Senior DevOps Engineer (Active Secret Clearance)

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.

Striveworks was built to solve that problem.

What you’ll build

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.

As a Senior DevOps Engineer, you are where the platform meets the mission. Our systems stay online and reliable in the field because of what you build, automate, and maintain. You will interface directly with customers and work across teams. You’ll define what needs to be built, deploy it, and keep it running across commercial, unclassified, CUI, and classified DOD networks. 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.

What it’s like here

We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.

What we’re looking for

6+ years of direct, hands-on experience in:

• Microservices deployment in Kubernetes

• Diagnosing and resolving issues within containerized environments

• Helm Chart and Kustomizations development/deployment

• Python and/or Golang programming, or other general purpose programming languages

• Automation and IaC, e.g., Terraform

• Cloud infrastructure: AWS and Azure

• Managing and troubleshooting Linux systems, e.g., networking and bash scripting

• Active Secret (or above) US security clearance and US citizenship

The following isn’t required, but we’d love to see it:

• Familiarity with DOD networking, tools, infrastructure, security requirements, and policies