Technical Support Engineer

Responsibilities

• Serve as the primary subject matter expert, delivering deep technical guidance and authoritative support to customers.
• Troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving.
• Own customer issues from intake through resolution to minimize downtime and improve system reliability.
• Document and share knowledge by contributing to internal knowledge bases and creating technical guides.
• Provide mentorship to junior team members to foster a strong, knowledgeable team environment.
• Participate in an on-call rotation to provide critical assistance and maintain high customer satisfaction.

Requirements

• 3+ years of hands-on experience in Kubernetes administration and troubleshooting (cluster management, networking, and storage).
• Strong Linux/Unix fundamentals and experience in distributed, containerized environments.
• Experience with at least one major public cloud provider (AWS, Azure, or GCP).
• Experience supporting customers in a SaaS or cloud-native environment.
• Exceptional problem-solving abilities and a passion for diagnosing complex technical issues.
• Strong written and verbal communication skills for interacting with technical and non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Fluency in English.

Preferred Qualifications

• CKA or CKAD Certification.
• Terraform Certification.
• Cloud Architect Certification.

Benefits

• Competitive salary and equity options.
• Flexible, hybrid work environment.
• Learning budget for professional development and international conferences.
• 10% dedicated time for personal projects or self-improvement.
• Equipment budget and team-building budget.
• Premium health insurance and extra days off for work-life balance.

About the Company

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. Over 2,100 companies, including Akamai, BMW, and Cisco, rely on Cast AI to replace manual tuning with continuous automation.