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# Manager, Software Development & Engineering

- **Company:** TD Ameritrade
- **Location:** Austin, TX, United States
- **Salary:** $112,300.0 - $150,100.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Windows, Agile Methodology, Artificial Intelligence, Automation of Tests, C Sharp (Programming Language), Cloud Engineering, Databases, Continuous Integration, Memory Management, Github, Windows Communication Foundation, MongoDB, Oracle (Applications), Software Engineering, Software Systems, SQL Databases, Systems Integration, Aerospike, Multithreading, Software Security, Software Application Programming, SOAPAPI, Generative AI, Backend, Agentic-AI, Information Technology, Restful APIs, Web Api
- **Published:** October 21, 2026
- **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network

## About the Role

* BS or MS in computer science or related technical field
 * 8+ years of experience successfully developing applications for Windows platforms using C# .Net.
 * 5+ years working with Web API, REST Services, WCF or SOAP Services
 * 4+ years of experience in database principles, such as SQL, Oracle, Aerospike or Mongo DB
 * 2+ years leading projects with moderate complexity, including architecture decisions, technical direction, and mentoring team members.
 * 1+ years of experience developing, integrating, or operationalizing AI/ML-powered applications, Generative AI solutions, or intelligent automation capabilities.
 * Strong .NET & C# expertise on backend services with multithreading and memory management.
 * Very strong experience with object-oriented programming concepts, design patterns, development, implementation including algorithms and data structures, and current expereince working with Schwab systems and processes

Preferred Qualifications

 * Preferred knowledge and experience with trading Credit and Risk checks.
 * Preferred knowledge and experience with Options Pairing and requirement calculations for Complex Options Strategies.
 * Preferred knowledge and experience with balance calculations for Portfolio Margin, Futures and Brokerage accounts including open orders.
 * Experience developing AI-powered copilots, virtual assistants, agentic workflows, or intelligent decision-support systems.
 * Experience leveraging AI to improve software engineering productivity, test automation, incident management, release processes, or operational support.
 * Experience resolving code smells, vulnerabilities, and application security flaws.
 * A yearning to understand and leverage new tools and technologies.
 * Ability and interest in coaching and mentoring peers and junior staff.
 * Strong written and verbal communications, teamwork, and problem-solving skills.
 * Ability to interact and communicate successfully with business partners and technology teams.
 * Experience supporting releases and applications in production.
 * Self-motivated with a passion for resolving technical problems quickly and in line with platform strategy and vision.
 * Ability to conceptualize the best tactical approach for a team to deliver a solution.
 * Ability to effectively communicate complex software solutions to both technical and nontechnical audiences.
 * Professional experience with source code repositories tools, GitHub
 * Professional experience with CI/CD pipelines.
 * Professional experience with Agile methodology.

## Description

* Lead development efforts for moderately complex initiatives, providing technical direction and mentorship to junior engineers, while driving cloud modernization, resiliency, and GCP-based initiatives aligned with 2026 AOP goals.
 * Design and develop highly scalable, resilient backend services using efficient algorithms, while leveraging AI-assisted development tools to improve code quality, consistency, and developer productivity.
 * Incorporate AI and automation across the SDLC, including:
 + AI-assisted requirements analysis and impact assessment
 + Intelligent code generation, refactoring, and documentation support
 + Automated test generation and defect detection
 + AI-driven monitoring and operational insights
 * Collaborate in requirements analysis, solution design, and scoping discussions, applying data-driven and AI-informed approaches to assess complexity, risks, and implementation options.
 * Drive platform modernization efforts, including cloud-native patterns, service resiliency, observability, CI/CD improvements, and responsible integration of AI capabilities into existing services and workflows.