Senior QA Analyst testing Nelson’s digital K-12 learning products across frontend, backend, APIs, and databases. Building automation and investigating performance and accessibility issues.
Responsibilities
Work closely with product, development, design, infrastructure, and QA teams to deliver reliable and accessible digital learning products
Test web applications across frontend and backend using manual, API, database, automation, accessibility, and performance testing methods
Participate in quality activities throughout the software development lifecycle, including planning, design reviews, test preparation, testing, defect investigation, release validation, and production regression testing
Create, maintain, and execute test plans, test scenarios, and test cases
Test user interfaces, APIs, databases, integrations, and services
Perform functional, regression, smoke, exploratory, integration, usability, and cross-browser testing
Find, reproduce, investigate, and document defects in Jira with clear steps, evidence, expected results, and actual results
Collaborate with developers, product managers, designers, infrastructure engineers, and stakeholders to investigate and resolve quality issues
Validate completed work against functional requirements, acceptance criteria, design expectations, and quality standards
Create, maintain, execute, and improve automated tests using Playwright or similar tools
Improve the structure, reliability, coverage, and maintainability of automated regression suites
Use AI coding assistants such as Claude Code, Codex, or similar tools when appropriate
Maintain QA documentation, testing standards, and reusable testing practices
Participate in release testing and identify quality risks before release
Stay familiar with Nelson products and how educators and learners use them
Use logs, traces, and metrics for defect investigation, bug triage, and root cause analysis
Review distributed traces involving backend calls, service interactions, API requests, or gRPC calls
Create and execute load and performance tests using k6 or similar tools
Review response time, throughput, error rate, and percentile latency including p95 latency
Compare performance results against prior results or established baselines
Investigate performance issues with developers and infrastructure engineers
Assist with release and production readiness testing when performance or infrastructure validation is required
Requirements
4 or more years of professional experience in software quality assurance or software testing, preferably with web based applications
Strong experience testing modern web applications across both frontend and backend systems
Hands-on experience testing APIs, databases, integrations, and other backend services
Experience creating test plans, test strategies, test scenarios, and detailed test cases
Experience designing, writing, and maintaining automated tests
Experience with Playwright is strongly preferred
Good understanding of web application architecture, frontend and backend systems, APIs, databases, services, and common security concepts
Experience using Jira or a similar issue tracking system
Experience working in Agile and Scrum development environments
Experience with accessibility testing and knowledge of AODA or related accessibility standards
Strong troubleshooting and analytical skills
Clear written and verbal communication skills
Ability to manage multiple priorities and move between product, automation, release, and infrastructure testing
Strong collaboration skills and ability to work effectively with cross functional teams
Bachelor’s degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience
Preferred: working knowledge of application observability and telemetry, including logs, distributed traces, and metrics
Preferred: experience with observability tools such as Grafana, Datadog, OpenTelemetry, Application Insights, or similar platforms
Preferred: experience with performance and load testing using k6 or a similar tool
Preferred: ability to understand p95 latency, throughput, response time, and error rate
Preferred: experience using telemetry and traces for root cause analysis and defect investigation
Preferred: experience testing service based or microservice architectures, including REST APIs or gRPC services
Preferred: experience using AI coding assistants such as Claude Code, Codex, or similar tools
Preferred: experience contributing to automation frameworks, continuous integration workflows, or automated regression pipelines
Preferred: experience testing education technology, content platforms, learning applications, or other customer facing digital products
Benefits
Hybrid flexibility, M-F, standard business hours
Commuter friendly location (Sheppard & Don Mills)
Free parking on-site
Free, convenient shuttle bus service from Don Mills Subway Station to and from the office
Access to on-site fitness center and fitness classes
Access to LinkedIn Learning for continuous skill growth
Mentorship and professional development opportunities
Comprehensive Employee Assistance Program (EAP) providing confidential support spanning from mental health services to financial counselling
May be eligible for performance-related incentive pay
Total Rewards package including benefits and programs that support employee well-being and growth
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