Lead Java Developer, Citi

Citi

Location:
United States, New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

142320.00 - 213480.00 USD / Year

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Job Description:

The Fixed Income Data team at Citi supports GSP/Rates businesses by architecting, building, and operating high-performance, resilient data platforms that empower critical financial operations and drive real-time decision-making across the firm. The Lead Java Developer will serve as a principal architect and technical thought leader in the development of a real-time risk data processing framework.

Job Responsibility:

Serve as the principal architect for scalable, high-performance Java-based real-time data solutions, ensuring robust design for high availability, fault tolerance, and resilience for both real-time and EOD risk processes
drive the strategic implementation and optimization of distributed stream processing frameworks (Apache Kafka, Apache Flink) and real-time data storage technologies (Apache Pinot) for ultra-low-latency analytics and complex event processing
lead the end-to-end design, development, and operation of real-time streaming data pipelines, integrating with large-scale object storage solutions like S3 and analytics engines such as Trino
champion continuous improvement in data reliability, efficiency, and scalability
establish and enforce best practices for code quality, performance optimization, and system resilience through hands-on leadership and thorough peer code reviews
mentor and technically guide senior and lead developers
drive significant contributions across all phases of the Agile software development lifecycle, from architectural vision and detailed design to implementation, deployment, monitoring, and ongoing support for critical real-time data systems
collaborate strategically with business analysts, product managers, quality assurance teams, and other engineering leads to ensure the delivery of seamlessly integrated, high-impact technology solutions that align with business objectives and architectural standards
stay abreast of industry trends and emerging technologies in real-time data processing, distributed systems, and cloud-native architectures, evaluating and proposing their adoption where beneficial

Requirements:

7+ years of progressive experience in data engineering and software development, with a significant focus on building high-performance, large-scale distributed systems
expert-level command of Java (version 11 or higher) with a deep understanding of concurrent programming, multithreading, advanced OOP concepts, design patterns, and performance tuning
proven, hands-on production experience and deep architectural understanding of Apache Kafka or related technologies for high-throughput, fault-tolerant message queuing and streaming
proven, hands-on production experience and deep architectural understanding of Apache Flink or related technologies for advanced real-time stream processing, complex event processing, and stateful computations
proven, hands-on production experience and deep architectural understanding of Apache Pinot or related technologies for ultra-low-latency OLAP queries on streaming data
strong expertise in designing and implementing highly available, scalable, and resilient distributed systems
extensive experience with large-scale data storage solutions (e.g., S3, HDFS) and distributed query engines (e.g., Trino/Presto, Spark SQL)
advanced SQL knowledge with experience in optimizing complex queries for large datasets
demonstrated experience leading technical initiatives and teams within an Agile software development environment
exceptional communication, analytical, and problem-solving skills, with the ability to articulate complex technical concepts to diverse audiences and drive consensus on architectural decisions

Nice to have:

Experience with cloud-native data services on platforms like AWS, Azure, or GCP, particularly related to streaming and real-time analytics
hands-on experience with containerization and orchestration technologies such as Kubernetes and OpenShift for deploying and managing real-time data applications
experience in designing and implementing high-performance RESTful APIs and event-driven microservices architectures
deep understanding and experience with performance tuning, profiling, and optimization of real-time streaming applications and data stores
strong understanding of financial derivatives, fixed income products, and risk management concepts from a technical data perspective
a proven track record of mentoring junior to senior engineers, fostering technical growth, and building high-performing engineering teams
experience with data governance, data quality, and security best practices in real-time data environments
experience working effectively within a geographically distributed, global development team

What we offer:

Medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
September 20, 2025

Expiration:
September 26, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Java Developer