DevOps Engineer III

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.

• 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