We are looking for a seasoned Senior Automation QA / SDET with strong programming and automation skills to build and maintain scalable, robust test frameworks. The ideal candidate should have experience in both UI and API test automation, with a keen eye for detail, solid debugging ability, and the drive to ensure product quality throughout the SDLC.
Job listings
The QA Engineer will help ensure the quality of our cross-border payment solutions, working closely with the development team to test both our mobile application (iOS, Android) and backend APIs. The role involves hands-on automation and manual testing to ensure high product quality in a fast-paced environment with many technical challenges. This is an opportunity to work on meaningful financial products with complex integrations, diverse user needs, and high demands for reliability.
Be part of a team that is delivering comprehensive software testing support for the USPS Artificial Intelligence Virtual Assistant ( AVIA ) Program. Test Engineer candidates must have strong communication skills, a passion for testing, and a desire to learn new technologies on high-profile projects. The candidate will collaborate with USPS AIVA personnel to create and implement a tailored testing strategy that aligns with the AIVA Team's objectives and goals.
As a Senior QA Automation, you will lead the strategy and execution of our quality assurance initiatives. Your expertise will be crucial in shaping the testing processes that ensure our software products maintain the highest levels of quality and performance. By collaborating with cross-functional teams, you will drive our efforts to achieve excellence in delivery while fostering a culture of continuous improvement.
Our Software Engineers in Test are embedded alongside developers, using our latest in-house automation framework in Java to create reliable and comprehensive automation tests. Teams rely on flexible but standardized processes to ensure test coverage, feature quality, and regression checks. You will develop automation in existing tools and frameworks and extend those tools and frameworks as necessary. You will also create and execute test plans and cases.
Conduct performance and engineering in AWS-based environments. Develop and execute automated performance test scripts using JMeter and Performance Center. Perform load, stress, volume, and endurance testing to evaluate system scalability and reliability. Monitor production systems using New Relic, Splunk, and Amazon CloudWatch to identify and resolve issues. Create dashboards and alerts to proactively detect performance anomalies. Analyze test results, document findings, and generate performance summary reports. Collaborate with development and DevOps teams to resolve performance bottlenecks.