Focal Systems
Retail Technology
SeniorCustomerIntegrationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Customer Integration Engineer at Focal Systems. Skills: Customer integration, Distributed systems, Data pipelines. Own challenged end-to-end. Bring new customers live”
Industry & Context.
Decompose messy problems; Troubleshoot data flow
What They're Looking For.
Must Have
4+ years of hybrid experience, Written production code, Worked with external stakeholders, Shipped code, Accountable to someone outside engineering
Nice to Have
GCP experience, Kubernetes experience, Helm experience
What You'll Do.
Own challenged end-to-end
Bring new customers live
Map customer data formats
Manage live production configuration
Build tooling to remove manual work
Work directly with customers
How You'll Work.
Communication Scope
Technical communication; Explain root cause
Full Job Description
Location: 100% Remote in Poland Type: This can be structured as a B2B contract or as an Employment Contract with full benefits. Salary: $117,000 - $133,000 + stock options. Focal Systems builds AI camera networks for grocery retail. Hundreds of stores, major UK and European chains, and a customer list that keeps growing faster than most companies our size would attempt. The computer vision market is moving, and we're one of the few places actually deploying it at scale - not on slides, but in stores equipped with hundreds of shelf edge cameras that change how store teams do their jobs every shift. Our Customer Integration team has taken every major retailer we've signed through production — and as we add more customers, we’re looking for a senior engineer to lead high-quality deployments, own onboarding and integrations end-to-end, and help define how this function grows. What You'll Do Work with a real distributed AI system at scale — when a retailer's report is wrong, a pipeline is silently dropping events, task counts diverged somewhere between Kafka, Redis, MySQL, and MongoDB, you'll own the challenged end-to-end, not hand it off after one layer. Bring new customers live — map their data formats to ours and validate pipelines held up at 10 stores before scaling up to 100 and then a 1000. Manage live production configuration for dozens of active deployments — granular store configurations, feature flags and so on — where a single mistake can impact shelf monitoring across thousands of stores and be presented in a retailer's morning report. Build tooling that removes the manual work — identify the patterns and build the systems that make the next deployment faster than the last one. Work directly with customers when something goes wrong — explain what happened, own the fix, and close the loop. What You'll NOT Do Act as the first line of technical support. What We're Looking For Ownership. When a customer has a problem, you don't wait for it to get assigned.You’ll
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