Senior Platform Engineer | AI Agents & Cloud Platform (Cast Pilot team)

📋 Job Overview

CAST AI is seeking an AI Platform Engineer to build the intelligence layer on top of our battle-tested Kubernetes infrastructure. Our Cast Pilot team is creating AI assistants for Kubernetes and cloud infrastructure, answering thousands of questions monthly from hundreds of organizations. This is greenfield AI platform work on top of production infrastructure, with features shipping in 1 to 4 weeks.

🏢 About CAST AI

CAST AI is a cloud cost optimization platform that runs Kubernetes infrastructure autonomously, making thousands of cost-and-reliability decisions daily. We're now opening our platform up with a public, permission-aware MCP server, deeper connectivity across AWS, GCP, and Azure, and continuous improvements to make our agents smarter and more capable.

🎯 The Role

Your job is to make the interaction between platform engineers and AI assistants boring—reliably, securely, at production scale. Behind it sits an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes infrastructure to external AI clients, and quality pipelines that catch errors before customers do.

✅ Key Responsibilities

• Design and build systems behind our AI assistant: agent flows, context retrieval, and data connections for reasoning about live Kubernetes infrastructure
• Build and evolve our public, permission-aware MCP server with curated tools, identity, audit, and safety gates
• Develop and maintain cloud connectivity across AWS, GCP, and Azure
• Write production Go services that interact with cloud provider APIs, Kubernetes control plane, and LLM APIs
• Own features end-to-end: from design through implementation, testing, and production rollout
• Debug novel problems: wrong answers, permission edge cases, data freshness issues
• Build quality harness: evals, telemetry, feedback loops for agent improvements
• Contribute to product direction and backlog
• Participate in team's on-call rotation

📌 Required Qualifications

• Strong software engineering fundamentals: clean abstractions, maintainable code, justifiable architecture choices
• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills
• Experience building or operating large-scale SaaS platforms in production
• Solid understanding of Kubernetes, including autoscaling, scheduling, and networking concepts
• You've personally driven a complex project end-to-end
• Hands-on experience with AI coding agents and agentic development workflows
• Experience with 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

⭐ Desirable Experience

• Built agentic systems that shipped: MCP servers/clients, agent gateways, RAG pipelines, evaluation frameworks
• Deep hands-on experience with AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and APIs
• Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization
• Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design
• Deep knowledge of EKS, GKE, or AKS internals
• Kubernetes or cloud-native OSS contributions

🎁 Benefits

• Competitive salary (€6,500 to €9,000 gross, depending on experience)
• Work on genuinely new problems in production MCP platforms and AI assistants
• Equity options
• Real users, fast: work ships to hundreds of organizations in weeks
• Flexible, remote-first global environment
• Collaborate with a global team of cloud experts and innovators
• Spend 10% of work time on personal projects or self-improvement
• Learning budget for professional and personal development
• Annual hackathon to spark new ideas and strengthen team bonds
• Team-building budget and company events
• Equipment budget
• Extra days off for work-life balance

🛂 Visa & Eligibility

As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that CAST AI does not provide any form of visa sponsorship/work permit.