Senior Platform Engineer

EPAM Systems, Inc.; Coimbatore District; On-site; INR 2,000,000 - 3,200,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

EPAM Systems, Inc. is seeking a Senior Platform Engineer to design and build automated cloud infrastructure, integrate generative AI into AIOps, and drive innovation across automation processes.

You will develop IaC, build deployment frameworks, and work with LangChain, Bedrock, Vertex AI, and other platforms to deploy RAG workflows and AI-powered automation across diverse environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in cloud infrastructure automation, scripting, and DevOps.
• Proficiency in IaC tools like Terraform, CloudFormation, or similar.

Responsibilities

• Design and develop automated workflows for cloud infrastructure provisioning using IaC tools like Terraform.
• Build frameworks to support deployment, configuration, and management across diverse cloud environments.
• Develop and manage service catalog components, integrating with platforms like Backstage.
• Implement GenAI models to enhance service catalog functionality and code quality across automation pipelines.
• Design and implement CI/CD pipelines and maintain CI pipeline code for cloud automation use cases.
• Write scripts to support cloud deployment orchestration using Python, Bash, or other scripting languages.
• Design and deploy generative AI models for AIOps applications such as anomaly detection and predictive maintenance.
• Work with LangChain, Bedrock, Vertex AI, and Azure AI to deploy RAG workflows.
• Build and optimize vector databases and document sources using OpenSearch or Amazon Kendra.
• Prepare and label data for generative AI models, ensuring scalability and integrity.
• Integrate generative AI models with operational systems and AIOps platforms for enhanced automation.
• Develop and maintain MLOps pipelines to monitor and mitigate model decay.

Skills

Python

DevOps

MLOps

Observability

CI/CD

AI/ML fundamentals

Tools

Terraform

CloudFormation

Backstage

OpenSearch

Amazon Kendra

Bedrock

Vertex AI

Azure AI

LangChain

LangGraph

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 seeking a Senior Platform Engineer to design and build automated cloud infrastructure solutions, integrate generative AI capabilities into AIOps platforms, and drive innovation across cloud automation processes. The ideal candidate will bring deep expertise in DevOps, MLOps, and observability tools to enhance operational efficiency and service delivery.ResponsibilitiesDesign and develop automated workflows for cloud infrastructure provisioning using IaC tools like TerraformBuild frameworks to support deployment, configuration, and management across diverse cloud environmentsDevelop and manage service catalog components, ensuring integration with platforms like BackstageImplement GenAI models to enhance service catalog functionality and code quality across automation pipelinesDesign and implement CI/CD pipelines and maintain CI pipeline code for cloud automation use casesWrite scripts to support cloud deployment orchestration using Python, Bash, or other scripting languagesDesign and deploy generative AI models for AIOps applications such as anomaly detection and predictive maintenanceWork with frameworks like LangChain or cloud platforms such as Bedrock, Vertex AI, and Azure AI to deploy RAG workflowsBuild and optimize vector databases and document sources using tools like OpenSearch, Amazon Kendra, or equivalent solutionsPrepare and label data for generative AI models, ensuring scalability and integrityCreate agentic workflows using frameworks like LangGraph or cloud GenAI platforms such as Bedrock AgentsIntegrate generative AI models with operational systems and AIOps platforms for enhanced automationEvaluate AI model performance and ensure continuous optimization over timeDevelop and maintain MLOps pipelines to monitor and mitigate model decayCollaborate with cross-functional teams to drive innovation and improve cloud automation processesResearch and recommend new tools and best practices to enhance operational efficiencyRequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field5+ years of experience in cloud infrastructure automation, scripting, and DevOpsProficiency in IaC tools like Terraform, CloudFormation, or similarExpertise in Python, cloud AI frameworks such as LangChain, and generative AI workflowsBackground in developing and deploying AI models such as RAG or transformersProficiency in building vector databases and document sources using solutions like OpenSearch or Amazon KendraCompetency in preparing and labeling datasets for AI models and optimizing data inputsFamiliarity with cloud platforms including AWS, Google Cloud, or AzureCapability to implement MLOps pipelines and monitor AI system performanceNice to haveKnowledge of agentic architectures such as React and flow engineering techniquesBackground in using Bedrock Agents or LangGraph for workflow creationUnderstanding of integrating generative AI into legacy or complex operational systemsWe 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.)