Tech Lead_Sr Manager, Software Development & Engineering

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.

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.

What you have

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 Google Cloud Platform, 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."