Sr. Full Stack Software Engineer; AI Infrastructure Security Clearance

Position: Sr. Full Stack Software Engineer (AI 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 Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a senior full-stack software engineer to support our AI infrastructure team. In this role, you'll lead the development and operation of critical AI platform components, with a focus on scalable inference services and the broader AI application ecosystem.

This role includes project leadership responsibilities and people care for a small, integrated team within a larger AI platform organization. Responsibilities will include:
* Maintain an active TS/SCI with Polygraph. Candidates without a current clearance will not be considered.
* Design, implement, and optimize infrastructure for AI model inference at scale.
* Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
* Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams.
* Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members.
* Act as the team point of contact (POC) for contract administration functions.
* Navigate ambiguity and define solutions for complex, under specified systems and requirements.
* Establish new technical policies, standards, and governance frameworks where gaps exist.
* Drive adoption of new technologies and practices across engineering teams.
* Implement and oversee monitoring, logging, and observability solutions for AI services.
* Ensure high availability, reliability, performance, and security of AI platform components.
* Communicate effectively with stakeholders at multiple organizational levels. Requirements
* Active TS/SCI with Polygraph.
* Extensive experience designing, building, and operating large-scale production systems.
* Deep expertise in systems integration across diverse technologies and platforms.
* Hands-on experience with cloud engineering in AWS.
* Advanced proficiency with Kubernetes administration and deployment patterns
* Strong Python programming skills.
* Experience implementing and scaling observability solutions (APM, Open Telemetry, Grafana, Prometheus).
* Proven ability to lead technical initiatives and influence organizational change.
* Experience developing technical policies and governance frameworks.
* Excellent communication, stakeholder management, and leadership skills.
* Ability to balance hands-on engineering with leadership and coordination responsibilities.
* Twelve (12) years with a Bachelor's or four (4) additional years without the degree.
* Don't quite meet these…