Automation QA Engineer

format:Remote

javacucumbertddci/cdrest-apimicroservicesreactdata pipelineseltetlany one ofeltapache sparkdatabricksplaywrighttypescriptmavensonarqubejenkinsteamcityany one ofjenkinsdocker

ai agents

englishB2

experience5+ years

domainFintech

> full description

This position requires candidates to be based in the EU.

Role Overview

We are looking for a Senior QA Engineer with a focus on automation and manual testing. The role involves ensuring product quality across functional, API, automation, and performance testing, as well as maintaining and improving automated test coverage. You will also have an opportunity to leverage AI tools to support test creation and improve QA processes. The company operates in the FinTech industry and specializes in alternative investments.

More information about us — [meet INSART]

Role Responsibilities

The role may involve up to 40–50% manual testing, while the rest will be focused on test automation, including AI-generated tests where appropriate. The exact balance may vary depending on project needs.
Integration of automated test suites with the current build and deployment processes.
Maintenance of automated tests to accommodate changes in system design and architecture.
Integration of Automation framework with existing tools (JIRA).
Create/Manage/Utilize Defect workflows with automated test execution.
Design and publish meaningful metrics to support automation test creation and execution.
Build and implementation of performance test suites.
Perform all types of testing — Functional, API, Automation, Manual and Load, including necessary manual validation where required.

Role Requirements

5+ years of experience with QA engineering delivery experience
4+ years of delivery within Agile SDLC/teams ideally with CICD
Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD), including hands-on experience for backend automation
Experience with Java microservices and REST APIs and exposure to React front end
Strong experience in data engineering, including data pipelines, ETL/ELT processes, and big data processing
Hands-on experience with Apache Spark, Databricks, and distributed computing environments
Experience designing and implementing streaming data processing solutions and scalable data platforms
Experience with Playwright and TypeScript
Agile development approach
CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
AI Integration experience preferred
Exposure to banking and/or finance environments preferred
Strong communication skills: English B2+

Interview Process