Senior Cloud Automation Engineer (DevOps, AI/ML/Gen-AI)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a skilled Senior Cloud Automation Engineer to enhance our Automation Engineering team.
This role demands a deep understanding and demonstrated expertise in cloud infrastructure automation, DevOps, scripting, and generative AI, including AIOps capabilities like anomaly detection and predictive maintenance. The ideal candidate will be proficient in designing, developing, and maintaining generative AI models and Infrastructure-as-Code tools in diverse cloud environments.

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• Design, develop, and maintain automated workflows for cloud infrastructure using tools like Terraform
• Build and enhance automation frameworks for infrastructure deployment and management across multiple cloud platforms
• Develop and manage service catalog components integrated with automation platforms like Backstage
• Implement Continuous Integration and Continuous Deployment pipelines to automate code builds and deployments
• Maintain scripts for automation tasks using Python, Bash
• Serve as a deployment orchestrator for automated deployments across cloud environments
• Design and implement generative AI models for varying AIOps applications
• Utilize frameworks like RAG with Langchain on cloud platforms for developing AI models
• Build and manage data frameworks necessary for AI modeling using tools like Opensearch or Amazon Kendra
• Conduct data preparation, labeling and vector encoding to support AI model efficacy
• Create agentic workflows tailored for application-specific requirements and integrate AI models with existing AIOps platforms
• Collaborate with cross-functional teams to optimize cloud automation processes and continuously integrate new automation tools and best practices

• Bachelor's or Master's degree in Computer Science, Engineering or a related field
• 5 to 8 years' experience proficiently utilizing IaC tools such as Terraform, CloudFormation
• Demonstrated experience in developing and deploying generative AI models like RAG (Retrieval-Augmented Generation)
• Strong proficiency in Python and GenAI frameworks
• Extensive background in generative AI, machine learning and AIOps
• Familiarity with data streaming solutions for real-time data processing and insight generation
• Experience creating and managing cloud data lakes and vector databases for AI training
• Proficiency in developing CI/CD pipelines and scripting for diverse cloud automation use cases

• Experience with AIOps platforms integration
• Advanced knowledge in vector database management
• Expertise in complex generative AI workflows and model performance evaluation

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)