R&D Engineer (Backend)

Job Description:

• Location: Fully remote, EU timezone (CET +/- 2hours)
• Start date: ASAP
• Languages: English is mandatory; French is a plus
• Our client: Cloud Computing / Blockchain / AI - European Saas
  

Responsibilities:

• Design and develop scalable, distributed, server-side software applications and microservices
• Collaborate within an Agile Scrum team to define and prioritize backlog items, and proactively identify risks and dependencies
• Create clean and maintainable code solutions
• Implement remote solutions facilitating peer-to-peer communication
• Ensure cross-platform functionality and application compatibility
• Participate actively in the application lifecycle management
• Optimize solutions for performance and reliability
• Establish and enhance security measures
• Enhance code quality by writing unit tests and implementing automation
• Engage closely with product and design teams to grasp end-user requirements thoroughly
• Foster collaboration with team members to integrate innovative ideas
• Develop reusable code libraries
• Conduct thorough code reviews and provide mentorship to development teams
• Champion and uphold best engineering practices, maintaining high standards for quality and craftsmanship.

Required qualifications:

• Minimum 5-6 years of experience as a Senior/Lead Backend Engineer
• Hold an MS degree in Computer Science or a closely related technical field
• Demonstrate technical proficiency in Go/Java technologies
• Possess extensive understanding of design patterns and multi-threaded programming
• Have practical knowledge of internet technologies such as TCP/IP, HTTP, HTML, and XML
• Familiarity with service-oriented designs and methodologies including web services, REST, and JSON
• Ability to create well-structured RESTful APIs and comprehend their implications on client-side application code
• Understanding of Agile fundamentals and adherence to the Agile Manifesto.

Preferred qualifications:

• Hands-on experience with container orchestration platforms like Kubernetes and container runtimes like Docker
• Proficiency in using tracing and logging systems for rapid diagnosis of production issues
• Track record of developing business-critical, large-scale systems with high availability
• Familiarity with public cloud services, particularly Amazon AWS, Azure, or OVH
• Exposure to continuous delivery pipelines.