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Senior Java Developer Fixed Income Data

Job in Mississauga, Ontario, Canada
Listing for: Citi
Full Time position
Listed on 2026-01-31
Job specializations:
  • Software Development
    Backend Developer, Software Engineer, Cloud Engineer - Software, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 94300 CAD Yearly CAD 94300.00 YEAR
Job Description & How to Apply Below
The Fixed Income Data team is experiencing rapid growth, committed to delivering cutting-edge data-centric solutions. Our initiatives span across critical domains including sales, risk, pricing, quants, algorithmic trading, execution, and trade processing. To fulfill this mission, we operate a sophisticated data analytics stack centered around API-driven data access, large-scale data processing, and distribution technologies, alongside microservices. We manage immense daily data volumes, with the core objective of empowering fixed income business to sustain competitive advantage through the generation of actionable insights from these diverse datasets.

A successful candidate will tackle complex technical challenges, developing best-in-class, next-generation solutions that demonstrate measurable and visible revenue impact. This is a highly rewarding and dynamic opportunity to collaborate directly with one of the most forward-thinking and successful businesses in the financial sector. You will work closely with all areas within the Rates business, solving both business and technology problems with direct, tangible impact.

Responsibilities:

Design, develop, and implement highly scalable and resilient API services for data access and processing, leveraging big data platforms.

Conduct feasibility studies, time and cost estimates for new API-driven data solutions and establish and implement new or revised applications and systems to meet specific business needs or user areas.

Monitor and control all phases of the development process (analysis, design, construction, testing, and deployment) for API-driven data applications, providing operational support.

Utilize in-depth specialty knowledge of API development for big data environments and analytics to analyze complex problems/issues, evaluate business processes, system processes, and industry standards, and make evaluative judgments.

Ensure essential procedures are followed and help define operating standards and processes for API-driven data infrastructure.

Serve as an advisor or coach to new or junior analysts on API development and big data access best practices.

Operate with a limited level of direct supervision, exercising independence of judgment and autonomy.

Act as a Subject Matter Expert (SME) to senior stakeholders and/or other team members on data API technologies and their application in finance.

Knowledge/

Experience:

Technical

Skills:

3-5 years of demonstrable and relevant experience in software development, with a strong focus on API development and big data solutions.

Expertise in developing high-performance APIs for large-scale data platforms and distributed systems.

Extensive hands‑on experience with data distribution platforms like Apache Kafka, and various big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low‑latency access via APIs.

Solid understanding of Java / Scala with a focus on building high-performance, concurrent applications.

Strong experience with the Spring stack, particularly Spring Boot for building microservices that expose data via APIs.

Expert‑level understanding and demonstrable experience in REST API development for data reporting and consumption.

Demonstrable experience in writing reusable, testable, and efficient code with proper error and exception handling, especially for fault‑tolerant API services.

Experience with the design and implementation of cloud‑native applications and deployment via Kubernetes / Open Shift, specifically for managing API-driven data services.

Hands‑on experience in handling various data structures and optimizing them for API consumption and analytical queries.

Experience with API Gateway, Circuit Breaker, Spring Security, Discovery Server, and monitoring services (e.g., Prometheus, Grafana) is a plus, particularly in an API-driven data ecosystem.

Good understanding of data modeling, partitioning, and sharing of huge data sets for optimal performance in large‑scale data platforms accessed via APIs.

Software Engineering

Skills:

Experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, with a focus on rapid and reliable deployment of API services and…
Position Requirements
10+ Years work experience
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