SDET

TalentOla View all jobs
Berkeley Heights, NJ, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Testing (Software) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cluster Analysis Software Quality Database Testing Software Debugging
+21 more
JSON Microsoft UI Automation E2e Testing SonarQube SQL Databases Test Data Test Execution Engine TypeScript Extensible Markup Language (XML) Agentic-AI Git Gitlab-ci Gherkin Playwright Restful APIs Cucumber (Software) Api Management Docker SDET Jenkins Microservices

Job description

  • Design and develop automation frameworks using Playwright with JavaScript/TypeScript
  • Create and execute UI, API, and End-to-End automated test scripts
  • Build reusable automation components and libraries
  • Integrate automation suites with CI/CD pipelines
  • Perform test execution analysis, debugging, and defect reporting
  • Collaborate with Agile development teams during sprint and release cycles
  • Enhance automation coverage and improve release quality through AI-enabled testing solutions

Requirements

  • 8-10 years of Software Testing and QA Automation experience
  • Strong hands-on expertise in:

  • Playwright
  • JavaScript
  • TypeScript

  • UI Automation Testing
  • API Testing
  • End-to-End Testing
  • REST API Testing
  • JSON/XML Validation
  • CI/CD Pipelines (Jenkins, GitLab CI, Azure DevOps)
  • Git Version Control
  • BDD Frameworks (Cucumber, Gherkin)
  • Agile/Scrum Methodologies
  • Strong debugging and troubleshooting skills

Preferred Skills

  • SDET background
  • Docker and containerized test execution
  • AWS or Azure Cloud Platforms
  • SQL and Database Testing
  • Microservices Testing
  • Performance or Security Testing
  • SonarQube and Code Quality Tools
  • AI-powered Test Automation solutions
  • Agentic AI workflows, including:

  • Automated Test Case Generation
  • Self-healing Locators
  • Root Cause Analysis
  • Intelligent Failure Clustering
  • Test Data Generation
  • Requirement-to-Test Traceability

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

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Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Adopting modern end-to-end testing for automated deployment pipelines

Luise Freese Luise Freese +1 · Coffee With Developers

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Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · World Congress 2025

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Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

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Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

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