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Software Engineer in Test

Job in Englewood Cliffs, Bergen County, New Jersey, 07632, USA
Listing for: Groupe Kardol
Full Time position
Listed on 2026-09-23
Job specializations:
  • Quality Assurance - QA/QC
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Hiring Senior QA Automation Lead Engineer, Englewood Cliffs, NJ - onsite 5 days a week, Full time, NO C2C

Job Description Experience : 10+ yrs

We are seeking a Senior QA Automation Lead Engineer with a strong QE mindset and proven hands‑on automation experience to drive quality engineering for a modern e-commerce platform built on microservices architecture. This role requires building automation capabilities from the ground up, embedding testing into CI/CD pipelines, and taking ownership of automation execution across the QE function while remaining actively hands‑on.

Key Responsibilities
  • Lead and execute QA automation efforts for large-scale e-commerce applications supporting high-traffic, transactional workflows.

Design, build, and maintain automation test suites from scratch, including UI, API, and end-to-end coverage.

  • Convert manual testing workflows into scalable, maintainable automated tests.
  • Implement end-to-end automation integrated with microservices-based CI/CD pipelines to enable continuous deployment.
  • Integrate automation suites with Git Lab CI/CD, including parallel execution and pipeline-level quality gates.
  • Collaborate closely with engineering, Dev Ops, and product teams to embed quality throughout the SDLC.
  • Define and enforce automation standards, test strategy, and coverage expectations.
  • Provide hands‑on guidance and support to QE engineers on automation implementation.
  • Drive shift‑left testing practices and early defect detection.
  • Ensure automation stability, reliability, and fast feedback in CI pipelines.
  • Take full ownership of automation implementation, maintenance, and outcomes.
  • Hands‑on ownership of smoke test automation and load/performance testing, including executing dry runs in production environments as needed to validate system readiness and stability.
  • Build, maintain, and support synthetic monitoring using observability platforms such as New Relic, Datadog, or equivalent, and participate in on‑call support rotations as required to ensure system health and rapid issue response.
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