Kubernetes Engineer - TS/SCI with Polygraph

General Dynamics Information Technology

7d • $170,000 - $230,000 • Onsite

About The Position

Advance how our customers operate while you advance your career. Join GDIT as a Cloud Engineer with Kubernetes container platform expertise and build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. MEANINGFUL WORK AND PERSONAL IMPACT As a Kubernetes Engineer, the work you’ll do at GDIT will be impactful to the mission of our customer directly supporting national security. You will play a crucial role in creating stable, reliable and a performant platform for mission-critical workloads. Manage and maintain the Kubernetes cluster, including node management, pod scaling, and resource allocation Ensure high availability and scalability of the Al/ML analytics platform, including monitoring and troubleshooting of issues Manage and maintain dashboards for observability tools such as Grafana and Prometheus Collaborate with data scientists and engineers to deploy and manage Al/ML models, including monitoring, and logging Develop and maintain automation scripts and tools to streamline platform management and deployment Troubleshoot and resolve issues related to platform performance, including debugging and optimizing containerized applications Collaborate with cross-functional teams to ensure seamless integration with other systems and tools WHAT YOU’LL NEED TO SUCCEED Education: Bachelor's Degree or relevant experience Experience: 8+ years of related experience with 3+ years of experience in system administration, with a focus on Kubernetes and containerized applications Technical skills required: Strong knowledge of Kubernetes architecture, including pods, services, deployments, and persistent storage Proficiency in scripting languages, such as Python, Bash, or PowerShell Experience with cloud platforms, such as AWS, GCP, or Azure Excellent problem-solving and troubleshooting skills, with the ability to debug complex issues Security clearance level: TS/SCI with Polygraph Desired skills and abilities: Certification in Kubernetes administration, such as CKA or CKAD Dashboarding with Grafana Familiarity with OpenSearch Dashboard Experience with Cl/CD tools, such as Jenkins, GitLab Cl/CD GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. #GDITCareers #JET #GDITEnhanced2025 The likely salary range for this position is $170,000 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Requirements

• Bachelor's Degree or relevant experience
• 8+ years of related experience with 3+ years of experience in system administration, with a focus on Kubernetes and containerized applications
• Strong knowledge of Kubernetes architecture, including pods, services, deployments, and persistent storage
• Proficiency in scripting languages, such as Python, Bash, or PowerShell
• Experience with cloud platforms, such as AWS, GCP, or Azure
• Excellent problem-solving and troubleshooting skills, with the ability to debug complex issues
• TS/SCI with Polygraph

Nice To Haves

• Certification in Kubernetes administration, such as CKA or CKAD
• Dashboarding with Grafana
• Familiarity with OpenSearch Dashboard
• Experience with Cl/CD tools, such as Jenkins, GitLab Cl/CD

Responsibilities

• Manage and maintain the Kubernetes cluster, including node management, pod scaling, and resource allocation
• Ensure high availability and scalability of the Al/ML analytics platform, including monitoring and troubleshooting of issues
• Manage and maintain dashboards for observability tools such as Grafana and Prometheus
• Collaborate with data scientists and engineers to deploy and manage Al/ML models, including monitoring, and logging
• Develop and maintain automation scripts and tools to streamline platform management and deployment
• Troubleshoot and resolve issues related to platform performance, including debugging and optimizing containerized applications
• Collaborate with cross-functional teams to ensure seamless integration with other systems and tools

Benefits

• Comprehensive benefits and wellness packages
• 401K with company match
• Competitive pay and paid time off
• full flex work weeks where possible
• variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• short and long-term disability benefits
• life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees