Conductor AI
Platform Engineer
About this role
Build and deploy AI-powered applications to secure, classified environments as a DevOps Engineer supporting mission-critical infrastructure. You'll manage containerization, orchestration, CI/CD pipelines, and system accreditation while working on a small technical team in Washington, DC with an active DoD security clearance.
What you'll do
- Design and maintain multi-environment system architecture supporting AI models, backend APIs, and frontend applications
- Deploy software to classified customer networks, including on-site installation and configuration work
- Write and optimize Dockerfiles to create secure, hardened images with minimal vulnerabilities
- Develop and improve Helm charts for multi-cluster Kubernetes deployments across cloud and on-premises infrastructure
- Enhance GitHub Actions CI/CD pipelines for reliable application and dependency updates
- Enable compliance with security standards including FedRAMP, IL5, IL6, and NIST 800-53
What they're looking for
- Docker containerization
- Kubernetes and Helm
- CI/CD pipeline development
- System architecture design
- FedRAMP and NIST 800-53 compliance
- Multi-cloud deployment strategies
- Cybersecurity best practices
- LLM deployment (preferred)
Benefits
- Competitive salary with annual merit increases based on impact
- Significant equity upside
- Real impact on mission-critical workflows
- Opportunity to shape role and processes as company grows
- Work with state-of-the-art technology
- Small, tight-knit technical team environment
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Conductor AI
Conductor AI builds AI-powered document processing solutions for government and commercial sectors. The company is hiring forward-deployed software engineers and full stack engineers to configure its platform, gather customer feedback, and develop production code across Python, TypeScript, and web technologies.
- Industry
- Technology & Software
Likely interview questions
- Describe your experience deploying applications to air-gapped or classified environments—what were the key challenges?
- Walk us through how you've optimized Docker images for security and vulnerability reduction in production systems.