DevOps Engineer-Client W2

New: Fannie Mac- DevOps Engineer- Reston VA- onsite interview - $65-70/hr w2

Senior DevOps Engineer

Reston VA- onsite Hybrid 3 days onsite

Through 12/31/2026 with possible extension thereafter

Job Description:

• Develop and maintain financial software applications.
• Work closely with the finance team to understand their needs and translate them into functional software.
• Test software to ensure responsiveness and efficiency.
• Identify, prioritize and execute tasks in the software development life cycle.
• Collaborate with internal teams and vendors to fix and improve products.
• 8 to 10 years

Overview:

• Client is looking for a DevOps Engineer to own CI/CD, platform automation, and infrastructure as code supporting ML and analytics workloads.
• The ideal candidate will have deep experience with GitLab CI/CD, cloud infrastructure, and operational excellence across AWS environments.

Responsibilities:

• Own CI/CD pipelines and automation for build, test, and deployment processes.
• Develop and maintain GitLab pipelines with manual approval gates for controlled promotions.
• Manage Terraform IaC and provision dev/test/prod environments.
• Build and maintain secure, scalable container images and deployment configurations.
• Implement observability, logging, rollback strategies, and cost monitoring processes.
• Collaborate with platform, ML engineering, security, and governance teams to ensure reliability and compliance.

Required Skills and Experience:

• Hands-on experience with GitLab CI/CD
• Strong Terraform IaC expertise
• Proficiency with Docker and Kubernetes
• Experience with AWS services, including IAM, ECR, ECS/EKS, and SageMaker
• Knowledge of observability practices, cost monitoring, and cloud operations
• Background in AWS and AI engineering best practices

174694 Submission format - please complete in full:

First Middle Last Name

Pay Rate:

Skill Highlights- please indicate the # of years on each of the following skills:

• Experience with GitLab CI/CD
• Terraform IaC expertise
• Docker
• Kubernetes
• Experience with AWS services:

• • IAM
  • ECR
  • ECS
  • EKS

• SageMaker
• Observability practices, cost monitoring, and cloud operations
• AWS
• AI engineering best practices