About this role
At BlackRock, technology is the foundation of our business. As a Associate, Java Back-End Engineer, youll lead by example architecting, coding, and mentoring teams to build resilient systems that power our global post-trade operations. Youll design and deliver enterprise-scale software with a focus on reliability, performance, and clean engineering practices.
About Post Trade Accounting (PTA)
- A major strategic area within Aladdin and one of BlackRocks largest engineering investments.
- Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations.
- Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and Kafka to manage high-volume, real-time data.
- Collaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities.
- Agile and collaborative environment that values technical depth, quality, and innovation.
Key Responsibilities
- Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem.
- Lead design discussions, code reviews, and architecture sessions with a hands-on approach.
- Build and maintain microservices and event-driven systems to process and distribute large-scale financial data.
- Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms.
- Implement and optimize Redis-based caching and data stores for low-latency access patterns.
- Champion best practices for code quality, testing, automation, and performance tuning.
- Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.
Qualifications / Competencies
- B.S./M.S. in Computer Science, Engineering, or related discipline.
- 3+ years of professional experience in Java and object-oriented design.
- Strong knowledge of Spring Boot, REST APIs, and enterprise integration patterns.
- Deep expertise in SQL Server, including stored procedures, performance tuning, and data modeling.
- Experience with Redis for caching or data persistence.
- Hands-on exposure to Kafka or similar publish-subscribe systems for real-time event processing.
- Familiarity with Snowflake and data pipeline concepts (ETL, batch vs. streami...
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