Infrastructure Software Engineer, Metadata Core

Location: Remote - Poland

Department: Persistent Systems (Sub Team)

Role Description

Responsibilities

• Design and maintain distributed database systems providing low-latency, strongly consistent data access
• Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals
• Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability
• Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs
• Contribute to system design reviews, postmortems, and reliability improvements
• Write high-quality, efficient code in Go and Rust for performance-critical systems

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• 5+ years of professional software engineering experience, with strong expertise in distributed systems fundamentals including replication, consistency, partitioning, and fault tolerance
• Experience building database platforms, distributed databases, storage systems, or large-scale database infrastructure
• Proficiency in Go, Rust, C++ or similar systems languages
• Familiarity with consensus and coordination systems (e.g. Raft, Paxos, ZooKeeper, etcd)
• Experience operating production services and participating in on-call rotations
• Strong debugging and performance analysis skills
• Excellent collaboration and communication abilities across teams

Preferred Qualifications

• Experience building distributed databases or storage systems
• Practical experience with and deep understanding of data structures used in storage systems (e.g. LSM trees, B-trees, Hash Indexes)
• Experience operating database systems (e.g. MySQL, Postgres, Cassandra)
• Experience with distributed caching, either custom built or operating open source options such as Memcached or Redis
• Experience improving reliability and performance in high-scale data systems
• Experience working with cross-functional teams to understand their current use cases, identify future needs and requirements, and incorporate them into the team’s roadmap.
• Interest in deepening distributed systems expertise and expanding technical leadership

Compensation