Software Quality Assurance (SQA) Lead, Vice President, Onsite
State Street
Software Quality Assurance (SQA) Lead, Vice President, Onsite
Job Description
Who we are looking forState 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, DevOps, 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 GitHub 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 valueThese skills will help you succeed in this roleStrong 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, DevOps, 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 QualificationsBachelor'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 DevOps practices.Knowledge of GitHub 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, ISTQB, Certified Scrum Master, or AI/ML certifications are plus.Additional requirementsCandidate must work primarily in the Pacific Time Zone (California).Regular collaboration with offshore teams in India and China as well as with management and technical teams on the U.S. East Coast is required.Work RequirementOnsite 4 days a week in office and one day remoteStandard business hours aligned to project and stakeholder needs(8am to 5pm)Salary Range: $115,000 - $205,000 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.For a full overview, visit https://hrportal.ehr.com/statestreet/Home.About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at StateStreet.com/careersRead our CEO StatementJob Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Locations
- California, Irvine
Salary
115,000 - 205,000 USD / yearly
Skills Required
- Software Quality Assuranceintermediate
- CI/CD toolsintermediate
- GitHub Copilotintermediate
Required Qualifications
- Candidate must work primarily in the Pacific Time Zone (California). (experience)
- Regular collaboration with offshore teams in India and China as well as with management and technical teams on the U.S. East Coast is required. (experience)
- Candidate must work primarily in the Pacific Time Zone (California). (experience)
- Regular collaboration with offshore teams in India and China as well as with management and technical teams on the U.S. East Coast is required. (experience)
- Onsite 4 days a week in office and one day remote (experience)
- Standard business hours aligned to project and stakeholder needs(8am to 5pm) (experience)
- Onsite 4 days a week in office and one day remote (experience)
- Standard business hours aligned to project and stakeholder needs(8am to 5pm) (experience)
Preferred Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. (degree in computer science)
- 12+ years of experience in Software Quality Assurance, Test Automation, or Quality Engineering. (experience, 12 years)
- 5+ years of experience leading QA teams and enterprise testing initiatives. (experience, 5 years)
- 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)
- Experience testing applications on AWS, including EC2, ECS, EKS, and cloud-native platforms. (experience)
- Knowledge of CI/CD tools and DevOps practices. (experience)
- Knowledge of GitHub Copilot, AI-assisted development tools, MCP Servers, and Large Language Models (LLMs) is a plus. (experience)
- Strong understanding of database testing with Sybase/Oracle and related enterprise data platforms. (experience)
- Financial Services industry experience preferred. (experience)
- Relevant certifications such as AWS Certified Solutions Architect, AWS Certified Developer, ISTQB, Certified Scrum Master, or AI/ML certifications are plus. (degree in ai)
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. (degree in computer science)
- 12+ years of experience in Software Quality Assurance, Test Automation, or Quality Engineering. (experience, 12 years)
- 5+ years of experience leading QA teams and enterprise testing initiatives. (experience, 5 years)
- 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)
- Experience testing applications on AWS, including EC2, ECS, EKS, and cloud-native platforms. (experience)
- Knowledge of CI/CD tools and DevOps practices. (experience)
- Knowledge of GitHub Copilot, AI-assisted development tools, MCP Servers, and Large Language Models (LLMs) is a plus. (experience)
- Strong understanding of database testing with Sybase/Oracle and related enterprise data platforms. (experience)
- Relevant certifications such as AWS Certified Solutions Architect, AWS Certified Developer, ISTQB, Certified Scrum Master, or AI/ML certifications are plus. (degree in ai)
Responsibilities
- 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, DevOps, 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 GitHub 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.
- 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, DevOps, 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 GitHub 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.
- 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, DevOps, 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 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, DevOps, 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.
- Strong ownership, accountability, and execution focus.
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