Senior QA Engineer (JavaScript)

Location-specific conditions & benefits*

Colombia

We are seeking a dedicated and skilled Senior QA Engineer with proficiency in JavaScript to become a part of our team.

In this role, you will focus on creating robust automated test suites for Data Science Studio applications such as Dataiku and Spotfire, integrating these tests into our CI/CD pipeline, and advocating for quality assurance best practices. This position offers an opportunity to engage with cutting-edge technologies in a highly collaborative and dynamic environment.

Responsibilities

Define detailed test plans to maintain product quality
Plan strategic testing approaches aligned with release timelines
Develop automation frameworks using Cypress, Selenium, and related tools
Execute unit tests, smoke tests, and end-to-end tests across diverse platforms
Integrate automation workflows into CI/CD pipelines leveraging Azure DevOps and ArgoCD
Coordinate with development and portfolio teams to document and address issues effectively
Streamline automated testing processes across GCP/GKE/AKS environments for scalability
Ensure broad test coverage for products developed in Python, JavaScript, and Go
Apply helm test, pytest, and Swagger for application verification
Ensure seamless communication with cross-functional teams to address technical obstacles
Maximize testing process efficiency and ensure timely project delivery
Encourage adherence to quality standards throughout all project phases

Requirements

3+ years of experience in automation testing with a programming background in JavaScript, Cypress, Selenium, and Node.js
Professional knowledge of CI/CD pipelines integrated with automation frameworks like Azure DevOps and ArgoCD
Competency in Kubernetes, Docker, and Linux for deployment and testing environments
Expertise in tools such as helm test, pytest, and Swagger
Strong interpersonal and communication skills to collaborate with varied technical and non-technical teams
Background in developing test cases with tools like Azure DevOps
Analytical thinking and effective problem-solving abilities
Familiarity with unit testing, smoke testing, and end-to-end testing processes
Proficiency in programming technologies such as Python, JavaScript, Go, and Cucumber

Nice to have

Knowledge of data science tools including Dataiku or Spotfire
Understanding of additional CI/CD technologies such as Docker and Node.js
Background in testing workflows within cloud platforms like GCP or GKE
Proficiency in Go Core for validating testing frameworks
Competency in data science workflows integrated with analytical solutions

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn