Lead Platform Engineer

EPAM Systems; Coimbatore District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

EPAM Systems in India is seeking an experienced Lead Platform Engineer to join our Automation Engineering team. You will shape cloud automation, AI-driven solutions for AIOps, and DevOps practices across hybrid cloud environments.

This role emphasizes IaC, GenAI integration, and scalable MLOps pipelines, collaborating with cross-functional teams to innovate operational efficiency and build robust automation platforms using Terraform, LangChain, and Backstage.

Qualifications

• 7+ years in cloud automation, scripting, and DevOps.
• Degree in CS/Engineering or related field.
• Proficiency in Terraform, CloudFormation, or similar IaC.
• Python and LangChain, plus generative AI workflows.
• Experience developing and deploying AI models (RAG/transformers).
• Experience with vector DBs like OpenSearch or Kendra.
• Familiarity with AWS, GCP, and Azure.

Responsibilities

• Design and develop automated workflows for cloud infrastructure provisioning.
• Build frameworks for deployment, configuration, and management across clouds.
• Develop and manage service catalog components with Backstage.
• Implement GenAI models to enhance automation pipelines.
• Design and deploy CI/CD pipelines for cloud automation.
• Write scripts in Python, Bash for deployment orchestration.
• Design and deploy generative AI models for AIOps applications.
• Work with LangChain or cloud GenAI platforms to deploy RAG workflows.
• Build and optimize vector databases and document sources.
• Prepare and label data for generative AI models.

Skills

Cloud infrastructure automation

DevOps practices

Python

LangChain

Generative AI workflows

Education

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

Tools

Terraform

CloudFormation

OpenSearch

Amazon Kendra

LangChain

Bedrock

Vertex AI

Azure AI

Langraph

Backstage

Job description

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

The ideal candidate will excel in cloud infrastructure automation, generative AI, and machine learning, with a strong foundation in DevOps practices and modern scripting tools. This role involves designing cutting‑edge AI‑driven solutions for AIOps while innovating cloud automation processes to optimize operational efficiency.

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