Principal Solutions Architect - Observability and AI
Motorola Solutions4 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design end-to-end observability frameworks for metrics, logs, and traces.
- Build anomaly detection engines and predictive monitoring systems using system KPIs, statistical analysis, time-series forecasting, and machine learning.
- Create multi-tier dashboards showing high-level system health and granular component views.
- Establish fault-tolerant, self-healing architectural patterns aligned with Five Nines availability.
- Define SLA, SLO, and SLI frameworks across distributed engineering teams.
- Build automated correlative root-cause analysis linking metrics, logs, and traces.
- Implement predictive capacity planning, resource auto-scaling, and ML-driven alert deduplication and grouping.
- Mentor engineering teams and communicate complex technical concepts to leadership.
Requirements
- Bachelor's degree in computer science or electronics engineering.
- Deep expertise in Datadog, OpenTelemetry, or Prometheus/Grafana.
- Hands-on experience with statistical analysis, time-series data, and predictive alerting.
- Advanced knowledge of AWS, Azure, or GCP infrastructure and microservices scaling.
- Proven experience designing fault-tolerant, self-healing distributed systems.
- Ability to mentor engineering teams and communicate complex technical concepts to leadership.
Benefits
- No travel required.
- No relocation provided.
- Referral payment plan available.
Tech Stack
Categories
Solutions Engineering
About Motorola Solutions
Motorola Solutions builds mission‑critical communications, video security and access control, body‑worn cameras, and command‑center software for public safety agencies and enterprises. It sells radios and LMR/P25 systems, cloud software, and managed services used by police, fire, and critical infrastructure operators. Headquartered in Chicago and publicly traded on the NYSE (MSI), the company was formed in 2011 after Motorola’s split and operates globally.