Engineering Manager - Reporting

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 the role

We are looking for a hands-on Engineering Manager to join our Engineering and lead the Reporting team. This is a hybrid role - part leadership, part deep technical contribution, with approximately 50% of your time spent coding. You’ll help shape technical direction, support your team’s growth, and stay close to the code. Expect to spend at least half your time involved in technical work- be it design, review, prototyping, or implementation.

The Reporting team is responsible for building a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

Requirements:

• Proven experience leading technical teams in a fast-paced environment
• Strong software engineering skills with experience in distributed systems and backend development, ideally in Go
• Solid understanding of Kubernetes internals or cloud-native infrastructure
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
• Strong grasp of database systems and architecture; experience with time-series databases is a plus
• CI/CD and DevOps practices experience
• Clear communicator with strong written and verbal English skills
• Collaborative and action-oriented leadership style.

Responsibilities as an Engineering Manager:

• Lead, mentor, and grow high-performing engineering teams
• Actively contribute to the codebase - building and maintaining the high-scale data ingestion and time-series reporting infrastructure
• Drive team execution by aligning delivery with business and product goals
• Partner with Product Owners and Tech Leads to shape scope and roadmap
• Ensure robustness, scalability, and security in all deliverables
• Foster a culture of learning, ownership, and technical excellence
• Actively contribute to hiring, onboarding, and team-building efforts
• Be a role model and champion of Cast AI’s values and engineering culture
• Participate in the incident response process as needed.

What’s in it for you?

• Competitive salary (up to €10,000 gross, depending on the level of experience)
• 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
• Private health insurance
• 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.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• 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.

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