Software Engineer III - Full Stack, Global Banking Tech

Job responsibilities

• Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying sound engineering judgment to meet non-functional requirements including security, resiliency, and performance, and delivering iterative improvements for product teams
• Partner closely with product and UX to understand requirements, refine designs, and deliver intuitive, accessible, and consistent user experiences
• Contribute to end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for your outcomes
• Build secure, high-quality, production-ready UI using React, HTML, and CSS, leveraging reusable components, patterns, and libraries for consistency and speed
• Develop backend services and APIs integrating with relational databases and enterprise systems, applying sound data design and SQL practices, and contribute to architecture and design artifacts (e.g., technical designs, diagrams, architecture decision records) ensuring implementation aligns with design constraints and architecture standards
• Contribute to event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patterns
• Support containerized service delivery and operational readiness using Kubernetes, and contribute to CI/CD pipelines and automation
• Build and support scheduled and background processing (e.g., scheduled jobs and batch processing such as Spring Batch) where applicable to platform capabilities
• Support operational stability and reliability by contributing to incident response and root cause analysis, analyzing diverse datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observability
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Applies 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