Lead Platform Engineer

EPAM Systems; Gurugram District; Hybrid; INR 350,000 - 600,000; Full time

Job summary

EPAM Systems seeks an experienced Lead Platform Engineer to join our Automation Engineering team in advancing cloud infrastructure automation. You will design IaC-driven workflows, build deployment frameworks, and integrate generative AI into service catalogs and AIOps pipelines.

The role requires deep expertise in Terraform, Python, LangChain, and cloud AI platforms to deploy RAG workflows, with strong experience across AWS, Google Cloud, or Azure.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or 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.
• Background in developing and deploying AI models such as RAG or transformers.
• Proficiency in building vector databases and document sources using OpenSearch or Amazon Kendra.
• Familiarity with cloud platforms including AWS, Google Cloud, or Azure.
• Ability to implement MLOps pipelines and monitor AI system performance.

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 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.

Skills

Terraform

Python

LangChain

Generative AI

MLOps

AIOps

CI/CD

RAG workflows

Cloud Platforms

Scripting

Education

Bachelor's or Master's in CS/Engineering

Tools

OpenSearch

Amazon Kendra

Bedrock

Langraph

LangChain

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