Senior .NET Software Engineer

Charles Schwab Inc.•Southlake, TX

2d•$150,000 - $177,000•Onsite

About The Position

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). As a .NET Senior Software Engineer, you’ll design and deliver software solutions that strengthen application quality, resiliency, performance, and maintainability across the application portfolio. You’ll apply deep .NET development expertise, problem solving, and modern engineering practices to identify and address software defects, technical debt, performance bottlenecks, and reliability risks. You’ll collaborate with developers, technical leads, and architects to implement engineering standards and modernization initiatives while delivering business and non-functional enhancements that improve operational outcomes. You’ll also help advance AI-enabled software engineering by applying AI-assisted development, automated code analysis, and delivery automation thoughtfully, using sound technical judgment to determine where these capabilities can improve software quality and developer productivity.

Requirements

8+ years of software engineering experience designing, developing, testing, and supporting enterprise applications
Strong hands-on .Net development experience and demonstrated ability to apply modern Software Development practices to build maintainable solutions
Experience building scalable, reliable software solutions in distributed or cloud-based environments
Demonstrated Problem Solving skills identifying and resolving software defects, technical debt, performance bottlenecks, and reliability risks
Knowledge of DevOps, automated testing, source control, observability, and Software Development Life Cycle (SDLC) practices
Ability to apply Generative AI or other AI-enabled development tools and automated code analysis to improve software quality and developer productivity
Experience applying Generative AI through AI-assisted development tools, automated code analysis, or agent-based workflows to improve engineering outcomes
Practical understanding of the strengths and limitations of AI and large language model technologies when applied to software development
Ability to deliver non-functional and business-driven enhancements while applying Agile Fundamentals in a collaborative engineering environment

Nice To Haves

Experience with application modernization, technical debt reduction, resiliency engineering, or performance optimization
Experience developing cloud-native, distributed, or event-driven applications
Demonstrated Influencing Others skills to help advance engineering standards, development practices, and technical outcomes across teams
Experience contributing to scalable software delivery frameworks and evolving AI-enabled engineering capabilities

Responsibilities

Design and deliver software solutions that strengthen application quality, resiliency, performance, and maintainability across the application portfolio.
Apply deep .NET development expertise, problem solving, and modern engineering practices to identify and address software defects, technical debt, performance bottlenecks, and reliability risks.
Collaborate with developers, technical leads, and architects to implement engineering standards and modernization initiatives.
Deliver business and non-functional enhancements that improve operational outcomes.
Help advance AI-enabled software engineering by applying AI-assisted development, automated code analysis, and delivery automation thoughtfully.
Use sound technical judgment to determine where AI capabilities can improve software quality and developer productivity.