Lead Software Engineer
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 enables the future of how clients manage their money by delivering innovative, secure, and reliable technology solutions that support investing and financial planning experiences. As a Senior Software Engineering Leader, you will help drive the evolution of critical client verification and fraud prevention platforms that protect clients and support business growth. This role combines technical leadership with hands-on engineering, allowing you to influence architecture, scalability, resiliency, and engineering excellence across high-visibility initiatives. You will collaborate closely with product, business, architecture, security, and technology partners to solve complex problems, deliver meaningful outcomes, and accelerate innovation through modern software development and AI-enabled engineering practices. Success in this role requires strong technical leadership, adaptability, collaboration, and a passion for developing talent while fostering a culture of accountability, continuous improvement, and operational excellence.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 8+ years of progressive software engineering experience, including technical leadership of complex enterprise initiatives.
- Proven experience leading software engineering teams delivering large-scale, highly available distributed systems.
- Strong hands-on experience with Java, Spring Boot, RESTful APIs, microservices, and event-driven architectures.
- Ability to lead teams in adopting AI-native development practices throughout the entire product development cycle.
- Demonstrated experience applying AI tools (such as Github Copilot) and agentic workflows to modern software engineering practices, with the ability to guide teams in using AI responsibly to improve delivery speed, quality, reliability, and productivity and efficiency from inception to delivery.
- Deep expertise with Apache Kafka and distributed systems concepts including scalability, resiliency, fault tolerance, consistency, asynchronous processing, and performance optimization.
- Experience with SQL and NoSQL databases, data modeling, query optimization, transaction management, and performance tuning.
- Experience with GitHub, GitHub Actions, automated testing, CI/CD pipelines, and software delivery automation.
- Experience deploying and supporting applications in Pivotal Cloud Foundry (PCF) environments.
- Demonstrated ability to translate business requirements into scalable technical solutions and delivery plans.
- Experience driving architecture decisions while balancing security, maintainability, performance, scalability, and enterprise standards.
- Strong understanding of software design patterns, API lifecycle management, integration patterns, and object-oriented design.
- Experience establishing engineering standards through code reviews, design reviews, automation, and quality controls.
- Proven experience troubleshooting complex production issues and leading root-cause analysis and incident response efforts.
- Strong communication, collaboration, mentoring, and stakeholder management skills.
Nice To Haves
- Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience building secure, high-volume platforms within financial services, fraud prevention, identity verification, or other highly regulated industries.
- Experience with AI agent frameworks such as LangChain, AutoGen, or CrewAI.
- Experience with AI evaluation frameworks, benchmarking, and model validation.
- Experience modernizing legacy applications through automation and AI-driven approaches.
- Experience designing cloud-native applications using Kubernetes, containers, or public cloud technologies.
Responsibilities
- Help drive the evolution of critical client verification and fraud prevention platforms.
- Influence architecture, scalability, resiliency, and engineering excellence across high-visibility initiatives.
- Collaborate closely with product, business, architecture, security, and technology partners to solve complex problems.
- Deliver meaningful outcomes and accelerate innovation through modern software development and AI-enabled engineering practices.
- Lead teams in adopting AI-native development practices throughout the entire product development cycle.
- Guide teams in using AI responsibly to improve delivery speed, quality, reliability, and productivity and efficiency from inception to delivery.
- Translate business requirements into scalable technical solutions and delivery plans.
- Drive architecture decisions while balancing security, maintainability, performance, scalability, and enterprise standards.
- Establish engineering standards through code reviews, design reviews, automation, and quality controls.
- Troubleshoot complex production issues and lead root-cause analysis and incident response efforts.
- Mentor and manage stakeholders.
Benefits
- Bonus or incentive opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
