Software Quality Engineer (AI Acceleration Global DevOps)
Job Summary
SOFTWARE QUALITY ENGINEER (AI ACCELERATION GLOBAL DEVOPS)
JOB DESCRIPTION
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team live quality values and principles. The DevOps team is responsible for providing pipelines metrics and tools for use by application development teams. The incumbent will actively participate in gathering quality criteria from the user community developing a backlog of items prioritizing them with the teams and delivering them continually.
WHAT YOU WILL DO
Partner with DevOps Development Product and QE teams to design and execute exploratory automated and AI-focused tests that ensure product quality.
Define quality strategies test plans test cases and test data for functional integration system regression API database and acceptance testing.
Design develop and maintain scalable test automation frameworks using Java Python or Groovy.
Build automated tests for AI-enabled features including prompt behavior response accuracy hallucination risks safety reliability latency and regression coverage.
Validate AI integrations APIs microservices data pipelines model interactions and third-party services.
Establish testing approaches for both deterministic and non-deterministic AI behavior including evaluation datasets expected behavior quality thresholds and repeatability.
Integrate automated testing and AI quality checks into CICD pipelines in partnership with DevOps teams.
Use tools and frameworks such as Selenium CucumberGherkin Playwright RestAssured JUnit TestNG ReadyAPI and JMeter.
Identify document prioritize and track defects through resolution.
Analyze test coverage quality trends AI evaluation results and production feedback to identify gaps and drive continuous improvement.
Collaborate with cross-functional Agile teams to deliver reliable secure and user-focused product features.
Communicate test results risks quality metrics and release recommendations clearly to technical and non-technical stakeholders.
ESSENTIAL SKILLS: WHAT YOU WILL NEED TO SUCCEED
5 years of relevant experience in Quality Engineering Quality Assurance test automation or software development.
5 years of programming experience with Java Python Groovy or a comparable language.
5 years of experience building and maintaining test automation frameworks.
Hands-on experience with Selenium CucumberGherkin Playwright RestAssured or similar automation technologies.
Experience testing functional and non-functional requirements APIs integrations databases microservices and regression suites.
Experience with testing frameworks and tools such as JUnit TestNG qTest ReadyAPI and JMeter.
Understanding of TDD ATDD BDD continuous testing and risk-based testing practices.
Experience testing AI or machine learning-powered applications APIs conversational systems or generative AI features.
Understanding of AI quality concepts such as prompt evaluation grounding accuracy relevance toxicity bias hallucination detection and response consistency.
Ability to create effective test data and evaluation datasets for AI-driven functionality.
Strong analytical problem-solving communication and technical documentation skills.
Ability to work effectively in a fast-paced cross-functional Agile environment.
NICE TO HAVE
Experience with AI evaluation frameworks LLM testing prompt engineering retrieval-augmented generation embeddings or model observability.
Experience with Git Bitbucket Jenkins CICD pipelines Artifactory SonarQube Jira Confluence AWS Kubernetes Maven or Gradle.
Experience testing cloud-native applications and distributed microservice architectures.
Experience with security performance accessibility or reliability testing.
Experience developing automation scripts and reusable testing utilities.
Experience with Tableau or oth
Required Skills:
Java