# AI/ML DevOps Engineer Principal

**Company**: GDIT
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $119,000 - $161,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/Any-Location--Remote/Devops-Engineer-Principal_RQ227438-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_286153e4-bbc

## Description

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.

## Skills

### Required
- AWS
- Kubernetes
- GitLab CI/CD
- Infrastructure As Code (IaC)
- Data Pipelines
- MLOps/AIOps
- FinOps
- Linux
- SQL
- ETL automation

### Nice to have
- Python
- Bash
- Go
- Datadog
- AI/ML frameworks
- vector databases
- enterprise LLM integrations

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Source: [Apply at gdit.wd5.myworkdayjobs.com](https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/Any-Location--Remote/Devops-Engineer-Principal_RQ227438-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)