Senior

Cloud Engineer

Who we are

Statistics
27M
monthly DOWNLOADS of our code
3B+
DEVICES that use our code
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Previously, we built OpenCV.and have worked together for 10 years, building solutions used in 60+ countries.
We built some of the largest-scale AI solutions in the world—and now apply this experience to revolutionize sports.
ARM
WALLMART
SNAP
META

What we are looking for

At The FitWise, we turn any video into accurate 3D human motion data using AI and computer vision — no sensors or manual input needed.

Our technology powers real-time movement analysis from sports broadcasts and smartphone videos, helping teams, coaches, and physiotherapists improve performance, prevent injuries, and scout talent.

We work with clients worldwide and are already present in 100+ locations.

Our team includes top AI and computer vision experts with over a decade of experience building large-scale solutions. We are a remote-friendly company!

What you will do

• Build and support scalable infrastructure for AI/CV workloads
• Deploy and monitor ML models and video pipelines in the cloud
• Design CI/CD pipelines and manage Infrastructure-as-Code (Terraform, Helm)
• Work with APIs, databases, and message queues
• Ensure system security, reliability, and cost-efficiency
• Collaborate with AI engineers to bring solutions to production

What you should have

• Strong experience with at least one major cloud provider – GCP (preferred), AWS, or Azure
• Willingness to quickly adapt to the Google Cloud Platform if not already familiar
• Proficiency with Kubernetes, Docker, and Linux
• Hands-on experience with Terraform, Helm, or similar Infrastructure-as-Code tools
• Understanding of APIs, message queues (e.g., Pub/Sub), and databases
• Familiarity with CI/CD pipelines and cloud security best practices
• Working proficiency in English

Also, nice to have

• Experience deploying machine learning or computer vision pipelines
• Familiarity with ONNX, TensorRT, OpenVINO, or TFLite
• Experience with video processing (RTSP/WebRTC, etc), real-time or batch
• Understanding of hybrid cloud-edge infrastructure
• Prior contributions to open-source projects
• Experience with cost monitoring and optimization strategies

Why work with us

• Cool team with an open and friendly culture
• Excellent work-life balance: flexible schedule, generous vacation, and sick leave policy
• Remote-friendly work with support for your home office
• Modern tech stack and real-world challenges
• Competitive benefits package

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