Parametric Technology (PTC)

Senior Cloud Operations Engineer - AI Cloud Ops

Parametric Technology (PTC)$130K — $170K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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
  • Experience in Linux/Unix environments
  • Familiarity with container technologies like Docker and Kubernetes
  • Exposure to infrastructure-as-code tools such as Terraform and Ansible
  • Understanding of CI/CD concepts and tools
  • Familiarity with monitoring and logging tools such as CloudWatch and Prometheus
  • Strong problem-solving skills and a 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 relevant to the role

Responsibilities

  • Support operation and maintenance of cloud infrastructure across AWS environments
  • Deploy, manage, and operate applications on Kubernetes clusters
  • Troubleshoot Kubernetes issues including pod failures and scaling
  • Assist in monitoring, alerting, and incident response for production systems
  • Contribute to infrastructure automation using Terraform and Ansible
  • Maintain system reliability, availability, and performance through daily operations
  • Participate in on-call rotation and incident response processes
  • Assist with capacity planning and cost optimization
  • Partner with security teams for compliance and security best practices
  • Leverage AI/ML tools to improve cloud operations' efficiency

Benefits

  • Competitive health and wellness benefits including Medical, Dental, Vision, and Life Insurance
  • Flexible Spending Accounts
  • Flexible Time Off
  • 401(k) plan with employer match
  • Commuter Benefits
  • Opportunities for learning, mentorship, and career growth
Full Job Description
Sr TechOps Engineer, AIOps (Cloud)
Hybrid-San Ramon, CA

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 systems.

What You Will Do
  • 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 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

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 San Ramon office 2-3 times a week
  • Basic to 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 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
Nice to Have Qualifications
  • AWS certifications (Associate level preferred)
  • Exposure to scripting/programming (Python or Shell)
  • 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


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. Certain roles may also be eligible for participation in our equity programs. Employees may be eligible for medical, dental and vision insurance, paid time off and sick leave, tuition reimbursement, 401(k) contributions and employer match, flexible spending accounts, life insurance, disability coverage and, if you are an office-assigned employee, a generous commuter subsidy. All total rewards and benefits programs are subject to applicable plan eligibility and other terms and conditions.
For more information about PTC's comprehensive benefits, please visit our Careers Page.
Applications will be accepted on an on-going basis.

About Parametric Technology (PTC)

PTC is a global software company that delivers a technology platform and solutions to help companies design, manufacture, operate, and service things for a smart, connected world. The company's solutions transform the way products are created and serviced across the entire product lifecycle - from conception and design to sourcing and service. Founded in 1985, PTC employs approximately 6,500 professionals serving more than 28,000 businesses in rapidly-evolving, globally distributed manufacturing industries.
Learn more about Parametric Technology (PTC)
Size
6,709 employees
Market Cap
$14.2 billion
Industry
Net Income
$118.7 million
Founded
1985
5 Year Trend
+10.7%
Revenue
$1.5 billion
NASDAQ

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