Platform Engineer (DevOps & AI/ML/Gen-AI)

Office in Coimbatore

Platform Engineering

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