Quality Engineer

• Well versed in test strategy, test case creation, test execution, bug submission and bug management through the test and bug management tool.

• Performs complex test design and understands complex positive and negative real-world scenarios independently.

• Drives clarity and understanding of new features by actively considering and utilizing scenarios that are beyond acceptance criteria and team discussions.

• Able to implement new and/or improved testing concepts, types, techniques, and tools to streamline the testing effort and improve the quality and efficiency of deliverables.

• Possesses knowledge of and maintains different test and integration environments required to carry out all the QE duties effectively, and on time.

• Collaborates with geographically distributed teams.

• Thorough knowledge on Agile methodologies.

• Azure DevOps for test management.

• API testing using postman and API test automation.

• Automation or scripting experience using any automated tool. SpecFlow framework with Selenium and C# for test automation (BDD) is preferred.

• Demonstrates new Features and functionality during Sprint reviews and Client demos.

• Performs installation / deployment / upgrades, troubleshooting, effective root-cause analysis, and defect investigation activities.

Skills needed to be successful:

• Ability to think creatively, identify alternatives, and generate new ideas necessary to achieve a goal.

• Ability and willingness to make decisions that represent the best course of action out of the available options to achieve a desired result.

• Proficiency in AI/CoPilot usage is essential, particularly in design and development, to drive productivity increases.

• Knowledge in Prompt Engineering is important, along with the ability to leverage CoPilot Agent/LLM models effectively.

• Candidates should be skilled in automating testing and defect analysis processes. The use of AI-driven tools for code review and optimization is another critical area we need to validate.

• and certification on AI.

Hard Skills:

• Ability to query data across various technologies to understand how the data is impacted by user actions.

• Ability to represent software workflows, architecture, entities, and relationships via different visual and/or language methods.

• Ability to perform root cause analysis to identify the most important contributing factor(s) to an issue.

• Ability to closely estimate task durations and complete work projects as scheduled.

• Ability to work methodically in a fast-paced, time sensitive environment.

• Excellent attention to detail and follow-up.

Required Experience & Education

• Bachelor s degree in Engineering or related discipline or equivalent relevant work experience.

• 2-4 years experience working with quality engineering and development life cycles, software testing methodologies, and quality assurance.

Preferred Experience & Education

• Knowledge on EU healthcare domain

• Knowledge on Cloud based application testing.

Supervisory Responsibilities

• None