Full Stack Java Developer

Charles Schwab Inc.•Southlake, TX

1d•$145,000 - $160,000•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). Schwab Technology Services is at the forefront of delivering innovative, reliable technology that enables clients to manage their financial futures. In this role, you will drive the modernization of legacy ePresentment and ETools platforms into scalable, cloud-ready CMOD capabilities and intuitive portal experiences. You will design and deliver full stack solutions that power high-volume, business-critical systems, collaborating closely with engineers, architects, product owners, and UX partners to solve complex technical challenges and deliver measurable outcomes. You will play a key leadership role in shaping engineering practices, guiding design decisions, leading code reviews, mentoring team members, and establishing high standards for quality and performance. Leveraging modern development approaches including DevOps, Site Reliability Engineering, and AI-assisted workflows, you will optimize development velocity while maintaining stability and security. Your work will directly influence system scalability, reliability, and user experience, while enabling your team to adapt quickly to evolving business needs and deliver meaningful value to clients. Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected. This is an opportunity to apply deep technical expertise while continuously expanding your skills in modern engineering practices, including agentic development, cloud-native architectures, and AI-assisted software delivery, all within a highly collaborative and outcomes-driven environment.

Requirements

Bachelor’s degree in computer engineering, Computer Science, or related field, or equivalent practical experience
5+ years of experience in enterprise software development with strong full stack expertise
Experience leveraging AI and automation in development workflows
Advanced proficiency in Java development, Python scripting, and Bash/Shell scripting in Linux environments
4+ years of experience building single-page applications using Angular (v14+)
Experience designing and developing RESTful APIs using Spring Boot
Experience deploying applications on WebSphere Liberty/Open Liberty
Strong experience in Linux environments (RHEL preferred)
Experience with enterprise-scale storage solutions and document systems
Experience with CI/CD tools such as GitHub, Jenkins, Bitbucket, or Bamboo
Experience using AI-assisted coding tools (e.g., GitHub Copilot)
Knowledge of agentic workflows and prompt engineering
Strong problem-solving skills in agile environments
Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering.

Nice To Haves

7+ years of experience in enterprise full stack engineering
Experience leading development teams and mentoring engineers
Strong analytical and prioritization skills
Experience collaborating across product, UX, and business teams
Strong communication and influencing skills
Experience driving quality, performance, and continuous improvement initiatives
Experience with test-driven development and automated testing frameworks
Ability to anticipate risks and adapt in fast-paced environments

Responsibilities

Drive the modernization of legacy ePresentment and ETools platforms into scalable, cloud-ready CMOD capabilities and intuitive portal experiences.
Design and deliver full stack solutions that power high-volume, business-critical systems.
Collaborate closely with engineers, architects, product owners, and UX partners to solve complex technical challenges and deliver measurable outcomes.
Shape engineering practices, guide design decisions, lead code reviews, and mentor team members.
Establish high standards for quality and performance.
Leverage modern development approaches including DevOps, Site Reliability Engineering, and AI-assisted workflows to optimize development velocity while maintaining stability and security.
Influence system scalability, reliability, and user experience.
Enable the team to adapt quickly to evolving business needs and deliver meaningful value to clients.
Use AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
Apply GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
Establish team-level practices for effective AI-assisted development.