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Remote senior platform role at a well-known VC-backed startup, but high seniority reduces applicant density.
Role requires specific SaaS platform and distributed-systems experience, limiting cross-industry transferability.
Multiple mandatory technical filters (10+ years, distributed systems, multi-tenant, Kubernetes, cloud) indicate high rigor.
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Architect and scale enterprise-scale platform services, APIs, and infrastructure supporting billions of assets and 100K+ users with 99.99% availability.
Design and own multi-tenant data plane components, including context store, lakehouse infrastructure, vector stores, graph databases, and OLTP systems.
Lead technical direction through multi-quarter initiatives, standards (RFCs), architecture reviews, mentoring senior engineers, and debugging distributed systems.
10+ years experience in platform engineering, infrastructure, or backend systems in a SaaS company.
Expertise in building enterprise-scale distributed systems with multi-tenant architectures and tenant isolation strategies.
Strong skills in Kubernetes, containerization, cloud infrastructure (AWS/GCP/Azure), distributed systems patterns (service mesh, event-driven architecture, orchestration).
Work Experience Required: 10+ years platform/infrastructure/backend systems experience in SaaS environment. Notice period: Not explicitly mentioned in the JD.
Proven ability to lead and deliver multi-quarter, large scale technical initiatives from concept to production.
Comfortable pioneering AI-native development workflows and influencing architecture across teams in a fast-paced scale-up environment.
Strong operating style as a high-agency engineer who elevates technical standards and mentors senior engineers.