Senior Customer Integration Engineer
Focal Systems - Poland
Posted Jun 9, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $117K-$133K not verified - source not recorded; timestamp not recorded
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
U.S. benchmark only; posted salary is not compared across countries or currencies.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Customer Integration Engineer Poland 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
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