Infrastructure Software Engineer Metadata Core

Accountabilities:

• • Design, develop, and maintain large-scale distributed database and storage systems.
  • Build low-latency, strongly consistent infrastructure with high availability and durability.
  • Design and optimize replication, partitioning, coordination, and consensus mechanisms.
  • Develop and improve caching solutions to enhance system performance and scalability.
  • Build performance-critical infrastructure using Go, Rust, C++, or similar systems programming languages.
  • Operate production systems and troubleshoot complex reliability, performance, and availability issues.
  • Participate in system design reviews, postmortems, and initiatives focused on improving system reliability.
  • Collaborate with infrastructure and product engineering teams on technical solutions and priorities.
  • Contribute to the longer-term infrastructure roadmap and evolution of distributed data platforms.

  Requirements:

  • At least 5 years of professional software engineering experience.
  • Strong understanding of distributed systems fundamentals, including replication, consistency, partitioning, and fault tolerance.
  • Experience building or operating database platforms, distributed databases, storage systems, or large-scale database infrastructure.
  • Strong programming experience in Go, Rust, C++, or a similar systems programming language.
  • Hands-on experience working with production systems and resolving complex technical issues.
  • Strong debugging, performance analysis, and system optimization skills.
  • Familiarity with distributed consensus and coordination technologies such as Raft, Paxos, ZooKeeper, or etcd.
  • Ability to contribute effectively to system design discussions and collaborate across engineering teams.

  Benefits:

  • Fully remote working model.
  • Solid and competitive salary.
  • Opportunity to work in a multinational environment on international projects.
  • Comprehensive healthcare coverage.
  • Long-term B2B contract with a stable project pipeline.
  • Exposure to large-scale distributed systems, database infrastructure, and performance-critical engineering challenges.