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Software Engineer in Test

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Coforge
Full Time position
Listed on 2026-08-25
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

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
Must Have Core Engineering
  • 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 (Team City, Jenkins, Git Hub)
  • Solid understanding & proficiency with SQL, handling backend data stores and performing data validation
  • 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
  • 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
  • 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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