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 or 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; proactively identify risks and dependencies
- Create clean, maintainable, and reusable code; 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 in application lifecycle management and engage with product and design teams to grasp end-user requirements
- Conduct thorough code reviews, mentor other engineers, and champion best engineering practices and software craftsmanship
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
- Proven experience with P2P architectures (P2P experience is a MUST)
- Experience with libp2p or similar P2P 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
- Deep understanding of Agile development principles and the Agile Manifesto
- Strong experience with performance tuning and system programming
- Hands-on experience with container orchestration (Kubernetes) and Docker (preferred)
- Experience managing production environments and infrastructure engineering (preferred)
- Skilled in using tracing/logging systems to diagnose production issues (preferred)
- Strong background in building large-scale, high-availability systems (preferred)
- Strong background in multi-cloud deployments (AWS, Azure, GCP) (preferred)
- English is mandatory; French is a plus