DevOps Engineer; AI Platform & Cloud Infrastructure Security Clearance

Position: DevOps Engineer (AI Platform & Cloud Infrastructure) with Security Clearance
Hey! Bitwise is a leading provider of mission-focused intelligence solutions that advance national security for the Intelligence Community and Department of Defense. We're a small and growing company, so you can expect to hop in on the ground floor with us and be a consequential member of the team. You'll be more than a contract performer for us - you'll also be asked for ideas to improve our company and improve your career, and you'll contribute to our team culture.

We value growth and community above almost all else, so we gather regularly for game nights, happy hours, tech talks, and plenty more. We think you'll like it here! Remember, Bitwise is not a cult. What We Look For Bitwise hires talented engineers who are driven by purpose and who value a culture of technical excellence, growth, and overall wellness.

We deliver new and innovative intelligence solutions to our customers at the very forefront of our country's national security missions. And we do it every single day. Our work matters, and so will you. We ask that every new hire be able to:
* Contribute meaningful thought leadership - if not right away, over time
* Interact with our customers and earn their confidence in your abilities
* Be detailed, even if that means taking a little more time to get it right
* Contribute their ideas and ideals to improve all aspects of our company
* Allow us to invest in their education so we both grow together
* Know and live our core values every single day About this Role As a Dev Ops Engineer supporting AI Platform & Cloud Infrastructure, you will design, deploy, and maintain the infrastructure that powers production AI systems in secure mission environments. You will help operationalize machine learning and AI-enabled services, ensuring they are scalable, reliable, and secure. This role blends cloud engineering, container orchestration, infrastructure automation, and AI system support.

You will work closely with AI engineers and software developers to build robust environments for model training, inference, experimentation, and deployment. Your work will directly impact the reliability and performance of AI-driven capabilities used in operational contexts. Responsibilities will include:
* Maintain an active TS/SCI with Polygraph. Candidates without a current clearance will not be considered.
* Design and maintain cloud infrastructure supporting AI applications and services
* Deploy and manage containerized AI workloads in Kubernetes or similar platforms
* Implement infrastructure-as-code for reproducible and scalable environments
* Support AI model inference services and associated APIs
* Build and optimize CI/CD pipelines for AI and data workflows
* Implement monitoring, logging, and observability solutions for AI services
* Troubleshoot infrastructure, networking, and performance issues across AI systems
* Collaborate with AI engineers to ensure environments support experimentation and production use cases
* Ensure infrastructure aligns with security and compliance requirements
* Document architectural decisions and operational procedures Requirements
* Active TS/SCI with Polygraph.
* Experience working in cloud environments (e.g., AWS, Azure, or similar)
* Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
* Experience implementing infrastructure-as-code solutions (Terraform, Cloud Formation, etc.)
* Experience building and maintaining CI/CD pipelines
* Familiarity with Linux system administration
* Understanding of networking fundamentals and cloud architecture principles
* Ability to diagnose and resolve distributed system issues
* Experience using Git-based workflows
* Don't quite meet these requirements? Peep our other prime positions Preferred Skills
* Experience supporting AI/ML model deployment or inference systems
* Familiarity with model serving frameworks or API-based AI integrations
* Experience implementing observability stacks (Grafana, Prometheus, Elastic APM, etc.)
* Familiarity with GPU-enabled workloads and compute scaling
* Experience working with streaming or dataflow systems
* Knowledge of AI system reliability and handling model…