Principal Solutions Architect - Observability and AI

Role overview

Principal Solutions Architect - Observability and AI at Motorola Solutions

We are seeking a visionary Principal Systems Architect to design and scale our next-generation observability and reliability frameworks.

You will champion modern telemetry practices, build predictive monitoring systems, and ensure our infrastructure meets the highest standards of high availability.

Basic Requirements

Responsibilities

• Architect Observability Frameworks: Design end-to-end telemetry systems focusing on metrics, logs, and traces.
• Implement Advanced Analytics: Build anomaly detection engines using system KPIs to catch issues before impacts occur.
• Drive Predictive Analysis: Deploy machine learning or statistical models to forecast capacity and system degradation.
• Design KPI Dashboards: Create intuitive, multi-tier visualization dashboards offering both high-level system health and granular component views.
• Enforce High Availability: Establish architectural patterns aligned with "Five Nines" (99.999%) availability principles.
• Define Service Metrics: Establish SLA, SLO, and SLI frameworks across distributed engineering teams.
• Required Technical Skills
• Observability Stacks: Deep expertise in Datadog, OpenTelemetry, or Prometheus/Grafana.
• Data & Analytics: Strong hands-on experience with statistical analysis, time-series data, and predictive alerting.
• Cloud Architecture: Advanced knowledge of AWS, Azure, or GCP infrastructure and microservices scaling.
• Reliability Engineering: Proven track record of designing fault-tolerant, self-healing distributed systems.
• AIOps skills
• Anomaly Detection Systems – Design algorithms to spot baseline deviations instead of relying on static, manual alert thresholds.
• Correlative Root-Cause Analysis – Build systems that automatically link spikes in metrics to errors in logs and traces.
• Predictive Capacity Planning – Use time-series forecasting to predict infrastructure bottlenecks and auto-scale resources before failures occur.
• Alert Noise Reduction – Implement ML-driven event deduplication and grouping to eliminate alert fatigue.
• Leadership skills
• Proven ability to mentor engineering teams and communicate complex technical concepts to Leadership team.
• Education Qualification
• Bachelor's degree in comptuter scienece or Electronics Engineering
• Travel Requirements
• None
• Relocation Provided
• Position Type
• Experienced
• Referral Payment Plan
• Yes

Employment details

• Location: Bangalore [India]

About the employer

• At Motorola Solutions, we believe that everything starts with our people.

Additional role details

• Company Overview
• We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere.
• We build and connect technologies to help protect people, property and places.
• Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations.
• Connect with a career that matters, and help us build a safer future.
• Department Overview
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• Statement
• Motorola Solutions is an Equal Opportunity Employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
• We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.
• If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.