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About the Role

Seeking an experienced Senior QA Engineer to lead quality initiatives and drive software excellence. This role involves evaluating system architecture, technical specifications, and code to ensure solutions meet and exceed requirements. The engineer will champion the end-user perspective, analyze technical designs, and mentor QA standards. Ideal candidates possess a creative, strategic approach to complex technical challenges, balancing quality with business objectives and delivery timelines. Expertise in modern QA tooling, test automation, testing methodologies, and agile delivery is required, with a strong familiarity with cloud technologies being key.

Responsibilities

Participate in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement.
Lead the release planning process to review functional specifications and create release plans.
Collaborate with software engineers to design and execute end-to-end verification test plans for complex deployments.
Own and oversee comprehensive regression test suites across large-scale data pipelines and enterprise applications, conducting thorough reviews with engineering, architecture, and field operations.
Produce regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audience.
Assess the quality, usability, and functionality of each release.
Establish, standardize, and govern QA frameworks and methodologies across projects to align with organizational quality goals and technical standards.
Lead and train a dynamically changing team of colleagues who participate in testing processes.
Exhibit deep technical expertise in handling large scale programs/projects that involve multiple stakeholders (Product, Dev, DevOps).
Maintain a leading edge understanding of QA automation, data validation techniques, and modern cloud technologies to keep testing strategies industry-leading.
Design and implement test automation strategy for multiple product development teams at the onset of the project.
Lead efforts for related automation projects, design, and code reviews.
Work closely with leadership and QA members across cross-functional engineering scrum teams to provide input into the design and implementation of the automation framework.
Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate the delivery of new features and products with high quality and at scale.
Develop and contribute to a culture of high performance, transparency, and continuous improvement as it relates to the infrastructure services and streamlining of the development pipeline.
Participate in a diverse team of talented engineers globally, providing guidance, support, and clear priorities.

Requirements

Minimum of 7 years of Quality Engineering experience.
Proficient across multiple industry-leading test automation frameworks including, but not limited to, front-end UI testing and backend/API validation.
Proficient in RESTful API design principles and best practices, with demonstrated capability in implementing automated API tests within python-based frameworks alongside manual API testing.
Proficient in designing and executing performance, stress, and throughput testing strategies using modern load testing tools to analyze system latency, endpoint performance, and data processing bottlenecks.
Strong experience working with relational and non-relational database architectures, including modern cloud analytical data warehouses, and high-throughput column-oriented engines.
Strong working knowledge of modern cloud technologies (preferably Google Cloud Platform)—including real-time messaging streams, large-scale data storage, batch and streaming data integration pipelines, distributed data processing, and workflow orchestration.
Experience with data profiling, data cataloging, and automated data quality controls is a strong plus.
Proficient in modern programming and scripting languages, with practical experience in utilizing modern AI tools to drive faster, high-efficiency test execution.
Experience with Azure DevOps or Jira, or another similar issue/bug tracking systems.
Experience working in an Agile software development organization, with a deep understanding of Scrum-based methodologies and practices.
Strong analytical skills and ability to solve complex technical problems.
Ability to think abstract – to ensure ability not to conform to the norm. Norms do not find bugs quickly.
Ability to work in an advisory capacity to identify key technical and business problems, develop and evaluate.
Excellent verbal, written, and interpersonal communication skills.
This position is open to applicants who are currently authorized to work in the United States and will not require employer sponsorship now or in the future.

Skills

Test automation
Agile delivery
Cloud technologies
RESTful API design
Automated API tests
Manual API validation
Performance testing
Stress testing
Throughput testing
Load testing tools
Relational database architectures
Non-relational database architectures
Cloud analytical data warehouses
High-throughput column-oriented engines
Google Cloud Platform
Real-time messaging streams
Large-scale data storage
Batch and streaming data integration pipelines
Distributed data processing
Workflow orchestration
Data profiling
Data cataloging
Automated data quality controls
Modern programming languages
Scripting languages
AI tools
Azure DevOps
Jira
Scrum-based methodologies

Location

New York

Work Type

Hybrid
Full-time

Experience Level

Senior
7 years of Quality Engineering experience

Salary/Compensations

$109,943 to $138,242

Benefits

Eligible for an annual incentive plan
Eligible to receive additional company benefits

About the Company

automotiveMastermind was founded on the idea that there are patterns in people’s behavior that, with the right logic, can be used to predict future outcomes.
Our software helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale.
Our culture is creative and entrepreneurial where everyone contributes to company goals in a very tangible way.
We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization.

Equal Opportunity

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.