Pay Rate: $50-$55
Location: ONSITE Charlotte, NC
Duration: 6 months
Role Title: QA Automation Engineer
Role Descriptions:
Minimum 7 years of professional experience testing distributed software systems, APIs, data pipelines, and enterprise applications. Strong experience designing, developing, and maintaining automated test frameworks and test suites.
Proficiency with automation testing tools and frameworks such as Cucumber, Selenium, Playwright, Power Automate, Rest Assured, Postman, or equivalent technologies.
Strong programming skills in TypeScript/JavaScript, Java and/or Python with the ability to develop automated functional, integration, API, regression, and performance test solutions.
Experience testing microservices-based architectures, event-driven systems, and distributed applications.
Hands-on experience testing REST APIs, WebSocket services, and messaging-based integrations.
Experience validating data movement, transformations, reconciliations, and end-to-end workflows across multiple systems.
Strong SQL skills and experience validating data in relational databases such as PostgreSQL and SQL Server.
Experience testing ETL/data integration workloads, data warehouses, and reporting solutions.
Understanding of trade lifecycle workflows and post-trade processes across asset classes including equities, bonds, Eligible to workions, and futures is highly desirable.
Experience with message queues and streaming platforms such as Kafka, RabbitMQ, IBM MQ, or similar technologies.
Exposure to modern front-end technologies (HTML, CSS, JavaScript, TypeScript, React, Angular) and UI test automation.
Working knowledge of containerization and cloud technologies (Docker, Kubernetes). AWS experience and strong Kubernetes expertise are major pluses.
Proficient in SDLC, DevOps (CI/CD), and Agile methodologies, with experience integrating automated testing into CI/CD pipelines.
Experience with test management and defect tracking tools such as PractiTest, Jira, Xray, Zephyr , or similar platforms.
Familiarity with performance, load, and reliability testing tools such as JMeter, Gatling, k6, or equivalent solutions.
Familiarity with monitoring and observability tools such as Datadog, Prometheus, Grafana, and Splunk.
Excellent problem-solving skills and the ability to troubleshoot complex issues across applications, services, integrations, and data pipelines.
Strong communication skills, capable of effectively collaborating with both technical and non-technical stakeholders.
Demonstrated ability to acquire domain knowledge and derive comprehensive test scenarios, edge cases, and validation strategies from business requirements and technical designs.
Skills: Automated QA - TestComplete
Experience Required: 8-10
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