Lead QA Engineer (JavaScript)

Location-specific conditions & benefits*

Colombia

We are seeking a highly skilled and proactive Lead QA Engineer with JavaScript expertise to join our team.

In this role, you will focus on creating robust automated testing suites for Data Science Studio applications such as Dataiku and Spotfire, integrating these tests into our CI/CD pipeline, and ensuring quality assurance standards are upheld. This position provides an opportunity to work with advanced technologies in a dynamic and collaborative setting.

Responsibilities

Define and manage comprehensive test plans to uphold product quality
Establish testing strategies aligned with release timelines
Create automated test suites using Cypress, Selenium, and related tools
Conduct unit, smoke, and end-to-end tests across varied environments
Integrate automated tests into CI/CD pipelines through Azure DevOps and ArgoCD
Collaborate with developers and portfolio teams to document issues clearly
Maintain scalability of automated testing across GCP/GKE/AKS environments
Ensure test coverage for applications developed in Python, JavaScript, and Go
Utilize testing tools such as helm test, pytest, and Swagger effectively
Coordinate with cross-functional teams to resolve technical challenges and sustain workflow
Evaluate and enhance testing procedures for greater efficiency
Promote quality standards throughout the development lifecycle

Requirements

5+ years of experience in automation testing with expertise in JavaScript, Cypress, Selenium, and Node.js
Competency in integrating CI/CD pipelines with automation frameworks like Azure DevOps and ArgoCD
Familiarity with Kubernetes, Docker, and Linux environments for testing and deployment
Knowledge of testing tools such as helm test, pytest, and Swagger
Strong communication skills for working with technical and non-technical stakeholders
Background in designing test cases and utilizing test management tools like Azure DevOps
Analytical abilities and organizational skills for task prioritization and problem-solving
Familiarity with methods such as unit testing, smoke testing, and end-to-end testing
Proficiency in Python, JavaScript, Go, and frameworks like Cucumber

Nice to have

Understanding of data science tools like Dataiku and Spotfire
Capability to work with CI/CD tools including Docker and Node.js
Background in testing applications deployed on cloud platforms like GCP or GKE
Expertise in Go Core applied to testing functionalities
Familiarity with data science workflows and integration of analytical tools

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