Related skills
azure aws gcp apis sdks📋 Description
- Hands-on tech leadership of a team up to 10 engineers (ML/backend/frontend/infra).
- Own architecture for conversational AI, voice pipelines, and APIs/SDKs.
- Drive cloud strategy (AWS/GCP/Azure) for scalable, enterprise-grade systems.
- Optimize real-time ML inference (latency, throughput, cost) and orchestration.
- Build scalable developer platform abstractions and observability tooling.
- Lead and mentor the team; partner with founders; hands-on coding when needed.
🎯 Requirements
- 8-12+ years of engineering with leadership experience (leading 5+ engineers).
- Strong cloud architecture on AWS/GCP/Azure.
- Deep understanding of distributed systems and scalable backend APIs/platform design.
- Experience running ML systems in production.
- Strong full-stack skills (backend + frontend) with hands-on coding.
- Experience working with founders or startup/scale-up environment.
🎁 Benefits
- Real product-market validation and enterprise AI traction.
- Direct impact on architecture, product direction, and culture.
- Opportunity to grow into CTO.
- Remote-friendly, flexible work environment.
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