Senior Cloud Operations Engineer - AI Cloud Ops

About the role

ServiceMax is the global leader in Service Execution Management, delivering cloud-based software that helps companies maintain and service complex equipment at scale. Our platform powers mission-critical operations for customers around the world. We foster a collaborative, #wintogether and #customerobsessed culture, where engineers learn, grow, and contribute to building reliable, secure, and intelligent cloud systems.

Responsibilities

• 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
• Aid in managing production systems including monitoring, alerting, and incident response
• 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
• Maintain system reliability, availability, and performance through day-to-day operations
• Participate in on-call rotation and incident response processes
• 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
• 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

Requirements

• 3–5 years of experience in cloud operations, DevOps, or infrastructure engineering
• Ability to commute to the San Ramon office 2-3 times a week
• Basic to strong understanding of AWS cloud services
• 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., CloudWatch, ELK, Prometheus, Grafana)
• Strong problem-solving skills and willingness to learn
• Good communication skills and attention to detail

Qualifications

• Hands-on experience using AI-powered tools such as GitHub 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

Skills

• Hands-on experience using AI-powered tools such as GitHub 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

Benefits

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
Compensation (CIP): PTC carefully considers a wide variety of factors when determining compensation. The anticipated annual salary range for this position is between $130,000 - 170,000. The salary range reflects a good-faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location. Additionally, candidates may be eligible for a performance-based bonus. Employees also have the opportunity to become a PTC shareholder through our employee share purchase program (ESPP), which allows for the purchase of discounted PTC stock.

Pay

Compensation (CIP): PTC carefully considers a wide variety of factors when determining compensation. The anticipated annual salary range for this position is between $130,000 - 170,000. The salary range reflects a good-faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location. Additionally, candidates may be eligible for a performance-based bonus. Employees also have the opportunity to become a PTC shareholder through our employee share purchase program (ESPP), which allows for the purchase of discounted PTC stock.

Schedule

Hybrid-San Ramon, CA