Senior DevOps Engineer (GCP, AI/ML Platform)
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.
Essential functions
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.
Qualifications
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.
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.Apply to the position
Information on personal data processing
You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”
Applications for this job are no longer accepted. Please explore other open opportunities on our platform.
Thank you!
You applied for the position Senior DevOps Engineer (GCP, AI/ML Platform) successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
Something went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
Don’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.