Highlights
The candidate will also drive the adoption of Agentic AI within the QA lifecycle, leveraging AI agents to enhance test design, automate test generation and execution, improve defect analysis and root-cause identification, and enable intelligent, self-improving quality engineering practices across the SDLC. Detailed Job Description: We are seeking an experienced and highly motivated Engineer in QA to spearhead our API automation and AI-driven quality engineering efforts.
Numbers & Facts
| Location | Dearborn, MI |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
Description
Job Title: QA Automation Engineer
Work Location & Reporting Address: Dearborn, MI 48120 (onsite from Day 1)
Contract duration: 6 Months
Must Have Skills:
API Automation using Rest Assured and BDD principles
Exp with API testing tools - Hoppscotch, Postman, Swagger, or ReadyAPI
Strong Java knowledge
Proficiency in using IDEs such as Eclipse or IntelliJ IDEA
Nice to Have Skills:
Google Cloud Platform knowledge
Experience with CI/CD tools like Tekton, Jenkins, GitLab CI, or CircleCI
Basic knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL datastores (e.g., MongoDB, Cassandra)
Experience with data quality testing and working with large datasets
Detailed Job Description:
We are seeking an experienced and highly motivated Engineer in QA to spearhead our API automation and AI-driven quality engineering efforts. This role is critical in ensuring the quality, reliability, performance, and resilience of our microservices-based platform built with Spring Boot and deployed on Google Cloud Platform (GCP). The ideal candidate will have a strong background in API automation using RestAssured and BDD frameworks, along with a deep understanding of cloud-native technologies. The candidate will also drive the adoption of Agentic AI within the QA lifecycle, leveraging AI agents to enhance test design, automate test generation and execution, improve defect analysis and root-cause identification, and enable intelligent, self-improving quality engineering practices across the SDLC.
Key Responsibilities:
Leadership and Strategy:
Develop and execute a comprehensive API automation strategy aligned with the overall quality goals of the organization.
Identify and implement innovative testing approaches and technologies to enhance the efficiency and effectiveness of our QA processes.
API Automation Development:
Design, develop, and maintain robust and scalable API automation frameworks using RestAssured and BDD principles.
Write clean, well-documented, and maintainable automation scripts to validate API functionality, performance, and security.
Implement data-driven testing strategies to ensure comprehensive test coverage.
Integrate automation scripts into the CI/CD pipeline for continuous testing.
Collaboration and Communication:
Collaborate closely with developers, product managers, and other stakeholders to understand requirements and ensure testability.
Participate in design and architecture reviews to provide feedback on testability and identify potential quality risks.
Communicate test results and quality metrics to stakeholders in a clear and concise manner.
Work with extended integration partner teams to define and execute exploratory and automated API tests
Quality Assurance and Best Practices:
Establish and enforce QA guidelines, best practices, and standards across the team.
Actively review code to ensure software quality and functional accuracy.
Ensure all code adheres to secure coding practices and meets minimum code coverage requirements.
Stay up-to-date with the latest trends and technologies in API automation and cloud-native testing.
Promote a culture of quality ownership and accountability within the team.
Operational Support:
Handle operational issues with minimal oversight, troubleshooting and resolving problems quickly and effectively.
Build reusable frameworks and integrate SaaS frameworks to improve efficiency and scalability.
Required Skills and Experience:
Experience: 8-12 years of experience in software development and quality assurance, with a strong focus on API automation.
Technical Expertise:
API Automation:
Extensive experience with RestAssured for API testing.
Proficiency in Behavior-Driven Development (BDD) frameworks like Cucumber/Gherkin.
Experience with API testing tools such as Hoppscotch, Postman, Swagger, or ReadyAPI.
Knowledge of API security testing principles and tools (e.g., OWASP).
Java and Spring Boot:
Strong proficiency in Java and related open-source technologies.
Hands-on experience with Spring Boot and Spring Cloud frameworks for building microservices.
Experience with dependency injection, RESTful APIs, and other core Spring concepts.
Cloud Technologies:
Solid understanding of cloud-native technologies and architectures.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.
Familiarity with Google Cloud Platform (GCP) services (e.g., Compute Engine, Cloud Storage, Cloud Functions).
Testing Frameworks and Tools:
Experience with unit testing frameworks like JUnit and TestNG.
Proficiency in using IDEs such as Eclipse or IntelliJ IDEA.
Experience with CI/CD tools like Tekton, Jenkins, GitLab CI, or CircleCI.
Databases:
Basic knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL datastores (e.g., MongoDB, Cassandra).
Experience with data quality testing and working with large datasets.
Version Control and Collaboration:
Proficiency in using version control systems like Git.
Experience with collaborative tools like GitHub, Bitbucket, or GitLab.
Agentic AI Adoption: Experience adopting agentic AI tools and approaches to improve API test design, automation, analysis, and QA productivity.
Other Technologies (Nice to Have):
Knowledge of contract testing using Pact or similar frameworks.
Exposure to performance testing tools like JMeter or Gatling.
Experience with monitoring and logging tools like Prometheus, Grafana, or ELK stack.
Agile Development:
Familiarity with Agile development methodologies (e.g., Scrum, Kanban).
Experience working in Agile teams and participating in sprint ceremonies.
Soft Skills:
Excellent communication, interpersonal, and collaboration skills.
Strong problem-solving and analytical abilities.
Ability to work independently and as part of a team.
Keen to learn the design and architecture of the product and participate in ceremonies that can influence both.
Responsibilities in Detail:
Coding and Development:
Complete coding tasks according to design specifications with the highest quality and within the scheduled time.
Work under the guidance of a Technical Architect, contributing to the overall system design.
Build reusable frameworks and integrate SaaS frameworks to enhance testing capabilities.
Code Quality and Security:
Ensure all code delivered adheres to secure coding practices.
Maintain adequate code coverage, aiming for a minimum of 70%.
Actively review code to ensure software quality and functional accuracy across the team.
Documentation and Reporting:
Develop, document, and maintain test plans, procedures, and scripts.
Use code repositories and tracking systems such as Git, Confluence/SharePoint, and JIRA for documentation, scripts, results, configuration, and supporting data.
Domain Knowledge (Plus):
Good understanding of the eCommerce domain is a plus.
Education:
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum Years of Experience:
8 years
Certifications Needed:
None
Work Location & Reporting Address: Dearborn, MI 48120 (onsite from Day 1)
Contract duration: 6 Months
Must Have Skills:
API Automation using Rest Assured and BDD principles
Exp with API testing tools - Hoppscotch, Postman, Swagger, or ReadyAPI
Strong Java knowledge
Proficiency in using IDEs such as Eclipse or IntelliJ IDEA
Nice to Have Skills:
Google Cloud Platform knowledge
Experience with CI/CD tools like Tekton, Jenkins, GitLab CI, or CircleCI
Basic knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL datastores (e.g., MongoDB, Cassandra)
Experience with data quality testing and working with large datasets
Detailed Job Description:
We are seeking an experienced and highly motivated Engineer in QA to spearhead our API automation and AI-driven quality engineering efforts. This role is critical in ensuring the quality, reliability, performance, and resilience of our microservices-based platform built with Spring Boot and deployed on Google Cloud Platform (GCP). The ideal candidate will have a strong background in API automation using RestAssured and BDD frameworks, along with a deep understanding of cloud-native technologies. The candidate will also drive the adoption of Agentic AI within the QA lifecycle, leveraging AI agents to enhance test design, automate test generation and execution, improve defect analysis and root-cause identification, and enable intelligent, self-improving quality engineering practices across the SDLC.
Key Responsibilities:
Leadership and Strategy:
Develop and execute a comprehensive API automation strategy aligned with the overall quality goals of the organization.
Identify and implement innovative testing approaches and technologies to enhance the efficiency and effectiveness of our QA processes.
API Automation Development:
Design, develop, and maintain robust and scalable API automation frameworks using RestAssured and BDD principles.
Write clean, well-documented, and maintainable automation scripts to validate API functionality, performance, and security.
Implement data-driven testing strategies to ensure comprehensive test coverage.
Integrate automation scripts into the CI/CD pipeline for continuous testing.
Collaboration and Communication:
Collaborate closely with developers, product managers, and other stakeholders to understand requirements and ensure testability.
Participate in design and architecture reviews to provide feedback on testability and identify potential quality risks.
Communicate test results and quality metrics to stakeholders in a clear and concise manner.
Work with extended integration partner teams to define and execute exploratory and automated API tests
Quality Assurance and Best Practices:
Establish and enforce QA guidelines, best practices, and standards across the team.
Actively review code to ensure software quality and functional accuracy.
Ensure all code adheres to secure coding practices and meets minimum code coverage requirements.
Stay up-to-date with the latest trends and technologies in API automation and cloud-native testing.
Promote a culture of quality ownership and accountability within the team.
Operational Support:
Handle operational issues with minimal oversight, troubleshooting and resolving problems quickly and effectively.
Build reusable frameworks and integrate SaaS frameworks to improve efficiency and scalability.
Required Skills and Experience:
Experience: 8-12 years of experience in software development and quality assurance, with a strong focus on API automation.
Technical Expertise:
API Automation:
Extensive experience with RestAssured for API testing.
Proficiency in Behavior-Driven Development (BDD) frameworks like Cucumber/Gherkin.
Experience with API testing tools such as Hoppscotch, Postman, Swagger, or ReadyAPI.
Knowledge of API security testing principles and tools (e.g., OWASP).
Java and Spring Boot:
Strong proficiency in Java and related open-source technologies.
Hands-on experience with Spring Boot and Spring Cloud frameworks for building microservices.
Experience with dependency injection, RESTful APIs, and other core Spring concepts.
Cloud Technologies:
Solid understanding of cloud-native technologies and architectures.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.
Familiarity with Google Cloud Platform (GCP) services (e.g., Compute Engine, Cloud Storage, Cloud Functions).
Testing Frameworks and Tools:
Experience with unit testing frameworks like JUnit and TestNG.
Proficiency in using IDEs such as Eclipse or IntelliJ IDEA.
Experience with CI/CD tools like Tekton, Jenkins, GitLab CI, or CircleCI.
Databases:
Basic knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL datastores (e.g., MongoDB, Cassandra).
Experience with data quality testing and working with large datasets.
Version Control and Collaboration:
Proficiency in using version control systems like Git.
Experience with collaborative tools like GitHub, Bitbucket, or GitLab.
Agentic AI Adoption: Experience adopting agentic AI tools and approaches to improve API test design, automation, analysis, and QA productivity.
Other Technologies (Nice to Have):
Knowledge of contract testing using Pact or similar frameworks.
Exposure to performance testing tools like JMeter or Gatling.
Experience with monitoring and logging tools like Prometheus, Grafana, or ELK stack.
Agile Development:
Familiarity with Agile development methodologies (e.g., Scrum, Kanban).
Experience working in Agile teams and participating in sprint ceremonies.
Soft Skills:
Excellent communication, interpersonal, and collaboration skills.
Strong problem-solving and analytical abilities.
Ability to work independently and as part of a team.
Keen to learn the design and architecture of the product and participate in ceremonies that can influence both.
Responsibilities in Detail:
Coding and Development:
Complete coding tasks according to design specifications with the highest quality and within the scheduled time.
Work under the guidance of a Technical Architect, contributing to the overall system design.
Build reusable frameworks and integrate SaaS frameworks to enhance testing capabilities.
Code Quality and Security:
Ensure all code delivered adheres to secure coding practices.
Maintain adequate code coverage, aiming for a minimum of 70%.
Actively review code to ensure software quality and functional accuracy across the team.
Documentation and Reporting:
Develop, document, and maintain test plans, procedures, and scripts.
Use code repositories and tracking systems such as Git, Confluence/SharePoint, and JIRA for documentation, scripts, results, configuration, and supporting data.
Domain Knowledge (Plus):
Good understanding of the eCommerce domain is a plus.
Education:
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum Years of Experience:
8 years
Certifications Needed:
None
About Company
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