Senior Java Full Stack Engineer - React & Data Platforms Opening #509738

Rose International
Jersey City, NJ, United States
9 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$187,200.0 - $201,760.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Amazon S3 Big Data Unix Cloud Database Cloud Engineering Data Infrastructure Data Security Data Structures Database Queries
+26 more
Software Design Patterns Linux DevOps Distributed Systems Document-Oriented Databases Hadoop Distributed File System Object-Oriented Software Development Redis Software Engineering Systems Integration Data Processing Scripting Enterprise Software Applications Chatbots Modern Ui ReactJS Snowflake Spring-boot Software Application Programming Backend Containerization Data Lakes Storage Technologies Data Management Api Design Microservices

Job description

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., * 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.

Requirements

Must Have Skills/Attributes: Banking/Financial, Java, Linux, Microservices, React.JS, Spring Boot, UNIX

Experience Desired:

Experience in Java full-stack development and scalable enterprise applications (8+ yrs),

Experience in Java backend development and distributed system design (8+ yrs),

Extensive developing high-performance systems handling large data volumes (8+ yrs)

Required Minimum Education: Bachelor’s Degree

Preferred Education: Master’s Degree

C2C is not available, * Bachelor’s degree or university degree, or equivalent experience.

Preferred Education:

  • Master’s degree preferred., * 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., * Master’s (Preferred)

Experience:

  • APIs, data querying technologies: 1 year (Required)

Benefits & conditions

  • Dental insurance
  • Health insurance
  • Health savings account
  • Vision insurance

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