devops engineer AI/ML Platform

Grid Dynamics is a technology consulting, platform and product engineering, AI, and advanced analytics services provider. It helps enterprise companies address technical challenges and achieve business outcomes during business transformation.

• 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.

• 5+ Years of hands-on experience in DevOps, Cloud Engineering, or Software Engineering with a strong infrastructure focus;
• Strong understanding of LLM/ML fundamentals and AI agentic workflows;
• Deep expertise in Google Cloud Platform (GCP) and Infrastructure as Code (Terraform);
• Hands-on experience with Docker, Kubernetes, GitHub Actions, and Jenkins;
• Solid grasp of Linux systems, cloud networking, and security best practices;
• Proficiency in monitoring and logging tools, specifically Grafana and Loki;
• Nice to have: 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.

• Competitive salary;
• Flexible schedule;
• Benefits package including medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.