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Senior DevOps Engineer

Protex AI· Engineering
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Hybrid (Budapest / Remote (US))Full-timePosted 5mo ago

About the role

Senior DevOps Engineer at Protex AI, a computer vision and safety-focused company with a global operations footprint. Role focuses on cloud and edge infrastructure, CI/CD, observability, and reliability across multiple regions to support real-time AI-powered safety insights.

Responsibilities

  • Drive infrastructure efforts across cloud and edge environments
  • Implement CI/CD pipelines
  • Design and implement scalable observability systems
  • Drive system reliability across globally distributed environments
  • Maintain environment parity (Dev, Stage, Prod)
  • Ensure secure, high-quality data across all regions
  • Support well-architected, cost-effective, and secure infrastructure in collaboration with engineering teams

Qualifications

  • 5+ years of professional experience in DevOps, Infrastructure, or SRE roles
  • Proven experience in SRE with a focus on uptime, reliability, and system health
  • Expertise in monitoring, observability, and reliability best practices
  • Experience with CI/CD pipelines and automation (cloud and edge)
  • Experience with Unix-based operating systems
  • Hands-on experience with Kubernetes, Terraform, ECS
  • Experience with database management
  • Ability to deploy infrastructure across regions while maintaining GDPR and other compliance standards
  • Solid knowledge of AWS services (e.g., Lambda, EC2, S3, CloudWatch)
  • Good understanding of cloud security best practices (secrets management, threat prevention, vulnerability mitigation)
  • Bachelor’s degree in Computer Science or a related field

Skills

Required:DevOpsSREMonitoring/ObservabilityCI/CDUnix/LinuxKubernetesTerraformDatabasesGDPR/complianceAWS services
Nice to have:ECS
Last updated May 16, 2026. Interested? Apply on the company site.
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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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