Schwab is looking to build the next generation Generative AI solutions that shape the future of technology at Schwab, and drive data-informed business decisions and elevate client experiences.
Requirements
- 5+ years building complex products from scratch, nurturing them in production, and ensuring operational reliability.
- 3+ years developing applications and data pipelines interfacing with large datasets.
- 5+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.
- Strong computer science fundamentals and experience across the tech stack.
- Commitment to quality—driving high standards including writing tests at all levels.
- Experience with Python, Java, and front-end development preferred but not required.
- Ability to solve complex problems with ambiguous or incomplete data in distributed systems.
Responsibilities
- Provide leadership by mentoring and coaching engineers, fostering strong practices, accountability, and continuous learning.
- Lead the team in solving complex technical challenges and driving rapid iteration from concept to deployment.
- Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.
- Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.
- Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.
- Advance engineering standards, focusing on operational excellence and quality across all deliverables.
- Exhibit strategic vision, initiative, and adaptability while navigating complex situations and driving organizational alignment.
Other
- 5+ years direct people leadership experience with a proven ability to cultivate talent and build a collaborative team environment, preferably in a large, complex, and geographically dispersed organization
- Bachelor’s degree in Computer Science or related field.
- Demonstrated ability to influence and execute through others, deliver balanced and actionable feedback, and manage multiple priorities.
- Strong people management skills, including hiring, mentoring, performance management and career development.
- Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
