Senior Platform Engineer

epam

Pune 5 Years Exp Posted 2h ago

Job Description

  • 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