Full Stack Engineer

We are looking for a Full Stack Engineer to join our team for a long-term project.

Project
A SaaS-based, data-driven eCommerce platform built on AI-powered, fully cloud-native technology for the North American market.

Responsibilities
Build and own services across the pipeline ingestion API, validation, stream processing, adapters, serving API.
Build the UI layer dashboards and embedded analytics on top of the data you modelled.
Make it operable: idempotent ingest and replay, deduplication, provenance, tracing, data-quality checks, tenant isolation, GDPR handling.
Use AI coding tools to improve development productivity, code quality, debugging, and testing.
Apply AI-assisted development practices while maintaining established coding standards and version control processes.

Required Skills and Experience
5+ years building production backend services and the web UIs on top of them.
Strong in at least one backend language (TypeScript/Node, Python, Java/Kotlin, or Go) and comfortable in modern JavaScript/TypeScript on the front end (React or similar).
Real experience with event-driven systems: message queues or streams (Kafka, Pub/Sub, Kinesis), schema evolution, at-least-once delivery, idempotency.
Solid SQL and data modelling you can design a warehouse schema and reason about why an aggregate is wrong.
Cloud-native delivery: containers, CI/CD, infrastructure
You care about data correctness and can explain a metric's definition to a non-engineer.

Nice to Have
Azure (also GCP/AWS we're multi-cloud by design).
Looker or another semantic/BI layer, embedded analytics.
Clickstream or product analytics work: beacons/tags, sessionization, attribution models.
E-commerce, search, recommendations, or merchandising domain experience; Shopify integrations.
Privacy and compliance work (GDPR, SOC 2).

We Offer
Full-time remote position
Long-term project
Opportunity to work with modern cloud-native and AI-powered technologies
Friendly and professional international team