Senior Software Engineer | Platform Engineering

Cast AI is an automation platform that operates cloud-native and AI infrastructure  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, Hugging Face, 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.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries:
Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

A team ships a new service, and getting it from a laptop to production – built, tested, deployed, and visible when something goes wrong – shouldn’t require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that’s there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.

The Platform team builds and maintains that road, and the work is internal – the users are Cast AI’s own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.

What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.

• Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices – not just make something work.
• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Experience in platform engineering – you’ve built and operated (not just consumed) most, but not necessarily all of: CI/CD and Git Ops systems (Git Lab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (Victoria Metrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
• Experience with AI coding agents and agentic development workflows.
• You’ve personally driven a complex project end‑to‑end.
• Strong debugging, optimization, and performance‑tuning skills.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.
• Participate in on‑call rotation for teams that…