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construction technology · geospatial solutions

DevOps Engineer II- AI (Chennai)

ChennaiPosted 1 month ago
Software engineeringMid-levelFull Time; Regular
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Job Title: DevOps Engineer III Location: Chennai, India Department: Trimble Cloud xOps Flexible Working: 4 Days per week @ Trimble Office location About the Role As a member of Trimbles global AI & Cloud Engineering team, you will focus on accelerating AI enablement and adoption across the cloud engineering team and Trimble divisional customers. In this role, you will contribute to the development and support of Trimbles strategic projects, incorporating AI to ensure a high-quality, intuitive product experience for our global customer base. We are seeking a collaborative, motivated qualified with solid, mid- to senior-level experience in developing responsive, customer-facing applications, leveraging modern technologies and frameworks to deliver scalable and reliable solutions. What You Will Do Technical, Operational & Functional Expertise - AI-Assisted IaC: Design and implement Generative AI-assisted tooling to automate the generation and validation of Infrastructure as Code (IaC) templates, reducing configuration errors and accelerating development cycles. - Pipeline Optimization: Create and optimize end-to-end automated product deployment pipelines to ensure rapid, reliable delivery. - AI-Driven DevOps: Integrate AI-driven strategies into DevOps workflows, leveraging RAG (Retrieval-Augmented Generation) and Agentic AI to automate incident resolution and knowledge retrieval. - Cloud Infrastructure: Engineer and manage scalable AWS/Azure infrastructure using Infrastructure as Code (IaC) to drive operational efficiency. - Proactive Defect Detection: Implement AI/ML-based proactive detection systems to predict pipeline failures and minimize system downtime. - Advanced Automation: Streamline complex automation workflows using Agentic AI and modern protocols like MCP (Model Context Protocol) to enhance inter-system communication. - Observability: Advance monitoring and observability frameworks to transition operations from reactive to proactive management. - Disa .

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