remote
Platform Architect - Zendesk
Software Engineer
Design and lead the technical strategy for enterprise‑grade AI platforms, shaping cloud‑native microservices, scalable APIs, and self‑improving agents using Python and Kubernetes.
About the role
Key Responsibilities
- Define and drive the architectural vision for a cloud‑native AI platform that powers enterprise self‑service agents.
- Design scalable microservice ecosystems, including API contracts, data pipelines, and event‑driven workflows.
- Collaborate with product, engineering, and customer teams to translate business requirements into robust technical solutions.
- Lead adoption of Kubernetes, CI/CD, and observability practices to ensure high availability and performance.
- Mentor engineering squads on best practices for AI model integration, security, and cost‑optimized cloud deployment.
Requirements
- 5+ years of experience designing and delivering large‑scale cloud platforms, preferably on AWS or GCP.
- Strong expertise in Python development and API design (REST/GraphQL).
- Hands‑on experience with Kubernetes, container orchestration, and infrastructure‑as‑code tools.
- Deep understanding of AI/ML workflows, model serving, and self‑improving systems.
- Proven ability to influence technical strategy across cross‑functional, distributed teams.