Platform Dev Ops Engineer

Markon•Annapolis Junction, MD

6d•$120,000 - $200,000•Onsite

About The Position

PLEX Solutions, A Part of Markon is seeking a Platform Dev Ops Engineer to support a program in the Annapolis Junction, MD area. This role involves providing embedded operations support, capability integration, and rapid prototyping for AI-enabled tools. The engineer will design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure), and develop/optimize engineering workflows for AI model and agent development, deployment, and maintenance. Key responsibilities include architecting and managing CI/CD pipelines, implementing solutions with Docker and Kubernetes, managing control-plane guardrails (identity, policy enforcement, approvals, audit/logging, observability), ensuring efficient AI model and agent lifecycle management, and collaborating with AI/ML engineers and data scientists. The role also requires overseeing system performance, security, and scalability of AI infrastructure, supporting security accreditation (RMF/ATO), and continuously researching new DevOps tools and practices.

Requirements

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

Nice To Haves

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

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