Automation Quality Engineer

Purple Drive Technologies; Charlotte (NC); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

Purple Drive Technologies in Charlotte, NC seeks an experienced QA automation engineer to test distributed software systems, APIs, data pipelines, and enterprise apps. You will design, develop, and maintain automated test frameworks and suites across microservices and event-driven architectures.

Mature in CI/CD, Agile, and DevOps practices; you will integrate automated testing into pipelines using tools like Selenium, Playwright, Cucumber, Rest Assured, and Postman, and work with databases and

Qualifications

• 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.
• 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, options, and futures is highly desirable.
• Experience with message queues and streaming platforms such as Kafka, RabbitMQ, IBM MQ, or similar technologies.
• 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.
• Demonstrated problem-solving skills and 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.

Connaissances

Automation testing

Distributed systems

Strong communication

Problem solving

SDLC & DevOps integration

Outils

Cucumber

Selenium

Playwright

Postman

Rest Assured

Kafka

RabbitMQ

IBM MQ

Docker

Kubernetes

JMeter

Gatling

k6

Datadog

Prometheus

Grafana

Splunk

PractiTest

Jira

Xray

Zephyr

Description du poste

• 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.
• 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, options, and futures is highly desirable.
• Experience with message queues and streaming platforms such as Kafka, RabbitMQ, IBM MQ, or similar technologies.
• 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.
• Demonstrated problem-solving skills and 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.