Senior Java Full Stack Engineer - React & Data Platforms
Rose International
Jersey City, NJ · Posted October 23, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Rose International
More in New Jersey job market · Technology & Software · Data & Analytics jobs
More roles at Rose International
- Direct Buyer · Jeffersonville, OH
- Account Coordinator Co Louisville Rose International Job · Louisville, CO
- Lead Full Stack Python Engineer · Tampa, FL
- Senior Python Engineer · Rutherford, NJ
Similar jobs
- Senior Associate, Full-Stack Engineer · Bank of New York Mellon · Jersey City, NJ
- Vice President, Senior Full Stack Engineer - SMA Solutions · BlackRock · Princeton, NJ
- Full Stack Developer · Colgate Palmolive · Piscataway, NJ
- Software Engineer (Level 3/4) AHT · Northrop Grumman · Dulles, VA
- Software Engineer Lead · Modern Technology Solutions · MD
- Provider / Domain Lead Principal Application Architect · Gainwell Technologies · Any city, TX
Where Jersey City, NJ ranks
Where Jersey City, NJ placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best all-round cities for mid-career professionals in the Northeast69 / 100 · of 26
- #5Best cities for entry-level jobs that want AI skills in the Mid-Atlantic10% · of 62
- #5Best all-round cities for AI careers in the Northeast79 / 100 · of 26
- #6Best cities for AI-skill jobs in the Northeast16% · of 70
- #6Best all-round cities for AI careers in the Mid-Atlantic83 / 100 · of 37
- #7Best cities for AI-skill jobs in the Mid-Atlantic16% · of 85
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Required Education:• Bachelor’s degree or university degree, or equivalent experience.Preferred Education:• Master’s degree preferred.Required Skills, Experience, & Abilities:• Expert-level knowledge of core Java concepts, Spring Boot, microservices, object-oriented programming (OOP), and design patterns.• Hands-on experience with Java full-stack development, including React JS, UI/UX application development, and handling large data volumes.• Strong backend development skills and experience building scalable, high-performance software platforms for data computation and processing.• Strong understanding of data structures, algorithms, distributed systems, and software design patterns.• Experience querying data lakes and working with modern storage technologies such as Amazon S3 and HDFS.• Experience working with APIs, data querying technologies, and integrating chatbots and conversational AI.• Knowledge of containerized deployments, cloud-native architecture, and cloud-based data processing platforms such as Snowflake.• Experience with caching solutions such as Pinot and Redis.• Experience with relational and/or document-oriented databases.• Strong working knowledge of Linux/Unix environments and scripting.• Ability to translate business and analytical requirements into efficient technical solutions.• Strong problem-solving, analytical thinking, and written and verbal communication skills.• Self-starter with the ability to take initiative and drive projects independently.• Ability to align technology solutions with business objectives and regulatory requirements.• Typically, 8+ years of relevant experience building large-scale, production-grade systems, with demonstrated expertise in Java backend development and distributed system design.Desired Skills, Experience, & Abilities:• Background in financial services, particularly Market Risk or FinTech.• Familiarity with Agile software development and DevOps best practices.• Experience optimizing large-scale data processing and querying for reporting and analytics.• Ability to provide technical leadership, mentor junior developers, influence technical direction, and manage multiple initiatives in parallel.Job Overview:Seeking an experienced Java full-stack developer with strong backend expertise and React JS UI/UX development capabilities to build and enhance scalable, high-performance Market Risk technology solutions.The role focuses on developing applications that query large data lakes stored in modern technologies such as Amazon S3 and HDFS, leveraging APIs and data querying technologies to support reporting, analytics, and business requirements. The position emphasizes querying and optimizing existing data lakes rather than building them.The developer will work with large data volumes, modern data platforms, caching technologies, and cloud-native architectures to deliver efficient data processing and analysis capabilities. The role also involves integrating applications with chatbots and conversational AI while ensuring alignment with business objectives and regulatory requirements.Responsibilities:• Lead technical design and implementation of key Market Risk platform components while remaining deeply hands-on in development.• Develop scalable, high-performance computing solutions for market risk calculations and analytical capabilities.• Build and maintain Java full-stack applications using React JS, Spring Boot, microservices, and modern UI/UX practices.• Query and optimize large data lakes using technologies such as Amazon S3 and HDFS to support reporting, analytics, and efficient data access.• Implement containerized deployments and integrate with modern data platforms such as Snowflake for cloud-based data processing.• Optimize risk data processing pipelines to improve efficiency and response times.• Collaborate with product leads, cross-functional teams, and global counterparts to identify improvements and deliver high-quality technology solutions.• Partner with Risk, Model Governance, and Compliance stakeholders to ensure regulatory requirements are accurately implemented in Market Risk technology.• Work within an Agile development environment to ensure timely and efficient product delivery.• Provide technical leadership and mentorship to junior developers within the team.**Only those lawfully authorized to work in the designated country associated with the position will be considered.** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**