or ITAR-controlled environments
Greenfield landing-zone or account-vending work, including AWS Network Firewall and IPAM
Private PKI (for example AWS Private CA), HSM-backed key management, and mTLS
Service mesh (Istio or similar) and GitOps tooling (Argo CD, Flux, or similar)
LLM gateway operations (LiteLLM or equivalent), per-user cost attribution, and model invocation logging
Building or securing MCP servers and agent workflows
Shared AI workflows you built that other engineers adopted: hooks, commands, rules files, skills, or agent pipelines
Operating Kubernetes in production, preferably EKS
FIPS 140-3 validated cryptography and hardened container images
Experience in aerospace, defense, or other export-controlled programs
Education & Work Experience
BS in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
7+ years in infrastructure, platform, security, or site reliability engineering, including 3+ years building on AWS with infrastructure as code
About Radiance Technologies
Radiance Technologies is a defense contractor that provides systems engineering, technology development, and operational support services to the Department of Defense, intelligence community, and other government agencies. The company was founded in 1999 and is headquartered in Huntsville, Alabama. Radiance Technologies has been recognized as one of the fastest-growing private companies in the United States by Inc. Magazine and has received numerous awards for its work in the defense industry.
