Full Stack Java/React Developer - Data Scientist Senior Associate
JPMorgan Chase · United States · 10d ago
SeniorOn-siteSoftware Engineering
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
If you enjoy crafting elegant Java/React, wrangling data into insight, and making resilience feel routine, this is where you belong.
As a Full Stack Java/React Developer - Data Scientist Senior Associate in Consumer and Community Banking Operations at JPMorganChase, you will be an integral part of an agile team that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you will deliver high-quality features and solutions across multiple technical areas, bridging full-stack engineering with data-driven insights, while developing a strong understanding of the business problems you're solving.
Job responsibilities
- Develop and maintain high-quality software solutions using Java, SpringBoot, Microservices, and React Micro frontends
- Build and deploy cloud-based applications on AWS, specifically utilizing AWS ECS
- Collaborate with cross-functional teams to ensure seamless integration and deployment using DevOps practices
- Participate in code reviews, providing and incorporating constructive feedback to maintain engineering standards
- Partner with designers, product owners, and back-end engineers to create user-friendly, visually appealing, and performance-optimized interfaces
- Proactively identify and build solutions beyond standard feature delivery, such as data pipelines, integrations, and tooling that improve team capability and operational efficiency
- Apply CI/CD and DevOps best practices to streamline build, test, and deployment processes
- Optimize applications for maximum speed, scalability, and cross-browser compatibility
- Troubleshoot and resolve production issues, contributing to system reliability and operational stability
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- Add to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years of applied experience
- Hands-on experience with Java, SpringBoot, Microservices, React frontends, and AWS ECS
- Ability to work effectively within a team while demonstrating growing independence in problem-solving and delivery
- Solid communication skills and ability to work effectively with individuals across the globe
- Intellectual curiosity and willingness to operate beyond traditional role boundaries, comfortable navigating ambiguity and learning new domains quickly
- Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines, including tools like Jenkins and Spinnaker
- Understanding of SQL and Kafka
- Experience collaborating in Agile/Scrum development environments
- Experience in working with diverse teams and contributing to an inclusive work environment
- Experience contributing to requirement refinement and crafting user stories
Preferred qualifications, capabilities, and skills
- Experience with data engineering in AWS, including designing pipelines that land, transform, and load data using services like S3, Glue, Lambda, and Aurora
- Familiarity with database and schema design, management, and optimization in relational databases such as Aurora/PostgreSQL
- Ability to engage directly with business stakeholders, understand operational context, and translate business needs into technical solutions without heavy product management support
- Knowledge of banking operations and data
- Understanding of AI principles with practical experience in incorporating AI-driven solutions into user interfaces
- Familiarity with agentic frameworks including prompting, workflows, tools along with experience with Python
- Positive attitude and enthusiasm for working in a multicultural environment along with open-mindedness and adaptability to different perspectives and ideas