
51 - 200 employees
đ€ Artificial Intelligence
đ Retail
đą Enterprise
Artificial Intelligence âą Retail âą Enterprise
Focal Systems is an innovative technology company focused on transforming retail operations through the deployment of advanced artificial intelligence and computer vision technologies. Their flagship product, FocalOS, automates decision-making processes within retail environments, optimizing order writing, inventory updates, and labor schedules to enhance efficiency and productivity. By utilizing ruggedized cameras and AI, Focal provides real-time shelf insights and automates tasks, significantly reducing food waste and operational costs for retailers. The company's mission is to lower living costs worldwide by enabling retailers to improve efficiency, reduce waste, and ultimately, lower prices for consumers.
đ„ 0 minutes ago
đ”đ± Poland â Remote
đ” $102k - $117.5k / year
â° Full Time
đĄ Mid-level
đ Senior
đ· Infrastructure Engineer
đ» Ghost score 0%
Where this job comes from
Posted on Focal Systems's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

51 - 200 employees
đ€ Artificial Intelligence
đ Retail
đą Enterprise
Artificial Intelligence âą Retail âą Enterprise
Focal Systems is an innovative technology company focused on transforming retail operations through the deployment of advanced artificial intelligence and computer vision technologies. Their flagship product, FocalOS, automates decision-making processes within retail environments, optimizing order writing, inventory updates, and labor schedules to enhance efficiency and productivity. By utilizing ruggedized cameras and AI, Focal provides real-time shelf insights and automates tasks, significantly reducing food waste and operational costs for retailers. The company's mission is to lower living costs worldwide by enabling retailers to improve efficiency, reduce waste, and ultimately, lower prices for consumers.
âą Design, operate, and continuously improve core infrastructure, including cloud, data pipelines, deployments, and observability âą Drive reductions in COGS and latency while maintaining reliability âą Architect and maintain scalable, data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and cloud platforms âą Build and operate deployment pipelines, including blue/green and canary deployments, CI/CD tooling, and release processes supporting zero-downtime launches âą Design and implement monitoring and alerting systems for visibility into system health across geographies and environments âą Create tooling providing transparent access to data stored across geographic locations and formats âą Collaborate with backend, deep learning, and embedded engineering teams as infrastructure evolves with product and model requirements
âą 5+ years in infrastructure, platform, or DevOps engineering âą Production experience with GCP at scale âą Kubernetes, Helm and Docker in production âą Python software development experience âą Infrastructure-as-code with Terraform âą Observability with Prometheus, including metrics, alerting, and instrumentation âą Solid CI/CD fundamentals and deployment strategies, including blue/green, canary, and feature flags âą MySQL, query tuning, and operational knowledge are a bonus âą MongoDB, Kafka or comparable streaming platforms, and CircleCI are nice to have âą Experience with data-intensive applications and microservices at scale is nice to have âą Advanced written and spoken English âą Comfortable coordinating across time zones with a global team âą Comfortable with a shared on-call rotation
âą Stock options / attractive stock âą Full benefits with Employment Contract option âą Paid Time Off âą Team Retreats âą Education grants
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đ”đ± Poland â Remote
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