striveworks
DevOps Engineer (Active Secret Clearance)
At a Glance
- Location
- Fort Carson, Colorado, United States
- Experience
- 5+ years
- Compensation
- ay range for this position is $140,000 to $165,000/year. Striveworks’ total comp
- Posted
- 2026-05-08T09:58:47-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
Benefits & Perks
ns 401(k) plan Unlimited PTO Paid parental leave Check us
Medical/dental/vision insurance Voluntary life, long-term disability, a
Requirements
3–5+ years of hands-on experience in software, DevOps, site reliability, or systems engineering
Customer-centric technical leadership that combines deep technical expertise with executive presence to lead cross-functional requirement gathering, manage professional incident response across diverse environments, and champion organizational interests to external stakeholders
Production Kubernetes: Expertise in deploying and diagnosing microservices within K8s (using Helm and kubectl)
Observability and monitoring: Experience with comprehensive observability solutions (metrics, logs, and traces) using tools such as Prometheus, Grafana, and OpenTelemetry to ensure system reliability and performance visibility
Application assurance: Ability to design and execute testing strategies to validate application functionality, diagnose issues, and perform root cause analysis—implementing effective long-term fixes to improve stability and performance
Infrastructure-as-code: Deep proficiency in Terraform, Ansible, or similar tools to manage virtual machines (VMs) and containerized services
Compensation & Benefits
Medical/dental/vision insurance
Voluntary life, long-term disability, accident, and hospital indemnity insurance
HSA and FSA (including dependent care FSA) plans
401(k) plan
Unlimited PTO
Paid parental leave
Responsibilities
As a DevOps Engineer supporting operations on site at Fort Carson, Colorado, you are the tactical edge of our engineering team.
You aren’t just maintaining a platform; you play a key role in the technical success of a project.
You will interface directly with customers to understand their unique constraints—such as restricted networks, hardware limitations, or urgent operational requirements—and tailor our automation and deployment strategies to move the needle for them.
You will be responsible for maintaining the end-to-end life cycle of our AI platform across a diverse architectural landscape—including remotely accessible cloud environments and on-premises hardware.
You’ll thrive in this role if you enjoy the challenge of debugging complex Kubernetes clusters where connectivity is a luxury, not a given.
You are someone who can navigate the unique constraints of local hardware today and write the automation that ensures seamless, reliable performance across the customer’s hybrid stack tomorrow.