Quality Engineer

Job_Description":" AboutPropel At Propel, we dont justbuild software \we build future-ready, human-centered digital platforms thatdrive business transformation. We are a design-led technology firm committed tosolving complex problems with elegant, scalable solutions. Join a workplacewhere your ideas matter, your expertise is valued, and your growth is championed. Aboutthe Role As a Quality Engineer atPropel, you will play a critical role in ensuring the quality, reliability, andperformance of complex data pipelines and cloud-native applications. You willdesign and maintain automated test frameworks, perform deep system validations,and collaborate closely with engineering teams to continuously improve productquality and delivery standards. This role is ideal forexperienced QA professionals who combine strong automation expertise withhands-on cloud and data validation experience. KeyResponsibilities Design, develop, and maintain automated test suites using TypeScript andPlaywright. Perform performance testing and validation of large-scale datapipelines. Validate data accuracy, consistency, and integrity across multiplesystems. Write and optimize complex SQL queries for test validation and dataverification. Perform end-to-end testing across backend services, APIs, andcloud-based applications. Monitor application performance and investigate system issues usingAzure tools such as Azure Portal, Application Insights, Azure Monitor, andcontainer logs. Track, analyze, and improve code quality metrics to strengthen QAprocesses and standards. Collaborate with developers, DevOps, and product teams to identify risksand improve test coverage. Perform root cause analysis for defects and production issues. Ensure continuous quality improvement through automation best practicesand process optimization. WhatWe\re Looking For 7+ years of professional experience in Quality Assurance with strongexpertise in both manual and automated testing. Proven hands-on experience in automation testing using TypeScript andPlaywright. Strong experience in performance testing, especially for data pipelinesand backend systems. Excellent SQL skills with experience writing complex queries (Snowflakeexperience is a plus). Strong working knowledge of Microsoft Azure ecosystem including AzurePortal, Application Insights, Containers, and monitoring tools. Experience investigating application-level issues using logs, metrics,and monitoring dashboards. Familiarity with C# is an added advantage. Strong ownership mindset with the ability to work independently andproactively. Excellent written and verbal communication skills in English with clearand concise communication style. Preferred Experience testing cloud-native and microservices-based architectures. Exposure to CI/CD pipeline integration for automated testing. Experience with test reporting dashboards and quality metrics tooling. Familiarity with data platform testing practices and large-scaleanalytics systems. WhatWe Offer APurpose-Driven Mission We believe in usingtechnology as a force for good\designing scalable, data-driven systems thatenable smarter decisions and meaningful impact across industries. Empowered& Inclusive Culture Our open and collaborativeculture ensures your ideas matter. You\ll have the autonomy to design solutionswhile working closely with highly skilled teams. Learning& Growth at the Core From mentorship andcertifications to hands-on exposure to modern data platforms, we invest deeplyin your professional growth. Innovationwith Impact You\ll work on modern dataplatforms and cloud-native architectures, helping clients unlock insightsthrough automation, analytics, and intelligent systems. Well-beingMatters We prioritize work-lifeharmony, psychological safety, and policies that support your mental, physical,and professional well-being. Others: Common application/ web security and OWASP vulnerabilities Encryption algorithms to protect sensitive information PII, PCI, HIPPA, and GDPR compliance and how to implement Finding the vulnerabilities of the third-party components/ libraries Understanding security breaches of data-in-transit and data-at-rest andits implementation ","