AI Enabled SDET

Role: AI Enabled SDET
Location: New York, NY, 10004
Term: Full Time

Job Description

Must Have Technical/Functional Skills

What We are Looking for (Must-Have)

Core Engineering

Should have 5-8 years of experience

Expert-level Java and/or Python (OOP, Data Structures, Design Patterns)

Proven experience building automation frameworks from scratch

Hands-on Playwright expertise for modern UI automation

Strong API & integration testing (REST, microservices)

CI/CD experience with automated quality gates (TeamCity, Jenkins, GitHub)

Solid understanding & proficiency with SQL, handling backend stores and performing data validation

Experience validating high-availability, low-latency systems 2

Practical, maintainable BDD implementations.

Technical Skills: Java, Python, GenAI, Prompt Engineering, Playwright, API Testing, Microservices Testing, SQL, CI/CD, Jenkins, GitHub Actions, Test Automation Frameworks, Observability (Logs/Metrics/Traces), AI Evaluation Frameworks, MCP, AI Agents, Spec-Driven Development, Quality Engineering, SDET.

Roles & Responsibilities

About the Role:

The organization is building an Engineering-First Quality Engineering (QE) team focused on developer-grade automation, system reliability and production excellence across mission-critical platforms

This is not a traditional QA role.

We hire developers who engineer quality, not testers who execute scripts.

The candidate is expected to design and build scalable quality engineering solutions, partner deeply with developers and architects, and ensure quality is designed in, automated, observable, and enforced across SDLC.

Key Responsibilities

Quality Engineering & Automation

Build scalable automation frameworks from scratch 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 Microservices, Distributed systems 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 and incident triage.

Reliability & Distributed Systems

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, including validating AI-generated code and tests.

Expertise in prompt engineering and context management.

Proven experience with spec-driven development (SDD).

Experience using and developing agents, skills, and Model Context Protocol (MCP) integrations.

A bility to safely embed AI-assisted QE workflows into CI/CD pipelines.

Strong understanding of responsible AI usage and verification of AI-generated outputs.

Quality Ownership

Experience with release certification, regression strategy, and production validation.

Hands-on experience with incident triage and root cause analysis.

Willingness to support production releases, including on-call rotations.