Senior Full Stack Software Engineer

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Our Opportunity: The Retail Web Technology (RWT) organization leads the development and maintenance of Schwab's premier digital platform for retail clients. Our team is seeking a talented Software Engineer Senior who embraces being a technical leader and has a passion for using state-of the-art web technologies to build compelling web applications.

As a Software Developer Senior, you will be a self-starter who collaborates effectively, mentors teammates, and delivers high-quality code. You will operate in a highly collaborative environment and contribute to building robust, scalable solutions that deliver measurable client value.

What you have

Software Engineering Practices

• Articulate intricate technical architectures, trade-offs, and project risks into digestible, actionable insights for non-technical stakeholders, product managers, and executive leadership
• Align developers directly with product managers, QA, and business stakeholders during backlog refinements and sprint planning sessions to validate needs early and ensure mutual understanding

Core Engineering Skills

• 8+ years of full-stack web development experience
• Strong experience with C#/.NET Core
• Proficiency in JavaScript, HTML, CSS, Angular, and TypeScript
• Experience with SPA architecture and responsive design
• Familiarity with RESTful services and API design
• Knowledge of OAuth2, SAML, JWT authentication frameworks
• Experience with Agile/Scrum delivery models
• Strong debugging, performance tuning, and problem-solving skills
• Experience in designing modular, future-ready applications optimized for [AWS/Azure/GCP], capable of handling growing workloads with minimal technical debt.
• Experience integrating AI/ML into applications (recommendations, automation, personalization)
• Familiarity with Generative AI (LLMs, chat interfaces, summarization)
• Understanding prompt engineering.
• Knowledge of Responsible AI practices (fairness, privacy, transparency)
• Familiarity with telemetry and analytics platforms to drive data insights