QA Automation Lead

The project is a leading global consulting company providing services to enterprise customers across multiple industries.
Organizations from finance media technology and public sectors rely on the Clients platforms and services.

Project Description:
The analytics engineering team is a high-impact engineering and analytics group focused on building scalable tools that help organizations identify growth opportunities optimize strategy and improve business performance.
The mission of the team is to transform complex data into actionable insights through modern technologies and close collaboration with business stakeholders.

Project Phase: ongoing

Project Team:
QA Engineers Product Managers Automation Engineers Technologists

Soft Skills: Team Leadership mindset and behaviour

Hard Skills / Must Have:
Strong expertise in QA methodologies defect management and quality metrics
Minimum 5 years of relevant experience preferably in enterprise or SaaS environments
Ability to align testing strategies with business goals and data-driven workflows
Strong communication and collaboration skills within Agile teams
Highly proficient in JIRA
Version control (Git GitHub) branching and PR workflows
CI/CD concepts and pipeline familiarity (GitHub Actions pipelines)
Agile/Scrum familiarity (sprint planning retrospectives)
Docker for local or containerized test execution
Experience with multiple environment management (Alpha/Beta/Prod)
Allure reporting and test artifact analysis
Strong analytical and documentation skills
Experience contributing to automation frameworks and CI/CD pipelines
Familiarity with performance and reliability testing concepts
Experience with AI-assisted testing tools
Understanding of financial data validation and model integrity (CAGR Excel comparisons)
TypeScript Playwright async/await Page Object Model (POM)
Playwright Track (Modern Stack)
Git/GitHub CI/CD with GitHub Actions Docker Allure reporting
Selenium Track (Enterprise Stack)
Responsibilities and Tasks:
Support ongoing quality assurance across data-intensive web applications and microservice-based platforms
Work with multiple UI and API testing frameworks
Maintain existing automated test suites across mature technology stacks
Contribute to forward-looking automation initiatives on modern stacks
Collaborate with Product Managers and technologists

Technolgy Stack: Java 17 Selenium 4.x JUnit 5 Maven advanced POM design; Allure reporting REST Assured (for API validation) Docker; API Track (Service Layer Automation); Python 3.9 Pytest REST API testing requests library JSON/YAML; Authentication flows (Bearer/OAuth2) Dockerized test execution

English: upper-intermediate

Location:




Ready to Join
We look forward to receiving your application and welcoming you to our team!