Cube RM
Cube RM
Cube RM өмір туралы ғылымдар және денсаулық сақтау салаларында жұмыс істейтін ұйымдарға арналған жасанды интеллект негізіндегі тендерлерді басқару шешімдерін әзірлейді. Оның платформасы командаларға тиісті мемлекеттік тендерлерді табуға, мүмкіндіктерді бағалауға, баға белгілеу стратегияларын қалыптастыруға және тендер деректерін коммерциялық шешімдерге бағыт-бағдар беру үшін пайдалануға көмектеседі. Tender Central, Pricing Guidance және Tender BI Plus+ сияқты өнімдер табиғи тілді өңдеу, машиналық оқыту және бизнес-аналитиканы біріктіріп, өтінім беру үдерісін жүйелеуге қолдау көрсетеді. Cube RM құралдары тендерлердің көрінуін арттыруға, қолмен жасалатын талдауды азайтуға және ұйымдарға мемлекеттік сектор келісімшарттарына қатысу кезінде неғұрлым негізделген шешімдер қабылдауға көмектесу үшін жасалған.

Backend Software Engineer - C# and .NET, Hybrid Greece

Build scalable APIs, data pipelines, and AI-enabled features for Cube RM’s Life Sciences tender software. Develop dependable data products with C#, .NET, SQL, and Azure.

Сипаттама

  • Create, develop, and support robust backend services and APIs that meet business requirements.
  • Build and operate pipelines that collect public tender data across sources and countries, maintaining data quality, normalization, and monitoring.
  • Develop and maintain reliable data-processing and extraction components, applying AI where it adds value.
  • Administer, monitor, and improve relational database operations supporting high-volume data workflows.
  • Use an AI-first development approach with agentic tools such as Claude Code while taking responsibility for software quality and accuracy.
  • Integrate AI-powered capabilities into products and data workflows.
  • Review code, including AI-generated contributions, and uphold strong engineering standards.
  • Support CI/CD workflows, automated testing, and observability practices.
  • Investigate technical issues, identify root causes, and implement durable fixes.
  • Protect and manage data responsibly, including when using AI tools.
  • Partner with Product, AI, and customer-facing teams to clarify requirements and deliver data products to clients.

Талаптар

  • Bachelor’s degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
  • At least two years of professional software engineering experience, with a strong foundation in backend infrastructure and software design.
  • Experience handling large datasets and building data pipelines, preferably in a SaaS setting.
  • Strong proficiency in C# and modern .NET.
  • Strong knowledge of relational databases and SQL, including schema design and query optimization.
  • Practical experience using AI coding assistants or agents in daily development, with the judgment to validate, revise, or replace their output.
  • Understanding of RESTful API design and clean, maintainable architecture.
  • Familiarity with Azure services such as App Services, Service Bus, Functions, and Storage, or an equivalent cloud platform.
  • Excellent problem-solving, analytical, critical-thinking, and attention-to-detail skills.
  • Clear communication, personal ownership, and a collaborative working style.
  • Interest in emerging AI tools and methods, with the ability to learn quickly as they develop.
  • Preferred: Python experience for data processing, extraction, or AI integration.
  • Preferred: Experience with message queues or event-driven systems such as Service Bus or RabbitMQ.
  • Preferred: Experience with Elasticsearch or comparable search platforms, including vector or semantic search.
  • Preferred: Experience handling multilingual or unstructured document data.
  • Preferred: Previous experience in pharmaceuticals, medical technology, healthcare, or public procurement.

Артықшылықтар

  • Competitive benefits package including medical and life insurance and a meal e-card.
  • Supportive workplace with office-related perks such as advanced work and IT equipment, a welcome package, and wellness offerings.
  • Flexible scheduling through a hybrid work model.
  • Training and development support, including e-learning options and subsidized certifications.
  • Opportunity to work with advanced technologies and modern software and product development practices.
  • Participation in local and international technology communities and meetups.

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