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Razor Labs
Razor Labs
51 – 200 Darbinieki
Mākslīgais intelekts
Razor Labs develops predictive maintenance technology for the mining industry. Its Sensor Fusion solutions combine data from cameras and operational sensors to help mining companies spot equipment issues, reduce unplanned downtime, and improve reliability. The company says its technology also supports higher productivity, lower emissions, and safer working conditions. Publicly traded on the Tel Aviv Stock Exchange, Razor Labs serves mining operations in Western Australia and South Africa, with offices in Perth, Sydney, and Tel Aviv.
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Vakances uzņēmumā

Senior Backend Developer (Python) at Razor Labs

Build scalable Python services for Razor Labs’ DataMind AI platform for industrial intelligence. Shape distributed systems, analytics, and real-time machine diagnostics.

ILIzraēlaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuBackend inženierisProgrammatūras inženieris
BigQueryGoogle Cloud PlatformMākonisPostgresPythonSadalītās sistēmas

Apraksts

  • Lead complex features from requirements and technical design through implementation, testing, and production release.
  • Create scalable backend systems for industrial AI, high-volume machine data, analytics, and real-time diagnostics.
  • Diagnose complex problems, trace data flows, question assumptions, and make well-founded engineering decisions.
  • Apply AI coding tools and agents to implementation, architecture exploration, reviews, testing, debugging, and documentation.
  • Translate specifications into working software and take responsibility for delivery.
  • Help guide technical design and decisions on scalability, maintainability, reliability, and long-term architecture.
  • Mentor developers, strengthen engineering practices, and promote effective AI-assisted workflows.
  • Work with product, frontend, data engineering, and other teams to deliver value to customers.

Prasības

  • At least six years of backend software engineering experience and strong Python skills.
  • Strong analytical and problem-solving abilities.
  • Expertise in software architecture and system design, including scalability, data modeling, API design, and distributed systems.
  • Practical experience with AI-assisted software development.
  • Experience with cloud services; GCP is preferred.
  • Strong experience with PostgreSQL, BigQuery, or comparable transactional and analytical databases.
  • Knowledge of software engineering best practices, automated testing, CI/CD, and code quality.
  • A proactive, independent, motivated approach focused on delivering results.
  • Excellent communication and collaboration skills, including mentoring and leading technical discussions.
  • A bachelor’s degree in computer science or a related field, or equivalent professional experience.

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