> Djinni
Software Engineer
format:Remotetype:Full-time
gojavakotlinnode.jspythontypescriptany one ofgojavascriptreactkafkakinesispub/subany one ofkafkamicroservicessqldata modelingci/cdterraformobservability
snowflakedbtazuregoogle cloudawslookergdprsoc 2
> full description
We are looking for a Software 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 services in the cloud as a backend engineer
- Strong in at least one backend language (Java/Kotlin or Go, TypeScript/Node, Python) and comfortable working with 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.
- Microservices architecture — designing and operating independently deployable services with clear API boundaries.
- Solid SQL and data modeling — you can design a warehouse schema and reason your decisions.
- Cloud-native delivery: containers, CI/CD, infrastructure as code, observability, and monitoring.
You care about data correctness and can explain a metric's definition to a non-engineer.
Nice to Have
- Snowflake and dbt.
- Azure (also GCP/AWS — we're multi-cloud by design).
- AI experience
- Looker or another semantic/BI layer, embedded analytics.
- Clickstream or product analytics: web-beacons/tags, sessionization, attribution models.
- E-commerce, search, recommendations, or merchandising domain experience.
- Privacy and compliance work (GDPR, SOC 2).
- Experience with eventual consistency systems.
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