Senior Platform Engineer

Job summary

Build and operate the foundations of an AI product platform that connects external data sources and supports real-time workflows. The role includes integrating AI products, routing streaming responses and language model requests across providers with fallback and cost controls, and improving reliability and performance through monitoring, instrumentation, and production issue analysis. The platform uses TypeScript, Docker, Kubernetes, and PostgreSQL.

Qualifications

• At least 3 years of production backend engineering experience.
• Substantial TypeScript experience and ownership of production systems.
• Production experience with Docker and Kubernetes.
• Knowledge of PostgreSQL, APIs, queues, and caching.
• Ability to reason about performance, latency, reliability, and cost trade-offs.
• Experience improving platform reliability and performance under production load.
• Experience building observability to diagnose complex systems.
• Experience with streaming responses or language model request routing across providers is valuable.
• Comfort contributing to frontend code when needed.
• Experience with CI/CD, safe deployments, and incident follow-up is beneficial.

Responsibilities

• Integrate AI products processing data from external sources and multiple systems in real time.
• Route streaming responses and language model requests across providers with fallback and cost controls.
• Monitor latency, costs, and error rates, and address issues proactively.
• Make architectural decisions that balance system quality with maintainable designs.
• Build application code and contribute to platform operations.
• Investigate production issues using instrumentation and root-cause analysis.

Skills

Industry

Relocation