Software Engineer III - Java

Join us to shape the future of payments technology through innovative backend development. You’ll have the opportunity to make a real impact, grow your career, and collaborate with a diverse, inclusive team. We value your expertise and encourage you to bring your ideas to the table. Experience a culture that supports your development and celebrates your contributions. Together, we’re building solutions that empower both our customers and our developers. Job Summary: As a Java Software Engineer in the Payments Developer Portal team, you will design, develop, and maintain backend services that power our public-facing web portal. You will work closely with product partners and technical teams to deliver customer-facing capabilities and internal enablement. Your contributions will drive business impact, enhance platform security and resiliency, and support developer self-service. You will help foster a culture of diversity, equity, inclusion, and respect while advancing modern engineering practices. Job Responsibilities: Collaborate with technical teams, product partners, and stakeholders to deliver customer-facing capabilities and internal enablement Design, develop, and maintain secure, high-quality production Java services (APIs and supporting components), reviewing and debugging code Contribute to decisions influencing product design, API design, application functionality, and technical operations Build and integrate services supporting portal experiences such as API discovery, documentation delivery, onboarding flows, entitlements, analytics, and developer self-service Implement and advocate for security best practices, including secure coding, secrets handling, authentication/authorization, and data protection Participate in agile ceremonies and promote modern engineering practices (CI/CD, automated testing, trunk-based development, resiliency patterns) Add to the team culture of diversity, equity, inclusion, and respect Leverage 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 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 Required Qualifications, Capabilities, and Skills: Strong proficiency with modern Java (e.g., Java 11/17+), concurrency fundamentals, and performance-aware coding Experience building services with Spring / Spring Boot, including dependency injection, configuration, and REST services Strong experience designing and implementing RESTful APIs, schema/versioning practices, and contract-first or OpenAPI-driven development Hands-on experience with secure coding and safe data handling Unit/integration testing (e.g., JUnit, Mockito) and ability to build effective automated test coverage Experience interacting with downstream services, troubleshooting integration issues, and designing for resiliency (timeouts, retries, circuit breakers) Practical experience with relational databases and SQL; familiarity with caching patterns is a plus Exposure to agile methodologies, CI/CD pipelines, and production support practices (monitoring, on-call readiness, post-incident reviews) Strong communication skills and ability to collaborate across functions Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred Qualifications, Capabilities, and Skills: Experience with AWS services relevant to backend platforms (e.g., IAM, ECS/EKS, EC2, S3, RDS/Aurora, CloudWatch, API Gateway, Lambda) Familiarity with microservices, service decomposition, event-driven patterns, and domain-driven design Experience with containerization and orchestration tools such as Docker and Kubernetes Understanding of Infrastructure as Code tools (e.g., Terraform) and environment provisioning Experience with observability tools and concepts (logging, metrics, tracing, OpenTelemetry) Exposure to integrating AI capabilities (semantic search, retrieval-based Q&A, content summarization) with attention to quality, privacy, and governance Understanding of modern application infrastructure design and non-functional requirements (security, scalability, availability) Familiarity with caching technologies (e.g., Redis or in-memory caching patterns)