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Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We’re looking for a Senior QA Automation Engineer to join our growing R&D team to design, build, and own our automated testing framework and quality processes from the ground up. This role is highly hands-on and strategic, with a strong influence on how quality is embedded across the entire development lifecycle. You will work closely with engineering, product, and DevOps teams to ensure high-quality, reliable releases through scalable test automation and well-defined QA practices. Your Arena
* Design and implement a QA automation framework from scratch using Node.js, TypeScript, Playwright, and Cucumber
* Define and establish QA processes, standards, and best practices across teams.
* Build and maintain end-to-end, integration, and regression test suites
* Integrate automated tests into CI/CD pipelines and release workflows.
* Collaborate with developers and product managers to define test strategies and acceptance criteria
* Drive a shift-left testing approach , embedding quality early in the development process.
* Own test environments, test data strategy, and execution stability.
* Analyze test results, track quality metrics, and proactively identify risk areas.
* Mentor developers and other QA engineers on automation and quality practices.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
We are a data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.