Lead 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 Lead Cloud Automation Engineer to strengthen our Automation Engineering team. The role demands deep expertise in cloud infrastructure automation and DevOps, combined with solid knowledge in Infrastructure-as-Code (IaC) tools, generative AI, machine learning and AIOps. The successful candidate will be pivotal in enhancing our AIOps capabilities using generative AI models for anomaly detection, predictive maintenance and root cause analysis in a cloud environment. #LI-DNI #EasyApply Responsibilities Design, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC tools Enhance automation frameworks for infrastructure deployment across multiple cloud platforms Develop, manage and integrate GenAI service catalog code generation models with cloud automation pipelines Design and implement CI/CD pipelines to automate builds, testing and deployments Write and maintain automation scripts using Python, Bash or similar languages Design and develop generative AI models for AIOps applications using frameworks such as RAG with Langchain Utilize Vector Document Sources and Vector Database Sources in the context of generative AI Implement data streaming and manage cloud data lakes for AI model training Integrate generative AI models with existing AIOps platforms to enhance operational efficiency Collaborate with cross-functional teams to optimize cloud automation processes Research and implement new automation tools and techniques to improve efficiency Requirements Bachelor's or Master's degree in Computer Science, Engineering or a related field 8+ years of experience with IaC tools, including Terraform and CloudFormation Proven experience deploying generative AI models like RAG and understanding transformers Strong proficiency in Python and GenAI frameworks, such as RAG and Agentic Workflow Ability to build and manage Vector Document Sources using systems like Opensearch or Amazon Kendra Competency in creating Vector Database Sources with cloud or non-cloud databases Skills in data preparation, labeling and feature engineering for AI models Experience with cloud data lakes and vector databases for AI training Ability to create and manage the agentic workflow using ReAct Pattern or other GenAI platforms Expertise in developing CI/CD pipelines for a range of cloud automation cases Nice to have Familiarity with Cloud GenAI platforms like Bedrock Agents Experience integrating multi-agent systems for data aggregation in agentic workflows Knowledge of MLOps pipelines for deploying and monitoring AI models We offer 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.)