Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

​​Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region​.

What you have

Key Responsibilities:

•Set up, maintain, and enhance manual and automation test frameworks across multiple ASDD applications.
•Build and execute test scenarios, acceptance tests, regression suites, and end-to-end integration tests.
•Facilitate E2E certification with upstream and downstream systems before and after production releases.
•Understand platform behavior from both business and technical perspectives to improve risk-based testing.
•Design and maintain scalable quality frameworks covering UI, API, backend, and data movement validations.
•Collaborate with cross-functional development and QA teams to identify integration risks and build strong test cases.
•Evaluate and adopt emerging test tools, AI-assisted methods, and quality engineering best practices.
•Support multiple concurrent projects in fast-paced release cycles.
•Develop shell and Java/Python utilities for test data loading, reconciliation, and environment readiness checks.
•Validate data quality and integrity across SQL Server, Oracle, and downstream systems.
•Support production triage, defect root-cause analysis, and continuous improvement of release quality controls.

Required Qualifications:

•Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
•3-5 years of professional experience in test automation frameworks within Agile environments.
•Strong understanding of SDLC and quality engineering paradigms.
•Strong understanding of test coverage strategy across unit, functional, integration, and regression layers.
•Programming knowledge and hands-on experience in object-oriented languages (Java preferred)
•Experience with Atlassian toolchain (Bitbucket, Jira, Zephyr, Bamboo).
•Proven experience in Agile delivery teams and sprint-based quality execution.
•Strong communication skills (oral and written) with ability to collaborate across developers, QA peers, and leads.
•Strong analytical, troubleshooting, and problem-solving capabilities.
•Ability to work collaboratively and with minimal oversight across technical and business teams.
•Experience building and maintaining test frameworks for UI, API, and backend validations.
•Experience developing shell and Java/Python scripts for test data setup and cross-application validation.
•Experience supporting release certification pre-deployment and post-production deployment.

Preferred Qualifications:

​​•Experience with ETL and data validation for functional, integration, performance, and security testing.
•Experience with TDD and CI/CD testing practices.
•Experience with cloud technologies such as PCF and GCP.
•Experience with SQL and relational databases (Oracle, SQL Server).
•Financial industry experience in regulated systems.
•Experience validating event-driven systems (RabbitMQ, Google Pub/Sub) and scheduled batch workflows (Control-M).
•Exposure to AI-assisted QE tools for script generation, edge-case payload creation, and BDD debugging.
•Experience with observability platforms such as Splunk for defect triage and root cause analysis.
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