Senior Quality Assurance Engineer at Pearson

, , India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Automation, Frameworks, DotNet, Java, AWS, Azure, AI/ML Systems, Data Pipelines, Selenium, NUnit, XUnit, Playwright, TestNG, Cucumber, API Testing, SQL

Industry

education

Description

Our team is responsible for the delivery of nearly 4 million examination results per annum, including A-Level, GCSE, BTEC and T-levels for students in UK and International centres. Our in-house systems process every learner from registration to marking and certification, in a highly regulated business. We currently operate a hybrid estate of predominantly bespoke systems, with an ongoing strategic transformation programme to migrate from on-prem to cloud based, cost effective, scalable, and resilient services. Job Description The position is for a highly skilled Senior Quality Assurance Engineer with deep experience in.NET technologies to join a cutting-edge AI transformation project. This role is pivotal in ensuring the delivery of high-quality, scalable, and secure software solutions built on cloud-native platforms (AWS and/or Azure). They independently drive the technical direction of high-stakes projects, provide authoritative guidance during architecture reviews, and collaborate with product owners to align solutions with business strategy. These engineers act as subject-matter mentors, reviewing the work of peers, and are frequently sought for advice during performance tuning or incident investigations. Their decisions exert measurable influence over team priorities and software design choices, but they remain focused on technical and mentoring rather than people leadership. They hold accountability for the resilience and scalability of systems that underpin essential revenue streams or user-facing platforms and are relied upon to avert technical risks before they escalate. About you We’d expect you to work closely with cross-functional teams including AI/ML engineers, cloud architects, and product managers to validate intelligent systems that drive innovation and operational excellence in an Agile project delivery environment using Scrum or Kanban. Key Responsibilities * Design, develop, and execute comprehensive automated and manual test plans ensuring products meet rigorous quality standards and critical requirements are thoroughly verified. * Collaborate closely with development, AI, and business analysis/Product Owners teams to define quality standards, acceptance criteria, estimations, and test strategies enhancing software reliability and performance. * Implement, maintain, and optimise CI/CD pipelines with automated testing frameworks, driving continuous improvement in testing processes, efficiency, and alignment with overall project objectives. * Working with Developers to utilise testing methodologies like TDD / BDD in Cloud / Hybrid environment * Lead integration testing across cloud platforms (such as AWS and Azure), APIs, and microservices, ensuring robust and scalable solutions. * Carry out security testing for security vulnerability fixes to ensure more secure deliveries to production * Improve automation test coverage * Independently manage and resolve escalated or complex testing cases, applying strong analytical and investigative skills while providing detailed analysis, feedback, and accurate reporting of results. * Participate actively in sprint planning, backlog grooming, code reviews, and retrospectives, advocating for a quality-first approach and offering process or tool improvement suggestions. * Monitor, document, and report on test results, defects, and quality metrics using tools such as Azure DevOps or JIRA, ensuring complete defect follow-through and transparency. * Mentor and support junior QA engineers, promoting best practices in software testing, quality assurance, and fostering a culture of continuous learning and improvement. Key Skills * Experience in software QA, with strong proficiency in automation and building frameworks, testing the application written in Java/.net languages. * Hands-on experience with cloud platforms (AWS and/or Azure), including testing cloud-native applications. * Solid understanding of AI/ML systems, data pipelines, and model validation techniques. * Expertise in test automation tools (e.g., Selenium, NUnit, xUnit, playwright, TestNG/Cucumber). * Experience with API testing (Postman, Testfully Rest Assured) * Experience with accessibility and browser compatibility testing * Familiarity with DevOps practices, CI/CD tools (GitHub Actions, Azure Pipelines), and containerization (Docker, Kubernetes). * Proficiency in SQL for writing complex queries, joins, and stored procedures to validate backend data. * Experience with relational databases such as SQL Server, PostgreSQL, or MySQL. * Strong analytical and problem-solving skills with attention to detail. * Excellent communication and collaboration skills. Qualifications & Experience * Experience in AI model testing, bias detection, and explainability validation. * Certifications in AWS/Azure, ISTQB, or equivalent. * Providing support to Performance and Security testing teams * Application of stringent Definition of Done (DoD) on moving stories to Done in JIRA * Experience with Jenkins and Maven * Root Cause Analysis (RCA) * Shift Left Testing

Responsibilities

The engineer will design, develop, and execute comprehensive automated and manual test plans, collaborating with development and AI teams to define quality standards and acceptance criteria. Key tasks include implementing and optimizing CI/CD pipelines with automated testing frameworks and leading integration testing across cloud platforms.