Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems across management and support function platforms
Develop and maintain scalable backend services and REST APIs using Java and Spring Boot, ensuring high availability, performance, and maintainability in a large corporate environment
Build and enhance responsive, user-facing web applications using React, delivering intuitive and accessible experiences for internal and external stakeholders
Deploy, manage, and monitor containerized applications using Kubernetes, ensuring platform reliability, scalability, and operational stability across environments
Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development
Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture
Contribute to a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficiency in Java backend development using Spring Boot, including REST API design and microservices architecture patterns
Hands-on experience building and maintaining front-end applications using React or a comparable modern JavaScript framework
Demonstrated experience deploying and managing containerized applications using Kubernetes in a production or near-production environment
Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, or documentation), with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies, including CI/CD, application resiliency, and security best practices
Preferred qualifications, capabilities, and skills
Familiarity with Commercial & Investment Bank management or operational support domain concepts such as reporting, workflow automation, or data visualization
Experience with relational or distributed database technologies including SQL, Oracle, or NoSQL platforms for data modeling and query optimization
Exposure to cloud infrastructure technologies including compute, container services, and storage (e.g., AWS, Azure, or GCP)
Experience with observability and monitoring tooling such as Datadog, Grafana, or Splunk for production system health and incident response
Knowledge of event-driven architecture patterns and asynchronous messaging frameworks such as Apache Kafka
