Senior AI Platform Engineer — Kubernetes & Cloud

Cast AI; United States; Remote; USD 80,000 - 111,000; Full time

Benefits offered by this job

Equity options

Remote-first global environment

Learning budget for development

Hackathon and team events

Equipment budget

Extra days off

Job summary

CAST AI seeks a platform engineer to develop the AI-assisted Kubernetes platform. You design agent flows, enable the MCP server, and link cloud APIs with Kubernetes control plane in real time. You will ship features end-to-end in tight cycles and tackle cross-cloud permission and data freshness challenges.

Join a remote-first team building scalable, secure AI-powered cloud infrastructure. You’ll work across AWS, GCP, and Azure with strong emphasis on Go, observability, and DevOps disciplines.

Qualifications

• Strong software engineering fundamentals; generalist capable across distributed systems and auth flows.
• Production Go experience preferred; strong systems programming skills if not Go.
• Experience building or operating large-scale SaaS platforms in production.
• Solid understanding of Kubernetes; comfortable with autoscaling, scheduling, networking.
• You've personally driven a complex project end-to-end.
• Hands-on experience with AI coding agents and agentic development workflows.
• You've used observability tooling in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities

• Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
• Build and evolve our public, permission-aware MCP server: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
• Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
• Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
• Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
• Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
• Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
• Participate in the team's on-call rotation.

Skills

Go programming

Distributed systems

SaaS platforms

Kubernetes

Auth flows

Agent workflows

Observability

CI/CD

English

Startup mindset

Tools

AWS

GCP

Azure

OAuth 2.0 / OIDC

EKS/GKE/AKS

Terraform

PostgreSQL

Cloud Storage

ClickHouse

Temporal

gRPC

REST

Prometheus

Grafana

Loki

Tempo

PostHog

GitLab CI

GitHub CI

ArgoCD

Job description

CAST AI seeks a platform engineer to develop the AI-assisted Kubernetes platform. You design agent flows, enable the MCP server, and link cloud APIs with Kubernetes control plane in real time. You will ship features end-to-end in tight cycles and tackle cross-cloud permission and data freshness challenges.

Join a remote-first team building scalable, secure AI-powered cloud infrastructure. You’ll work across AWS, GCP, and Azure with strong emphasis on Go, observability, and DevOps disciplines.