LETITBEX AI
Website:
letitbexai.com
Job details:
Job Description: We are looking for a skilled and detail-oriented **QA Engineer** with strong experience in the **Retail Automotive** domain and **cloud-native environments**. The ideal candidate will be responsible for designing, developing, and executing manual and automated test strategies across web applications, APIs, cloud-native microservices, and integration layers. You will play a key role in ensuring product quality across our digital retail and automotive platforms deployed on modern cloud infrastructure.
## **Key Responsibilities**
- Design, develop, and maintain **automated test frameworks** using Selenium, Playwright, or equivalent tools
- Write and execute **BDD test scenarios** using Cucumber (Gherkin syntax) for integration and end-to-end testing
- Perform comprehensive **API testing** (REST/GraphQL) using tools like Postman, REST Assured, or similar
- Develop and execute **integration test suites** to validate data flow across microservices, catalogs, and search platforms
- Test **cloud-native applications** deployed on **Kubernetes (GKE/EKS/AKS)**, Cloud Run, Cloud Functions, or equivalent serverless platforms
- Validate **event-driven architectures** using Pub/Sub, Kafka, or similar messaging systems
- Test **containerized microservices** (Docker) across staging and production-like environments
- Monitor and validate application behavior using **cloud-native observability tools** (Cloud Logging, Cloud Monitoring, Prometheus, Grafana, Datadog)
- Collaborate with developers, DevOps, platform engineers, product managers, and business analysts to understand requirements and define test acceptance criteria
- Identify, document, and track defects using tools like JIRA, Azure DevOps, or equivalent
- Participate in **sprint planning, grooming, and retrospectives** in an Agile/Scrum environment
- Perform **regression, smoke, and sanity testing** across releases
- Validate data integrity across **product catalogs, fitment data, pricing, and inventory systems** in the automotive retail domain
- Contribute to **CI/CD pipelines** by integrating automated tests (Jenkins, GitHub Actions, Azure Pipelines, Cloud Build)
- Provide test metrics, reports, and quality dashboards to stakeholders
## **Must-Have Skills**
| **Programming** | Proficient in at least one language: **Java, Python, JavaScript, or TypeScript** |
| **UI Automation** | Hands-on experience with **Selenium WebDriver** or **Playwright** |
| **BDD Framework** | Strong experience with **Cucumber** for integration testing |
| **API Testing** | Solid understanding of **REST API testing** using Postman, REST Assured, or similar |
| **Cloud Native** | Hands-on experience testing applications on any of the mentioned Cloud **GCP, AWS, or Azure** |
| **Containers & Orchestration** | Experience with **Docker** and **Kubernetes** based deployments |
| **Version Control** | Proficient with **Git** (GitHub, GitLab, or Bitbucket) |
| **Agile** | Experience working in **Agile/Scrum** teams |
| **Defect Management** | Experience with JIRA or equivalent tools |
## **Cloud-Native Skills (Required)**
| Area | Requirement |
|------|-------------|
| **Cloud Platforms** | Hands-on experience with at least one: **Google Cloud Platform (GCP)**, AWS, or Azure |
| **Compute** | Testing applications on **GKE, Cloud Run, Cloud Functions, EKS, Lambda**, or equivalent |
| **Messaging & Events** | Experience testing **event-driven systems** using Pub/Sub, Kafka, EventBridge, or similar |
| **Data & Storage** | Familiarity with testing against **BigQuery, Cloud SQL, Firestore, Cloud Storage, S3**, or equivalent |
| **CI/CD** | Experience integrating tests in **Cloud Build, GitHub Actions, Jenkins, ArgoCD**, or similar |
| **Observability** | Ability to use **Cloud Logging, Cloud Monitoring, Prometheus, Grafana**, or Datadog for test validation and debugging |
## **Domain Knowledge (Preferred)**
- Understanding of **automotive parts catalog** workflows (search, fitment lookup, part compatibility)
- Experience testing **e-commerce/retail platforms** (product search, cart, checkout, pricing)
- Familiarity with **B2B and B2C retail** business models
- Knowledge of **product data pipelines** (import, transformation, enrichment) on cloud-native infrastructure
- Experience with **cloud-based search and recommendation engines** (Retail Search, Vertex AI, Elasticsearch)
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