
11 - 50 employees
🏥 Healthcare
🏨 Hospitality
🏭 Manufacturing
Healthcare • Hospitality • Manufacturing
Safari AI is a company that delivers cutting-edge Computer Vision AI solutions that empower enterprise clients to monitor and analyze their physical operations in real-time using their own camera systems. With the ability to integrate seamlessly with modern IP cameras, they apply a variety of advanced algorithms to gather essential data promptly. Their data analytics platform has been utilized by industry leaders such as Taco Bell and Merlin Entertainments, providing insights that enhance operational efficiency and drive revenue. The company focuses on specialties including infrastructure, logistics, hospitality, and machine learning.
🔥 1 minute ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 12%
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🏥 Healthcare
🏨 Hospitality
🏭 Manufacturing
Healthcare • Hospitality • Manufacturing
Safari AI is a company that delivers cutting-edge Computer Vision AI solutions that empower enterprise clients to monitor and analyze their physical operations in real-time using their own camera systems. With the ability to integrate seamlessly with modern IP cameras, they apply a variety of advanced algorithms to gather essential data promptly. Their data analytics platform has been utilized by industry leaders such as Taco Bell and Merlin Entertainments, providing insights that enhance operational efficiency and drive revenue. The company focuses on specialties including infrastructure, logistics, hospitality, and machine learning.
• Deploy Safari AI's computer vision system at theme parks, stadiums, retail stores and live venues • Set up and configure edge computers, cameras, network switches and 5G/LTE modems • Maintain, patch and troubleshoot Linux systems in the field • Improve installation scripts and Ansible playbooks • Travel to customer sites to install and connect cameras and edge devices • Verify camera streams and angles and bring systems online • Coordinate with installation contractors and customer IT teams • Conduct pre-deployment assessments covering camera inventory, network layout, bandwidth, redundancy and rack space • Help specify ML/GPU hardware and design site-to-site and VPN connections • Track hardware inventory, order from preferred vendors and coordinate shipping • Maintain deployment checklists, timelines and status reports • Serve as technical point of contact for customers during and after deployment • Respond to alerts and resolve or escalate technical issues • Write installation guides, SOPs and handoff documents • Use AI tools and scripts to automate repetitive deployment and support work
• A degree in Computer Science, Computer/Electrical Engineering, Information Technology or a related field, or equivalent hands-on experience • 0–3 years of experience in IT, system administration, network support, field engineering or a similar role (internships, co-ops and homelab projects count) • Comfortable on the Linux command line: SSH, permissions, services, logs and basic shell scripting • Basic networking: IP addressing, subnets, DHCP, DNS, switches and PoE • Comfortable with physical hardware: racking a server, running and testing cable, mounting and aiming a camera, working on a ladder • Strong troubleshooting habits • Clear written and verbal communication with teammates, contractors and customer IT staff • Organized, detail-oriented and a fast learner in new technical environments • Must be permanently authorized to work in the U.S.; no work visa sponsorship or takeover of sponsorship • Able to travel regularly to customer sites, sometimes on short notice • Willing to work evenings and weekends when sites are closed to guests, and respond to emergencies on priority projects • Able to lift and carry up to 50 lb of equipment
Apply Now🔥 4 minutes ago
Senior SRE building Kubernetes and Google Cloud tooling for Censys, whose platform turns internet intelligence into security outcomes. Improving developer self-service, application reliability, and production operations.
🔥 2 hours ago
DevOps Engineer scaling reliable AWS infrastructure for Merge’s AI integration platform. Leading infrastructure-as-code, architecture, production systems, and re-architecture projects.
🇺🇸 United States – Remote
💵 $155k - $185k / year
💰 $55M Series B - Merge on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🔥 6 hours ago
Senior DevOps Engineer owning AWS infrastructure, CI/CD, SRE, and SecOps for Eko Health’s AI-powered cardiac and pulmonary healthcare products. Building secure, reliable delivery systems for clinicians worldwide.
🇺🇸 United States – Remote
💵 $119k - $167.4k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🔥 15 hours ago
Senior DevOps Engineer owning 0G Labs' multi-cloud platform for blockchain and AI workloads. Managing Kubernetes, CI/CD, cloud security, observability and infrastructure costs.
🕒 2 days ago
Senior Microsoft DevSecOps Engineer securing and automating Azure platforms for federal government agencies. Supporting AKS, CI/CD, cloud security, observability, and reliable digital services.
🇺🇸 United States – Remote
💵 $150k - $190k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)