DevOps Engineer; Active Secret Clearance

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real‑world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission‑critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data‑driven decision‑making in dynamic environments.

As a Dev Ops 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.

This position offers a hybrid/on‑site work environment at our customer sites in Fort Carson, Colorado.

• Customer‑centric engineering – Partnering directly with users and stakeholders to translate mission requirements into technical solutions, ensuring that Striveworks’ AI capabilities are fully integrated into their existing workflows.
• Tactical deployment and automation – Building and maintaining infrastructure‑as‑code (IaC) to deploy custom Kubernetes clusters across diverse environments (e.g., AWS, Azure, GCP, and on‑prem).
• Integration and troubleshooting – Acting as the primary technical point of contact for troubleshooting complex integrations, you’ll be deep in the logs, debugging containerized microservices and network and application configurations to unblock the customer.
• Product evolution – Feeding field insights back to our core product teams. You are the eyes and ears of the engineering org, identifying friction points in the installation process and automating them away.
• Mission execution – Leading software deployments on unclassified, CUI, and classified networks, ensuring that our AI remains reliable, adaptable, and ready to scale in dynamic environments.

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values.

Collectively, we value a high‑trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, geek out about the potential of our contributions, and find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

• 3–5+ years of hands‑on experience in software, Dev Ops, 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…