Full Stack Java Developer

**Role Summary** We are looking for a highly skilled **Senior Full Stack Java Engineer** to drive the modernization of our core accounting and ledger workflows. In this role, you will design, build, and scale critical full\-stack applications that seamlessly bridge mainframe\-originated data with event\-driven cloud systems. You will play a pivotal role in shifting our architecture toward real\-time event streaming and scalable NoSQL persistence, ensuring that our financial platforms remain flawlessly accurate and performant. **Key Roles \& Responsibilities** * **Full Stack Engineering:** Own the end\-to\-end design, development, and maintenance of robust full\-stack Java applications that power critical accounting workflows. * **Event\-Driven Architecture:** Design and implement highly scalable, fault\-tolerant event\-driven components using Apache Kafka to enable real\-time financial data streaming. * **Data Persistence \& Modeling:** Architect data models and manage persistence strategies within Cosmos DB to ensure optimal read/write performance and absolute consistency. * **Cloud Data Pipelines:** Develop and optimize Azure Data Services pipelines to reliably ingest, transform, and move complex data originating from legacy mainframe systems. * **Domain Alignment:** Collaborate closely with financial analysts and product teams to translate complex accounting logic and custody workflows into clean, executable code. * **Code Excellence:** Drive rigorous code reviews, automated testing, and CI/CD best practices to ensure zero\-downtime deployments for financial software. **Required Skills \& Qualifications** * **Experience:** **5 to 8 years** of verifiable, hands\-on experience in enterprise Full Stack Java development. * **Streaming Ecosystems:** Strong working knowledge of Apache Kafka for high\-volume messaging and stream processing. * **NoSQL Databases:** Deep, hands\-on experience with Azure Cosmos DB (or highly similar NoSQL databases like MongoDB or Cassandra), including advanced data modeling. * **Cloud \& Mainframe Integration:** Proven experience developing Azure Data Services pipelines, with a specific focus on integrating and transforming legacy mainframe data. * **Domain Knowledge:** A solid, basic\-level understanding of accounting principles and domain exposure (direct experience with **custody accounting** is highly advantageous). **Nice\-to\-Have Skills** * Familiarity with Docker, Kubernetes, and managing containerised microservices in Azure. * Exposure to modern front\-end frameworks (e.g., Angular, React) used to build intuitive operational dashboards. Pay: $60\.00 \- $62\.00 per hour Work Location: Hybrid remote in Chicago, IL 60617