Lead Java Developer, Citi

Citi

Location:
United States, New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The role involves architecting and leading enhancements in real-time risk data acquisition and processing frameworks at Citi. This includes strategic adoption of streaming technologies such as Apache Kafka, Flink, and Pinot and operation of petabyte-scale datasets. Engineers will work on high-performance, mission-critical systems within a global financial environment.

Job Responsibility:

Serve as the principal architect for scalable, high-performance Java-based real-time data solutions
Drive the strategic implementation and optimization of distributed stream processing frameworks (Apache Kafka, Apache Flink) and real-time data storage technologies (Apache Pinot)
Lead the end-to-end design, development, and operation of real-time streaming data pipelines
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 peer code reviews
Mentor and guide engineering teams
Drive significant contributions across all phases of the Agile software development lifecycle
Collaborate strategically with business analysts, product managers, quality assurance teams, and other engineering leads
Stay abreast of industry trends and emerging technologies

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, Apache Flink or related technologies, and Apache Pinot or related technologies
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 & disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays

Additional Information:

Job Posted:
November 14, 2025

Expiration:
November 20, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Java Developer