Engineering Manager, Infrastructure
About the role
Engineering Manager to lead infrastructure across cloud and edge, focusing on CI/CD, observability, reliability, and secure, scalable infrastructure for Protex AI’s distributed environments.
Responsibilities
- Lead infrastructure efforts across cloud and edge environments.
- Architect and implement CI/CD pipelines.
- Design scalable observability systems.
- Drive system reliability across globally distributed environments.
- Maintain environment parity (Dev, Stage, Prod).
- Ensure secure, high-quality data across regions and comply with GDPR and regional standards.
- Collaborate with engineering teams to support cost-effective, secure infrastructure.
- Proactively manage cloud costs and enforce cloud security.
Qualifications
- 8+ years of professional experience in DevOps, Infrastructure, or SRE roles.
- 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 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 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.
Skills
About Protex AI
Computer vision that makes the industrial workplace, safer
Tl;dr: We’re building software that monitors existing cameras in the port, logistics, and manufacturing industries to ensure compliance and identify safety issues. At Protex AI, we’re on a mission to protect the industrial workforce! We’re building a proactive computer vision tool for workplace safety - empowering industrial Health and Safety (HS) teams to identify risk and danger before it becomes a problem. 🤕 The Problem: Keeping people safe at work is extremely hard. In the U.S. alone, there were over 5,000 deaths in the workplace in 2019, mainly in the heavy industry space. Serious workplace injuries cost U.S. businesses circa $62 Billion annually. Until now, safety has been reactive, someone has to get injured, and in some cases fatally before something is done about it. ✅ Problem Solved: Protex AI’s platform uses privacy-preserving camera monitoring software to provide companies with an always-on guardian angel, protecting their workforce. The platform plugs into existing CCTV infrastructure and enables HS teams to flexibly translate their document-based safety rules into the real world. Protex AI takes these rules and autonomously audits the customer’s facility to identify areas of high risk and non-compliance. HS teams can access this data via a reporting engine and use it in weekly safety meetings, external safety audits, insurance discussions, and legal claims. The tool integrates seamlessly with existing safety workflows to augment data produced by any manual incident logging system in place.
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