TS/SCI Cleared Platform Engineer — Cloud & Kubernetes

Medium

Richardson (TX)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

100% paid employee healthcare & dental
Paid parental leave
401k with matching
Escalating vacation time
Referral bonuses
Tuition reimbursement
Professional development training
Free beverages and snacks
Weekly catered lunches and breakfast

Job summary

Reinventing Geospatial, Inc. (RGi) is a fast-paced geospatial solutions provider serving Defense, Intelligence and Federal clients.

As a Software Engineer you design, deploy, and secure cloud infrastructure, using Terraform, Ansible, and Helm on AWS and Kubernetes, while aligning with clearance requirements. You will build CI/CD pipelines, implement observability, automate Linux tasks with Python and Bash, and contribute to secure, scalable deployments in both cloud and on‑prem environments.

Qualifications

  • Security clearance required; Top Secret with SCI access eligible.
  • Proficient in Linux, scripting, automation, and security practices.
  • Experience deploying cloud infra on AWS using Terraform/Ansible.
  • Experience with containerized environments (Kubernetes).

Responsibilities

  • Design, deploy, and maintain cloud infrastructure as code (Terraform/Ansible) on AWS and Kubernetes with Helm.
  • Build and support CI/CD pipelines and observability tooling in secure environments.
  • Automate Linux tasks with Python/Bash and apply DevSecOps for secure releases.

Skills

Security+
Cleared
Linux
Scripting
Automation
AWS
DevSecOps
CI/CD

Tools

Terraform
Ansible
Helm
Kubernetes
EKS
EKS Auto Mode

Job description

Reinventing Geospatial, Inc. (RGi) is a fast-paced geospatial solutions provider serving Defense, Intelligence and Federal clients.

As a Software Engineer you design, deploy, and secure cloud infrastructure, using Terraform, Ansible, and Helm on AWS and Kubernetes, while aligning with clearance requirements. You will build CI/CD pipelines, implement observability, automate Linux tasks with Python and Bash, and contribute to secure, scalable deployments in both cloud and on‑prem environments.

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