Platform Engineer (devops & Ai/ml/gen-ai)
- Epam Systems
- 5 - 8 years
- Chennai
- 3 months ago
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Job Description
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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: Epam SystemsLocation(s): Chennai
Keyskills: continuous integration kubernetes vertex ci/cd hibernate artificial intelligence docker microservices cloud spring scripting automation java devops ml cd python maven engineering aws cloudformation spring boot as framework infrastructure cloud infrastructure terraform bash aws
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