OTT QA

About Client:
The client is a global technology, consulting, and digital solutions company with problem-solving abilities and an emphasis on developing ingenious solutions that allow its clients to remain competitive, profitable, and secure in an evolving business environment.
Client anticipates and leads change to remain in the leader s quadrant for profitable growth, driven by partnerships with globally leading hyperscales like AWS, Google Cloud, and Microsoft. It has built strong capabilities in new as well as existing technologies such as cloud, data, and digital, pioneering new frontiers.



Salary Range: CAD $90K-$95K/Month



Job Description:

• We are seeking an experienced Analytics QA Engineer to join our Measurement Operations team.
• In this role, you will ensure the accuracy and integrity of analytics implementations across Web, Mobile (iOS/Android), Connected TV (CTV), and Native applications.
• You will collaborate closely with Product, Engineering, and Measurement teams to validate tracking implementations, improve data quality, and support high-quality releases.
• The ideal candidate has a strong background in software qu ality assurance, analytics validation, mobile and CTV testing, and is enthusiastic about leveraging Generative AI to improve QA processes.

• Develop comprehensive test plans, test cases, and testing strategies for new and existing Web, Mobile, Native App, and Connected TV platforms.
• Validate analytics implementations to ensure complete, accurate, and reliable data collection.
• Perform regression testing, data integrity audits, and analytics validation to identify tracking gaps, inconsistencies, and deployment issues.
• Execute QA cycles and provide sign-off for new features, enhancements, and tracking implementations.
• Manage and prioritize QA tickets while identifying and escalating blockers.
• Coordinate test builds with internal teams, stakeholders, and external vendors.
• Document test procedures, expected results, and QA evidence across all supported platforms.
• Participate in sprint planning, backlog refinement, bug triage, and release planning with Product and Engineering teams.
• Create, maintain, and continuously improve a comprehensive library of manual and automated test cases.
• Represent the Measurement Operations team as the subject matter expert for analytics quality and data validation.
• Collaborate with Scrum Masters and Product Owners to support release schedules and quality objectives.

• Utilize AI tools such as Claude, ChatGPT, or similar LLMs to improve and maintain manual test cases.
• Generate functional, negative, and edge-case test scenarios from user stories and business requirements.
• Apply AI-driven techniques for test design, test data generation, and QA documentation.
• Ensure AI-generated outputs are grounded using project context, requirements, historical defects, and known issues through Retrieval-Augmented Generation (RAG) concepts.
• Leverage Agentic AI workflows to improve QA efficiency through task planning, iterative refinement, and intelligent automation.
• Use Docker to execute or validate AI-powered QA tools and supporting utilities.

• 5 years of experience in Software Quality Assurance or Measurement/Analytics Quality Assurance.
  Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field (or equivalent professional experience).
  Experience creating QA test plans, test strategies, and validation processes, preferably for analytics implementations
  Strong experience writing detailed defect reports and collaborating with development teams to resolve issues.
  Experience testing Web, Mobile (iOS/Android), Native Applications, and/or Connected TV (CTV) platforms.
  Working knowledge of network monitoring and debugging tools including:
  • Charles Proxy
  • Wireshark
  • Chrome DevTools
• Experience working in Agile/Scrum environments using Jira and Confluence.
• Familiarity with digital analytics platforms such as:
  • Adobe Analytics
  • Comscore
  • Nielsen
• Strong understanding of Generative AI tools and their practical application within software testing.

• Bachelor's degree in a STEM discipline.
• Experience with analytics implementation validation and tracking quality assurance.
• Strong attention to detail with a passion for data accuracy and integrity.
• Experience maintaining QA documentation and detailed testing records.
• Experience debugging mobile applications using tools such as ADB and Xcode.
  Strong understanding of regression, release, and end-to-end testing.
• Experience supporting streaming media or OTT platforms is highly preferred.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com

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