Sr. Automation QA
1 day ago
Sr. Automation QA (Tosca & Python)
Location: Water Street, NY or Princeton, NJ (Hybrid from day 1)
Duration: 6 Months contract to hire with the client
The Team:
- The team works in an agile environment and adheres to all basic principles of Agile. As a Quality Engineer, you will work with a team of intelligent, ambitious and hard-working software professionals.
- The team is independent in driving all decisions and responsible for architecture, design and development of our products with high quality.
The Impact:
Be part of organization level digital transformation that will lead data digitization, process optimization and business agility for the end users. You will Lead quality assurance effort on the initiatives that are directly aligned with organization goals / vision.
Responsibilities:
- Design and develop automation/performance solutions that meet organization standards and build reliable, reusable, and maintainable automated regression suites & test harnesses
- Create/Maintain tools and frameworks with quality code to simplify testing scenarios.
- Design and develop test plans, test cases based upon functional and design specifications, execute test cases, and analyze and report test results to the teams
- Work in partnership with the development teams to deliver business functionality on time with required quality that meets the acceptance criteria
- Uses strong testing skills to provide guidance and assist project staff as appropriate.
- Ensures best practices are followed and testing activities stay on schedule.
- Focus on building efficient solutions for Web, Services/APIs, Database, UI (Multi browser) testing requirements.
What we are looking for:
- 8+ years of strong experience in QA/testing
- Strong in API Testing, Data Testing and SQL queries
- Strong Knowledge in database, API and software testing concepts
- Strong knowledge on Coding Skills in any programmatic language, preferably Python.
- Tosca Automation is a MUST.
- Develop a comprehensive test strategy, test plan and test cases
- Proficient with software development lifecycle (SDLC) methodologies like Agile, QA methodologies, defect management systems, and documentation.
- Experience in automation, automation frameworks and automation delivery preferred.
- Good at setting quality standards for various new testing technologies in the industry.
- Good at identifying and defining areas to calculate the overall risk to the project and Creating strategies to mitigate those risks and escalate as necessary.
- Excellent Analytical and communication skills are essential, with strong verbal and writing proficiency.
- Bachelor's/PG degree in Computer Science, Information Systems or equivalent.
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