DevOps Engineer (GCP & AI Infrastructure)

We are seeking a DevOps Engineer to design, scale, and maintain cloud infrastructure for an enterprise retail leader supporting over 2,000 stores. In this hands-on role, you will build production-grade infrastructure, automate deployments, and integrate modern AI workflows into our operational stack.

Responsibilities

• Provision and maintain enterprise GCP infrastructure using Terraform and Terraform Enterprise (TFE).
• Build and optimize robust CI/CD pipelines using GitHub Actions and Jenkins.
• Manage containerized workloads across Docker and Kubernetes environments.
• Configure GCP IAM, networking, and security policies to maintain operational compliance.
• Set up observability and monitoring using Grafana, Loki, and Looker dashboards.
• Apply FinOps practices to optimize cloud spend and maintain technical documentation (ADRs).
• Collaborate with teams to integrate LLM and AI agentic tools into DevOps operations.

Requirements

• Hands-on experience architecting and managing GCP environments.
• Advanced expertise with Terraform / Terraform Enterprise (IaC).
• Deep understanding of Linux systems and cloud networking.
• Production experience with Docker, Kubernetes, GitHub Actions, and Jenkins.
• Working knowledge of Grafana and Loki for observability.
• Foundational understanding of LLM/ML concepts and AI agentic workflows.

Nice to have

• Advanced scripting skills in Python or Bash.
• Knowledge of FinOps and cloud cost management.
• Experience managing SQL and NoSQL database infrastructure.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.