Senior Full Stack Java Developer

Charles Schwab Inc.•Southlake, TX

1d•$160,000 - $180,000•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 Senior Full Stack Java Developer, you will design, build, and deliver secure, high-performing enterprise applications and services that power critical business capabilities and elevate the client’s experience. You will partner closely with product owners, architects, business partners, and fellow engineers to translate complex business needs into scalable technical solutions—owning your work from analysis and design through implementation, testing, deployment, and production support. In this senior individual contributor role, you will lead end-to-end delivery of features and services, guide technical direction on items of moderate-to-high complexity, decompose narratives into well-scoped work, and champion engineering excellence through clean code, secure coding practices, automated testing, and reliable CI/CD delivery. You will also serve as a technical mentor—leading code reviews, clarifying requirements, explaining end-to-end system flows, and coaching junior engineers—while collaborating with UX experts, delivery managers, and scrum leaders to shape thoughtful designs, providing sizing estimates, identify risks early, and establish mitigation plans. A meaningful part of your work will involve leveraging GenAI coding assistants (such as GitHub Copilot or Claude Code) across the SDLC—implementation, refactoring, unit testing, code reviews, scripting/automation, troubleshooting, and documentation—while applying strong engineering judgment, validation, and prompt engineering practices to accelerate delivery, improve quality, and shape team-level standards for AI-assisted development. Above all, you are a curious, collaborative engineer who thrives in Agile/Scrum environments, adapts quickly to new technologies, and delivers outcomes that meaningfully move the business forward

Requirements

8+ years of hands-on software development experience delivering scalable, enterprise-grade Java applications and services
8+ years of hands-on Front-end design and development experience, preferably using Angular or React.
Bachelor’s degree in computer science, Computer Engineering, or a related field, or equivalent practical experience
8+ years of professional-level Java web and service development experience with Java/Spring and Spring Boot
6+ years of experience developing Microservices and REST APIs, with working knowledge of messaging frameworks such as Kafka
6+ years of professional-level front-end experience with HTML, JSP, NPM/webpack build tooling, and Angular
5+ years of experience with CI/CD tools such as Bitbucket, Bamboo, Jenkins, or GitHub, applied to build, test, and deployment automation
5+ years of experience participating as a member of a scrum team in an Agile environment, contributing to sprint planning, refinement, reviews, retrospectives, and PI planning
4+ years of experience leading technical teams and partnering with architects and product teams to create comprehensive designs and roadmaps for complex systems
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
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, with the ability to establish team-level practices for effective AI-assisted development
Strong grasp of secure coding practices and familiarity with application security concepts and tools
Ability to effectively communicate technical concepts to both technical and non-technical audiences, and to build partnerships across multiple functions and levels within an organization

Nice To Haves

Experience with cloud-native application development and containerization technologies such as Docker and Kubernetes.
Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Playwright) and agentic development patterns to improve engineering efficiency and software delivery.
Hands-on experience with application performance engineering, observability, monitoring, and troubleshooting using tools such as AppDynamics, Splunk, Grafana, or PCF Metrics.
Familiarity with modern software engineering practices, including Test-Driven Development (TDD) and Behavior-Driven Development (BDD), and related automation frameworks such as Cucumber and Selenium.
Google Cloud Platform (GCP) certification or equivalent cloud certification preferred.

Responsibilities

Design, build, and deliver secure, high-performing enterprise applications and services.
Partner closely with product owners, architects, business partners, and fellow engineers to translate complex business needs into scalable technical solutions.
Own work from analysis and design through implementation, testing, deployment, and production support.
Lead end-to-end delivery of features and services.
Guide technical direction on items of moderate-to-high complexity.
Decompose narratives into well-scoped work.
Champion engineering excellence through clean code, secure coding practices, automated testing, and reliable CI/CD delivery.
Serve as a technical mentor, leading code reviews, clarifying requirements, explaining end-to-end system flows, and coaching junior engineers.
Collaborate with UX experts, delivery managers, and scrum leaders to shape thoughtful designs.
Provide sizing estimates, identify risks early, and establish mitigation plans.
Leverage GenAI coding assistants across the SDLC (implementation, refactoring, unit testing, code reviews, scripting/automation, troubleshooting, and documentation).
Apply strong engineering judgment, validation, and prompt engineering practices to accelerate delivery, improve quality, and shape team-level standards for AI-assisted development.
Thrive in Agile/Scrum environments.
Adapt quickly to new technologies.
Deliver outcomes that meaningfully move the business forward.