Platform DevOps Engineer

Markon

. Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of the customer .

Posted 10/9/2026full-timeAnnapolis Junction • Maryland • United StatesSeniorLead💰 $120,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in DevOps principles and practices, with expertise in containerization using Docker and Kubernetes, and a strong background in architecting and managing CI/CD pipelines for AI applications. Familiarity with cloud platforms such as AWS and Microsoft Azure, along with experience in AI model lifecycle management, is essential.

Highest-signal resume keywords

Active TS/SCI ClearanceDevOps Principles and PracticesDocker and Kubernetes ExpertiseCI/CD Pipeline ManagementAI Model Lifecycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Infrastructure DesignAI Application DevelopmentCI/CD Pipeline ArchitectureContainerizationInfrastructure as Code (IaC)AI Model DeploymentMonitoring and LoggingVersioning and ScalingSecurity AccreditationEngineering Workflow Optimization

Soft Skills

Excellent CommunicationInterpersonal SkillsCollaboration with Cross-Functional Teams

Tools & Technologies

AWSMicrosoft AzureDockerKubernetesTerraformAnsiblePrometheusGrafanaELK Stack

Industry Keywords

AI-Enabled ToolsRapid PrototypingControl-Plane GuardrailsPolicy EnforcementAudit/LoggingObservabilityContinuous LearningMachine Learning ConceptsDevOps Tools and PracticesRMF/ATO

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGrafanaKubernetesPrometheusTerraformTypeScript

About the role

Key responsibilities & impact

Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of the customer
Design, implement, and maintain robust cloud infrastructure for enterprise AI applications using AWS and Microsoft Azure
Develop and optimize engineering workflows and processes for AI model and agent development, deployment, and maintenance
Architect and manage CI/CD pipelines for continuous integration and delivery of AI models, agents, and applications
Implement and manage solutions using Docker and Kubernetes
Build and maintain control-plane guardrails, including 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
Support security accreditation (RMF/ATO) of AI systems
Research and implement new DevOps tools and practices to enhance efficiency

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Training and Tuition Assistance
Paid Time Off
Holidays
Professional growth and development opportunities
Equal Opportunity Employer