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.
Schwab Technology Services is building the technology that helps create more connected, reliable, and personalized experiences for millions of clients. In this role, you will help build and evolve the Schwab Customer Identifier platform, the unified identity layer that helps resolve the same client across Schwab affiliates and supports a more complete view of each customer across lines of business.
As a Lead Software Engineer, you will provide hands-on technical leadership while remaining close to the code. You will use Java, Systems Engineering, REST APIs, Microservices, Cloud Services Management, DevOps, Data Management, Generative AI, and Stakeholder Management to design scalable solutions, guide architecture decisions, improve engineering quality, and help the team deliver client-facing functionality from scoping through production rollout. This is an opportunity to shape a critical platform, influence modern engineering practices, and contribute to technology that supports Schwab’s client-first mission.
Required Qualifications
• Demonstrated expertise in Java development, including designing, building, and supporting high-volume, highly available enterprise applications
• Ability to provide Technical Leadership by setting direction, guiding architecture decisions, mentoring engineers, and raising engineering standards across delivery teams
• Strong Systems Engineering capability, including designing scalable, resilient, maintainable systems across applications, services, and data flows
• Experience designing and supporting REST APIs, Microservices, and enterprise integration patterns that enable reliable system interoperability
• Experience with Cloud Services Management and cloud-based deployment practices in a CI/CD delivery model
• Demonstrated DevOps mindset, including continuous build, source control, deployment automation, code quality, and production ownership
• Strong Data Management experience with relational or NoSQL databases, data models, data integrity, and real-time or batch data movement
• Ability to use Generative AI or AI-assisted engineering tools responsibly to support code development, testing, review, documentation, and automation while maintaining ownership of quality and correctness
• Strong Stakeholder Management skills, including the ability to partner with product, architecture, vendors, offshore teams, and internal stakeholders to drive delivery outcomes
Preferred Qualifications
• Experience working in product-engineering environments where engineers own systems, outcomes, and production quality
• Experience with PostgreSQL, MongoDB, Yugabyte, event-driven systems, message queues, or streaming platforms
• Experience with GCP, PCF, AWS, Azure, or similar cloud and platform environments
• Experience translating low-level design elements, API contracts, class structures, and data models into structured specifications
• Experience establishing team-level engineering practices for code quality, AI-assisted workflows, automation, test coverage, and delivery consistency
• Ability to influence technical strategy, lead proof-of-concepts, evaluate new technologies, and guide decisions using data, risk, and business impact
Learning Opportunities
In this role, you will continue building depth in enterprise identity platforms, cloud-based engineering, distributed systems, AI-assisted development, and technical leadership. You will have opportunities to expand your expertise in Generative AI, agentic workflows, spec-driven development, platform resiliency, cloud deployment, and enterprise-scale systems design.
You will also deepen your ability to influence architecture, guide engineering standards, partner across teams, and mentor engineers in a complex, high-impact technology environment. The skills evaluated during interviews will include Java, Technical Leadership, Systems Engineering, REST APIs, Microservices, Cloud Services Management, DevOps, Data Management, Generative AI, and Stakeholder Management.
Skill Development Values
At Schwab, we value capability, learning, ownership, and growth. This role is designed for an engineer who wants to continue developing through meaningful work, strong collaboration, mentorship, and opportunities to solve complex business and technology problems. You will be encouraged to challenge assumptions, improve how teams build software, responsibly adopt new tools, and help create reliable solutions that serve clients and support Schwab’s future.
"In addition to the salary range, this role is also eligible for bonus or incentive opportunities."
