Why Cast AI?

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.

About this role:

Requirements:

• Six to twelve years of relevant experience in SRE, DevOps, Cloud Infrastructure, Platform Engineering, Solutions Engineering or a similar role.
• Strong hands-on Kubernetes experience. You need to understand how clusters, workloads, networking, scaling and resource management operate in production.
• Meaningful prior experience as an SRE or DevOps Engineer. This is essential. Candidates without a real operational background are unlikely to succeed in the technical interview or the role.
• Experience troubleshooting production incidents, including diagnosing root cause, resolving the issue and implementing improvements afterwards.
• Strong understanding of cloud infrastructure and modern cloud-native tooling.
• Able to communicate technical concepts in a logical, clear and customer-friendly way.
• Comfortable speaking with engineering leaders, platform teams, SREs, DevOps teams and senior technical stakeholders.
• Interested in a customer-facing role, whether you already work with customers or want to move from a deeply technical role into one.
• Comfortable operating in a fast-growing, less structured environment where ownership and initiative matter.
• Willing to travel to customer locations for a few days per month.

Responsibilities:

• Act as the senior technical escalation point for strategic and complex customer conversations.
• Partner with Technical Account Managers on customer onboarding, adoption, technical risk and platform value.
• Work with Client Partners to identify and support expansion opportunities within existing customers.
• Lead technical discovery sessions with customers to understand their Kubernetes architecture, workloads, operational challenges and priorities.
• Advise customers on Kubernetes reliability, efficiency, scaling and platform best practices.
• Help customers diagnose and resolve complex production issues involving Kubernetes clusters, workloads, resource management, networking or platform reliability.
• Represent Cast AI in customer meetings, technical workshops and occasional on-site visits across APAC.
• Support the commercial adoption of Omni by connecting product capabilities to genuine customer needs.
• Share recurring customer feedback, technical blockers and product opportunities with Product and Engineering teams.
• Work closely with a team of SREs and cloud infrastructure specialists within Customer Success.

What’s in it for you?

• 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.
• 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.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• 1-2 additional interviews based on the role
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.