Software Quality Assurance (SQA) Lead, Vice President, Onsite
Listed on 2026-08-22
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Software Development
DevOps, Cloud Engineer - Software, Software Project Mgr/ Lead, Software Testing
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.
WhatYou Will Be Responsible For
As 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-driven testing, and quality engineering.
- Support audit, compliance, resiliency, and risk management initiatives through robust testing controls and validation frameworks.
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.
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…
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