Principal Solutions Architect - Observability and AI

Motorola Solutions; Bengaluru; On-site; INR 5,500,000 - 7,500,000; Full time

Job summary

Motorola Solutions seeks a seasoned Principal Systems Architect to design and scale next-generation observability and reliability frameworks, champion telemetry practices, and build predictive monitoring systems for high availability.

You will lead cross-disciplinary teams, define SLA/SLO frameworks, and ensure scalable, fault-tolerant distributed systems across cloud platforms.

Qualifications

• Experience designing telemetry systems with metrics, logs and traces.
• Ability to build predictive monitoring and anomaly detection.
• Strong cloud architecture experience across AWS/Azure/GCP.
• Proven track record of fault‑tolerant, self‑healing distributed systems.

Responsibilities

• Architect observability frameworks end-to-end.
• Implement predictive analytics to forecast capacity and degradation.
• Design KPI dashboards and SLA/SLO/SLI definitions.
• Drive high availability aligned with industry standards.
• Lead and mentor engineering teams on reliability practices.

Skills

Observability stacks

Data & analytics

Cloud architecture

Reliability engineering

AIOps

Root-cause analysis

Predictive capacity planning

Alert noise reduction

Education

Bachelor's degree in computer science

Electronics engineering

Tools

Datadog

OpenTelemetry

Prometheus/Grafana

Job description

Company Overview

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

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

Key Responsibilities

Key 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

• None

Position Type

• Experienced

Referral Payment Plan

• Yes

EEO 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.

MOTOROLA SOLUTIONS OVERVIEW

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

Learn more at www.motorolasolutions.com.