> Markdown version of [/jobs/ext/4006344-java-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/4006344-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:** Macpower Digital Assets Edge LLC - **Location:** Alpharetta, GA, United States - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Adobe InDesign, 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, React Redux, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/8ea0ab09-f4a5-4147-8846-2dcb4be539c8/java-full-stack-developer ## About the Role * Bachelors in Computer Science OR Information Technology. ## Description * Hands-on experience in design and development of software applications using Core JAVA. * Design event-driven workflows and data pipelines utilizing Apache Kafka or alternative enterprise messaging layers. * 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.