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.
Source ⇲
