AI/ML DevOps Engineer Principal

Clearance Level

None

Category

Software Engineering

Location

Remote, Working from the USA

Key Skills For Success

Data Pipelines

DevOps

GitLab CI/CD

Infrastructure As Code (IaC)

Kubernetes

**REQ#:**RQ227438

**Public Trust:**BI Full 6C (T4)

**Requisition Type:**Regular

Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by delivering solutions that improve citizen services millions depends on.

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).

Work Requirements

Years of Experience

5 + years of related experience

• may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

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.

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.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans