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Senior 10+ distributed-systems role with specialized petabyte-scale backend reduces applicant density.
Specialized backend and storage/control-plane expertise limits transferable candidates across industries.
Explicit 10+ years plus deep distributed systems, API, security, cloud, and Kubernetes requirements enforce strict filters.
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Design and build scalable, resilient distributed backend services and APIs for centralized control and lifecycle management across hybrid (OnPrem + cloud) environments.
Own API lifecycle management including versioning, backward compatibility, and governance to support automation, policy workflows, and integrations.
Implement secure, fault-tolerant systems with deep observability and enterprise-grade self-service capabilities supporting petabyte scale mission-critical AI/data workloads.
10+ years experience in backend or distributed systems engineering.
Proficiency in at least one modern backend language (Go, C++, Java, Python, or similar).
Strong knowledge of microservices architecture, distributed systems concepts, security principles (authentication, authorization, encryption), and cloud-native containerized environments (e.g., Kubernetes).
Work Experience Required: 10+ years
Experienced in designing and operating large-scale distributed backend systems with high availability and low latency requirements.
Strong ownership of API design, versioning, documentation, and lifecycle management in an API-first platform environment.
Proven capability to embed security, observability, automation, and policy-driven orchestration in backend service development for hybrid cloud environments.