Lead Platform Engineer

EPAM Systems; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems in Chennai is seeking an experienced Lead Platform Engineer to design and automate cloud infrastructure, build scalable deployment frameworks, and integrate GenAI workflows across multiple environments.

You will lead the automation engineering team, implement MLOps pipelines, work with LangChain, Bedrock, Vertex AI, and ensure robust AI-driven operations while collaborating with cross-functional teams to push innovation and efficiency in cloud operations.

Qualifications

• 7+ years in cloud automation, scripting and DevOps.
• Strong IaC experience with Terraform or CloudFormation.
• Proficient in Python and AI model deployment workflows.
• Experience with GenAI and MLOps pipelines.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure).

Responsibilities

• Design automated IaC workflows for cloud provisioning.
• Develop deployment frameworks across multi-cloud environments.
• Build service catalog components and integrate with Backstage.
• Implement GenAI models to enhance automation pipelines.
• Create and maintain CI/CD pipelines for cloud automation.
• Prepare data and label datasets for AI models.
• Develop MLOps pipelines and monitor model decay.
• Collaborate with cross-functional teams to drive innovation.

Skills

Cloud automation

IaC tooling

Python scripting

AI/ML model deployment

MLOps

GenAI workflows

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Backstage

LangChain

Bedrock

Vertex AI

Azure AI

OpenSearch

Amazon Kendra

Job description

We are seeking an experienced Lead Platform Engineer to join our Automation Engineering team.

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, ensuring integration 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 frameworks like LangChain or cloud platforms such as Bedrock, Vertex AI, and Azure AI to deploy RAG workflows
• Build and optimize vector databases and document sources using tools like OpenSearch, Amazon Kendra, or equivalent solutions
• Prepare and label data for generative AI models, ensuring scalability and integrity
• Create agentic workflows using frameworks like Langraph or cloud GenAI platforms such as Bedrock Agents
• Integrate generative AI models with operational systems and AIOps platforms for enhanced automation
• Evaluate AI model performance and ensure continuous optimization over time
• Develop and maintain MLOps pipelines to monitor and mitigate model decay
• Collaborate with cross-functional teams to drive innovation and improve cloud automation processes
• Research and recommend new tools and best practices to enhance operational efficiency

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 7+ years of experience in cloud infrastructure automation, scripting, and DevOps
• Strong proficiency in IaC tools like Terraform, CloudFormation, or similar
• Expertise in Python, cloud AI frameworks such as LangChain, and generative AI workflows
• Demonstrated background in developing and deploying AI models such as RAG or transformers
• Proficiency in building vector databases and document sources using solutions like OpenSearch or Amazon Kendra
• Competency in preparing and labeling datasets for AI models and optimizing data inputs
• Familiarity with cloud platforms including AWS, Google Cloud, or Azure
• Capability to implement MLOps pipelines and monitor AI system performance

Nice to have

• Knowledge of agentic architectures such as React and flow engineering techniques
• Background in using Bedrock Agents or Langraph for workflow creation
• Understanding of integrating generative AI into legacy or complex operational systems