Informazioni sull'offerta
The role focuses on building and launching high-load distributed backend systems and data pipelines for large-scale property and entity data. The engineer will help bring the product to production readiness for institutional clients.
About the product
The company is building an infrastructure platform for analyzing and processing large-scale property and entity data globally.
The product is a data layer used by institutional clients to establish relationships between entities, analyze ownership structures, and identify risks across complex real-world networks.
The company is forming a core engineering team during a phase of rapid growth to bring the product to a production level for Tier 1 clients.
In the first 3 months
- Build a production-ready backend architecture
- Design and launch data ingestion pipelines from heterogeneous sources
- Develop scalable backend services and APIs
- Ensure observability, logging, and system auditability
- Deliver working endpoints and services demonstrating stable performance under load
Requirements
- At least 5 years of confirmed experience launching and operating production systems used by businesses or large organizations
- Deep understanding of distributed systems and their behavior under load
- Hands-on experience with Kafka or similar streaming systems
- Backend development experience in Python using FastAPI or similar frameworks
- Strong system design skills, including performance, fault tolerance, and scalability
Tech stack and focus
- Python and FastAPI
- Asynchronous programming
- Distributed systems
- Event-driven architecture
- Kafka, including topology design and delivery guarantees
- Data pipelines for processing large volumes of structured and unstructured data
Format and compensation
- Top-of-the-market compensation
- Offer calibrated based on real production experience
- 100% remote at the start; remote-first format
- No geographical restrictions
- Possible relocation in the future for key team members
Application
- Candidates are considered only with confirmed experience in developing and operating production systems used in business environments or large organizations
- Send your CV via Telegram