Tech Stack
AWSAzureCloudDockerGoGoogle Cloud PlatformJavaKubernetesMicroservicesTCP/IP
About the role
- Design and develop scalable, distributed, server-side software applications and microservices
- Develop and optimize mission-critical software with emphasis on system programming and performance tuning
- Implement robust peer-to-peer (P2P) communication solutions; contribute to/build projects using libp2p or similar
- Ensure cross-platform functionality and application compatibility
- Collaborate within an Agile Scrum team to define and prioritize backlog items and identify risks/dependencies
- Create clean, maintainable, and reusable code; conduct thorough code reviews and mentor other engineers
- Optimize solutions for performance, reliability, and security
- Establish and enhance infrastructure, including deployment pipelines and observability tools
- Work with multi-cloud environments (AWS, Azure, GCP)
- Participate actively in the application lifecycle management and engage with product and design teams
Requirements
- Minimum 5-6 years of experience as a Senior/Lead Backend Developer
- MS degree in Computer Science or a closely related technical field
- Demonstrated technical proficiency in Go and/or Java
- P2P experience is a MUST; experience with libp2p or similar libraries
- Strong understanding of design patterns and multi-threaded programming
- Solid grasp of internet protocols and technologies: TCP/IP, HTTP, HTML, XML
- Familiarity with service-oriented designs and methodologies: REST, JSON
- Ability to build well-structured, secure RESTful APIs and understand client-side implications
- Strong emphasis on system programming and performance tuning
- Deep understanding of Agile development principles and the Agile Manifesto
- English is mandatory; French is a plus
- Strong experience with cloud providers (AWS, Azure, GCP) highly desirable
- Hands-on experience with container orchestration (Kubernetes) and Docker (preferred)
- Experience in infrastructure engineering and managing production environments (preferred)
- Skilled in using tracing/logging systems to diagnose production issues (preferred)
- Proven track record building large-scale, high-availability systems (preferred)