Senior Cloud Automation Engineer (DevOps, AI/ML/Gen-AI)

Cloud Operations, DevOps, AIOps, MLOps, Generative AI Fundamentals

Hyderabad, Bangalore, Pune, Gurgaon, Chennai

We are looking for a skilled Senior Cloud Automation Engineer to enhance our Automation Engineering team.

This role demands a deep understanding and demonstrated expertise in cloud infrastructure automation, DevOps, scripting, and generative AI, including AIOps capabilities like anomaly detection and predictive maintenance. The ideal candidate will be proficient in designing, developing, and maintaining generative AI models and Infrastructure-as-Code tools in diverse cloud environments.

Responsibilities

Design, develop, and maintain automated workflows for cloud infrastructure using tools like Terraform
Build and enhance automation frameworks for infrastructure deployment and management across multiple cloud platforms
Develop and manage service catalog components integrated with automation platforms like Backstage
Implement Continuous Integration and Continuous Deployment pipelines to automate code builds and deployments
Maintain scripts for automation tasks using Python, Bash
Serve as a deployment orchestrator for automated deployments across cloud environments
Design and implement generative AI models for varying AIOps applications
Utilize frameworks like RAG with Langchain on cloud platforms for developing AI models
Build and manage data frameworks necessary for AI modeling using tools like Opensearch or Amazon Kendra
Conduct data preparation, labeling and vector encoding to support AI model efficacy
Create agentic workflows tailored for application-specific requirements and integrate AI models with existing AIOps platforms
Collaborate with cross-functional teams to optimize cloud automation processes and continuously integrate new automation tools and best practices

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering or a related field
5 to 8 years’ experience proficiently utilizing IaC tools such as Terraform, CloudFormation
Demonstrated experience in developing and deploying generative AI models like RAG (Retrieval-Augmented Generation)
Strong proficiency in Python and GenAI frameworks
Extensive background in generative AI, machine learning and AIOps
Familiarity with data streaming solutions for real-time data processing and insight generation
Experience creating and managing cloud data lakes and vector databases for AI training
Proficiency in developing CI/CD pipelines and scripting for diverse cloud automation use cases

Nice to have

Experience with AIOps platforms integration
Advanced knowledge in vector database management
Expertise in complex generative AI workflows and model performance evaluation