Partner cross-functionally with PMs, Data Scientists, and Risk Analysts to align engineering work with risk and business outcomes.
Productionize ML models for real-time scoring and decisioning (features, online/offline parity, monitoring).
Continuously improve the platform: identify gaps, lead architectural evolution, and influence long-term strategy.
Represent the initiative with stakeholders across the company.
Requirements
Proven technical leadership: leading projects, mentoring engineers, and shaping architecture.
Deep expertise in stream processing and distributed systems, especially stateful real-time processing.
Hands-on experience with Apache Flink (preferred), Spark Structured Streaming, or Apache Beam.
Strong backend skills in Java/Scala/Python and solid SQL; experience with Kafka or similar event logs.
Experience building real-time data/feature pipelines, service integrations, and APIs used by ML and risk engines.
Ability to work across functions, drive alignment, and communicate clearly with technical and non-technical partners.
A bias for engineering excellence: clean designs, quality code, measurable outcomes.
Benefits
Wellness Boost: Stay healthy with resources for physical and mental well-being with our flexible benefits and Employee Well-being Program - because you matter!
Customized Benefits: Tailor your benefits with our flexible plan.
Growth Opportunities: Unlock your potential through clear progression paths.
Skill Development: Access training resources to fuel your personal and professional growth.
Volunteer Time Off: Enjoy paid time off to make a difference in the world through volunteering.
Family Support: Take advantage of paid Family Care Leave to bond with your family, while our selected Flexible Benefits also cater to your family's needs.
Benefits are reviewed and updated on a yearly basis
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