C

Cast AI

Autonomous Kubernetes autoscaling and optimization

Senior Software Engineer - Harness Team

AI Application Engineering +1Confirmed 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 such as AWS, GCP, or Azure and Kubernetes is a strong plus.
  • Experience with observability tooling such as Prometheus, Grafana, and OpenTelemetry, as well as CI/CD and DevOps practices.
  • Strong English skills, both verbal and written.
  • Personally driven a complex project end-to-end.

Responsibilities

  • Architect planner, executor, and evaluator pipelines, using a reasoning model for planning, a fast model for execution, and a third model for evaluation, without self-verification.
  • Manage agent memory and context, including state persistence across sessions, context compaction, and tool-call offloading.
  • Own the harness surface, including TUI, MCP integrations, and telemetry.
  • Work directly with users, including colleagues, to identify, understand, and fix pain points.
  • Own features end-to-end, including design, implementation, testing, and production rollout.

Desired Qualifications

  • Experience working with harnesses and creating AI workflows is a strong plus.
  • Adaptability, proactivity, and comfort with ambiguity in a startup environment.

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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