CakeAI

Full-stack Engineer

• Build Enterprise-Scale Infrastructure
• Leverage infrastructure-as-code to manage complex cloud environments supporting critical ML and AI initiatives.
• Design Kubernetes-native systems, including controllers/operators where appropriate.
• Improve platform networking, security, and observability
• Sustain Platform Health and Performance
• Own critical systems in production, including reliability, scalability, security, and cost efficiency.
• Identify and proactively address technical debt, operational risk, and platform bottlenecks.
• “Learn by doing” — Quickly ramp up to a complex tech stack (Terraform, Kubernetes, Istio, Crossplane, Go, TypeScript)
• Enable Teams and Customers to Move Faster
• Create abstractions and tooling that make it easier for teams and customers to deploy, run, and scale AI/ML workloads.
• Collaborate directly with customers to understand their ML infrastructure challenges and translate them into platform improvements.
• Balance speed and rigor—shipping quickly while maintaining a high bar for quality and safety.
• Lead Through Influence
• Act as a technical leader and mentor across the engineering organization.
• Write clear documentation and design proposals that align stakeholders and drive decisions.
• Partner closely with product and leadership to shape platform direction and priorities.

Staff Software Engineer, ML Platform