AI/ML DevOps Engineer Principal

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Software Engineering

Job Qualifications:

Skills:

Data Pipelines, DevOps, GitLab CI/CD, Infrastructure As Code (IaC), Kubernetes

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

DEVOPS ENGINEER PRINCIPAL (100% Remote)

Role Overview
We are seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services that support modern application development and AI-driven solutions. This role centers on AWS, Kubernetes (Amazon EKS), Infrastructure as Code, CI/CD automation, and data platform engineering, with an emphasis on AI, MLOps/AIOps, FinOps, and cloud-native best practices.

Key Responsibilities
• Design, deploy, and manage cloud-native infrastructure on AWS using GitLab CI/CD.
• Build and support Kubernetes platforms (Amazon EKS) with a focus on scalability, security, and high availability.
• Develop and automate ETL workflows and data pipelines for analytics and AI workloads.
• Implement and support MLOps/AIOps and FinOps capabilities, including AI infrastructure and model deployment pipelines.
• Troubleshoot Linux-based systems, optimize platform performance, and enforce operational best practices.

Required Qualifications
• 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
• Hands-on expertise with AWS, Amazon EKS, Linux, and GitLab CI/CD.
• Strong experience with SQL, ETL automation, and building scalable data pipelines.
• Experience implementing or supporting AI, MLOps, or AIOps platforms.
• Strong scripting and automation skills, with a focus on cloud-native technologies.

Preferred Skills
• Experience with Python, Bash, or Go for automation and platform development.
• Knowledge of container security, Kubernetes networking, and observability tools.
• Familiarity with monitoring platforms such as Datadog.
• Experience with AI/ML frameworks, vector databases, or enterprise LLM integrations.
• AWS certifications (e.g., Solutions Architect Associate, DevOps Engineer, or Kubernetes-focused certifications).

The likely salary range for this position is $119,000 - $161,000. 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.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans