C

Cast AI

Autonomous Kubernetes autoscaling and optimization

Senior Software Engineer - Agent Platform Team

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Production experience with Go or TypeScript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.
  • Strong debugging, optimization, and performance-tuning skills, including query profiling, index design, and database performance tuning beyond ORM usage.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus.
  • Experience with observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD, and DevOps practices.
  • Adaptability, proactivity, and comfort with ambiguity in a startup environment.
  • Strong written and verbal English skills.
  • Personal experience driving a complex project end-to-end.
  • Experience in virtualization, networking, security, and Kubernetes internals is a strong plus for the Agent Platform team.

Responsibilities

  • Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments, with security at their core.
  • Make every agent action observable, auditable, and governable.
  • Develop a remote-first experience of working with agents.
  • Own features end-to-end, including design, implementation, testing, and production rollout, working directly with product and other engineering teams.

Desired Qualifications

  • Production experience with Go or TypeScript.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • For the Agent Platform team, experience in virtualization, networking, security, and Kubernetes internals.

About the Company

Cast AI

Autonomous Kubernetes autoscaling and optimization

Cast AI automates Kubernetes management and cloud-cost optimization. Its engine learns from real clusters to predict needs, continuously rightsizes CPU/memory, and adjusts resources automatically to meet performance targets. It handles spot interruptions, uses agentic runbooks with approvals, and includes a Database Optimizer; for AI workloads, Kimchi.dev routes requests across SaaS and self-hosted models with data sovereignty, plus OMNI Compute to provision GPU capacity across clouds. The goal is to remove manual firefighting by making infrastructure run smoothly and cost-efficiently.

Company size
201-500
Company stage
Series C
Total funding
$185.8M
Headquarters
Miami, FL
Founded
2019

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