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Focal Systems

AI-driven shelf-automation platform for retailers

Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote in Poland

About the Job

Requirements

  • At least 5 years of experience in infrastructure, platform, or DevOps engineering.
  • Production experience with Google Cloud Platform at scale.
  • Production experience with Kubernetes, Helm, and Docker.
  • Python proficiency and a software development background, including the ability to read, debug, and contribute to backend code daily.
  • Experience with infrastructure as code using Terraform.
  • Experience with observability using Prometheus, including metrics, alerting, and instrumentation.
  • Solid continuous integration and continuous delivery fundamentals and deployment strategies, including blue/green deployments, canary deployments, and feature flags.
  • Advanced written and spoken English.
  • Ability to coordinate across time zones with a global team.
  • Comfort with a shared on-call rotation.

Responsibilities

  • Design, operate, and continuously improve core infrastructure, including cloud systems, data pipelines, deployments, and observability.
  • Drive reductions in cost of goods sold and latency while maintaining reliability.
  • Architect and maintain scalable, data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and cloud platforms.
  • Build and operate deployment pipelines, including blue/green and canary deployments, continuous integration and continuous delivery tooling, and release processes that support zero-downtime launches at scale.
  • Design and implement monitoring and alerting systems that provide visibility into system health across geographies and environments.
  • Create tooling that gives engineers and stakeholders access to data stored across different geographic locations and formats.
  • Collaborate with backend, deep learning, and embedded engineering teams to ensure infrastructure evolves with product and model requirements.

Desired Qualifications

  • MySQL knowledge, particularly query tuning and operational knowledge.
  • MongoDB, Kafka or comparable streaming platforms, and CircleCI.
  • Experience with data-intensive applications and microservices at scale.

About the Company

Focal Systems

AI-driven shelf-automation platform for retailers

Focal Systems sells an AI-driven store-automation platform for brick-and-mortar retailers, centered on FocalOS software that runs on a network of shelf cameras to digitize the store and optimize operations. Shelf cameras capture hourly data, and FocalOS uses deep learning and computer vision to detect out-of-stocks, low inventory, and planogram non-compliance, automatically guiding replenishment and ordering. It differentiates itself by offering an integrated hardware-plus-software solution with real-time store-floor digitization and automated actions, deployed at large retailers across multiple continents (including Walmart). The goal is to increase store sales and efficiency by improving product availability and reducing manual labor, aiming for a 3-5% lift in sales.

Company size
51-200
Company stage
Series B
Total funding
$41.8M
Headquarters
Burlingame, CA
Founded
2015

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