Senior QA Automation Engineer

Role description

Quality Engineering Developer (SDET)

Location: Alpharetta, Georgia
Level: Advanced - 5 to 10 Years Exp.
Discipline: Quality Engineering / Software Engineering in Test

About the Role

We are 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.

You will design and build scalable quality engineering solutions, partner deeply with developers and architects, and ensure quality is designed in, automated, observable, and enforced across the SDLC.

What You'll Do

• 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

What We're Looking For (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

Good to have

Perfecto, JMeter etc.