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Protex AI

AI safety analytics from CCTV footage

Engineering Manager - Infrastructure

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of professional experience in DevOps, Infrastructure, or Site Reliability Engineering roles, including at least 2 years in a technical management role.
  • Solid knowledge of AWS services, including Lambda, EC2, S3, and CloudWatch.
  • Hands-on experience with Terraform.
  • Proven Site Reliability Engineering experience focused on uptime, reliability, and system health.
  • Expertise in monitoring, observability, and reliability best practices.
  • Strong experience designing and automating CI/CD pipelines for cloud and edge environments.
  • Experience with real-time, distributed, or Internet of Things infrastructure.
  • Experience with Unix-based operating systems.
  • Experience or interest in edge device management.
  • Experience managing split Development, Staging, and Production environments with consistent, production-quality data.
  • Ability to deploy infrastructure across regions while maintaining GDPR and other compliance standards.
  • Strong focus on developer experience and supporting cross-functional teams.
  • Strong understanding of cloud security best practices, including secrets management, threat prevention, and vulnerability mitigation.
  • Ability to influence technical direction, mentor others, and drive execution.
  • A Bachelor's degree in Computer Science or a related field.

Responsibilities

  • Lead infrastructure efforts across cloud and edge environments.
  • Architect and implement CI/CD pipelines.
  • Design scalable observability systems and drive system reliability across globally distributed environments.
  • Shape a seamless developer experience, maintain environment parity across Development, Staging, and Production, and ensure secure, high-quality data across all regions.
  • Work closely with engineering teams to support well-architected, cost-effective, and secure infrastructure.
  • Proactively manage costs, enforce cloud security, and ensure compliance with regional standards such as GDPR.

Desired Qualifications

  • Expertise in CI/CD pipeline development for edge deployments.
  • Experience implementing best practices to improve DORA metrics.
  • Experience helping a team adopt AI-first workflows.

About the Company

Protex AI

AI safety analytics from CCTV footage

What Protex AI does: It helps large companies improve safety by using artificial intelligence to watch video from existing CCTV cameras and find unsafe behaviours in places like warehouses and factories. How it works: The system connects to the company’s current CCTV setup and uses computer vision to autonomously spot risky actions while protecting privacy. How it differs from competitors: It focuses on privacy-preserving video analysis, works with already installed cameras, and targets enterprise EHS teams to make proactive safety decisions with clear visibility into unsafe behaviors. What the goal is: To reduce injuries and ensure workers can safely go home each day by extending a company’s duty of care and proactive safety measures.

Company size
51-200
Company stage
Series B
Total funding
$54.1M
Headquarters
Dublin, Ireland
Founded
2021

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