Senior Java Engineer — GenAI-Driven Onsite Leader

Charles Schwab; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time for vacation

Sabbatical after 5 years of service

Paid parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab in Austin, TX is seeking a Sr. Specialist – Software Development and Engineering to design, develop, and evolve scalable tech solutions for high-volume, highly available environments.

You will translate complex requirements into architecture and applications in collaboration with technical and business stakeholders, aiming to modernize systems and improve performance. The role emphasizes end-to-end development, deployment pipelines, automated testing, and reliability.

Qualifications

• 3+ years of Java/Spring experience in high-volume environments.
• Experience with cloud platforms (AWS, GCP).
• Experience with CI/CD and automated testing.
• Experience with AI-assisted development is a plus.

Responsibilities

• Design and evolve scalable tech solutions for high-volume, highly available environments.
• Collaborate with stakeholders to translate requirements into architecture and apps.
• Improve deployment pipelines and automated testing; strengthen system reliability.
• Mentor team members and promote AI-assisted development practices.

Skills

Java

Spring framework

Cloud development

RESTful services

ETL processes

CI/CD tools

AI-assisted development

Tools

GitHub Copilot

Claude Code

Job description

Charles Schwab in Austin, TX is seeking a Sr. Specialist – Software Development and Engineering to design, develop, and evolve scalable tech solutions for high-volume, highly available environments.

You will translate complex requirements into architecture and applications in collaboration with technical and business stakeholders, aiming to modernize systems and improve performance. The role emphasizes end-to-end development, deployment pipelines, automated testing, and reliability.