Senior Cloud Operations Engineer - AI Cloud Ops

Sr TechOps Engineer, AIOps (Cloud) — Hybrid, San Ramon, CA 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 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 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 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: 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 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 Salary range: $130,000 – $170,000 (annual) Potential performance‑based bonus Employee share purchase program (ESPP) and possible equity programs EEO Statement 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 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. #J-18808-Ljbffr