Sr Manager, Software Development & Engineering Lead (PL)

Your opportunity

Schwab Description

At Charles Schwab, our purpose is simple: we championclient’sgoals with passion and integrity. Guided by honesty, mutualrespectand a commitment to doingwhat’sright, 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.

Schwab India Description

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation,scaleand 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’sa chance to experiment, learn, and build within avalues-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.

Role Description

We are seeking a strategic Senior Software Engineering Manager to lead Quality Assurance and Test Engineering practices across complex, distributed technology programs. This people leader will build and scale a modern QA practice that strengthens release confidence, improves engineering productivity, and embeds quality throughout the SDLC. The ideal candidate brings deep experience managing end-to-end test programs, automation strategy, non-production environment readiness, and AI-driven optimization in test engineering.

What you have

Key Responsibilities

• Lead, coach, and develop QA engineers, SDETs, test automation engineers, and test leads.

• Define and execute QA and Test Engineering strategy across products, platforms, and value streams.

• Own program-level end-to-end test planning and execution, including scope, criteria, risk-based testing, dependency management, defect triage, release readiness, and executive reporting.

• Build and scale automation across UI, API, service, database, integration, regression, smoke, and business-critical workflows.

• Drive AI-enabled test engineering optimization, including AI-assisted test generation, intelligent prioritization, flaky test detection, failure clustering, self-healing automation, test data generation, and predictive quality insights.

• Partner with Engineering, Product, Architecture, Operations, and Business stakeholders to shift quality earlier in the SDLC.

• Establish QA governance, operating rhythms, dashboards, metrics, and reporting practices.

• Oversee non-production environment readiness, test data strategy, service virtualization, and dependency management.

• Champion continuous improvement and manage communication, escalation, RCA, and corrective action planning.

Required Qualifications

• 12 - 15  years in Software Quality Assurance, Test Engineering, SDET, or Software Engineering roles supporting enterprise applications.

• 3 + years ofpeopleleadership managing QA, SDET, automation, or test engineering teams.

• Experience leading end-to-end test programs across multiple applications, platforms, integration partners, and distributed teams.

• Strong background in automation strategy, framework design, CI/CD integration, and scalable automated test suites.

• Experience with tools/languages such as Selenium, Playwright, Cypress,WebdriverIO, Karate, REST Assured, Postman, Cucumber BDD, Java, JavaScript, TypeScript, Python, or similar.

• Experience applying AI, machine learning, or intelligent automation concepts to improve test design, execution, defect analysis, maintenance, coverage, and productivity.

• Experience defining QA roadmaps, quality metrics, governance models, maturity plans, and improvement initiatives.

• Strong understanding of Agile, Scrum,SAFe, DevOps, CI/CD, shift-left testing, risk-based testing, service virtualization, test data management, and release readiness.

• Ability to communicate clearly with senior leaders, product owners, engineers, architects, operations teams, and business stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

Preferred Qualifications

• Experience building or maturing a QA Center of Excellence, test engineering community of practice, or enterprise quality engineering operating model.

• Experience with AI-assisted QA tooling such as test generation, self-healing automation, visual AI testing, predictive defect analytics, or failure analysis.

• Experience leading quality engineering transformation in regulated, financial services, payments, banking, trading, or high-reliability technology environments.

• Experience with cloud-based test execution, containerized test environments, observability, service virtualization, synthetic test data, and performance engineering.

• Ability to translate technical quality initiatives into measurable business outcomes.

• Master’s degree or relevant certifications in software engineering, quality engineering, Agile delivery, cloud, DevOps, or AI-enabled engineering practices.