Tech Lead_Sr Manager, Software Development & Engineering

Charles Schwab Corporation
Southlake, TX, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Systems Engineering Cloud Computing Software Quality Continuous Integration Data Integrity Extract Transform Load (ETL) DevOps NoSQL Cloud Services Software Engineering
+9 more
Data Streaming Enterprise Application Integration Generative AI Deployment Automation Data Management Software Coding Restful APIs Software Version Control Microservices

Job description

Experteer Overview As Lead Software Engineer at Schwab Technology Services, you will shape the Schwab Customer Identifier platform, building a scalable identity layer across affiliates. You will lead technical direction while staying close to code, leveraging Java, REST APIs, microservices, cloud, DevOps, and AI-assisted tooling to deliver client-facing capabilities. You’ll collaborate with product and architecture teams to elevate engineering standards and production quality. This role offers impact on a mission to provide a unified client view and reliable experiences at scale. Compensation / Benefits * Provide hands-on technical leadership and mentor engineers * Design scalable, resilient systems across applications, services, and data flows * Guide architecture decisions and engineering quality improvements * Develop and support REST APIs and microservices for reliable interoperability * Champion cloud deployment, CI/CD, and production ownership * Leverage Data Management practices for real-time and batch data movement * Apply Generative AI responsibly to support code development, testing, and automation * Collaborate with product, architecture, and vendors to drive delivery outcomes Tasks * Java development expertise for high-volume, highly available enterprise apps * Technical leadership, guiding architecture decisions and mentoring engineers * Strong systems engineering capability for scalable, maintainable data flows * Experience with REST APIs, microservices, and enterprise integration patterns * Cloud services management and CI/CD delivery experience * DevOps mindset across build, source control, deployment automation, code quality * Data management experience with relational or NoSQL databases and data integrity * Ability to use Generative AI tools while owning quality and correctness * Stakeholder management across product, architecture, vendors, offshore teams Key requirements * bonus or incentive opportunities

Requirements

Experteer Overview As Lead Software Engineer at Schwab Technology Services, you will shape the Schwab Customer Identifier platform, building a scalable identity layer across affiliates. You will lead technical direction while staying close to code, leveraging Java, REST APIs, microservices, cloud, DevOps, and AI-assisted tooling to deliver client-facing capabilities. You’ll collaborate with product and architecture teams to elevate engineering standards and production quality. This role offers impact on a mission to provide a unified client view and reliable experiences at scale. Compensation / Benefits * Provide hands-on technical leadership and mentor engineers * Design scalable, resilient systems across applications, services, and data flows * Guide architecture decisions and engineering quality improvements * Develop and support REST APIs and microservices for reliable interoperability * Champion cloud deployment, CI/CD, and production ownership * Leverage Data Management aaaaa data for real-time and batch data movement * Apply Generative AI responsibly to support code development, testing, and automation * Collaborate with product, architecture, and vendors to drive delivery outcomes Tasks * Java development expertise for high-volume, highly available enterprise apps * Technical leadership, guiding architecture decisions and mentoring engineers * Strong systems engineering capability for scalable, maintainable data flows * Experience with REST APIs, microservices, and enterprise integration patterns * Cloud services management and CI/CD delivery experience * DevOps mindset across build, source control, deployment automation, code quality * Data management experience with relational or NoSQL databases and data integrity * Ability to use Generative AI tools while owning quality and correctness * Stakeholder management across product, architecture, vendors, offshore teams Key requirements * bonus or incentive opportunities

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