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Principal Engineer; Backend and Data Architecture

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Bricklayer AI Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Principal Engineer (Backend and Data Architecture)

Principal Engineer (Backend and Data Architecture)

Our Principal Engineer (Backend and Data Architecture) will serve as both the hands‑on technical leader and architect for Bricklayer AI’s backend systems and data infrastructure, personally implementing solutions while mentoring engineers across the organization. This individual contributor role with significant technical influence reports directly to the CTO and requires 80% hands‑on development and 20% mentoring/architecture guidance. The ideal candidate will personally write high‑performance code, architect complex data systems, and scale our technical capabilities as we grow from processing thousands to millions of security events per second.

You’ll be in the code daily while serving as the technical authority for our most critical backend challenges.
Location: This position is based in Atlanta, GA and requires full‑time in‑office work at our Atlanta R&D Center

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

Our Principal Engineer (Backend and Data Architecture) will serve as both the hands‑on technical leader and architect for Bricklayer AI’s backend systems and data infrastructure, personally implementing solutions while mentoring engineers across the organization. This individual contributor role with significant technical influence reports directly to the CTO and requires 80% hands‑on development and 20% mentoring/architecture guidance. The ideal candidate will personally write high‑performance code, architect complex data systems, and scale our technical capabilities as we grow from processing thousands to millions of security events per second.

You’ll be in the code daily while serving as the technical authority for our most critical backend challenges.

Location: This position is based in Atlanta, GA and requires full‑time in‑office work at our Atlanta R&D Center

Responsibilities
  • Hands‑on System Architecture: Personally design and implement highly scalable backend architectures, writing production code for real‑time cybersecurity data processing and AI agent orchestration
  • Performance Engineering: Lead by example in performance optimization, personally implementing solutions to achieve sub‑100ms API response times and optimize data pipeline throughput for millions of security events
  • Data Architecture Implementation: Personally architect and implement data lakes, streaming architectures, and storage solutions, writing the code that processes cybersecurity data patterns and AI workloads
  • Database Development: Design, implement, and optimize database schemas, indexing strategies, and query patterns through hands‑on development for both transactional and analytical workloads
  • Hands‑on API Development: Personally design and implement high‑performance REST and Graph

    QL APIs, writing the code that supports complex cybersecurity workflows and integrations
  • Pipeline Implementation: Build and optimize ETL/ELT pipelines through hands‑on development, personally implementing solutions for ingesting, processing, and transforming large‑scale cybersecurity data streams
  • Caching & Storage: Implement advanced caching strategies, data partitioning, and storage optimization for multi‑tenant SaaS architecture
  • AI/ML Integration: Architect backend systems that efficiently serve LLM requests, manage vector embeddings, and support real‑time agent decision‑making
  • Technical Mentorship: Mentor senior engineers through code reviews, architecture discussions, and hands‑on pairing while personally establishing backend engineering best practices through implementation
  • Innovation & Research: Evaluate cutting‑edge technologies and implement proof‑of‑concepts to push the boundaries of cybersecurity data processing
Qualifications Required
  • 8+ years of hands‑on backend engineering…
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