Software Engineer | Platform Engineering

• Design, build, and operate the CI/CD pipelines every engineering team ships through.
• Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
• Build local development environment tooling that lets engineers reproduce production‑like conditions on their laptop.
• Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
• Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
• Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.

Tools we use daily:
Programming Language:
Go Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure Infrastructure as Code:
Terraform Databases & Storage:
Click House, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability:
Grafana, Victoria Metrics, Victoria Logs, Victoria Traces, Loki, Tempo CI/CD & Git Ops:
Git Lab CI, ArgoCD, Kargo

• 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 require it.
• Kubernetes operators, Helm chart authoring, admission webhooks.
• Internal developer platform (IDP) design - golden paths, self‑service tooling, service catalogs.
• Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
• Kubernetes or cloud‑native OSS contributions.

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…