SECU
VP QA Engineering
Operations - Raleigh - Creedmoor Rd · Vp
Sponsorship not specifiedDetected 30 days ago
PythonDistributed SystemsCloud PlatformsForecastingJMeterLoad TestingTest AutomationAPI TestingLeadershipCommunicationProblem SolvingPublic Speaking
About the role
- Quality Assurance leader in Information Technology responsible for leading teams of QA Engineers and Performance Engineers delivering testing services with a focus on automation and performance.
- Combining people leadership with deep technical involvement, this role is responsible for evolving and maturing our QA practice in the areas of test automation and performance testing to ensure delivery of high-quality, reliable solutions.
Responsibilities
- Manage organizational demand for Quality Assurance services in the areas of test automation and performance testing and effectively manage resources in alignment with organizational roadmap and strategic priorities.
- Collaborate with leaders across the organization in both business and IT to understand solution expectations within enterprise roadmap to devise appropriate quality plans and execution.
- Build close business relationships serving as a trusted advisor for implementation teams and advocating for a culture of quality across the organization with an automation first mindset.
- Establish new opportunities for engagement to build and strengthen partnerships.
- (20%) Create and manage skill development program to extend the impact and value of test automation using combination of low code and scripted automation methods to build and enhance organizational skillset in areas of test automation.
- Ability to lead a team in a fast-paced dynamic environment and manage competing priorities.
- Exceptional communication skills both verbally and in writing including the ability to deliver formal presentations to leaders of all levels, influence partners and stakeholders and deliver formal reports and proposals.
- Ability to build and foster relationships across the enterprise needed to embed Quality Assurance into delivery processes and to promote a culture of quality.
- Drive the implementation, maturation, and management of enterprise performance test practice.
Requirements
- Expert knowledge of testing best practices and methodologies acquired through a combination of prior work experience and formal industry training.
- Experience leading performance, load and stress testing for high availability systems at an enterprise scale with ability to interpret complex performance data.
Skills
- Proficiency in multiple programming languages such as Python or Java.
- Strong experience with test automation tools and frameworks.
- Demonstrated quality assurance experience in a large financial institution setting.
- Extensive hands-on experience with performance testing tools such as JMeter, Gatling, NeoLoad, and LoadRunner.
- Strong understanding of distributed systems, microservices, and APIs.
- Prior experience supporting large, complex, enterprise and cross functional programs and/or projects.
- Experience supporting project delivery leveraging agile, iterative, and waterfall methodologies.
- Critical thinker with strong analytical and problem-solving skills with an ability to act decisively.
- Resource forecasting and employee resource management skills.
- Advanced conflict resolution skills.
- Experience building and fostering cohesive, collaborative teams.
- Bachelor's degree in computer science, Information Technology, Business, Finance or Engineering
Benefits
- (30%) Oversee test automation frameworks, tools, and integration into deployment pipelines setting clear expectations for quality automation coverage to reduce reliance on manual test methods.
- Required Education & Experience (Knowledge, Skills, & Abilities):
- Ability to think strategically and communicate effectively at all levels of leadership to relay the value and benefit of Quality Assurance engagement and services.
- Preferred Education & Experience (Knowledge, Skills, & Abilities):
This listing is sourced directly from SECU's careers page and normalized into a canonical job model.