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Senior, niche, enterprise-deployment backend role at lesser-known startup reduces applicant density.
Role requires deep backend, data-intensive, and auditable-finance experience, limiting cross-industry fit.
Explicit 8+ years, Staff-level expectation and strict tech and correctness requirements enforce high filtering.
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Own and develop core backend services responsible for financial and operational data computations ensuring correctness, traceability, and auditability.
Build and maintain a configuration-driven composable computation component library and runtime to support multi-domain onboarding without bespoke code.
Work embedded with enterprise customer engineering teams to integrate the platform and improve core services based on real-world environments; accountable for service correctness and performance.
8+ years backend engineering experience with significant Staff-level ownership of complex, data-intensive systems.
Expertise in Python, SQL (Snowflake or PostgreSQL), and experience with Docker, Kubernetes, and Terraform for multi-tenant customer-hosted deployments.
Strong skills in building configuration-driven, extensible service architectures and elite SQL/data modeling, including window functions and large-scale joins.
Experience working directly with customers or external technical stakeholders, debugging uncontrolled environments and explaining technical outcomes to non-engineers.
Experienced in designing and operating data-intensive backend systems for enterprise-scale finance or operational domains prioritizing correctness and auditability.
Comfortable with configuration-over-code design philosophy to enable extensibility and reduce bespoke engineering across domains.
Ability to collaborate closely with enterprise customer teams on-site to translate requirements into robust, reusable platform components while owning service reliability and performance.
