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

Job description

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 proficie…