Principal Solutions Architect - Observability and AI
Motorola Solutions (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and scale next-generation observability frameworks focusing on metrics, logs, and traces to ensure high availability.
- Build and deploy predictive monitoring systems including anomaly detection and capacity forecasting using machine learning/statistical models.
- Establish SLA, SLO, SLI frameworks and create multi-tier KPI dashboards to provide system health visibility across distributed teams.
Minimum Requirements
- Bachelor's degree in Computer Science or Electronics Engineering.
- Proven expertise with observability stacks such as Datadog, OpenTelemetry, or Prometheus/Grafana.
- Strong experience in cloud architectures (AWS, Azure, GCP) and reliability engineering for fault-tolerant distributed systems.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting and scaling telemetry and observability solutions with predictive analytics capabilities.
- Skilled in designing AIOps systems focused on anomaly detection, root-cause analysis, and alert noise reduction using machine learning.
- Proven leadership ability to mentor engineering teams and effectively communicate technical strategies to leadership.