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 skilledSenior Cloud Automation Engineerto 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.
Want more jobs like this?GetjobsinChennai, Indiadelivered to your inbox every week.
Want more jobs like this?
GetjobsinChennai, Indiadelivered to your inbox every week.
Get Jobs
#LI-DNI#EasyApplyResponsibilitiesDesign, develop, and maintain automated workflows for cloud infrastructure using tools like TerraformBuild and enhance automation frameworks for infrastructure deployment and management across multiple cloud platformsDevelop and manage service catalog components integrated with automation platforms like BackstageImplement Continuous Integration and Continuous Deployment pipelines to automate code builds and deploymentsMaintain scripts for automation tasks using Python, BashServe as a deployment orchestrator for automated deployments across cloud environmentsDesign and implement generative AI models for varying AIOps applicationsUtilize frameworks like RAG with Langchain on cloud platforms for developing AI modelsBuild and manage data frameworks necessary for AI modeling using tools like Opensearch or Amazon KendraConduct data preparation, labeling and vector encoding to support AI model efficacyCreate agentic workflows tailored for application-specific requirements and integrate AI models with existing AIOps platformsCollaborate with cross-functional teams to optimize cloud automation processes and continuously integrate new automation tools and best practicesRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or a related field5 to 8 years' experience proficiently utilizing IaC tools such as Terraform, CloudFormationDemonstrated experience in developing and deploying generative AI models like RAG (Retrieval-Augmented Generation)Strong proficiency in Python and GenAI frameworksExtensive background in generative AI, machine learning and AIOpsFamiliarity with data streaming solutions for real-time data processing and insight generationExperience creating and managing cloud data lakes and vector databases for AI trainingProficiency in developing CI/CD pipelines and scripting for diverse cloud automation use casesNice to haveExperience with AIOps platforms integrationAdvanced knowledge in vector database managementExpertise in complex generative AI workflows and model performance evaluationWe 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.)
