Senior Backend Engineer: Financial Data

📋 Description

• Own critical data infrastructure: ingest, transform, and serve datasets end-to-end.
• Architect for scale: build scalable pipelines with low latency and high throughput.
• Drive data integration: connect diverse datasets into a coherent platform.
• Enable AI with great data: structure and clean data for models used by the AI layer.
• Handle customer data with care: secure, compliant ingest to serving.
• Be a cultural anchor: lead by example and elevate the team.

🎯 Requirements

• Bachelor's in Computer Science or related field.
• 6+ years of software engineering, building complex, data-intensive backend systems.
• 4+ years with GCP or equivalent cloud stack, building and scaling production-grade services.
• Deep Python for backend; proficient in a strongly typed language (Rust/C++/Java), Java a plus.
• Mastery of large-scale distributed systems (async, streaming, queues, caching) with 3+ years distributed teams.
• Relational SQL plus NoSQL; in-memory (Redis); columnar stores (BigQuery, Snowflake, Redshift).