Senior Technical Support Engineering

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.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

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. 

• 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.

Nice to Have:

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

• 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.

• 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.
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