Java & Angular Full Stack Developer

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Innovative thinking, collaboration, and modern engineering practices come together here to help transform the financial industry. 

Schwab is seeking a hands-on Full Stack Java/Angular Engineer to support the continued evolution of the Schwab Advisor Portfolio Connect platform. This is an individual contributor role where engineers own features end to end—from technical design through development, testing, and production support. You will work closely with product owners and engineering peers in an Agile environment to deliver scalable, high-quality solutions that directly impact clients and advisors. 

This role is ideal for an engineer who values ownership, quality, and delivery, and who enjoys seeing their work progress from idea to production rather than handing code off downstream. 

Responsibilities

• Design, develop, test, deploy, and support Java-based backend services and Angular front-end components. 
• Own features end to end, translating business requirements into technical designs and working code. 
• Build and consume RESTful and SOAP-based APIs using Spring Boot. 
• Apply solid object-oriented design principles, data structures, algorithms, and SOLID principles in daily development. 
• Write clean, testable, and maintainable code supported by automated unit and integration tests using modern testing and mocking frameworks. 
• Collaborate with product owners, business partners, and engineering teammates to clarify requirements and deliver agreed-upon outcomes. 
• Participate actively in Agile/Scrum ceremonies including stand-ups, sprint planning, reviews, and retrospectives. 
• Review and contribute to pull requests, ensuring adherence to engineering standards, quality, and best practices. 
• Troubleshoot issues and provide production support while continuously improving system performance, reliability, and maintainability. 
• Leverage modern development tools such as GitHub and GitHub Copilot to improve development efficiency while maintaining engineering judgment and ownership. 

What you have

Required Qualifications

• Bachelor’s degree in computer science or related field.  
• Over three years or more years of professional experience in developing scalable, user-friendly software, with demonstrated expertise in designing and deploying enterprise applications using Java and Angular. 
• Hands-on experience as a Full Stack Engineer with the ability to own features end to end. 
• Strong experience developing applications using Java and Angular. 
• Experience building and consuming RESTful and SOAP-based services using Spring Boot. 
• Strong understanding of object-oriented design, data structures, algorithms, and SOLID principles. 
• Demonstrated experience writing unit tests and integration tests, including the use of mocking frameworks. 
• Experience with source control and developer tools such as Git, GitHub, and GitHub Actions. 
• Experience working in Agile/Scrum delivery teams. 
• Ability to translate business and functional requirements into effective technical solutions. 
• Strong problem-solving, communication, and collaboration skills. 
• Comfort operating as an individual contributor who takes accountability for quality and delivery. 

Preferred Qualifications

• Experience with databases such as MongoDB, Postgres, and/or Oracle. 
• Exposure to messaging and event-driven platforms such as RabbitMQ and/or Kafka. 
• Familiarity with microservices architecture, micro UI patterns, and 12-factor application design. 
• Experience with CI/CD tools such as GitHub Actions and/or Bamboo. 
• Observability and monitoring experience using tools such as Splunk, AppDynamics, distributed tracing, or Adobe tagging. 
• Prior experience in financial services or other regulated industries. 
• Experience using AI-assisted developer tools (e.g., GitHub Copilot or similar). 
• Curiosity or experience applying AI to improve development productivity, code quality, testing, or diagnostics. 
• Interest in leveraging AI responsibly as a productivity enhancer while maintaining strong engineering ownership and judgment.