
software development engineer at test ( SDET ) CONTRACT
at Fintech MNC
● Contribute to quality processes and improvements within the Software Platform Team
● Collaborate with developers and QA engineers on geographically-diverse teams to ensure the
quality implementation of application features, E2E
● Ensure proper test coverage and testability within development sprints
● Participate in QA sprint planning within the Software Platform Team
● Contribute to the development and maintenance of automation tests and frameworks
● Escalate defect reports and critical issues
● Work closely with the technical project managers to prioritize defect resolution
WE'RE LOOKING FOR SOMEONE WITH:
● BS in Computer Science or equivalent
● Minimum of 3 years of experience as a QA Engineer, preferably at an enterprise SaaS
organization, with working experience as a software development engineer in test (SDET)
● Minimum of 2 years of experience testing the Data Layer specifically
● Strong knowledge of a full tech stack and strong debugging skills
● Experience in REST API testing, both automated and manual
● Experience with testing SOA and microservices applications
● Experience in writing scripts or programs to analyze/validate large data sets
● Proficient in QA methodology and process (Agile testing experience preferred)
● Proficient in SQL: query, inserts and updates
● Experience with testing ETLs
● Strong communication skills: must be able communicate with other functional teams to coordinate
systems integration testing requirements
● Ability to convert complex business, technical requirements, use cases, and user stories to test
cases and test plans
● Hands-on experience with defect management tools such as Jira
PLUSES:
● Personal or professional experience with Robo-Advising/FinTech Products is highly desired
● Specific QA experience in a startup environment culture
● Experience with queuing/messaging systems (RabbitMQ, Kafka, etc.)
● Experience with time series or document databases
● Experience in performance engineering/testing of scalable systems

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