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JF
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Charles Schwab Inc.

Senior Manager, Software Development & Engineering

Southlake, TX, United States
Austin, TX, United States

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Job details

Apply by: Nov 13, 2026
Experience: 7+ years of senior engineering leadership experience at the Manager level or equivalent, including leading global teams in hybrid cloud environments.
Posting language: English
Posted: Nov 9, 2026

Original 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).

As a Senior Manager, Software Development & Engineering supporting Portfolio Management Technology, you will set the vision and engineering direction for the Balances, Positions & Inquiry (BPI)and Advanced Credit and Risk (ACAR) platforms while leading a critical transformation of how software is built, delivered, and scaled across the organization. This role sits at the intersection of cloud modernization, enterprise data platforms, and emerging GenAI capabilities, with a mandate to modernize engineering practices and accelerate delivery.

You will drive a shift from traditional development approaches to a modern, AI-enabled software development lifecycle, where automation, intelligent workflows, and agentic AI are embedded across design, development, testing, and operations. Success in this role is measured by your ability to increase delivery capacity, improve quality, and simplify legacy systems without requiring proportional headcount growth.

The BPI platforms power real-time financial data and support credit and risk decisions across Schwab. Together, these platforms provide authoritative balances, positions, realized and unrealized gains and losses, and cost-basis data across Schwab client channels (e.g., Schwab.com, SSC.com, and mobile) and business partners (e.g., brokerage accounts, mutual funds, futures, portfolio margin, and fixed income), serving millions of brokerage accounts. Designed for high availability and continuous performance, the platforms use Aerospike-based distributed data capabilities and cloud-native technologies to meet the demands of a retail brokerage platform among the largest in the country.

Both teams are modernizing their applications through .NET migration and GCP containerization, positioning the domain for greater resilience and scalability. You will partner closely with architecture, product, infrastructure, security, and operations teams to align on scalable solutions and establish clear, opinionated engineering standards that accelerate delivery and reduce fragmentation.

Equally important, you will build and lead high-performing global engineering teams, evolving team structures, expectations, and capabilities to align with AI-driven development. You will foster a culture grounded in accountability, continuous learning, and adaptability, where engineers are empowered to experiment, solve complex problems, and deliver measurable business impact. Through clear communication and strong technical credibility, you will influence senior stakeholders and drive alignment on transformation priorities across the organization.

What you have

Required Qualifications:

7+ years of senior engineering leadership experience at the Manager level or equivalent, including leading global teams in hybrid cloud environments.
Experience developing and supporting Microsoft C# and .NET applications across Linux, Windows, and cloud environments.
Practical experience applying GenAI and AI-assisted development tools within software engineering workflows.
Strong experience designing or operating distributed data platforms using NoSQL and relational database technologies such as Aerospike, SQL Server, and PostgreSQL.
Hands-on experience with hybrid cloud architecture and application modernization, including migrations to platforms such as Google Cloud Platform (GCP), Pivotal Cloud Foundry (PCF), or Red Hat OpenShift.
Experience with enterprise messaging and event-driven technologies such as Kafka and IBM MQ.
Demonstrated success leading large-scale enterprise technology initiatives and delivering measurable business, engineering, or operational outcomes.
Strong foundation in modern software engineering practices, architecture, and delivery models, with the ability to improve quality, scalability, and engineering effectiveness.
Demonstrated ability to lead transformational change while maintaining system stability, quality, and delivery commitments.
Strong problem-solving, decision-making, collaboration, and communication skills, with the ability to translate complex technical concepts into clear direction for technical and business stakeholders.
Bachelors degree or related work experience.

Preferred Qualifications:

Experience transforming engineering organizations from legacy development practices to modern, automated, AI-enabled software delivery approaches.
Systems-thinking capability with experience aligning people, processes, architecture, and platform strategy to achieve scalable outcomes.
Ability to make sound decisions and deliver results in ambiguous, complex, and rapidly changing technology environments.
Demonstrated ability to influence, build trust, and create alignment across engineering, product, architecture, and other cross-functional teams.
Experience developing engineering talent and building a culture of experimentation, continuous learning, adaptability, and improvement.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

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More about this job

Skills

Software development
.NET
Google Cloud
Adaptability
Communication skills
Leadership
C#
Linux
Microsoft Windows
NoSQL
Microsoft SQL Server
PostgreSQL
Red Hat OpenShift
Apache Kafka
Problem solving
Decision making
Collaboration
Systems thinking

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