Addepar - Staff Software Engineer-Reference Data
Requirements
• 2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor. • A computer science degree or equivalent experience • Strong problem-solving and decision-making skills • Prior experience with distributed systems, microservices and messaging queues • Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines • Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary • Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus • Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. • Act Like an Owner - • Build Together - Collaborate to unlock the best solutions. Deliver lasting value. • Build Together - • Champion Our Clients - Exceed client expectations. Our clients’ success is our success. • Champion Our Clients - • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. • Drive Innovation - • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. • Embrace Learning -
Responsibilities
• Drive the technical direction in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community • Build and manage a team of exceptional engineers to design, develop, and deploy scalable solutions that meet client requirements on time • Be a player-coach who leads the team to build frameworks that supports highly performant ingestion and distribution of financial data and build AI-native products, moving from initial prototype to scalable production services with high velocity. • Advocate for standard methodologies, find opportunities for automation and optimizations in processes to increase throughput , latency and accuracy • Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency • Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement
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