Sr/Lead QA Automation Engineer
Salary undisclosed
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Job Description
- We are seeking a highly experienced QA Automation Engineer with 10+ years of experience to lead automated testing efforts for our microservices ecosystem. This role requires hands-on expertise in testing service contracts, Level 2/Level 3 APIs, and the ability to apply Domain-Driven Design (DDD) principles within the testing strategy. You will collaborate with product managers, architects, and developers to ensure our microservices are reliable, scalable, and meet both functional and non-functional requirements.Key ResponsibilitiesAutomation Framework Development
- Design, develop, and maintain comprehensive test automation frameworks for microservices, focusing on integration, contract, and end-to-end testing.
- Ensure tests are reliable, repeatable, and easily maintainable across multiple services and deployment pipelines.
- API and Service Contract Testing
- Collaborate with architects and developers to validate service contracts, ensuring that services adhere to agreed-upon schemas, versioning standards, and performance benchmarks.
- Implement and maintain API test suites (Level 2 and Level 3) using tools such as Postman, REST Assured, Karate, or similar.
- Perform contract testing (e.g., Pact) to ensure compatibility and integration quality across the microservices landscape.
- DDD-Aligned Test Scenarios
- Understand and apply Domain-Driven Design concepts in test scenario creation.
- Work with business analysts and domain experts to translate bounded contexts and ubiquitous language into testable requirements and acceptance criteria.
- Continuous Integration / Continuous Delivery (CI/CD)
- Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps) to ensure rapid and reliable feedback on code changes.
- Monitor and optimize pipeline performance, identifying bottlenecks and proposing improvements.
- Quality Metrics and Observability
- Define, track, and report on critical quality metrics (e.g., test coverage, pass/fail rates, defect density).
- Collaborate with DevOps and SRE teams to integrate testing with monitoring and logging solutions for better test observability and quicker root-cause analysis.
- Performance and Reliability Testing
- Develop and execute performance/load/stress tests to ensure microservices meet SLAs and can scale effectively under heavy load.
- Investigate and address reliability issues, working closely with development teams to identify root causes and recommend fixes.
- Collaboration and Mentorship
- Mentor junior QA engineers on best practices in automated testing, DDD, and API testing.
- Facilitate knowledge sharing sessions to improve the overall testing capabilities across teams.
- Risk Identification and Mitigation
- Proactively identify testing gaps or potential risk areas in the microservices architecture (e.g., overlapping data models, insufficient test coverage in boundary cases).
- Collaborate with product managers and technical leads to prioritize testing efforts and mitigate project risks early.
- QualificationsEducation & Experience
- Bachelor s or Master s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent work experience).
- 10+ years of QA/testing experience, including 5+ years specifically in test automation for microservices or complex distributed systems.
- Technical Expertise
- Proven track record in microservices testing: integration, contract (Pact or equivalent), and end-to-end testing.
- In-depth knowledge of Level 2/Level 3 API design and relevant testing methodologies.
- Experience applying Domain-Driven Design principles to testing strategies and test cases.
- Proficiency with automation tools/frameworks (e.g., Java-based frameworks, Python-based frameworks, Selenium/Cypress for UI, REST Assured, Postman, QTest, etc.).
- Familiarity with cloud-native environments (AWS, Azure, Google Cloud Platform) and container orchestration (Kubernetes).
- CI/CD and DevOps Familiarity
- Hands-on experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.) and version control systems (Git).
- Basic knowledge of infrastructure as code (Terraform, Ansible) and configuration management is a plus.
- Testing Mindset & Best Practices
- Strong understanding of SDLC and various testing levels (unit, integration, system, acceptance, performance).
- Expertise in Agile/Scrum methodologies, ability to align testing with iterative development cycles.
- Soft Skills
- Excellent communication skills, both written and verbal, to collaborate effectively across technical and non-technical teams.
- Strong analytical thinking, with an eye for detail in identifying test cases and spotting potential edge cases.
- Ability to mentor and coach junior team members, fostering a culture of continuous improvement.
- Bonus Skills
- Experience with BDD tools (e.g., Cucumber, SpecFlow) for bridging business requirements and test cases.
- Knowledge of performance testing tools (e.g., JMeter, Gatling, Talos,K6).
- Familiarity with security testing or chaos engineering is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Job Description
- We are seeking a highly experienced QA Automation Engineer with 10+ years of experience to lead automated testing efforts for our microservices ecosystem. This role requires hands-on expertise in testing service contracts, Level 2/Level 3 APIs, and the ability to apply Domain-Driven Design (DDD) principles within the testing strategy. You will collaborate with product managers, architects, and developers to ensure our microservices are reliable, scalable, and meet both functional and non-functional requirements.Key ResponsibilitiesAutomation Framework Development
- Design, develop, and maintain comprehensive test automation frameworks for microservices, focusing on integration, contract, and end-to-end testing.
- Ensure tests are reliable, repeatable, and easily maintainable across multiple services and deployment pipelines.
- API and Service Contract Testing
- Collaborate with architects and developers to validate service contracts, ensuring that services adhere to agreed-upon schemas, versioning standards, and performance benchmarks.
- Implement and maintain API test suites (Level 2 and Level 3) using tools such as Postman, REST Assured, Karate, or similar.
- Perform contract testing (e.g., Pact) to ensure compatibility and integration quality across the microservices landscape.
- DDD-Aligned Test Scenarios
- Understand and apply Domain-Driven Design concepts in test scenario creation.
- Work with business analysts and domain experts to translate bounded contexts and ubiquitous language into testable requirements and acceptance criteria.
- Continuous Integration / Continuous Delivery (CI/CD)
- Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps) to ensure rapid and reliable feedback on code changes.
- Monitor and optimize pipeline performance, identifying bottlenecks and proposing improvements.
- Quality Metrics and Observability
- Define, track, and report on critical quality metrics (e.g., test coverage, pass/fail rates, defect density).
- Collaborate with DevOps and SRE teams to integrate testing with monitoring and logging solutions for better test observability and quicker root-cause analysis.
- Performance and Reliability Testing
- Develop and execute performance/load/stress tests to ensure microservices meet SLAs and can scale effectively under heavy load.
- Investigate and address reliability issues, working closely with development teams to identify root causes and recommend fixes.
- Collaboration and Mentorship
- Mentor junior QA engineers on best practices in automated testing, DDD, and API testing.
- Facilitate knowledge sharing sessions to improve the overall testing capabilities across teams.
- Risk Identification and Mitigation
- Proactively identify testing gaps or potential risk areas in the microservices architecture (e.g., overlapping data models, insufficient test coverage in boundary cases).
- Collaborate with product managers and technical leads to prioritize testing efforts and mitigate project risks early.
- QualificationsEducation & Experience
- Bachelor s or Master s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent work experience).
- 10+ years of QA/testing experience, including 5+ years specifically in test automation for microservices or complex distributed systems.
- Technical Expertise
- Proven track record in microservices testing: integration, contract (Pact or equivalent), and end-to-end testing.
- In-depth knowledge of Level 2/Level 3 API design and relevant testing methodologies.
- Experience applying Domain-Driven Design principles to testing strategies and test cases.
- Proficiency with automation tools/frameworks (e.g., Java-based frameworks, Python-based frameworks, Selenium/Cypress for UI, REST Assured, Postman, QTest, etc.).
- Familiarity with cloud-native environments (AWS, Azure, Google Cloud Platform) and container orchestration (Kubernetes).
- CI/CD and DevOps Familiarity
- Hands-on experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.) and version control systems (Git).
- Basic knowledge of infrastructure as code (Terraform, Ansible) and configuration management is a plus.
- Testing Mindset & Best Practices
- Strong understanding of SDLC and various testing levels (unit, integration, system, acceptance, performance).
- Expertise in Agile/Scrum methodologies, ability to align testing with iterative development cycles.
- Soft Skills
- Excellent communication skills, both written and verbal, to collaborate effectively across technical and non-technical teams.
- Strong analytical thinking, with an eye for detail in identifying test cases and spotting potential edge cases.
- Ability to mentor and coach junior team members, fostering a culture of continuous improvement.
- Bonus Skills
- Experience with BDD tools (e.g., Cucumber, SpecFlow) for bridging business requirements and test cases.
- Knowledge of performance testing tools (e.g., JMeter, Gatling, Talos,K6).
- Familiarity with security testing or chaos engineering is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job