> Markdown version of [/jobs/ext/2658689-java-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/2658689-java-full-stack-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # JAVA Full-Stack Developer - **Company:** Trispark Inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Agile Methodology, Software Applications, Application Performance Management, HTML5, Big Data, Cascading Style Sheets (CSS), Cloud Database, Code Review, Data Structures, IBM DB2, Fault Tolerance, PostgreSQL, Multithreading, Real Time Systems, ReactJS, Snowflake, Information Technology, Low Latency, Apache Kafka, Front End Software Development, React Redux, Data Pipelines - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/d6fe388d-5e20-40a7-8ae4-548f1c9b7e26 ## About the Role * Hands-on 5+ years of experience in design and development of software applications using Core JAVA., * Bachelors in Computer Science OR Information Technology ## Description * Design event-driven workflows and data pipelines utilizing Apache Kafka or alternative enterprise messaging layers. * Frontend Development: Create responsive, component-driven user interfaces using ReactJS, Redux, HTML5, and CSS3. * Provide technical guidance and expertise in Java development best practices. * Collaborate with stakeholders to understand business requirements and translate them into technical solutions. * Ensure system resiliency, fault tolerance, low latency, and horizontal scalability for critical financial platforms. * Conduct code reviews, mentor team members, and ensure adherence to coding standards. * Troubleshoot technical issues and provide timely resolutions. * Analyze and optimize application performance and scalability. * Develop high-performance, multi-threaded server-side applications. * Integrate big data ecosystems with relational or cloud databases (e.g., Snowflake, PostgreSQL, DB2). * Collaborate with global quantitative, risk, and trading technology teams in an Agile environment. * Optimize query performance, data structures, and algorithms for low-latency batch or real-time processing. ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Developer Joy with Quarkus](https://www.wearedevelopers.com/videos/1591-developer-joy-with-quarkus) - [Quarkus. A Bliss for developers](https://www.wearedevelopers.com/videos/385-quarkus-a-bliss-for-developers) - [Can SVG be fast? Rendering a scatter chart with over 10k points](https://www.wearedevelopers.com/videos/100299-can-svg-be-fast-rendering-a-scatter-chart-with-over-10k-points) ## Related Articles - [Top 10 Java Libraries](https://www.wearedevelopers.com/magazine/364-top-10-java-libraries) - [93 Java Interview Questions You Should Prepare For](https://www.wearedevelopers.com/magazine/14-93-java-interview-questions-you-should-prepare-for) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [React Developer Salary [2023]](https://www.wearedevelopers.com/magazine/198-react-developer-salary-2023) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)