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 contemporary 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.
- Disaster Recovery: Design robust Disaster Recovery (DR) strategies on AWS/Azure, utilizing automated backup and failover mechanisms.
- CI/CD Modernization: Modernize and maintain enterprise CI/CD pipelines using GitHub Actions and Jenkins for continuous delivery.
- Scripting & Tooling: Develop high-quality automation scripts and tooling utilizing advanced Python expertise.
- Configuration Integrity: Govern and maintain version-controlled IaC repositories in Bitbucket and GitHub.

Your Goals Will Include:

- DevOps Standardization: Champion DevOps standardization by aligning all infrastructure and security practices with Trimble Cyber, xOps compliance frameworks, and AWS/Azure Well-Architected Standards.




- High-Velocity Release: Orchestrate high-velocity, automated deployment pipelines and agentic fleets to ensure seamless, reliable releases.
- Security Compliance: Closely align with Trimble Cybersecurity controls and SLAs to ensure Cloud Engineering customers' compliance.
- Operational Discipline: Meet and exceed established KPIs, SLAs, and OLAs through rigorous operational discipline.
- Self-Healing Infrastructure: Maximize system reliability and availability by implementing proactive monitoring, observability, and automated self-healing infrastructure.
- Developer Productivity: Drive developer productivity by leveraging engineering metrics (DORA/SPACE) to identify and mitigate process bottlenecks.
- Toil Reduction: Accelerate service delivery by automating routine operational tasks and security remediation, significantly reducing manual toil across the engineering organization.
- Continuous Improvement: Continuously improve operational workflows by defining, tracking, and optimizing processes for maximum service efficiency and quality.

What Skills & Experience You Should Bring

- Experience: 6–9 years of hands-on experience with enterprise DevOps & Observability platforms in a large-scale enterprise environment.
- Certifications: AWS/Azure certifications (e.g., Solutions Architect, DevOps Engineer).
- AI & Automation Skills: * Practical expertise utilizing AI-driven tools such as Microsoft Copilot or Cursor to manage and enhance AI workloads.




- Expertise in leveraging Agentic AI and the Model Context Protocol (MCP) to automate and optimize complex cloud infrastructure workflows.
- Ability to leverage AI for proactive monitoring, predictive analytics, and automated root-cause analysis within CI/CD pipelines.
- Understanding of AI/ML lifecycle management, governance, and operational best practices in enterprise cloud environments.
- Experience implementing AI-assisted tools to automate routine tasks and enhance developer productivity.
- Observability Platforms: Proficiency with tools such as Azure DevOps, Datadog, Nagios, New Relic, Grafana, Prometheus, Splunk, and ELK Stack.
- Containerization: Strong hands-on knowledge of Docker, Kubernetes, ECS, and EKS.
- Disaster Recovery: In-depth knowledge of cloud-native DR services (e.g., AWS/Azure Backup, Elastic Disaster Recovery, Lambda).
- Infrastructure as Code: Deep expertise in Terraform and AWS/Azure CloudFormation.
- Core Architecture: Solid understanding of cloud networking, security, and storage architectures.
- Soft Skills & Alignment: * Exceptional problem-solving capabilities with meticulous attention to detail.
- Proven ability to collaborate effectively in cross-functional teams and operate autonomously.
- Strategic Business Alignment: Ability to drive organizational growth by proactively aligning engineering outcomes with customer needs and market goals.
- Influential Partnership: Ability to build deep credibility and stakeholder confidence to accurately diagnose needs and influence strategic decisions.
- Operational Agility: A continuous improvement mindset that removes technical/process waste and turns disagreements into productive innovation.

Key Result Areas

- Full accountability for assignments, ensuring timely delivery while meeting or exceeding Trimble's quality requirements.

📌 Devops Ai Engineer (Chennai)
🏢 Trimble
📍 Chennai