DevOps Engineer II- AI

• 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.