Senior Cloud Operations Engineer

Senior Cloud Operations Engineer, AI Ops (Cloud)

Hybrid-San Ramon, CA (2 days in office)

Service Max is the global leader in Service Execution Management, delivering cloud-based software that helps companies maintain and service complex equipment  platform powers mission-critical operations for customers around the world.

We foster a collaborative, #win together and #customer obsessed culture, where engineers learn, grow, and contribute to building reliable, secure, and intelligent cloud system.

• Support the operation and maintenance of cloud infrastructure across AWS environments
• Deploy, manage, and operate applications on Kubernetes clusters (EKS or similar)
• Perform Kubernetes troubleshooting including pod failures, scaling issues, networking, and cluster health
• Assist in managing production systems including monitoring, alerting, and incident response
• Troubleshoot and resolve infrastructure and application issues in a timely manner
• Work with engineering teams to support deployments and improve CI/CD workflows, including container-based releases
• Contribute to infrastructure automation using tools like Terraform and Ansible
• Help maintain system reliability, availability, and performance through day-to-day operations
• Participate in on-call rotation and incident response process
• Assist with capacity planning and cost optimization efforts
• Partner with security teams to support compliance and security best practices
• Contribute to improving observability via logs, metrics, and dashboards

• Actively leverage AI/ML tools and copilots to improve cloud operations efficiency and effectiveness
• Use AI-assisted solutions for incident triage, root cause analysis, alert noise reduction, and automation of repetitive tasks
• Continuously identify opportunities to apply AI to reduce operational toil and improve MTTR
• Collaborate with teams to integrate AI-driven insights into monitoring, logging, and operational workflows

• 3–5 years of experience in cloud operations, Dev Ops, or infrastructure engineering
• Ability to commute to the office in San Ramon, CA 2 days a week
• Strong understanding of AWS cloud services
• Experience working in Linux/Unix environments
• Familiarity with container technologies (Docker and/or Kubernetes)
• Exposure to infrastructure-as-code tools (Terraform, Ansible, or similar)
• Understanding of CI/CD concepts and tools
• Familiarity with monitoring and logging tools (e.g., Cloud Watch, ELK, Prometheus, Grafana)
• Strong problem-solving skills and willingness to learn
• Ability to work collaboratively in a team environment
• Good communication skills and attention to detail

• Hands-on experience using AI-powered tools such as Git Hub Copilot, AWS Kiro, Claude Code, CodeX, etc.
• Understanding of AI applications in cloud operations (anomaly detection, automation, incident analysis)
• Ability to use AI tools for troubleshooting, log analysis, and workflow improvement
• Demonstrated curiosity and willingness to adopt AI-driven approaches

• Python or Shell scripting experience
• Experience in SaaS or cloud-based production environments
• Exposure to AIOps or observability platforms with built-in AI capabilities

• Competitive health and wellness benefits (Medical, Dental, Vision, Life Insurance)
• Flexible Spending Accounts
• Flexible Time Off
• 401(k) with employer match
• Commuter Benefits
• Opportunities for learning, mentorship, and career growth