Senior Software Engineer – Systems

• Architect and implement lakeFS Mount – our our storage abstraction that empowers AI/ML large-scale workflows by exposing petabytes of lakeFS data as a local file system across Linux, macOS, Windows, and Kubernetes via CSI
• Optimize file system level performance using novel caching techniques, efficient metadata handling and prefetching while enabling write-mode consistency for millions of large files
• Design and develop robust distributed backend services that power lakeFS, written primarily in Go
• Work across our stack: cloud-native infrastructure (Kubernetes, Terraform, ArgoCD), data engineering SDKs (Iceberg, Spark), and performance-critical components
• Ensure our product remains reliable, scalable, and secure in production – handling billions of daily API calls across multiple clouds
• Collaborate closely with teammates on-site and in a distributed, remote environment
• Contribute ideas and feedback to shape product direction based on customer and community input
• Help foster a culture of trust, ownership, and continuous learning

• 7+ years of experience in backend development with emphasis on virtualization, cloud, networking, or storage technologies such NFS / FUSE / SMB / CFAPI or CSI Drivers
• Proficiency in Go (preferred) or similar backend languages (C++, Java, Rust etc.)
• Strong grasp of data structures, system design and software architecture principles
• Experience working with remote teams and excellent written and verbal communication skills
• Passion for open source, data infrastructure, and empowering engineers
• Experience with at least one of Windows, Mac or Linux & shell scripting (Python, Bash)

A BSc/MSc in Computer Science (or similar) – A plus