Engineering Manager, Infrastructure

Reposted 2 Months Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Information Technology • Software
The Role
Lead infrastructure initiatives in cloud and edge environments, focusing on CI/CD pipeline implementation, system reliability, and data security compliance while managing a team.
Summary Generated by Built In

The physical world generates an extraordinary amount of data, yet most of what happens inside manufacturing and logistics sites remains invisible to the systems that run them.

At Protex AI, we're changing that.

We're building Site Intelligence, an AI platform that connects cameras, enterprise systems and operational knowledge to give businesses a real-time understanding of what's happening across their operations.

Our computer vision technology transforms video into structured operational data, while AI agents turn that data into insights, investigations and actions. We're helping some of the world's largest enterprises improve safety, eliminate inefficiencies and increase productivity.

We've built a strong foundation in safety. Now we're expanding into a much bigger opportunity: using AI to fundamentally change how industrial operations are understood, managed and optimised.

Interested in creating a new category with us? We're looking for high-agency people who thrive in ambiguity, move quickly and care deeply about solving real problems.

About us:

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 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 an Engineering Manager to lead infrastructure efforts across cloud and edge environments. You’ll architect and implement CI/CD pipelines, design scalable observability systems, and drive system reliability across globally distributed environments. You'll help shape a seamless developer experience, maintain environment parity (Dev, Stage, Prod), and ensure secure, high-quality data across all regions.

You’ll work closely with engineering teams to support well-architected, cost-effective, and secure infrastructure. This includes proactive cost management, cloud security enforcement, and compliance with regional standards like GDPR.

What You'll Need
  • 8+ years of professional experience in DevOps, Infrastructure, or SRE roles. Including 2+ years in a technical management role.

  • Solid knowledge of AWS services (e.g., Lambda, EC2, S3, CloudWatch)

  • Hands-on experience with Terraform

  • Proven experience in SRE with a focus on uptime, reliability, and system health

  • Expertise in monitoring, observability, and reliability best practices

  • Strong experience with CI/CD pipeline design and automation (cloud and edge)

  • Experience with real-time, distributed, or IoT infrastructure

  • Experience with Unix-based operating systems

  • Experience or interest in Edge device management

  • Experience managing split environments (Dev, Staging, Prod) 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 (secrets management, threat prevention, vulnerability mitigation)

  • Ability to influence technical direction, mentor others, and drive execution

  • Bachelor’s degree in Computer Science or a related field

Nice To Have
  • Expertise in CI/CD pipeline development for edge deployments

  • Experience implementing best practices to improve DORA metrics

  • Bonus if you've helped a team adopt AI-first workflows, we know this is new territory and we're figuring it out too.

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.

Skills Required

  • 8+ years of experience in DevOps, Infrastructure, or SRE
  • 2+ years in a technical management role
  • Solid knowledge of AWS services
  • Hands-on experience with Terraform
  • Proven experience in SRE
  • Experience with CI/CD pipeline design
  • Experience with real-time, distributed, or IoT infrastructure
  • Strong understanding of cloud security best practices
  • Bachelor's degree in Computer Science or a related field
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The Company
HQ: Dublin, County Dublin
48 Employees
Year Founded: 2021

What We Do

We believe that every worker has the right to go home safe every day. We also believe that every employer should provide a duty of care in order for this to happen. At Protex AI, we're helping enterprise EHS teams to revolutionise how they make proactive safety decisions that help contribute to a safer work environment. Our AI-powered technology is enabling businesses to gain greater visibility of unsafe behaviours in their facilities. The privacy-preserving platform plugs into existing CCTV infrastructure and uses its computer vision technologies to capture unsafe events autonomously in settings such as warehouses, manufacturing facilities and ports

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