Blue Acorn iCi

Quality Assurance (QA) Engineer

Posted 20 Days Ago

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Bothell, WA

In-Office

Expert/Leader

eCommerce • Analytics

The Role

The QA Engineer is responsible for ensuring software quality through API and microservices testing, developing automation frameworks, and executing performance tests. The role involves validating data flows, managing defects, and ensuring compliance in various environments.

Summary Generated by Built In

10+ years of experience in Software Quality Assurance and Test Engineering, with at least 5+ years focused on validating microservices-based architectures, data integration platforms, and enterprise-scale distributed systems.
8+ years of experience working in Agile delivery teams, owning end-to-end quality responsibility across the software development lifecycle including requirements validation, test execution, automation, and release certification.
Job Requirements:

API & Microservices Testing: Strong experience validating RESTful APIs and microservices-based architectures including request/response validation, contract testing, schema validation (JSON/XML), versioning, and backward compatibility.
Data Integration Testing: Hands-on experience validating data ingestion pipelines, transformations, data synchronization, and end-to-end source-to-target data flows across integrated systems.
Event-Driven Architecture Validation: Experience testing asynchronous messaging and streaming platforms such as Apache Kafka, including event payload validation, topic monitoring, offset management, and data consistency checks.
Automation Framework Development: Experience building scalable automation frameworks using Selenium, REST Assured, Cypress, Playwright, or similar tools for API and integration-level testing.
CI/CD Test Integration: Integrate automated test suites into CI/CD pipelines using Jenkins, GitLab CI/CD, or CircleCI to enable continuous testing and quality gates.
Test Planning & Execution: Create detailed test plans, test cases, and test scenarios aligned with business requirements, user stories, and technical specifications.
Performance & Load Testing: Execute performance, stress, and scalability testing using tools such as JMeter or Gatling to validate system throughput and reliability.
Defect Management & Root Cause Analysis: Track, triage, and analyze defects using Jira or Azure DevOps and collaborate with engineering teams to drive resolution.
Customer Profile Validation: Validate identity resolution, profile unification logic, and customer attribute accuracy across CDP platforms.
Data Ingestion Validation: Test batch and real-time ingestion from CRM, web, mobile, marketing, and third-party data sources into CDP pipelines.
Segmentation & Activation Testing: Validate audience segmentation rules, activation triggers, downstream integrations, and data delivery to marketing and personalization platforms.
Consent & Privacy Compliance: Test consent enforcement, PII masking, opt-in/opt-out logic, and GDPR/CCPA compliance workflows within CDP environments.
Cross-System Integration Validation: Validate data synchronization between CDP, data warehouses, CRM systems, and downstream activation platforms.
Tools & Technologies:
- API Testing Tools: Postman, REST Assured, SoapUI.
- Automation Tools: Selenium, Cypress, Playwright, TestNG.
- Streaming & Messaging Platforms: Apache Kafka.
- CI/CD Tools: Jenkins, GitLab CI/CD, CircleCI.
- Databases: PostgreSQL, MySQL, MongoDB.
- Version Control: Git for source control of automation and test artifacts.
- Monitoring & Logging: Prometheus, Grafana, ELK stack, Splunk for log analysis and system health monitoring.
Additional Qualifications:
- Cloud Platform Experience: Experience testing distributed systems deployed on AWS, Azure, or Google Cloud Platform.
- Security Testing Awareness: Understanding of OAuth2, JWT, TLS, and API security best practices.
- Containerization & Environment Testing: Familiarity with Docker and Kubernetes environments for test environment validation.
- Problem Solving & Debugging: Strong troubleshooting skills in complex distributed systems and data-driven platforms.
- Collaboration & Communication: Strong communication skills to collaborate with Developers, Product Owners, Data Engineers, and DevOps teams.