> Djinni
senior
ZentixSoftBackend Engineer
format:Remotetype:Full-timecompany:Outstaff
pythonsqlapievent-driven architecturemicroservicesany one ofevent-driven architecture
shopifygoogle cloudbigqueryairflow
> full description
ZentixSoft is looking for a Senior Python + Data Systems Engineer! 🚀
Format: Full-Time Outstaffing, 100% Remote.
Location: North and South America (Priority). We also consider candidates from Eastern Europe (Ukraine, Poland) ready to overlap working hours up to 22:00–23:00 local time (EET/CET).
🏛️ Our Approach & Culture at ZentixSoft:
At ZentixSoft, we operate on trust and high autonomy. We have no micromanagement, no invasive time-trackers, and no minute-by-minute monitoring—we value a mature engineering mindset and freedom in decision-making.
🧩 Responsibilities:
- Streaming & Event-Driven Architecture: Design, build, and maintain real-time streaming data pipelines and event-driven architectures in Python.
- Conversion API & Integrations: Implement robust API integrations to process tracking signals and transmit them in real time to ad platform APIs.
- Product Data Pipelines: Develop analytical data processing pipelines integrated directly into our commercial SaaS application.
- System Architecture & Ownership: Own backend microservices, data ingestion, database modeling, and technical decision-making from concept to production.
🎓 Our Perfect Match (Requirements):
- Seniority & Mindset: Senior or Staff Engineer with a strong product-building mindset and high architectural ownership.
- Backend Stack: Deep commercial expertise in Python and advanced SQL database design.
- Data Systems: Hands-on experience with API integrations and real-time streaming/event-driven systems (e.g., Python streaming, message brokers).
- Schedule Overlap & Communication: Fluent English (Advanced/C1) and readiness to overlap with US time zones (up to 22:00–23:00 local time for EU-based engineers).
➕ Nice to Have:
- Hands-on experience with Snowplow or OpenSnowcat.
- Domain expertise in Conversion APIs, marketing analytics, tracking analytics, or e-commerce platforms (e.g., Shopify).
- Practical experience with GCP (Google Pub/Sub, BigQuery) and Apache Airflow.