Java/Python & Flink/Redis Application Development Analyst

Citi; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Citi is seeking a Senior Polyglot Engineer to join their Fixed Income Data Platform Team in New York. The role focuses on designing, building, and maintaining the next-generation data platform, ensuring high performance and reliability across complex streaming solutions.

The ideal candidate will have extensive experience with Java and Python, along with hands-on expertise in Apache Flink and Redis. Citi promotes a collaborative work environment and champions innovative solutions, providing opportunities to leverage advanced technologies.

Qualifications

• 4+ years experience in software development with emphasis on microservices.
• Proficiency in Java and Python, targeting core functionalities.
• Hands-on experience with Apache Flink and Redis for real-time processing.

Responsibilities

• Analyze complex system requirements within microservices architectures.
• Contribute to service design for analytical and streaming services.
• Work closely with stakeholders to leverage platform capabilities.

Skills

Java

Python

Apache Flink

Redis

Microservices architecture

Data pipeline architecture

Kubernetes/OpenShift

CI/CD

Education

Bachelor’s degree/University degree

Tools

SonarQube

TeamCity

Jenkins

Apache Kafka

Job description

Java/Python & Flink/Redis Application Development Analyst

Location: Pune, Maharashtra, India

Job Type: Hybrid

Job Overview

Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets. FIA’s activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments.

The Fixed Income Data Platform Team is the backbone of Fixed Income's mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions. Our Data Platform Engineering team operates at the cutting edge, researching, adapting, and deploying the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.

We are looking for a Senior Polyglot Engineer to design, build, and maintain Citi's next‑generation data platform, focusing on complex streaming solutions, robust data pipeline architectures, and scalable microservices for quantitative scientists and traders.

Responsibilities

• Analyze complex system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub‑systems within microservices architectures and distributed data pipelines.
• Participate actively in Sprint Planning, Tasking, and Estimation of assigned work for the platform, demonstrating a clear understanding of cross‑stack dependencies.
• Contribute to component and service design for analytical and streaming services, considering scalability and performance across varied technologies.
• Work on bug resolution and application improvements, focusing on performance, maintainability, and code quality in streaming and microservices environments.
• Contribute to the strategic planning, setup, and maintenance of Flink and Redis infrastructure, including evaluating new streaming frameworks and caching solutions.
• Flexibly contribute across the full stack, adapting to diverse programming languages and frameworks as project needs evolve.
• May occasionally work a non‑standard shift including nights and/or weekends and/or have on‑call responsibilities.
• Stay abreast with new trends in open‑source tooling and champion innovative solutions that could improve the efficiency of the Fixed Income platform community.
• Work closely with business stakeholders to help them leverage platform capabilities and develop efficient analytical tools.
• Continuously seek to automate manual touchpoints in the technology delivery pipeline.

Recommended Qualifications

• 4+ years of demonstrable and relevant experience in software development, with a strong emphasis on designing and implementing microservices and complex streaming/data pipeline architectures.
• Proven proficiency in at least two of the following core languages/frameworks: Java (strong focus), Python, Angular, React.
• Deep expertise and hands‑on experience with Apache Flink for real‑time stream processing, including Flink SQL, DataStream API, state management, and comprehensive knowledge of Flink infrastructure setup, maintenance, enhancement, and migration strategies.
• In‑depth knowledge and practical experience with Redis, encompassing data structures, caching patterns, pub/sub mechanisms, and expertise in Redis cluster setup, maintenance, enhancement, and migration strategies for high‑performance applications.
• Extensive hands‑on experience with microservices architecture, design patterns, and deployment strategies.
• Experience with Large Language Models (LLMs), including fine‑tuning, prompt engineering, and integrating LLMs into applications.
• 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 in distributed data pipelines.
• Experience with the design and implementation of cloud‑native applications and deployment via Kubernetes/OpenShift, specifically for managing microservices and streaming data services.
• Good understanding of data modeling, partitioning, and sharding of huge data sets for optimal performance in large‑scale, distributed data platforms.

Software Engineering Skills

• Experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, focusing on rapid and reliable deployment of microservices and streaming components and data access layers. Familiarity with TeamCity, SonarQube, and Jenkins.
• Experience with the SDLC lifecycle and working within an Agile environment, adapting to fast‑paced data requirements.
• Demonstrable understanding and experience of engineering best practices: design patterns, coding standards, code review, and robust unit/integration testing across various languages.
• Strong experience with standard CI tools (Jenkins, TeamCity, SonarQube, Git).

Education

• Bachelor’s degree/University degree or equivalent experience.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.