[Hiring] Senior Technical Support Engineer @Cast AI

Role Description

Our customer-obsessed Customer Success team serves as the critical bridge between our customers and Cast AI, representing both the voice of the customer to Cast AI and the voice of Cast AI to the customer. The CS Team lives by the core values of being Smart, Humble, and Hungry. We value technical excellence, a collaborative mindset, and a strong drive to succeed. Cast AI is looking for a Senior Technical Support Engineer with a robust Kubernetes troubleshooting and administration background. If you thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies, you could be the perfect fit for our team.

Qualifications

• 5+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage.
• Strong Linux/Unix fundamentals and experience working in distributed, containerized environments.
• Experience with at least one major public cloud provider (AWS, Azure, GCP).
• Experience supporting customers in a SaaS or cloud-native environment.
• Exceptional problem-solving abilities and a passion for diagnosing and resolving complex technical issues.
• Strong written and verbal communication skills to interact with technical and non-technical stakeholders.
• A collaborative mindset, with the ability to drive cross-functional projects and align teams.
• Excellent English to support global customers; other languages are an advantage.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Requirements

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

Responsibilities

• Serve as the primary Cast AI subject matter expert, delivering deep technical guidance and authoritative support to customers.
• Collaborate closely with customers to troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving throughout the process.
• Own customer issues from intake through resolution, driving timely outcomes that minimize downtime and improve system performance and reliability using Cast AI.
• Document and share knowledge by contributing to internal knowledge bases, creating technical guides, and outlining best practices to support both customers and internal teams.
• Provide mentorship and support to junior team members, fostering skill development and contributing to a strong, knowledgeable team environment.
• Participate in an on-call rotation, delivering critical after-hours assistance to maintain high levels of customer satisfaction and trust.

Benefits

• Competitive salary.
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.