Job description

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. 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. At PTC, we believe in the power of diverse ideas and perspectives. As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work. Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. For more information about PTC’s comprehensive benefits and our AI usage, please visit our Careers Page (ptc.com). Applications will be accepted on an on-going basis until the opportunity is filled. PTC endeavors to make ptc.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact PTC's Talent Acquisition team at TalentAcquisition@ptc.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us? We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here .

Requirements

Must-haves

Sr TechOps Engineer, AIOps (Cloud)
Hybrid-San Ramon, CA
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

Nice-to-haves

Nice to Have Qualifications AWS certifications (Associate level preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awskubernetesci/cdaimldockerpythonaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness