Senior Cloud Operations Engineer

PTC; San Ramon (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k) with employer match

Commuter benefits

Learning & career growth

Job summary

ServiceMax is seeking a Senior Cloud Operations Engineer, AI Ops (Cloud) to help run and optimize cloud infrastructure across AWS in a hybrid setting out of San Ramon, CA. You will manage Kubernetes clusters, automate infrastructure with Terraform/Ansible, and collaborate with security and development teams to improve CI/CD and observability.

The role emphasizes AI-assisted incident triage, root-cause analysis, and reducing toil, with on-call rotation and capacity planning.

Qualifications

• 3–5 years of experience in cloud operations, DevOps, 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 (CloudWatch, ELK, Prometheus, Grafana).

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.
• 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 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 to improve cloud operations efficiency.

Skills

Cloud operations

DevOps

Infrastructure engineering

AWS

Linux/Unix

Containers

Tools

Docker

Kubernetes

Terraform

Ansible

CloudWatch

ELK

Prometheus

Grafana

Job description

Senior Cloud Operations Engineer, AI Ops (Cloud)

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

What We Do

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 system.

What You Will

• 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

AI-Driven Operations

• 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

What You Bring to ServiceMax

• 3–5 years of experience in cloud operations, DevOps, 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., CloudWatch, 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

Required AI

• 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

Nice to Have Qualifi

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

What ServiceMax Offers You

• 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