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Quality & Release Engineering Leader

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Bricklayer AI Inc.
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Bricklayer AI Inc. Quality & Release Engineering Leader Atlanta, GA
· Full time Company website Apply for Quality & Release Engineering Leader

Bricklayer AI is seeking a Quality & Release Engineering Leader to establish and scale the systems, processes, and engineering practices that ensure every release of the Bricklayer platform meets the highest standards of quality, reliability, security, and customer readiness. This is a hands‑on leadership role responsible for quality engineering, test automation, release management, validation frameworks, performance testing, and AI workflow testing.

The ideal candidate is equally comfortable designing automation frameworks, building quality processes, analyzing production defects, improving release velocity, and mentoring engineers. This role will begin as approximately 70% hands‑on contribution and 30% leadership, with responsibility for building the Quality & Release Engineering function as the company grows. You will work closely with Application Engineering, AI Engineering, Platform Engineering, Product Management, Customer Experience, and Security teams to ensure quality is embedded throughout the software development lifecycle.

About

Bricklayer AI Inc.

Bricklayer AI is the first multi‑agent LLM‑based AI solution that brings autonomous AI specialists and human experts into a single collaborative and effective security team. Our automated AI Security Analyst, Threat Intelligence Analyst, and Incident Responder autonomously handle complex incidents, with minimal human oversight. They learn continuously, collaborate seamlessly, and enable human teams to build a stronger defense.

Description About Bricklayer AI

Bricklayer AI is the first AI cybersecurity platform that enables autonomous AI agents to work alongside human experts to operate smarter, faster, and more effective security operations teams.

Our platform combines specialized AI agents, human oversight, enterprise governance, and deep integrations with security technologies to automate complex cybersecurity procedures while maintaining transparency, accountability, and trust.

Bricklayer empowers organizations to scale security operations without scaling headcount.

The Position

Bricklayer AI is seeking a Quality & Release Engineering Leader to establish and scale the systems, processes, and engineering practices that ensure every release of the Bricklayer platform meets the highest standards of quality, reliability, security, and customer readiness.

This is a hands‑on leadership role responsible for quality engineering, test automation, release management, validation frameworks, performance testing, and AI workflow testing. The ideal candidate is equally comfortable designing automation frameworks, building quality processes, analyzing production defects, improving release velocity, and mentoring engineers.

This role will begin as approximately 70% hands‑on contribution and 30% leadership, with responsibility for building the Quality & Release Engineering function as the company grows.

You will work closely with Application Engineering, AI Engineering, Platform Engineering, Product Management, Customer Experience, and Security teams to ensure quality is embedded throughout the software development lifecycle.

Responsibilities
Quality Engineering Strategy
  • Define and execute Bricklayer’s quality engineering strategy, standards, and roadmap
  • Establish quality objectives, release criteria, and engineering best practices
  • Create a culture where quality is owned throughout the software development lifecycle
  • Develop and track quality metrics that drive continuous improvement
Test Automation & Validation
  • Design and implement automated testing frameworks across application, API, integration, infrastructure, and agent workflow layers
  • Establish automated regression testing and continuous validation processes
  • Build test coverage strategies that balance speed, confidence, and engineering efficiency
  • Drive automation‑first quality practices across engineering teams
  • Continuously improve test coverage and reduce manual testing requirements
Release Engineering
  • Own release readiness processes and production deployment validation
  • Establish…
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