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 skilledLead Cloud Automation Engineerto 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.
Want more jobs like this?GetjobsinHyderabad, Indiadelivered to your inbox every week.
Want more jobs like this?
GetjobsinHyderabad, Indiadelivered to your inbox every week.
Get Jobs
#LI-DNI#EasyApplyResponsibilitiesDesign, develop and maintain automated workflows for cloud infrastructure using Terraform and other IaC toolsEnhance automation frameworks for infrastructure deployment across multiple cloud platformsDevelop, manage and integrate GenAI service catalog code generation models with cloud automation pipelinesDesign and implement CI/CD pipelines to automate builds, testing and deploymentsWrite and maintain automation scripts using Python, Bash or similar languagesDesign and develop generative AI models for AIOps applications using frameworks such as RAG with LangchainUtilize Vector Document Sources and Vector Database Sources in the context of generative AIImplement data streaming and manage cloud data lakes for AI model trainingIntegrate generative AI models with existing AIOps platforms to enhance operational efficiencyCollaborate with cross-functional teams to optimize cloud automation processesResearch and implement new automation tools and techniques to improve efficiencyRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or a related field8+ years of experience with IaC tools, including Terraform and CloudFormationProven experience deploying generative AI models like RAG and understanding transformersStrong proficiency in Python and GenAI frameworks, such as RAG and Agentic WorkflowAbility to build and manage Vector Document Sources using systems like Opensearch or Amazon KendraCompetency in creating Vector Database Sources with cloud or non-cloud databasesSkills in data preparation, labeling and feature engineering for AI modelsExperience with cloud data lakes and vector databases for AI trainingAbility to create and manage the agentic workflow using ReAct Pattern or other GenAI platformsExpertise in developing CI/CD pipelines for a range of cloud automation casesNice to haveFamiliarity with Cloud GenAI platforms like Bedrock AgentsExperience integrating multi-agent systems for data aggregation in agentic workflowsKnowledge of MLOps pipelines for deploying and monitoring AI modelsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)
