Test Diagnosis - Systems Triage Analyst

Core Competencies2 Systems Telemetry & Log Parsing Strong understanding of complex software and distributed system architectures. Ability to parse execution traces, analyze telemetry data, and decode error messages. Experience identifying configuration gaps, software regressions, and system behavior anomalies through log analysis. Intent Interpretation & Boundary Value Analysis Ability to understand testing objectives and translate requirements into diagnostic investigations. Strong understanding of edge cases, failure thresholds, and tolerance analysis. Defect Articulation & Technical Translation Exceptional written and verbal communication skills. Strong capability to communicate technical findings to software engineering teams with clarity and precision. Required Skills Root Cause Analysis (RCA) Log Analysis & Troubleshooting Defect Triage & Validation Software Quality Assurance Data Interpretation Regression Investigation

Job Summary We are seeking a highly analytical Test Diagnosis & Systems Triage Analyst to support the validation and continuous improvement of complex software and autonomous systems. This role focuses on identifying, diagnosing, and communicating system failures through deep log analysis, telemetry interpretation, defect triage, and root-cause investigation. The ideal candidate possesses strong troubleshooting abilities, exceptional attention to detail, and the capability to transform ambiguous failures into actionable engineering insights. Key Responsibilities Analyze execution traces, telemetry streams, system logs, and failure reports to identify root causes of regressions and system issues. Investigate complex software behaviors and isolate configuration gaps, defect patterns, and failure triggers. Interpret test scenarios, specifications, and validation objectives to understand intended system behavior and testing goals. Perform triage activities for defects identified during validation, simulation, and testing cycles. Develop clear, concise, and data-driven defect reports for software engineering teams.

Preferred Technical Skills Python or Shell Scripting SQL and Data Querying Linux/Unix Environment Splunk, ELK, Kibana, Grafana, Datadog or similar monitoring tools Jira, Azure DevOps, Bugzilla, or defect management platforms Candidates from the following backgrounds are highly preferred: Software Quality Assurance (QA) Tier-3 Technical Support Site Reliability Engineering (SRE) Data Analytics System Operations Engineering Autonomous Vehicle / ADAS Testing