DevOps Engineer

CGI•Reston, VA

1d•Hybrid

About The Position

We are seeking an experienced DevOps Engineer to lead the design and management of CI/CD pipelines, infrastructure automation, and cloud platform operations supporting machine learning and analytics workloads. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years! This role is located at a client site in either Reston, VA or Plano, TX. A hybrid working model is acceptable. In this role, you will be responsible for building reliable deployment pipelines, managing infrastructure as code, and ensuring scalable, secure environments across AWS. You'll work closely with engineering, platform, and security teams to enable efficient delivery while maintaining high standards for operational excellence, compliance, and cost optimization. This is a hybrid role based in Reston, VA, requiring three days onsite and two days remote each week.

Requirements

5+ years of relevant DevOps or cloud engineering experience
Strong hands-on experience building and maintaining CI/CD pipelines, particularly with GitLab
Solid background in infrastructure as code, especially using Terraform
Comfortable working with containerization and orchestration tools like Docker and Kubernetes
Good understanding of AWS services (IAM, ECR, ECS/EKS, SageMaker) and cloud-native architecture
Experience setting up monitoring, logging, and observability frameworks
Ability to implement deployment safeguards such as approval gates and rollback strategies
Familiarity with cost monitoring and optimizing cloud resource usage
Experience collaborating across teams, including ML engineering, platform, and security
Practical understanding of DevOps best practices in both cloud and AI/ML environments
Bachelor's degree in Computer Science, Information Systems, or a related field

Responsibilities

Lead the design and management of CI/CD pipelines, infrastructure automation, and cloud platform operations supporting machine learning and analytics workloads
Building reliable deployment pipelines
Managing infrastructure as code
Ensuring scalable, secure environments across AWS
Work closely with engineering, platform, and security teams to enable efficient delivery while maintaining high standards for operational excellence, compliance, and cost optimization