Protex AI

AI Safety and Operations Intelligence

SiteReliabilityEngineer,EdgeSystems

Dublin, Ireland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Site Reliability Engineer, Edge Systems at Protex AI. Skills: Linux, Python, AWS, System Reliability. Own Linux-based edge platform. Manage global deployment footprint”

What You'll Achieve.

Ensure systems run smoothly; Predict and improve efficiency; Keep safety systems dependable

Industry & Context.

AI Safety and Operations Intelligence
Problems you'll solve

analytical; debugging; performance-tuning; triage; resolve complex system issues

What They're Looking For.

Must Have

5+ years of professional experience in systems, embedded, or infrastructure engineering, Deep expertise with Linux-based operating systems, coding background in Python, Bash scripting, and system automation, Bachelor's degree in Computer Science, Engineering, or a related field, experience in cloud technologies, preferably AWS, Experience configuring and troubleshooting networking stacks, such as firewalls and proxies, Excellent debugging and performance-tuning skills across hardware and OS layers, Ability to triage and resolve complex system issues in production environments, Ability to influence technical direction, mentor peers, and drive execution, analytical, project management, documentation, and process-building skills to support scale

Nice to Have

Experience deploying and maintaining edge or IoT devices in industrial environments, Previous support or sysadmin experience in a corporate setting, A background in baselining system and platform performance and showing leadership a clear progression path as we scale

What You'll Do.

Own Linux-based edge platform

Manage global deployment footprint

Build and automate systems

Ensure infrastructure secure

Ensure infrastructure performant

Ensure infrastructure connected

Design serving infrastructure

Implement serving infrastructure

Lead incident response

Build metrics-driven platform

Build cost-optimised platform

Write automation software

Implement AWS Greengrass

Tune iptables firewall

Automate iptables firewall

Maintain remote access tools

Maintain diagnostic tools

How You'll Work.

Team & Collaboration

Work closely with engineering teams; Work closely with implementation teams; Work closely with support teams; Mentor peers

Process & Methodology

project management

Full Job Description

Protex AI is the AI Safety and Operations Intelligence Company. At Protex AI, we are at the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Backed by top-tier global investors, we recently secured a $36 million Series B to accelerate our mission. Industry leaders like DHL, Amazon, and Tesla trust Protex AI to drive measurable safety improvements, achieving an average 64% risk reduction within just three months of deployment. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights. ABOUT THE TEAM The Infrastructure team builds and maintains the core foundation that powers all Protex AI systems, ensuring scalable data infrastructure, robust edge-to-cloud connectivity, and high-performance backend services. We support edge deployments for real-time computer vision applications and deliver resilient systems to enable proactive workplace safety at global scale. ABOUT THE ROLE We're looking for a Site Reliability Engineer to join our Infrastructure team, taking ownership of our Linux-based edge platform and its global deployment footprint. This is a hands-on, high-impact role focused on system reliability, hardware support, and network configuration. You'll build and automate the systems and processes that keep our edge infrastructure secure, performant, and always connected, from local devices to the cloud. You'll work closely with our engineering, implementation, and support teams to ensure our systems run smoothly in complex customer environments. RESPONSIBILITIES - Design and implement high-availability computer vision serving infrastructure capable of handling the needs of external customers and high-demand workloads - Lead incident response for critical AI services, using automation to ensure rapid recovery and systematic imp

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