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azure aws kubernetes gcp ai📋 Description
- Design, build, and own platform services for app lifecycle, distribution, and runtime.
- Architect systems for reliability, scalability, and multi-tenancy.
- Lead complex initiatives end-to-end from design to rollout and ownership.
- Build and evolve cloud-native infrastructure on Kubernetes across AWS/GCP.
- Solve distributed systems problems: isolation, tenant scaling, observability.
- Write production-grade code, using AI-tools as a multiplier.
🎯 Requirements
- 8+ years experience building and operating large-scale backend or platform systems.
- Deep expertise in Kubernetes, containerization, and orchestration in production.
- Hands-on cloud infra (AWS, GCP, or Azure): networking, compute, storage, security.
- Proven experience operating at scale—high-traffic, distributed, mission-critical.
- Platform engineering principles: reliability, automation, self-service, developer experience.
- Experience designing systems with high availability, fault tolerance, and deep observability.
🎁 Benefits
- Ownership from Day One: own impactful projects and growth path.
- Limitless opportunities to take initiative and grow.
- A Global Data Community with open-source and learning opportunities.
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