Technical Support Engineering Manager

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.

Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world's most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.

What's next? Backed by our $108M Series C, we're doubling down on making APA the new standard for DevOps and MLOps, and everything in between.

This role is designed for leaders who thrive in both strategy and action—a true player–coach position. At Cast AI, our managers lead from the front: rolling up their sleeves to solve real customer challenges, while also mentoring, guiding, and inspiring their teams to reach new levels of excellence. Role covers leading the APAC and EMEA support team. 

• Based in Bengalaru, India
• CKA or CKAD Certification (preferred).
• 5+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage.
• Strong Linux/Unix fundamentals.
• Experience with at least one major public cloud provider (AWS, Azure, GCP).
• Proven 2-3 years of leadership experience in managing or mentoring technical support teams, with a focus on skill development, mentoring, and team building.
• 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 track record of successfully leading initiatives that improve team efficiency or customer outcomes.
• A collaborative mindset, with the ability to drive cross-functional projects and align teams.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Terraform Certification (preferred).
• Cloud Architect Certification (preferred).

• Team Leadership: Lead and mentor the APAC/EMEA technical support team, providing guidance, training, and performance feedback to develop a strong, skilled team.
• Customer Success Oversight: Act as the go-to technical expert, ensuring the team delivers exceptional support to customers. Represent CAST AI as a trusted advisor to resolve complex issues and align with customer goals.
• Technical Collaboration and Troubleshooting: Collaborate directly with customers to diagnose, set the standard for troubleshooting and problem-solving, and resolve complex technical issues. Lead escalations and ensure timely resolution of critical incidents.
• Drive Improvement: Identify inefficiencies in workflows and implement processes to enhance team productivity and effectiveness.
• Knowledge Sharing: Oversee the creation and maintenance of the internal knowledge base by documenting best practices, troubleshooting techniques, and technical guides to empower the team and customers.
• Hiring and Onboarding: Actively participate in recruiting efforts, evaluating candidates for technical and cultural fit, and ensuring smooth onboarding for new hires.
• Cross-functional collaboration: Work closely with engineering, product, and other teams to escalate issues, provide customer feedback, and align on delivering solutions.
• On-Call Support Leadership: Oversee on-call rotations, ensuring team readiness to provide after-hours support and maintaining high standards of customer satisfaction.

• 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.
• Extra days off to help maintain a healthy work-life balance.
  
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