Platform Engineer

1 day ago

Chennai, Tamil Nadu, India Epam Systems Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices.

The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives.

Responsibilities

  • Design, build, and maintain cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation
  • Develop scalable frameworks for managing infrastructure provisioning, deployment, and configuration across multiple cloud platforms
  • Create and integrate service catalog components with automation platforms like Backstage
  • Leverage generative AI models to enhance service catalog capabilities, including automated code generation and validation
  • Architect and implement CI/CD pipelines for automated build, test, and deployment processes
  • Build and maintain deployment automation scripts using technologies such as Python or Bash
  • Design and implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis
  • Utilize AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for building advanced generative AI solutions
  • Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions
  • Engineer data pipelines for streaming real-time operational insights to support AI-driven automation
  • Create MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay
  • Evaluate and select appropriate LLM models for specific AIOps use cases, integrating them efficiently into workflows
  • Collaborate with cross-functional teams to design and improve automation and AI-driven processes
  • Continuously research emerging tools and technologies to improve operational efficiency and scalability

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting
  • Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation
  • Expertise in Python and generative AI frameworks like RAG and agent-based workflows
  • Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI
  • Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions
  • Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming
  • Proven experience in creating and maintaining MLOps pipelines for AI/ML models in production environments

Nice to have

  • Familiarity with Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools
  • Understanding of end-to-end AIOps processes to enhance cloud-based automation solutions

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