Member of Technical Staff - Platform Engineering

Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases…

Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery…

Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running…

Maintain "Golden Path" deployment standards using Docker and Kubernetes to keep models, prompts, and application code perfectly synchronized across all environments.

High proficiency in Golang.

Practical AI & Storage Knowledge: Hands-on experience integrating LLM APIs, prompt engineering, and RAG pipelines, alongside expertise in managing vector databases and distributed caches.

Orchestration & Event-Driven Systems: Deep experience with Kubernetes and asynchronous message streaming via Kafka or RabbitMQ.

Observability & Reliability Mindset: Strong background in full-stack monitoring Prometheus, Grafana, ELK to maintain operational resilience, high throughput, and zero-downtime standard operating procedures.