Focal Systems
Senior Customer Integration Engineer
RemotePoland only
- Experience
- Senior
- Employment
- Contract
- Company size
- Startup
$117k–$133k/yr
Check eligibility
Open to PL only. Set where you work from to check your eligibility.
No BS summary
Senior engineer to lead customer onboarding and integrations for an AI camera network in grocery retail. Requires 4+ years of hybrid experience with production code and external stakeholders, strong Python (Pandas, NumPy), systems thinking for distributed systems, solid SQL/data work, and clear technical communication. GCP, Kubernetes, or Helm experience is a plus.
Core skills
PythonSQL
Required skills
PandasNumPy
Optional skills
GCPKubernetesHelm
Required languages
English
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 they require
- Ownership. When a customer has a problem, you don't wait for it to get assigned.You’ll pick it up, see it through end-to-end,, and close the loop.
- 4+ years of hybrid experience . You’ve written real production code and worked directly with external stakeholders. That could be integration or solutions engineering, a consultancy role with direct client work, freelancing on real production systems, or a technical role at a startup where you wore multiple hats. What matters is that you've shipped code and been accountable to someone outside the engineering org.
- You default to an API-first mindset — designing clean contracts, composable interfaces, and avoiding one-off scripts that don’t scale.
- Systems thinking. You can hold a complex distributed system in your head, decompose a messy customer problem into its parts, and come back with a solution — often one nobody else saw because they were closest to it.
- Solid SQL and data work. Diagnostic queries, tracing data inconsistencies, building ETL and transformation pipelines, following data across systems. You reach for SQL before you reach for a ticket.
- Working knowledge of distributed systems . Kafka, async pipelines, caching layers. You don't need to design them. You need to understand how they behave and figure out why data stopped flowing through them.
- Clear technical communication. You can explain a root cause to a non-technical customer or stakeholder without jargon, and explain a customer's actual problem to an engineer without losing the detail.
Benefits
- Competitive Salary & Attractive Stock
- Paid Time Off
- Team Retreats
- Education grants
🇺🇸 United StatesRetail AI SolutionsStartup
Details
EngagementC2C or W-2
$117k–$133k/yr