Fullstack Software Engineer III - Java

In this role you design, build, and deploy secure, scalable software within the Digital Document Services team to support the firm's core objectives. You work in an agile, cross-functional environment, delivering production-ready solutions and high-quality code. You will leverage data insights to inform architecture and collaborate across disciplines to drive improvements. This is an opportunity to contribute to innovative, AI-assisted development while shaping digital document capabilities at scale.

• Execute end-to-end software solutions across design, development, and troubleshooting to produce production-ready applications
• Deliver secure, high-quality production code and maintain algorithms synchronized with relevant systems
• Produce architecture and design artifacts for complex applications adhering to standards
• Analyze large, diverse data sets to inform technical decisions and visualize insights
• Identify data patterns to improve coding hygiene and system architecture
• Contribute to engineering communities and explore emerging technologies
• Foster a culture of diversity, inclusion, and collaboration within the team
• Leverage enterprise-authorized AI coding assist tools to enhance quality, speed, and productivity with peer review, automated testing, and secure coding practices
• Apply SDLC toolchain knowledge, including AI-assisted development and automation, to maximize automation value

• Formal training or certification on software engineering concepts with practical experience
• Experience in system design, application development, testing, and operational stability
• Proficiency in one or more programming languages
• Hands-on coding, debugging, and maintenance in a large-scale environment with modern languages and SQL/NoSQL databases
• Experience with server-side Java (Core Java, J2EE), XML, JSON, Spring Framework
• Web applications and REST APIs development with relational (Oracle/Sybase) or non-relational (MongoDB) databases
• Git, CI tools (e.g., Jenkins), and automation/testing tools (Selenium, Cucumber, Flyway, Concordion)
• Linux, shell scripting, and application servers (Apache, Tomcat, Spring Boot)
• Frontend technologies (Angular, TypeScript, React) and UI testing tools (Jasmine, Karma, Jest)
• Cloud-native platforms (AWS, Kubernetes, or private cloud)
• Experience with enterprise AI-assisted development tools and responsible AI practices

• Collaborative mindset
• Curiosity about new technologies
• Commitment to inclusion and respectful teamwork
• Core Java, J2EE, Spring Framework
• XML, JSON
• REST API development