Publié il y a 8 jours
Functional Quality Assurance Tester
@ Coforge
Mississauga, Ontario
Responsabilités :
- Develop and execute functional, regression, integration, end-to-end, and exploratory test cases.
- Review requirements, user stories, and acceptance criteria to identify test scenarios, edge cases, and potential gaps.
- Document, track, retest, and validate defects through resolution.
- Test applications and integrations within an AWS environment , including Lambda, SQS, SNS, S3, and CloudWatch.
- Perform API testing to validate requests, responses, payloads, integrations, and error scenarios.
- Perform database testing and SQL queries to validate data accuracy and troubleshoot issues.
Résumé des exigences :
- The ideal candidate will have strong hands-on manual testing experience, exposure to AWS technologies, API and database testing skills, and an interest in using automation and AI to…
- Review requirements, user stories, and acceptance criteria to identify test scenarios, edge cases, and potential gaps.
- Strong experience in functional/manual software testing .
- Experience testing cloud-based applications, preferably within AWS .
- Experience with API testing, database testing, and SQL .
- Experience with Jira, Zephyr Essentials, and Confluence .
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-02
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Coforge
Role: Functional Quality Assurance (QA) Tester
Location: Mississauga, ON
Workplace type: Hybrid
Position Summary
We are seeking an experienced Functional QA Tester to support the testing of cloud-based applications, integrations, and enhancements. The ideal candidate will have strong hands-on manual testing experience, exposure to AWS technologies, API and database testing skills, and an interest in using automation and AI to improve testing efficiency and coverage.
Key Responsibilities
- Develop and execute functional, regression, integration, end-to-end, and exploratory test cases.
- Review requirements, user stories, and acceptance criteria to identify test scenarios, edge cases, and potential gaps.
- Document, track, retest, and validate defects through resolution.
- Test applications and integrations within an AWS environment, including Lambda, SQS, SNS, S3, and CloudWatch.
- Perform API testing to validate requests, responses, payloads, integrations, and error scenarios.
- Perform database testing and SQL queries to validate data accuracy and troubleshoot issues.
- Use logs and application data to investigate issues and support root-cause analysis.
- Create and maintain test cases using Zephyr Essentials and manage defects and work items in Jira.
- Identify opportunities to automate repetitive and regression test cases.
- Work with automation tools and frameworks to develop or maintain automated tests.
- Use and experiment with AI tools to improve test-case creation, test coverage, automation, troubleshooting, and overall QA efficiency.
Qualifications
- Strong experience in functional/manual software testing.
- Experience testing cloud-based applications, preferably within AWS.
- Experience with API testing, database testing, and SQL.
- Experience with Jira, Zephyr Essentials, and Confluence.
- Experience with or a strong understanding of test automation.
- Comfortable using and experimenting with AI tools and applying AI to testing and automation activities.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working in an Agile software delivery environment.
- Strong communication and collaboration skills.
Preferred Experience
- Testing serverless or event-driven AWS applications.
- Working with Lambda, SQS/SNS, CloudWatch, and S3.
- API testing tools such as Postman.
- Automating functional, regression, or API testing.
- Using AI-assisted tools to generate test scenarios, support automation, analyze results, or improve QA processes.
Journal
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