Software Engineer; SWE), Level 3
Listed on 2026-10-30
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Software Development
DevOps, AI Engineer (Applied/Software), Cloud Engineer - Software
An active TS//SCI clearance with polygraph is required for this role
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 ForBitwise 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
We're looking for a Software Engineer to join our team and take ownership of the platform layer that delivers AI/ML capabilities to our mission. Your focus will be on Dev Ops, platform engineering, and infrastructure automation — building the reliable, scalable infrastructure and deployment pipelines that keep our most critical services running without interruption.
You will deploy and manage containerized AI/ML services in on-premises environments, implement comprehensive observability and monitoring solutions that track system health and usage patterns, and build CI/CD pipelines that enable rapid, resilient delivery of AI technologies. Working collaboratively with data scientists and system administrators, you'll design infrastructure patterns that ensure high availability and performance while translating operational requirements into platform engineering solutions.
Your work will be infrastructure-as-code, containerization, and orchestration — not application development — and it will matter deeply to the mission.
- 12 years of experience in software engineering, OR a B.S. in a technical discipline plus 8 years of experience
- Experience deploying and managing services in on-premises infrastructure environments
- Production experience with service containerization and orchestration using Docker and Kubernetes
- Hands-on experience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms
- Knowledge of CI/CD pipelines and Git Ops workflows
- Proficiency with version control systems (git)
- Working knowledge of Atlassian Tools (Jira, Confluence)
- Experience with model serving technologies (vLLM, Torch Serve, Tensor Flow Serving, Triton Inference Server)
- Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama)
- Experience with service mesh technologies (Istio, Linkerd) or advanced Kubernetes patterns
- Awareness of the current AI/ML landscape, including emerging models, capabilities, and their applicability to different use cases
- Knowledge of end-to‑end SIGINT collection and analysis systems
- Experience with production CNO capabilities and operations
- Top salaries because we're top performers
- Pick your PTO — Everyone values time and money differently, so we give you the…
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