Site Reliability Engineer, Edge Systems

Job Overview

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.

Key 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 improvements from each incident


• Build and maintain a metrics-driven, cost-optimised edge platform so we can predict and iteratively improve efficiency as we scale


• Write automation software, implement AWS Greengrass components, tune and automate iptables firewall rules, and maintain remote access and diagnostic tools that keep our safety systems dependable at scale

Required Qualifications

• 5+ years of professional experience in systems, embedded, or infrastructure engineering


• Deep expertise with Linux-based operating systems


• Strong coding background in Python, Bash scripting, and system automation


• Bachelor's degree in Computer Science, Engineering, or a related field


• Strong 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


• Strong 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

Why Join Us

At Protex AI, you'll work on cutting-edge problems with a mission-driven team. You'll have ownership, autonomy, and the opportunity to make a tangible impact on workplace safety around the world.

Protex AI is an inclusive and equal opportunities employer. We are committed to creating an equitable workplace for everyone regardless of gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.