Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem.
Take active part in 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.
Contribute end-to-end; when needed, take on lightweight UI updates, leveraging AI-assisted coding tools and support from front-end teammates.
Champion best practices for code quality, testing, automation, and performance tuning.
Elevate technical craftsmanship, problem-solving, and design thinking skills.
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.
4+ 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. streaming).
Familiarity with Front End technologies (Angular or React; JavaScript/TypeScript; HTML/CSS) is preferred.
Experience with Agentic coding and general understanding of how LLMs are working
Strong focus on clean architecture, maintainability, and production readiness.
Excellent communication
Requirements
Experience with Kubernetes, Docker, or cloud-native environments (AWS/GCP).
Exposure to observability tools (Prometheus, Grafana, Open Telemetry).
Scripting experience in Python for automation or data analysis.
Exposure to Prompt Engineering and Agentic AI
Interest in financial systems, accounting, or investment technology.
Benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelGuidance on AI use for candidatesAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but duringHealth insuranceFlexible schedulePerformance bonus
Additional Information
About this role
About this Role:
At BlackRock, technology is the foundation of our business. As an Backend Engineer, you'll build resilient systems that power our global post-trade operations. You'll design and deliver enterprise-scale software with a focus on reliability, performance, and clean engineering practices.
This role is ideal for engineers who like to innovate and solve complex challenges while fostering a culture of excellence and continuous improvement.
About Post Trade Accounting (PTA):
A major strategic area within Aladdin and one of BlackRock's 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.
Blackrock · New York, NY