Infrastructure Engineer

About the role

Position: Infrastructure Engineer Location: Poland/Europe - Remote Type: This can be structured as a B2B contract or Employment Contract with full benefits Salary: $102,000 - $117,500 + stock options

Who We Are

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley-based startup headquartered in San Francisco, with operations in Canada, the UK, multiple EU countries and a tech hub in Poland. We are a Deep Learning-first company. Our mission is to automate and optimize brick-and-mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world, processing hundreds of millions of images per day across tens of thousands of stores globally.

We were recently named Confluent's inaugural Data Streaming Startup of the Year, a recognition of how seriously we take the engineering challenges at the core of our business. We seek smart, creative, and passionate people who want to help build a great and enduring company.

What We're Looking For

We are looking for an Infrastructure Engineer to own and evolve the systems that power Focal at scale. We are looking for someone who can architect, build, and operate production infrastructure.

The core challenge is scale. We are processing millions of images per day across thousands of retail locations globally, and that number is growing fast. Our infrastructure needs to be reliable, cost-efficient, and capable of handling an order-of-magnitude increase in load without a proportional increase in cost or complexity.

What You Will Do

- Work on the design, operation, and continuous improvement of Focal's core infrastructure - cloud, data pipelines, deployments, and observability.

- Drive meaningful reductions in COGS and latency without sacrificing reliability.

- Architect and maintain scalable, data-heavy backend infrastructure built on Python, FastAPI, Kafka, Docker, and cloud platforms.

- Build and operate deployment pipelines - blue/green and canary deployments, CI/CD tooling, and release processes that support zero-downtime launches at scale.

- Design and implement monitoring and alerting systems that provide genuine visibility into system health across geographies and environments.

- Create tooling that gives engineers and stakeholders transparent, easy access to data stored across varying geographic locations and formats.

- Collaborate closely with backend, deep learning, and embedded engineering teams to ensure infrastructure evolves with product and model requirements.

What You Need to Be Successful

Must have

- 5+ years in infrastructure, platform, or DevOps engineering.

- Production experience with GCP at scale.

- Kubernetes, Helm and Docker in production.

- Python - our stack is Python end-to-end. You'll read, debug, and contribute to backend code daily, so a software development background (not just ops scripting) is essential.