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SDET - AI

Advent Global Solutions, Inc.New York, NY🇺🇸United StatesPosted 14 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
23 hours ago
MicroservicesSQLTeamCityGitHub ActionsJavaJenkinsPlaywrightPythonREST

Job Description

Title: AI-Enabled SDET (Quality Architect)

Location: New York, NY (Hybrid: 3 Days In-Office)

Interview Process: Includes an In-Person / Face-to-Face Interview Round

About the Role

We are seeking an AI-Enabled Software Development Engineer in Test (SDET) to join an Engineering-First Quality Engineering team. This is not a traditional QA role—we hire software engineers who build robust automation systems, system testability, and production reliability into mission-critical platforms.

You will lead the creation of scalable automation solutions from scratch, embed AI/GenAI into engineering workflows, and design quality enforcement into every phase of the SDLC.

Core Responsibilities

  • Automation Engineering: Build scalable, developer-grade automation frameworks across UI (Playwright), REST APIs, microservices, and event-driven architectures.

  • AI & Spec-Driven Engineering: Leverage GenAI tools, prompt engineering, agentic workflows, and Model Context Protocol (MCP) integrations to accelerate test design, evaluation, and automated pipeline verification.

  • CI/CD Quality Gates: Embed automated tests, quality gates, and evaluation frameworks directly into continuous integration pipelines (GitHub Actions, Jenkins, TeamCity).

  • System Observability & Reliability: Debug complex distributed systems using logs, metrics, and traces; participate in release certifications, incident triage, and production validation.

Minimum Requirements

  • Experience: 5–10 years in software engineering, test automation, or SDET roles.

  • Core Languages: Expert-level proficiency in Java or Python (OOP, Data Structures, Design Patterns).

  • UI & API Automation: Hands-on expertise with Playwright, REST APIs, and SQL backend validation.

  • Modern AI Tech: Experience with Prompt Engineering, AI Agents, Model Context Protocol (MCP), and AI Evaluation Frameworks.

  • DevOps & Pipeline Tools: Practical experience with GitHub Actions, Jenkins, TeamCity, and CI/CD quality gate enforcement.

  • On-Site Requirement: Willingness to work in the New York City office 3 days per week and attend a face-to-face interview in NYC.

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