Senior Cloud Operations Engineer - AI Cloud Ops

PTC; San Ramon (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Competitive health benefits

401(k) with employer match

Flexible Time Off

Job summary

PTC is looking for a Sr TechOps Engineer for their San Ramon office. The role involves managing cloud infrastructure, with a focus on AWS and Kubernetes, troubleshooting issues, and driving AI efficiencies. Candidates should have 3-5 years in cloud operations and be able to commute to the office 2-3 times a week.

PTC offers a competitive salary between $130,000 and $170,000, along with comprehensive benefits including health insurance and opportunities for career growth.

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 working in Linux/Unix environments.
• Familiarity with CI/CD concepts and tools.

Responsibilities

• Support the operation and maintenance of cloud infrastructure across AWS environments.
• Deploy, manage, and operate applications on Kubernetes clusters.
• Troubleshoot and resolve infrastructure and application issues.
• Assist with capacity planning and cost optimization efforts.

Skills

Cloud operations experience

AWS cloud services understanding

Container technologies (Docker/Kubernetes)

Infrastructure-as-code tools (Terraform, Ansible)

Strong problem-solving skills

Good communication skills

Education

3-5 years in cloud operations, DevOps, or infrastructure engineering

Tools

CloudWatch

Prometheus

Grafana

Job description

Sr TechOps Engineer, AIOps (Cloud)

Hybrid‑San Ramon, CA

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 and $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.

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 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.

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