Software Quality Assurance; SQA) Lead, Vice President, Onsite

Position: Software Quality Assurance (SQA) Lead, Vice President, Onsite
Who we are looking for State Street is seeking a highly motivated and experienced Software Quality Assurance (SQA) Lead to champion quality engineering excellence across strategic technology initiatives. In this role, you will lead business unit-wide test automation, cloud testing, and modern quality engineering practices to deliver secure, scalable, resilient, and high-quality software solutions.

This opportunity offers the chance to shape quality strategy, accelerate digital transformation, and build next-generation testing solutions leveraging cloud-native technologies and modern engineering practices within one of the world's leading financial services organizations.

What you will be responsible forAs a Software Quality Assurance (SQA) Lead, Vice President, you will:

Lead quality engineering efforts across both modern cloud-native platforms and legacy enterprise applications, including client-server, and distributed systems, ensuring consistent quality standards throughout modernization and transformation initiatives.

Define and execute enterprise quality engineering strategies, standards, and automation roadmaps aligned with business and technology objectives.

Lead the design, development, and maintenance of scalable test automation frameworks using Java, Selenium, Playwright, and Cucumber (BDD).Drive automation across Functional, Regression, Integration, End-to-End, Smoke, and Sanity testing initiatives to improve release quality and speed.

Partner with Development, Dev Ops, and Product teams to embed continuous testing practices within CI/CD pipelines and Agile delivery frameworks.

Lead testing efforts for cloud-native applications deployed on Amazon ECS and EKS, ensuring scalability, resiliency, availability, failover, and disaster recovery readiness.

Establish quality metrics, reporting, and governance processes to provide visibility into application quality, testing effectiveness, and release readiness.

Leverage AI-powered tools such as Git Hub Copilot, MCP Servers, LLMs, and intelligent automation technologies to improve productivity, test coverage, and engineering efficiency.

Collaborate with Architecture and Engineering teams to ensure quality considerations are incorporated into application design and development processes.

Mentor and develop QA engineers by promoting best practices in automation, cloud testing, AI-enabled testing, and quality engineering.

Support audit, compliance, resiliency, and risk management initiatives through robust testing controls and validation frameworks.

What we value

These skills will help you succeed in this role Strong leadership and communication skills with the ability to influence technical and business stakeholders.

Experience supporting large-scale technology modernization initiatives, balancing quality assurance needs across legacy and next-generation platforms.

Deep understanding of Software Development Life Cycle (SDLC), Agile, Dev Ops, and Quality Engineering principles.

Strong analytical and problem-solving skills with attention to detail.

Passion for innovation and adoption of AI-driven engineering practices.

Ability to manage multiple priorities in a fast-paced environment.

Strong collaboration and stakeholder management skills across globally distributed teams.

Demonstrated commitment to continuous improvement, operational excellence, and quality-first culture.

Ability to coach, mentor, and develop high-performing QA teams.

Strong ownership, accountability, and execution focus.

Education &

Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
12+ years of experience in Software Quality Assurance, Test Automation, or Quality Engineering.
5+ years of experience leading QA teams and enterprise testing initiatives.

Experience leading quality engineering for large-scale financial services platforms spanning legacy technologies (COBOL, C/C++, Sybase, Oracle) and modern architectures (Java, microservices, APIs, cloud-native applications).Experience testing applications on AWS, including EC2, ECS, EKS, and cloud-native platforms.

Knowledge of CI/CD tools and Dev Ops practices.

Knowledge of Git Hub Copilot, AI-assisted development tools, MCP Servers, and Large Language Models (LLMs) is a plus.

Strong understanding of database testing with Sybase/Oracle and related enterprise data platforms.

Financial Services industry experience preferred.

Relevant certifications such as AWS Certified Solutions Architect, AWS Certified Developer,…