SENIOR LEAD BACKEND ENGINEER

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 serverside 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 peertopeer communication Ensure crossplatform 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 enduser 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 56 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 multithreaded programming Have practical knowledge of internet technologies such as TCP/IP HTTP HTML and XML Familiarity with serviceoriented designs and methodologies including web services REST and JSON Ability to create wellstructured RESTful APIs and comprehend their implications on clientside application code Understanding of Agile fundamentals and adherence to the Agile Manifesto.
Preferred qualifications.
Handson 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 businesscritical largescale systems with high availability Familiarity with public cloud services particularly Amazon AWS Azure or OVH Exposure to continuous delivery pipelines.
Remote Work.
No