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Software Engineer in Test

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Onsite

Software Engineer in Test

Coforge

Software Engineer in Test

Skills

SQL QueriesPythonJavaMicroservicesJenkinsPlaywrightAIGitHub

11 days ago

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Important information


Contract type:

Permanent

Salary:

$120,000 – $130,000 / year

Location:

Alpharetta, GA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job Title: SDET

Experience: 10+ Years

Skills: UI automation, Java / Python, API Testing, Integration Testing, Playwright, Jenkins, GitHub

Location: Alpharetta GA

Job Description:

We at Coforge are hiring SDET with the following skill sets.

Responsibilities:

  • Build scalable automation frameworks across UI, API, integration & event‑driven layers
  • Act as a quality architect, influencing system design, testability & release readiness
  • Embed automated quality gates into CI/CD pipelines
  • Engineer quality for distributed systems, microservices, and high‑availability platforms
  • Leverage AI / GenAI to accelerate test design, automation development, evaluation, and debugging
  • Practice Spec‑Driven Development (SDD) to align specifications, implementation, and validation
  • Own end‑to‑end production quality, including release certification & incident triage

Must Have

Core Engineering

  • Expert‑level Java / Python (OOP, data structures, design patterns)
  • Proven experience building automation frameworks from scratch
  • Hands‑on Playwright experience for modern UI automation
  • Strong API and integration testing (REST, microservices)
  • CI/CD experience with automated quality gates (TeamCity, Jenkins, GitHub)
  • Solid understanding & proficiency with SQL, handling backend data stores and performing data validation
  • Experience validating high‑availability, low‑latency systems
  • Practical, maintainable BDD implementations

Distributed Systems & Reliability

  • Strong understanding of microservices and event‑driven architectures
  • Experience with performance, load, stress, and resilience testing
  • Ability to debug using logs, metrics, and traces
  • Using production telemetry to guide quality strategy

AI‑Driven & Spec‑Driven Engineering (Must‑Have)

  • Hands‑on use of AI / GenAI tools for test design, automation coding, and debugging
  • Strong AI evaluation skills—validating AI‑generated code and tests
  • Expertise in prompt engineering and context management
  • Proven Spec‑Driven Development (SDD) experience
  • Experience using and developing Agents, Skills and Model Context Protocol (MCP) integrations
  • Ability to embed AI‑assisted QE workflows safely into CI/CD
  • Strong understanding of responsible AI usage and verification of AI outputs

Quality Ownership

  • Experience with release certification, regression strategy, and production validation
  • Hands‑on incident triage and root‑cause analysis
  • Willingness to support production releases, including on‑call rotations

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