We'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.

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

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

Connect generative AI models with operational systems and AIOps platforms to strengthen automation

Assess AI model performance and drive ongoing optimization efforts

Partner with cross-functional teams to foster innovation and enhance cloud automation workflows

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

Robust 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

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 Cloud Platform Engineer (DevOps) (Bengaluru)
🏢 Epam
📍 Bengaluru