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Backend Engineer – Remote

YO IT Consulting

Remote
Contract Remote Mid 🇬🇧 English
RESTful APIs Microservices architecture NoSQL databases Data modeling System security Authentication Authorization AWS GCP Azure Docker Kubernetes CI/CD pipelines Automated testing frameworks

Job description

About the role

Join the team as a Backend Engineer, building robust, scalable backend systems for innovative digital products. Work remotely with top‑tier engineers in a dynamic environment, driving the core technology infrastructure.

Key responsibilities

  • Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements.
  • Collaborate cross‑functionally to translate business needs into technical specifications and impactful backend solutions.
  • Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences.
  • Write clean, well‑documented, and thoroughly tested code following best engineering practices.
  • Participate in code reviews, mentoring, and knowledge‑sharing sessions with fellow engineers.
  • Monitor, troubleshoot, and resolve production issues, focusing on root‑cause analysis and continuous improvement.
  • Contribute to architecture discussions and decisions, bringing innovative ideas and a solutions‑oriented mindset.

Required profile

  • 3+ years of proven backend development experience.
  • Demonstrated ability to design and implement RESTful APIs and microservices architectures.
  • Strong knowledge of relational and NoSQL databases and data‑modeling principles.
  • Understanding of system security, authentication, and authorization best practices.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent written and verbal communication skills and a collaborative, proactive approach.
  • Ability to thrive in a fast‑paced, fully remote expert team environment.

Required skills

  • RESTful APIs
  • Microservices architecture
  • Relational databases
  • NoSQL databases
  • Data modeling
  • System security, authentication, and authorization
  • Cloud platforms: AWS, GCP, Azure
  • Containerization: Docker, Kubernetes
  • Event‑driven or serverless architectures (preferred)
  • CI/CD pipelines
  • Automated testing frameworks

Questions fréquentes

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Le contrat proposé est un Contract.

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Published 4 months ago

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