Lead evolution of backend architecture with focus on data pipelines.
Refactor and optimize existing data pipelines for scalability and performance.
Drive development of distributed data storage and processing systems.
Architect interfaces that abstract complexity for data consumers (web apps, analytics, AI).
Transform infrastructure into a robust, high-performance foundation.

🎯 Requirements

BS/BTech (or higher) in Computer Science, Engineering or related field.
8+ years of production-level experience building scalable systems.
4+ years as a trusted technical decision-maker solving short-term and long-term value.
4+ years of experience with SQL or other database querying languages on large multi-table data sets.
Experience architecting, developing, deploying large-scale distributed systems.
Experience with cloud technologies (AWS, Azure, GCP).

🎁 Benefits

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