> Djinni
senior
ZentixSoftFull Stack Engineer
format:Remotetype:Full-timecompany:Outstaff
pythontypescriptsql
shopifywordpressgoogle cloudawsbigquery
> full description
ZentixSoft is looking for a Senior Full-Stack Engineer (Python + TypeScript)! 🚀
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:
- End-to-End Feature Delivery: Design, build, and launch complex product features across both frontend (TypeScript) and backend (Python).
- Database Architecture: Deep-dive into database design, query optimization, and schema modeling to support high-scale tracking and analytics.
- Integrations & APIs: Build and support third-party platform integrations, API layers, and data flows within our SaaS ecosystem.
- Engineering Standards: Author clean abstractions, lead architectural discussions, and ensure high code quality across the codebase.
🎓 Our Perfect Match (Requirements):
- Seniority & Mindset: Senior or Staff Engineer who excels in full-stack feature ownership and product-driven environments.
- Core Languages: Strong commercial experience with Python (backend) and TypeScript (frontend).
- Database Mastery: Deep understanding of SQL, database internals, data indexing, and query optimization.
- Product Ownership: Proven history of building customer-facing SaaS products and features from scratch to deployment.
- 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:
- Background in e-commerce platforms (Shopify, WooCommerce, custom checkout flows) or tracking analytics.
- Exposure to cloud platforms (GCP / AWS), BigQuery, or event-based data architectures.
📍 Project Details:
⏳ Format: Full-Time, long-term contract.
📍 Location: Remote (Americas / Eastern Europe with US overlap).