Summary
✨ AI‑Generated
A growing engineering team is looking for a Senior DevOps Engineer to design cloud-native solutions, automate infrastructure, and support AI-powered platforms. The role requires strong cloud expertise and experience building scalable distributed systems.
Highlights
Work on advanced cloud infrastructure and AI-driven operations platforms with opportunities to build scalable systems and collaborate across engineering teams.
Description
Are you a DevOps Engineer with strong GCP experience?
We are expanding our high-performing engineering team to build a next-generation, AI-driven Operations platform for a leading enterprise client.
This is a unique opportunity to blend cutting-edge Artificial Intelligence with modern cloud infrastructure and DevOps practices!
You will be joining an agile team to develop advanced AI agentic solutions, build API connectors, and automate complex cloud environments.
Responsibilities:
Develop and scale a next-generation AI-based OPS platform.Collaborate across cross-functional teams to gather requirements and build robust API connectors.Write, test, and verify infrastructure and application code to ensure seamless deployments.Architect, deploy, and maintain scalable microservices in a cloud-native ecosystem.
Min requirements:
Experience: 5+ years of hands-on experience in DevOps, Cloud Engineering, or Software Engineering with a strong infrastructure focus.AI & Machine Learning: Strong understanding of LLM/ML fundamentals and AI agentic workflows.Cloud & Infrastructure: Deep expertise in Google Cloud Platform (GCP) and Infrastructure as Code (Terraform).Containers & CI/CD: Hands-on experience with Docker, Kubernetes, GitHub Actions, and Jenkins.Systems & Networking: Solid grasp of Linux systems, cloud networking, and security best practices.Observability: Proficiency in monitoring and logging tools, specifically Grafana and Loki.
Would be a plus:
Advanced Python scripting skills for task automation and microservice development.Familiarity with GCP IAM, SQL/NoSQL databases, and FinOps (cloud cost optimization).Experience with Looker dashboards and maintaining technical documentation like ADRs.
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.
