Staff Engineer — Customer-Facing Distributed Systems

DDN

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

DDN is seeking a Staff Engineer for the Infinia Core team, a hands-on role combining deep distributed-systems engineering with direct customer engagement in production environments.

You will own complex escalations end-to-end, drive incident response, and mentor engineers while advancing AI/automation for reliability and diagnostics. This role requires strong technical depth and customer impact.

Qualifications

  • Significant experience in enterprise storage, distributed systems or cloud infrastructure with leadership at Senior/Staff level.
  • Proficiency in Linux, kernel troubleshooting and debugging.
  • Strong coding ability in Python or C++.
  • Experience diagnosing complex issues with diagnostic tools.

Responsibilities

  • Communicate technical issues clearly to customers, engineers and executives.
  • Own complex customer escalations from diagnosis to resolution and RCA.
  • Lead live incident response and cross-functional investigations.
  • Debug distributed systems, storage and performance issues across layers.
  • Reproduce customer issues and feed findings into product improvements.
  • Develop runbooks, troubleshooting guidance and performance-tuning practices.
  • Mentor engineers and influence architectural best practices.
  • Partner with Field CTOs, Solutions Architects and Sales Engineers on strategic issues.
  • Use AI, automation and observability to improve diagnostics and MTTR.
  • Participate in on-call rotation for after-hours support.

Skills

Enterprise storage
Distributed systems
Cloud infrastructure
Python
C++
Linux troubleshooting
Technical leadership
Customer engagement

Tools

Prometheus
Grafana
ELK
OpenTelemetry

Job description

DDN is seeking a Staff Engineer for the Infinia Core team, a hands-on role combining deep distributed-systems engineering with direct customer engagement in production environments.

You will own complex escalations end-to-end, drive incident response, and mentor engineers while advancing AI/automation for reliability and diagnostics. This role requires strong technical depth and customer impact.

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