Platform Engineering Leader

Bricklayer AI; Atlanta (GA); On-site; USD 150,000 - 175,000; Full time

Job summary

Bricklayer AI is seeking a Platform Engineering Leader to drive the strategic vision of its cloud-native platform in Atlanta, GA. This role combines hands-on leadership with team mentorship, ensuring a secure and scalable infrastructure.

Applicants should have over 8 years of experience in platform engineering and strong knowledge of AWS and Azure services. The expected salary is between $150,000 and $175,000 annually, and the position requires full-time in-office work at our Atlanta R&D Center.

Qualifications

• 8+ years of platform engineering, DevOps, or infrastructure engineering experience with leadership roles.
• Expert-level knowledge of AWS services and Azure cloud services.
• Strong experience in implementing Infrastructure as Code and CI/CD.

Responsibilities

• Define and execute the platform engineering strategy across AWS and Azure.
• Contribute to infrastructure development while building and mentoring a team.
• Design and maintain secure, scalable cloud infrastructure.

Skills

Platform engineering

DevOps

AWS services

Azure cloud services

Infrastructure as Code

CI/CD platforms

Security frameworks

Observability platforms

Cost optimization

Communication skills

Education

Bachelor's degree in a relevant field

Advanced degree in Computer Science or Engineering

Tools

Terraform

CloudFormation

Pulumi

GitHub Actions

GitLab CI

Jenkins

Prometheus

Grafana

DataDog

New Relic

Job description

Platform Engineering Leader – Bricklayer AI Inc. – Atlanta, GA – Full Time

Our Platform Engineering Leader will lead the strategic vision and execution of Bricklayer AI's cloud-native platform infrastructure, ensuring the autonomous SOC platform scales efficiently while maintaining enterprise-grade security and compliance standards. This hands‑on leadership role requires 60% individual contribution and 40% team leadership, reporting directly to the CTO.

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

The ideal candidate will be deeply involved in architectural decisions and implementation while scaling the platform engineering team as we grow. You'll write code, review pull requests, and make critical technical decisions while building and mentoring a world‑class platform engineering organization.

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

Responsibilities

• Strategic Leadership: Define and execute the platform engineering strategy, roadmap, and vision across AWS and Azure multi‑cloud environments
• Hands‑on Team Scaling: Start by directly contributing to infrastructure development while simultaneously building and mentoring a platform engineering team as the company grows
• Infrastructure Architecture: Design and oversee implementation of scalable, secure, and cost‑efficient cloud infrastructure supporting AI workloads and multi‑tenant SaaS architecture
• Developer Experience: Establish and maintain internal developer platforms, CI/CD pipelines, and self‑service capabilities that accelerate engineering velocity
• Security & Compliance: Lead implementation and maintenance of SOC2 Type II controls, security frameworks, and compliance automation across the platform
• Cost Optimization: Drive cloud cost optimization initiatives and establish FinOps practices to maximize ROI on infrastructure investments
• Observability & Reliability: Implement comprehensive monitoring, alerting, and SRE practices to ensure uptime and optimal performance
• AI/ML Infrastructure: Architect and maintain specialized infrastructure for LLM deployment, vector databases, and high‑throughput AI agent orchestration
• Cross‑functional Collaboration: Partner with Engineering, Security, and Product teams to align platform capabilities with business objectives
• Technology Evolution: Evaluate emerging technologies and drive adoption of cutting‑edge platform engineering tools and practices

Qualifications

Required

• 8+ years of platform engineering, DevOps, or infrastructure engineering experience with 3+ years in hands‑on leadership roles managing growing teams
• Experience scaling engineering teams from startup phase to mature organizations
• Proven ability to balance individual contribution (60%+) with team leadership and mentoring responsibilities
• Expert‑level knowledge of AWS services with deep experience in Azure cloud services
• Proven track record personally implementing and scaling infrastructure while building engineering teams
• Advanced expertise in Infrastructure as Code (Terraform, CloudFormation, Pulumi) with hands‑on implementation experience
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins) and GitOps methodologies
• Deep understanding of security frameworks, compliance requirements (SOC2, ISO 27001), and vulnerability management
• Experience architecting multi‑tenant SaaS platforms with enterprise‑grade security and performance
• Strong background in observability platforms (Prometheus, Grafana, DataDog, New Relic)
• Proven experience with cost optimization and FinOps practices
• Excellent communication skills with ability to present to executive leadership and technical teams
• Track record of scaling infrastructure for high‑growth SaaS companies

Preferred

• Advanced degree in Computer Science, Engineering, or related field
• Experience with AI/ML infrastructure, including GPU workloads, vector databases, and LLM serving platforms
• Security certifications (AWS Security Specialty, CISSP, CISM)
• Experience with service mesh technologies (Istio, Linkerd)
• Contributions to open‑source infrastructure projects
• Background in cybersecurity industry and understanding of SOC operations
• Experience with chaos engineering and advanced reliability practices

Salary

$150,000 - $175,000 per year