VOTRE PROCHAIN CHAPITRE
Staff Python Engineer – Contract
À propos du poste
• Design and deliver backend features in Python for large-scale enterprise SaaS
• Contribute to technical excellence through testing, CI/CD, and secure design
• Provide technical guidance and architectural input across backend initiatives
• Design data models and pipelines for high-volume sensor data streams and time-series events
• Handle late-arriving data, retention windows, and downstream reclassification
• Own a synchronization and reconciliation engine for distributed edge clients and cloud systems
• Implement incremental updates, retroactive resynchronization, and atomic merging of concurrent edits
• Build integrations with customer enterprise systems and maintain consistency under partial failures and ambiguous record matching
• Design for concurrency, interval-based data, transactional guarantees, and consistency across async workers, polling clients, and human edits
• Build configurable, formula-driven systems with safe customer-specific extension points
• Build fast, reliable APIs for latency-sensitive operational user interfaces
• Collaborate with cloud, infrastructure, and data science teams
• Manage and optimize data pipelines feeding the analytics platform
• 10+ years of professional software development experience
• Python and Django required
• Experience with large, complex backend SaaS applications
• Strong skills in modelling complex data systems and delivering scalable solutions
• Hands-on experience supporting production code and iterating with customer feedback
• Contractors must hold or obtain the legal right to provide services as an independent contractor in their jurisdiction
• Contractors must maintain registrations, licences, or business entities required by applicable law
• Contractors are responsible for applicable professional indemnity, public liability, or other insurance as required in their jurisdiction
• Resumes must be submitted in English
• Celery, RabbitMQ, TimescaleDB/Athena, and manufacturing/industrial technology background are a plus
• Remote-first, highly asynchronous engineering culture
• Significant ownership and autonomy
• Collaboration with experienced backend, infrastructure, and data engineers
• Work on high-scale industrial data systems used by leading global manufacturers
• No employee benefits, equity awards, paid time off, sick leave, health insurance, or participation in employee benefit programmes are provided