Sr Software Engineer - Go

Job Summary

• lightweight agents that run on customer machines and do the copying
• a cloud control plane that schedules and monitors those agents
• the cloud-to-cloud migration services that connect us to other storage platforms

What you'll do

• Own the architecture of the migration agents, control plane and cloud-to-cloud services. Set direction on scaling, fault tolerance and multi-region deployment, and write the design docs others build from.
• Make large migrations fast and predictable. Improve throughput across long-distance, high-latency links. Tune concurrency, chunking and retries. Make sure a migration with millions of files finishes on schedule.
• Guarantee data integrity. Design end-to-end checks (checksums, validation passes, reconciliation reports) so customers can prove every file and permission arrived correctly.
• Build resilience into every layer. Handle throttling, gateway timeouts, flaky customer networks and unstable third-party storage gracefully, with safe retries and no duplicates or data loss.
• Run it like a production service. Drive observability (structured logs, metrics, alerting) for agents spread across thousands of customer environments. Lead incident investigations and turn post-mortem findings into lasting fixes.
• Shape how we ship. Improve release safety for software installed on customer machines (staged rollouts, version compatibility, upgrades), and for the control plane on Kubernetes with GitOps.
• Partner across functions with Product, Professional Services and Support to turn real migration problems into roadmap priorities. Be the senior technical voice on escalations involving our largest customers.
• Multiply the team through design reviews, code reviews, mentoring and clear technical writing.

Your qualifications

• 7+ years building production software, including several years owning the design of distributed systems or data-intensive services.
• Strong in Go, Intermediate in Java (or another systems language such as Python, plus willingness to work mainly in Go).
• Deep understanding of file systems and storage: SMB/NFS shares, object storage (S3, Azure Blob/Files, GCS), metadata, permissions/ACLs, and why moving files at scale is hard.
• Hands-on experience making systems reliable over unreliable networks: retries, timeouts, backpressure, rate limiting, idempotency and long-running resumable jobs.
• Experience running services on Kubernetes in a major cloud (GCP, Azure or AWS), with solid habits around observability and incident response.
• A track record of leading technical work across teams: writing designs, driving decisions, and delivering complex projects to production.
• Clear communication with engineers, customers and leadership alike.

Nice to have

• Experience with large-scale data migration, backup or sync products, or with tools like rclone.
• Experience shipping software that runs on customer machines (Windows services, installers, auto-update, edge appliances).
• Experience integrating with cloud content platforms APIs (SharePoint/OneDrive, Box, Dropbox, Google Drive), including their throttling and pagination.
• Experience with hybrid-cloud or customer-owned-storage setups.
• Experience applying AI/LLM tooling to operations: log triage, automated diagnostics, support automation.

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