Senior Platform Engineer

TymblHub; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems in Pune, India, is seeking a Senior Platform Engineer to architect and build automated cloud infrastructure solutions and embed generative AI within AIOps platforms.

You will lead innovation in cloud automation, applying DevOps, MLOps, and observability to improve service delivery and efficiency. This role is onsite in Pune and requires 5+ years of relevant experience.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• Minimum 5 years in cloud infrastructure automation, DevOps, and scripting.
• Strong knowledge of IaC tools Terraform or CloudFormation.

Responsibilities

• Develop automated workflows for provisioning cloud infrastructure.
• Architect and embed GenAI capabilities within AIOps platforms.
• Design and maintain CI/CD pipelines for cloud automation.
• Build and deploy AI models for anomaly detection and predictive maintenance.
• Collaborate with cross-functional teams to drive cloud automation innovation.

Skills

DevOps

MLOps

Observability

Scripting

CI/CD

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

CloudFormation

Python

LangChain

Bedrock

Vertex AI

Azure AI

OpenSearch

Amazon Kendra

LangGraph

Job description

# Senior Platform EngineerEPAM SystemsPosted on October 9, 2026---Experience5 - 7 yrsJob LocationPune, IndiaVacancy1DesignationSenior Platform EngineerJob TypeONSITE---## Job Description## Job SummaryWe're looking for a **Senior Platform Engineer** who can architect and build automated cloud infrastructure solutions, embed generative AI capabilities within AIOps platforms, and lead innovation efforts in cloud automation.## About the RoleWe're looking for a **Senior Platform Engineer** who can architect and build automated cloud infrastructure solutions, embed generative AI capabilities within AIOps platforms, and lead innovation efforts in cloud automation. This role calls for strong expertise in **DevOps**, **MLOps**, and **observability** tools to boost operational efficiency and improve service delivery.## Key Responsibilities* Develop automated workflows for provisioning cloud infrastructure using **IaC** tools such as **Terraform*** Create frameworks that support deployment, configuration, and management across various cloud environments* Manage and develop service catalog components while ensuring smooth integration with platforms like **Backstage*** Apply **GenAI** models to improve service catalog capabilities and elevate code quality within automation pipelines* Architect and implement **CI/CD** pipelines, while maintaining **CI** pipeline code for cloud automation purposes* Write automation scripts for cloud deployment orchestration using **Python**, **Bash**, or similar scripting languages* Build and deploy generative **AI** models to support **AIOps** use cases like anomaly detection and predictive maintenance* Leverage frameworks such as **LangChain** or cloud platforms including **Bedrock**, **Vertex AI**, and **Azure AI** to deploy **RAG** workflows* Construct and fine-tune vector databases and document sources using tools such as **OpenSearch**, **Amazon Kendra**, or similar solutions* Prepare and label datasets for generative **AI** models while maintaining scalability and data integrity* Develop agentic workflows using frameworks like **LangGraph** or **GenAI** platforms such as **Bedrock Agents*** Connect generative **AI** models with operational systems and **AIOps** platforms to strengthen automation* Assess **AI** model performance and drive ongoing optimization efforts* Build and maintain **MLOps** pipelines to track and address model decay* Partner with cross-functional teams to foster innovation and enhance cloud automation workflows* Investigate and propose new tools and best practices to strengthen operational efficiency## Requirements* Bachelor's or Master's degree in **Computer Science**, **Engineering**, or a related discipline* Minimum of 5 years working in **cloud infrastructure automation**, **scripting**, and **DevOps*** Skilled in **IaC** tools including **Terraform**, **CloudFormation**, or comparable technologies* Strong command of **Python**, cloud **AI** frameworks like **LangChain**, and generative **AI** workflow design* Experience building and deploying **AI** models such as **RAG** or transformer-based architectures* Skilled in constructing vector databases and document sources through tools like **OpenSearch** or **Amazon Kendra*** Capable of preparing and labeling datasets for **AI** models while optimizing data inputs* Familiar with cloud platforms such as **AWS**, **Google Cloud**, or **Azure*** Able to implement **MLOps** pipelines and track **AI** system performance## Nice to have* Familiarity with agentic architectures like **React** and techniques for flow engineering* Experience using **Bedrock Agents** or **LangGraph** to build workflows* Understanding of how to integrate generative **AI** into legacy or complex operational environments