We are seeking a Senior Platform Engineer to design automated cloud infrastructure, embed GenAI into AIOps platforms, and drive cloud automation innovation. You will apply DevOps, MLOps, and observability practices to improve operational efficiency and service delivery—apply now.

Responsibilities

- Develop automated provisioning workflows for cloud infrastructure using IaC tools such as Terraform

- Design frameworks that enable deployment, configuration, and management across multiple cloud environments

- Manage service catalog components and ensure reliable integration with platforms like Backstage

- Apply GenAI models to strengthen service catalog capabilities and improve code quality in automation pipelines

- Architect and implement CI/CD pipelines, and maintain CI pipeline code supporting cloud automation

- Write orchestration scripts for cloud deployments using Python, Bash, or similar scripting languages

- Build and deploy generative AI models for AIOps use cases such as anomaly detection and predictive maintenance

- Implement RAG workflows using frameworks such as LangChain or cloud platforms including Bedrock, Vertex AI, and Azure AI

- Construct and 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 preserving scalability and data integrity

- Develop agentic workflows with frameworks like LangGraph or GenAI platforms such as Bedrock Agents





- Integrate generative AI models with operational systems and AIOps platforms to enhance automation

- Evaluate AI model performance and drive continuous optimization

- Build and maintain MLOps pipelines to monitor and address model decay

- Collaborate with cross-functional teams to accelerate innovation and improve cloud automation workflows

- Research and recommend new tools and best practices to increase operational efficiency

Requirements

- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline

- At least 5 years of experience in cloud infrastructure automation, scripting, and DevOps

- Hands-on experience with IaC tools such as Terraform, CloudFormation, or comparable technologies

- Robust proficiency in Python, cloud AI frameworks like LangChain, and generative AI workflow design

- Proven ability to build and deploy AI models including RAG or transformer-based architectures

- Practical experience creating vector databases and document sources with tools like OpenSearch or Amazon Kendra

- Solid background in preparing and labeling datasets for AI models while optimizing data inputs

- Working knowledge of cloud platforms such as AWS, Google Cloud, or Azure

- Demonstrated experience implementing MLOps pipelines and tracking 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

📌 Senior Platform Engineer (Cloud Automation & AIOps GenAI) (Pune)
🏢 EPAM Systems
📍 Pune