Jobs → Engineering → .NET Developer

About the Role We are looking for a .NET Developer to join Charles Schwab. This role involves developing components from design to deployment and ensuring solutions are scalable and maintainable. Key Responsibilities • Own the development of components from design to deployment • Ensure solutions are scalable, maintainable, and aligned with company objectives • Be part of the agile team and provide estimates, status updates in collaboration with Product Manager and the dev team • Prototype and validate technical solutions to meet business requirements • Contribute effectively to coding, design, and architecture reviews • Synchronize deliverables across onshore and offshore teams to ensure successful product releases • Build and maintain robust server-side applications using C# and .NET • Lead the design and development of REST and SOAP-based Web Service APIs in a transaction-heavy environment • Execute on database development for adding new CRUD operations and optimizing query implementation • Utilize TDD/BDD methodologies to achieve high software quality standards • Contribute to performance engineering, CI/CD improvements, and application reliability • Identify and mitigate project risks early through proactive planning • Support Release Managers to improve deployment processes • Collaborate Site Reliability Engineering (SRE) on Chaos Engineering and Observability for your project Requirements • 10+ years of software development experience with a proven track record in enterprise applications • 4+ years of experience in designing and deploying high-scale application systems • Proficient in developing APIs (REST/SOAP) • Expert-level experience in MongoDB Development • Strong development experience in building and deploying applications on cloud native platforms such as Google Cloud Platform, Pivotal Cloud Foundry • Hands-on experience with Authentication and Authorization Solutions • Strong understanding of unit testing, functional testing and integration testing tools • Experience with Splunk/Big Query tools for analysis and debugging