Lead Engineer, Issue Management & Triage
Required skills
- Issue Management
- Triage
- Robotics
- Python
- Data Pipelines
- Telemetry Systems
- Monitoring
- Alerting
- Logging
- Internal Tools
Nice to have
- Backend Services
- System Integrations
- Dashboards
- Reporting Systems
Role summary
Diligent is seeking a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team responsible for detecting, triaging, diagnosing, and resolving issues within their deployed robotic fleet. This highly technical, hands-on role involves designing and building infrastructure, automation pipelines, and internal tools using Python and other backend technologies. The position requires bridging the gap between the Remote Operations Center and Engineering, defining performance metrics, and establishing best practices for Root Cause Analysis. The ideal candidate has 7+ years in relevant technical or program management roles, including 3+ years of people management, and experience with complex real-world systems like robotics.
What we’re doing isn’t easy, but nothing worth doing ever is.
Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors.
We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale.
Location: Austin preferred, Remote possible (U.S.)Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days)
What You’ll Do:
Own Issue Management & Triage Systems
Build Tools & Automation (Hands-On)
Bridge Operations & Engineering
Performance Measurement & Classification Frameworks
Root Cause Analysis & Continuous Improvement
What We’re Looking For:
Technical Skills
Systems & Product Thinking
Mindset
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