Data capture. Smarter. Scandit advanced barcode scanning, ID scanning or shelf intelligence software runs on any smart device. Unmatched speed and accuracy. Backed by GV.
About the role
This role is about solving complex engineering problems at scale and building the backend solutions that power them. You will help design and operate the distributed systems that turn store imagery into real-time, actionable alerts. That includes choosing and building on workflow-orchestration infrastructure for ML pipelines, making infrastructure and GPU-capacity tradeoffs for model serving at scale, and extending our identity and multi-tenancy platform as we bring on larger, more security-conscious customers.
What they're looking for
- 5+ years of professional experience as a backend engineer shipping software in the cloud
- Have evaluated and adopted workflow-orchestration or distributed-pipeline tooling (e.g. Temporal, Celery, Airflow, Dagster, or similar) for a production system
- Have hands-on experience with identity/auth systems (SSO, OAuth/OIDC, RBAC) and multi-tenant architectures
- Are comfortable with observability tooling (distributed tracing, metrics, structured logging) and have used it to debug production issues
- Are fluent in multiple languages, Python being your strongest
- Have first-hand experience with databases (relational and document-oriented), service-oriented architectures, cloud data pipelines (stream and batch), Docker, Kubernetes
More about this role
Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.
Our newest product, ShelfView, is a machine-learning-powered platform for retail that gives real-time shelf visibility and helps stores run more efficiently. ShelfView is scaling fast: we are ramping towards the rollout of the largest retail intelligent deployments, processing billions of product-location updates a year. As a Senior Backend Engineer, you’ll be part of the team that builds and runs the backend behind ShelfView's product recognition and store-monitoring pipeline.You will help scale automated, ML-driven store monitoring while keeping the platform fast, observable, and secure for a growing list of enterprise retail customers.
If these challenges sound interesting to you, we'd love to hear from you!
This role is about solving complex engineering problems at scale and...
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