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Senior / Lead Backend Engineer (Go, Golang)
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,
- 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 communication - Ensure
- 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
- 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
- threaded programming - Have practical knowledge of internet technologies such as TCP/IP, HTTP, HTML, and XML
- Familiarity with
- oriented designs and methodologies including web services, REST, and JSON - Ability to create
- structured RESTful APIs and comprehend their implications on
- 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
- critical,
- scale systems with high availability - Familiarity with public cloud services, particularly Amazon AWS, Azure, or OVH
- Exposure to continuous delivery pipelines.
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