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.