Job description

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(s). Schwab Technology Services enables the future of how clients manage their money through innovative and reliable technology products and services. As a Senior Manager, Software Development and Engineering within the thinkorswim Service Availability Engineering (SAvE) team, you will design and deliver scalable, production-grade artificial intelligence solutions that improve client experiences and support data-informed business decisions. You will use analytical thinking and problem-solving skills to build Python-based data pipelines, integrations, and cloud solutions that connect enterprise applications with Generative AI and large language model capabilities. In collaboration with architects, engineers, data scientists, and business partners, you will translate complex needs into secure, reliable systems. Your technical leadership will strengthen testing, monitoring, observability, and operational practices while developing others through mentorship and knowledge sharing. Your work will help move emerging AI concepts into production and deliver consistent business and client value. What you have Required Qualifications • Bachelor’s degree in computer science, data engineering, engineering, mathematics, analytics, or a related field, or equivalent work experience. • 8+ years of software engineering, data engineering, or related experience, including delivering enterprise-scale solutions. • Advanced Python development experience focused on data processing, system integrations, and pipeline development. • Experience designing, developing, and supporting trading applications in cloud environments. • Hands-on experience with Google Cloud Platform services such as Cloud Run, Google Cloud Storage, Dataflow, or comparable cloud-native technologies. • Experience integrating APIs, distributed systems, and enterprise applications. • Demonstrated Data Accuracy Management skills, including implementing validation, quality controls, and practices that protect data integrity throughout its lifecycle. • Strong Problem Solving and Technical Troubleshooting skills, including debugging complex production issues, conducting root cause analysis, and implementing corrective actions. • Experience developing automated testing strategies, creating test data, validating outputs, and using modern source-control practices. Preferred Qualifications • Experience integrating Generative AI and large language model capabilities into enterprise applications. • Experience working with vendor-provided AI platforms and cloud-based AI services. • Understanding of AI application architecture, including data preparation, testing, deployment, monitoring, and operational support. • Experience developing scalable data platforms that support AI-enabled products and services. • Demonstrated Cloud Services Management and DevOps skills used to build observable, resilient, and highly available production systems. • Strong Cross-Functional Collaboration skills, with the ability to align technical solutions with business and client outcomes. • Demonstrated Adaptability when managing changing priorities, emerging technologies, and interconnected systems. • Experience Developing Others through mentoring, knowledge sharing, and the promotion of software quality and engineering best practices. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions • Paid parental leave and family building benefits • Tuition reimbursement • Health, dental, and vision insurance

Requirements

Must-haves

Your opportunity
What you have
Bachelor’s degree in computer science, data engineering, engineering, mathematics, analytics, or a related field, or equivalent work experience.
8+ years of software engineering, data engineering, or related experience, including delivering enterprise-scale solutions.
Advanced Python development experience focused on data processing, system integrations, and pipeline development.
Experience designing, developing, and supporting trading applications in cloud environments.
Hands-on experience with Google Cloud Platform services such as Cloud Run, Google Cloud Storage, Dataflow, or comparable cloud-native technologies.
Experience integrating APIs, distributed systems, and enterprise applications.
Demonstrated Data Accuracy Management skills, including implementing validation, quality controls, and practices that protect data integrity throughout its lifecycle.
Strong Problem Solving and Technical Troubleshooting skills, including debugging complex production issues, conducting root cause analysis, and implementing corrective actions.
Experience developing automated testing strategies, creating test data, validating outputs, and using modern source-control practices.
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions

Nice-to-haves

Experience integrating Generative AI and large language model capabilities into enterprise applications.
Experience working with vendor-provided AI platforms and cloud-based AI services.
Understanding of AI application architecture, including data preparation, testing, deployment, monitoring, and operational support.
Experience developing scalable data platforms that support AI-enabled products and services.
Demonstrated Cloud Services Management and DevOps skills used to build observable, resilient, and highly available production systems.
Strong Cross-Functional Collaboration skills, with the ability to align technical solutions with business and client outcomes.
Demonstrated Adaptability when managing changing priorities, emerging technologies, and interconnected systems.
Experience Developing Others through mentoring, knowledge sharing, and the promotion of software quality and engineering best practices.
What’s in it for you
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
Tuition reimbursement

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave