Cloud Operations Engineer - AI Cloud Ops

Quick Facts

• Role: Cloud Ops Engineer, AIOps (Cloud)
• Work style: Hybrid (San Ramon, CA)

Description

Support the operation and maintenance of AWS-based cloud infrastructure. Deploy, manage, and operate applications on Kubernetes clusters (EKS or similar), including troubleshooting, production monitoring/alerting, and incident response. Contribute to infrastructure automation, improve CI/CD workflows for container-based releases, maintain reliability/performance, and leverage AI/ML tools and copilots to improve cloud operations efficiency and effectiveness.

Responsibilities

• Operate and maintain cloud infrastructure across AWS environments
• Deploy, manage, and operate applications on Kubernetes clusters (EKS or similar)
• Troubleshoot Kubernetes issues (pod failures, scaling issues, networking, cluster health)
• Assist in managing production systems (monitoring, alerting, 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
• 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

• 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
• Identify opportunities to apply AI to reduce operational toil and improve MTTR
• Integrate AI-driven insights into monitoring, logging, and operational workflows

Requirements

• 1–5 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 (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
• Hands-on experience using AI-powered tools (e.g., GitHub Copilot, AWS Kiro, Claude Code, Codex)
• 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

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
• Compensation (CIP): anticipated annual salary range of $100,000–$150,000; performance-based bonus and equity programs may apply