Associate 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).Schwab Technology Services is at the forefront of delivering innovative, reliable technology solutions that transform how clients manage their financial futures.

Within this environment, the BPMT Departmental Pega One (DPO) platform plays a critical role in modernizing enterprise workflows, enabling scalable, secure, and efficient processing across key business functions such as account maintenance, retirement services, and asset servicing.

As an Associate Software Engineer, you will contribute to the modernization of business-critical applications through full stack development, helping drive operational efficiency and improve user experiences. You will partner closely with engineers, product owners, and cross-functional stakeholders in an Agile environment to deliver high-quality, scalable solutions. This role emphasizes hands-on problem solving, where you will analyze workflows, build enhancements, and troubleshoot technical issues to ensure reliable system performance.

You will also play an active role in advancing engineering excellence by participating in code reviews, leveraging AI-assisted development tools such as Git Hub Copilot, and contributing to test automation and continuous improvement efforts. This position offers strong opportunities to build foundational engineering expertise while developing adaptability, collaboration, and innovation skills that directly impact business outcomes.

Key Responsibilities Design, build, test, and maintain software applications across the full stack under the guidance of senior engineers.

Use GenAI tools (for example, Git Hub Copilot, Cursor, Claude Code) to accelerate coding, debugging, and documentation.

Take full ownership of all code changes, including those generated with AI tools.

Review, test, and thoroughly understand every change before it is merged and released to production.

Write clean, maintainable, and well-structured code with or without AI assistance.

AI-Assisted Workflows Create clear prompts, task definitions, and acceptance criteria to effectively direct AI agents on your own work.

Apply spec-driven development practices to translate requirements into structured, AI-ready specifications.

Contribute to AI agent development by helping define agent goals, tool use, and simple task flows under the guidance of senior engineers.

Review and validate AI-generated code for correctness, quality, security, and maintainability.

Apply judgment to accept, modify, or reject AI suggestions based on context and team standards.

Testing and Quality Generate and improve unit, integration, and regression tests using AI-assisted tools.

Ensure test coverage meets team standards before code is merged.

Identify and address security, performance, and reliability concern early in the development cycle.

Modernization Assist in refactoring and modernizing existing codebases using AI-assisted workflows to improve readability, maintainability, and performance.

Help identify technical debt and contribute to AI-accelerated remediation efforts under senior guidance.

Collaboration Participate in architecture discussions, design reviews, and code reviews to learn and contribute to technical direction and quality standards.

Help maintain custom instructions and prompt engineering guidelines that support consistent, effective AI-assisted development across the team.

Continuously improve your AI-enabled engineering practices and share learnings, patterns, and tooling insights with peers.

What you have

Required Qualifications Bachelor’s degree in computer science or a related field0–1+ years of software development experience, including internships or academic projects

Foundational knowledge of Agile methodologies and software development lifecycle (SDLC) practices

Proficiency in object-oriented programming languages such as Java, C++, or C#Basic understanding of web application development using technologies such as Node.js, Angular, or React, and familiarity with SQL or No

SQL databases

Exposure to REST or SOAP-based APIsFamiliarity with version control systems and development tools such as Git Hub and IntelliJStrong problem-solving,…