Java Developer

Charles Schwab Corporation; Lone Tree (CO); On-site; USD 110,000 - 150,000; Full time

Job summary

Charles Schwab Corporation in Lone Tree, Colorado is seeking a Java Developer to support the Enterprise Security Master (ESM) platform, a source of record for securities reference and pricing data across the firm. You will design, build, test, and support highly available distributed systems using modern engineering practices.

You will work closely with product owners and engineering teams, apply AI-assisted development tools, analyze production issues, and help ensure security, reliability, and

Qualifications

• 3+ years of Java development in enterprise environments.
• Hands-on experience with AI-assisted development tools throughout the SDLC.
• Experience with distributed systems and cloud-based design principles.
• Familiarity with CI/CD, testing, and secure coding practices.
• Strong communication and collaboration across functions.

Responsibilities

• Design, build, test, and support scalable distributed systems.
• Collaborate with product owners and engineering teams to translate requirements.
• Analyze production issues and contribute to reliability and performance.
• Evaluate AI-generated outputs for quality and security.

Skills

Java

AI tools

Distributed systems

CI/CD

Secure coding

Cloud design

Testing & QA

Cross-functional

Security concepts

Problem solving

Tools

GitHub Copilot

Claude Code

Job description

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).

As a Java Developer supporting the Enterprise Security Master (ESM) platform, you will help power one of Schwab's mission-critical applications that serves as the source of record for securities reference and pricing data across the firm. ESM processes and distributes high-volume asset data that supports downstream applications responsible for servicing clients and managing financial products.

In this role, you will leverage modern software engineering practices and AI-assisted development tools to design, build, test, and support highly available, scalable distributed systems. Working closely with product owners, business stakeholders, and engineering teams, you will translate complex business requirements into secure, reliable software solutions that improve operational efficiency and business outcomes. You will play a key role in analyzing and resolving production issues, enhancing platform capabilities, and ensuring system reliability through robust testing, monitoring, and deployment practices.

Success in this role requires strong problem-solving skills, sound engineering judgment, and the ability to evaluate and validate AI-generated outputs while maintaining high standards for quality, security, and performance. You will contribute to the evolution of AI-assisted software development practices, champion innovation, and collaborate across teams to deliver solutions that support Schwab's growing technology ecosystem. This is an opportunity to influence the future of software engineering by combining technical expertise, distributed systems knowledge, and emerging agentic AI capabilities to drive meaningful business impact.

What you have

Required Qualifications

• 3+ years of experience in Java development, software engineering, or application support within enterprise environments.
• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies throughout the software development lifecycle.
• Experience designing, building, testing, and supporting software applications using modern engineering best practices.
• Working knowledge of distributed systems, scalable application architectures, and cloud-based design principles.
• Experience troubleshooting and resolving technical issues within production environments.
• Understanding of software quality practices including unit testing, regression testing, test automation, and validation methodologies.
• Knowledge of CI/CD practices, release management, and deployment automation.
• Experience collaborating with cross-functional teams to gather requirements and deliver business-focused technology solutions.
• Understanding of application security principles, compliance requirements, and secure coding practices.
• Strong analytical, problem-solving, and communication skills with the ability to translate technical concepts to diverse audiences.

Preferred Qualifications

• Experience developing or supporting large-scale financial services, securities, market data, or enterprise data management platforms.
• Familiarity with agentic AI workflows, prompt engineering, custom instructions, and AI-enabled automation.
• Experience building or supporting real-time data processing, data integration, or data pipeline solutions.
• Demonstrated ability to perform root-cause analysis and drive resolution of complex technical challenges.
• Experience mentoring team members and promoting engineering best practices.
• Knowledge of monitoring, observability, and operational support frameworks.
• Ability to evaluate business needs, identify improvement opportunities, and recommend innovative solutions.
• Strong written and verbal communication skills with the ability to influence peers and stakeholders.
• Demonstrated adaptability, continuous learning mindset, and passion for emerging technologies.
• Experience working in Agile software development environments.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.