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's growth is about bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations it's a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future.
We build the Schwab Customer Identifier (SCID) the unified identity layer that resolves the same client across Schwab affiliates and powers a true 360 view of every customer across all lines of business. As a Staff Engineer, you'll set the technical bar for how we build, how we adopt AI in our workflows, and how client-facing capabilities ship.
We're specifically seeking engineers shaped by product-engineering environments Global Capability Centers (GCCs), product companies, or in-house engineering orgs where you owned a system, not a statement of work. The bar is high ownership and accountability: you treat the product as yours, you stay with what you ship, and you're measured by the outcome.
You will:
What You Have
To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.
Required Qualifications
Education: Bachelor's in Engineering, CS, or related field.
AI-Assisted Engineering
Hands-on with GitHub Copilot and/or Claude Code in IDE/CLI workflows.
Working knowledge of agentic and spec-driven development translating low-level design (class structures, API contracts, data models) into structured specs, with custom instructions and prompt engineering to establish team-level practices.
Uses AI for code, tests, reviews, and automation with clear ownership of correctness.
Core Engineering
12+ yrs: Java, Spring, cloud, REST + SOAP web services in high-volume, highly-available environments.
46 yrs: Distributed/NoSQL DBs PostgreSQL preferred, MongoDB, Yugabyte.
4+ yrs: real-time data and streaming.
4+ yrs: continuous build (Bamboo, Bitbucket/Git).
3+ yrs: GCP and/or AWS/Azure.
3+ yrs: event-driven systems (Kafka, RabbitMQ, message queues).
2+ yrs: cloud deployment in a CI/CD model.
1+ yr: batch / data pipelines (Spring Batch, PySpark).
Delivery & Collaboration
Agile + Atlassian stack (JIRA, Confluence).
Drives projects to completion anticipates risks, proposes creative solutions.
Experience working with vendors, offshore teams, and internal stakeholders.
Strong interpersonal, analytical, influencing, and conflict-resolution skills; excellent written and verbal communication.
Preferred Qualifications
In addition to the salary range, this role is also eligible for bonus or incentive opportunities
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