Software Developer Lead

Charles Schwab Inc.•Austin, TX

4d•$180,000 - $200,000•Onsite

About The Position

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 Software Development & Engineering Lead, you will operate at the intersection of engineering execution and architecture, serving as a technical multiplier across teams. In this role, you will guide engineering leads and influence design decisions to ensure scalable, well-architected, and future-ready systems that power Advisor Services Technology solutions. You will proactively identify risks, shape solutions through proof-of-concepts, and drive modernization efforts across distributed systems, APIs, and cloud-native platforms. You will partner closely with business and technology stakeholders to deliver high-impact, full-stack solutions using modern frameworks and tools, while enabling AI-driven capabilities that improve system performance, decisioning, and user outcomes. Your ability to translate complex problems into practical, high-quality solutions will directly influence delivery timelines, technical direction, and overall engineering effectiveness. Success in this role requires strong ownership, adaptability, and collaboration. You will establish and elevate engineering best practices across CI/CD, testing, observability, and deployment, while mentoring engineers and fostering a culture of continuous improvement. By influencing without authority, you will align cross-functional teams, refine development processes, and drive measurable outcomes that enhance scalability, reliability, and innovation across the organization.

Requirements

Bachelor’s degree in Computer Science or a related field
8+ years of experience developing scalable enterprise software systems
6+ years of experience working with databases such as SQL Server, Oracle, or MongoDB
5+ years of experience as a senior or lead engineer contributing to architecture and design decisions
Experience designing and developing distributed systems
3+ years of experience building AI/ML or LLM-driven applications
Experience developing data pipelines for large-scale datasets
3+ years of experience with containerization and cloud-native architectures
3+ years of experience working in Agile/Scrum environments
2+ years of experience working in SAFe or multi-team delivery models
Proficiency in full-stack development including Angular or React, and backend technologies such as C#, .NET, or ASP.NET
Experience developing and integrating APIs and messaging frameworks such as REST, GraphQL, and RabbitMQ
Experience implementing CI/CD pipelines using tools such as GitHub, Bamboo, or Bitbucket
Strong communication, mentoring, and cross-functional influencing skills

Nice To Haves

Master’s degree in Computer Science or a related field
Experience working with LLM platforms such as OpenAI, Gemini, or Claude
Experience developing evaluation frameworks for AI model outputs
Experience working with cloud platforms such as AWS, Azure, or GCP
Experience using observability tools such as Grafana, Datadog, or Splunk

Responsibilities

Operate at the intersection of engineering execution and architecture, serving as a technical multiplier across teams.
Guide engineering leads and influence design decisions to ensure scalable, well-architected, and future-ready systems.
Proactively identify risks, shape solutions through proof-of-concepts, and drive modernization efforts across distributed systems, APIs, and cloud-native platforms.
Partner closely with business and technology stakeholders to deliver high-impact, full-stack solutions using modern frameworks and tools.
Enable AI-driven capabilities that improve system performance, decisioning, and user outcomes.
Translate complex problems into practical, high-quality solutions.
Establish and elevate engineering best practices across CI/CD, testing, observability, and deployment.
Mentor engineers and foster a culture of continuous improvement.
Align cross-functional teams, refine development processes, and drive measurable outcomes that enhance scalability, reliability, and innovation.