Senior Software Engineer – Platform Team

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

The Platform Team builds and maintains the critical internal foundation that powers CAST AI’s product. We provide engineering teams with a reliable, scalable, and observable-by-default platform, enabling them to focus on building features rather than managing infrastructure. As the company scales, we ensure the platform evolves to support a growing organization and increasingly complex business requirements.

Requirements:

• Software engineering skills, ideally with Go, but not a hard requirement as long as you’re willing to transition to it.
• Experience in platform engineering, with familiarity in technologies such as CI/CD systems (e.g., GitLab CI/CD, GitHub Actions, Argo CD), infrastructure as code tools (e.g., Terraform), and container orchestration tooling (e.g., Kubernetes, Helm, Docker).
• Experience with IaaS building blocks in any of AWS, Azure, or GCP.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment.
• Strong written and verbal communication skills in English
• You have to be physically in any of the European countries GMT 0 to GMT +3.
• Ability to work independently and collaboratively within a team
• A proactive, problem-solving mindset with a “yes, we can” attitude.

Responsibilities:

In the Platform team, you will work on building and maintaining the internal platform that serves as the foundation for CAST AI’s product. The team is currently focusing on:

• Infrastructure-as-Code. Defining clear boundaries between core and team-specific infrastructure, enabling repeatable creation of environments for testing, disaster recovery, and production.
• Continuous deployment. Reworking CD pipelines to be more reliable, flexible, and scalable for the company’s next phase of growth.
• Observability stack. Improving the reliability and scalability of our internal observability platform (Prometheus, Loki, Tempo) to support the company’s expanding needs.

What’s in it for you?

• Competitive salary (€6,500 – €9,000 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.
• 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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