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# Platform Dev Ops Engineer

- **Company:** Markon Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, Machine Learning, Rapid Prototyping Process, Ansible, Prometheus, Management of Software Versions, AI Infrastructure, Data Logging, Delivery Pipeline, Grafana, Plex, Kubernetes, Infrastructure Automation Frameworks, Terraform, Docker, Elk Stack
- **Published:** October 10, 2026
- **Apply:** https://diversityjobs.com/career/18601866/Platform-Dev-Ops-Engineer-Maryland-Annapolis-Junction

## About the Role

* Active TS/SCI w/ Polygraph
 * Bachelor's degree in a relevant technical field with 10+ years of experience, or Master's degree in a relevant technical field with 8+ years of experience
 * Advanced proficiency in DevOps principles and practices
 * Demonstrated expertise in containerization using Docker and Kubernetes
 * Proven experience in architecting and managing CI/CD pipelines
 * Extensive experience with AI model lifecycle management and maintenance, * Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management.
 * Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
 * Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
 * Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
 * Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements

## Description

PLEX Solutions, A Part of Markon is seeking a Platform Dev Ops Engineer to support a program in the Annapolis Junction, MD area.
Responsibilities
Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer.

 * Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud
 * (AWS, Microsoft Azure)
 * Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance.
 * Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications..
 * Implement and manage solutions using Docker and Kubernetes, and build and maintain control-plane guardrails - identity, policy enforcement, approvals, audit/logging, and observability.
 * Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling.
 * Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
 * Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems.
 * Continuously research and implement new DevOps tools and practices to enhance efficiency