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Lead Software Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Charles Schwab
Full Time position
Listed on 2026-02-21
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Your opportunity

At Schwab, you are 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). This role is expected to be in the office 4 days a week.

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.

As part of Schwab's AI Engineering & Operations team, you will be building the next generation Generative AI solutions that shape the future of technology  this role, you will contribute to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences. You’ll collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals.

We’re seeking a Lead Software Engineer who will design and deliver production-grade GenAI applications, enhancing the client journey and driving tangible business value. You’ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab’s strategic goals, and mentor junior team members—cultivating best engineering practices and a culture of continuous learning.

In this pivotal role, you’ll not only advance technical standards and solve complex challenges but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You’ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.

What

You Will Do
  • Design, build, and deliver GenAI applications that elevate client experience and generate positive business impact.
  • Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.
  • Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.
  • Provide leadership by mentoring and coaching junior engineers, fostering strong practices, accountability, and continuous learning.
  • Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.
  • Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.
  • 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.
Required Qualifications
  • 10+ years of software development experience, with 4+ years as a hands-on senior engineer
  • 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.
  • Demonstrated ability to influence and execute through others, deliver balanced and actionable feedback, and manage multiple priorities
  • Bachelor’s degree in Computer Science or related field.
Preferred Qualifications
  • Strong computer science fundamentals and experience across the tech stack.
  • Commitment to quality – driving high standards including writing tests at all levels.
  • Strong written and verbal communication skills to clearly convey ideas and feedback.
  • Strong emotional intelligence, maturity, and executive presence, inspiring confidence and creating followership at all organizational levels.
  • Mentoring junior engineers…
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