Hiring.Camp

Software Developer in Test

Career Schwab

·

Yesterday

Location
Austin, TX, US
Type
Full-time
Department
Engineering
Experience
7+ years
Closing date
Today
Source
iCIMS

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.

 

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

 

About the Team

The Retail Web Technology (RWT) organization is responsible for developing and enhancing Schwab's Trade Watchlist and Quick Quote experiences for retail investors. Our mission is to deliver reliable, scalable, and intuitive digital solutions that enable clients to make informed investment decisions with confidence.

We embrace modern engineering practices, automation, AI-enabled innovation, and continuous improvement to solve complex business challenges. At RWT, engineers work collaboratively across product, architecture, and development teams to deliver exceptional client experiences while driving technical excellence and operational reliability.

 

About the Role

We are seeking an experienced Software Development Engineer in Test (SDET) to join our engineering team. This role combines strong software engineering skills with modern quality engineering practices to ensure the delivery of resilient, scalable, secure, and client-centric solutions.

As an SDET, you will design, develop, and maintain automation frameworks, quality engineering tools, test infrastructure, and continuous validation capabilities that enable rapid and reliable software delivery. You will partner closely with software engineers, product owners, business analysts, architects, and platform teams to embed quality throughout the software development lifecycle.

Beyond traditional test automation, you will drive quality strategy, improve engineering productivity, leverage AI-assisted development practices, and strengthen operational excellence through observability, reliability engineering, and continuous improvement initiatives.

This role is ideal for engineers who enjoy solving complex technical challenges, building scalable automation solutions, influencing engineering practices, and delivering high-quality software from concept through production.

 

Responsibilities

  • Design, develop, and maintain scalable automation frameworks and reusable test libraries supporting web applications, APIs, microservices, and distributed systems.
  • Build automated validation solutions for functional, integration, regression, end-to-end, accessibility, and cross-browser testing.
  • Develop and execute comprehensive test strategies aligned to business workflows, application architecture, integration points, and system dependencies.
  • Drive shift-left quality practices by partnering with engineering teams during requirements, design, and development phases.
  • Implement risk-based testing approaches to improve coverage, efficiency, and release confidence.
  • Contribute production-quality code using modern software engineering principles, design patterns, and secure coding practices.
  • Integrate automated validation into CI/CD pipelines to enable continuous testing and rapid feedback throughout the delivery lifecycle.
  • Partner with development teams to improve testability, quality metrics, coding standards, and engineering effectiveness.
  • Conduct code reviews and contribute to technical design discussions that improve software quality, maintainability, and scalability.
  • Design and execute performance, load, resiliency, reliability, and security testing strategies.
  • Support production readiness through monitoring, observability, logging, dashboards, alerting, and incident analysis.
  • Analyze complex defects, troubleshoot automation failures, and drive root-cause analysis across distributed systems.
  • Support highly available customer-facing applications and contribute to continuous reliability improvements.
  • Leverage AI-assisted engineering tools to accelerate automation development, improve productivity, enhance test coverage, and streamline engineering workflows.
  • Evaluate emerging technologies, frameworks, and testing approaches to continuously improve quality engineering capabilities.
  • Champion engineering excellence through collaboration, knowledge sharing, quality advocacy, and continuous improvement initiatives and data-driven decision-making.

What you have

Required Qualifications

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related technical discipline, or equivalent practical experience.
  • 7+ years of experience in Software Development Engineering in Test (SDET), Software Engineering, Test Automation, or Quality Engineering roles.
  • Strong software development experience using C#, .NET, JavaScript, TypeScript, and object-oriented design principles.
  • Strong understanding of data structures, algorithms, design patterns, and software engineering best practices.
  • Proven experience designing and implementing scalable automation frameworks and quality engineering solutions.
  • Hands-on experience with modern automation tools such as Selenium WebDriver, Playwright, Cypress, or equivalent frameworks.
  • Experience testing RESTful APIs, event-driven systems, and distributed architectures using tools such as Postman, REST Assured, Bruno, or equivalent technologies.
  • Experience with performance and resiliency testing using tools such as JMeter, k6, LoadRunner, or similar platforms.
  • Strong understanding of Agile, DevOps, CI/CD, TDD, BDD, continuous testing, and release automation practices.
  • Experience working with relational and NoSQL databases, including data validation, troubleshooting, and performance analysis.
  • Experience with observability and monitoring platforms such as Splunk, Grafana, AppDynamics, or similar tools.
  • Experience leveraging AI-powered engineering tools such as GitHub Copilot, Microsoft 365 Copilot, AI-assisted testing solutions, prompt engineering techniques, and workflow automation platforms.
  • Experience contributing to cloud-native environments including Google Cloud Platform (GCP), AWS, Azure or PCF platforms.
  • Experience with Jira, Confluence, GitHub, GitHub Actions, Bamboo, or similar engineering productivity and DevOps platforms.
  • Strong analytical, troubleshooting, communication, and collaboration skills.
  • Experience supporting customer-facing applications in regulated or large-scale enterprise environments.

 

Preferred Qualifications

  • Experience within financial services, trading platforms, brokerage systems, or other regulated industries.
  • Experience with AI-driven testing, test data generation, intelligent test selection, or autonomous quality engineering tools.
  • Experience with contract testing, service virtualization or consumer-driven testing.
  • Familiarity with Site Reliability Engineering (SRE) principles and reliability-focused engineering practices.
  • Experience building internal engineering tools, frameworks, developer productivity platforms, or reusable automation accelerators.

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

Skills

JavaScriptTypeScriptAWSAzureGCPCI/CDGitHubJiraConfluenceSplunkRESTAgileDevOpsSREMicroservices

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