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Cloud FinOps Architect

Motorola Solutions

Cloud FinOps Architect

Motorola Solutions

Bangalore, India

·

On-site

·

Full-time

·

1w ago

Required Skills

Cloud architecture

Python

Infrastructure as Code

AWS

Azure

GCP

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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department Overview

The Core Platform Services team is responsible for the development and operations of critical cloud infrastructure, reliability, security and Business operational services, in support of Motorola Solutions' public and hybrid cloud-based Software as a Service (SaaS) solutions for public safety customers. This team is part of Motorola Solutions’ Software Enterprise division, which offers secure, reliable and efficient team communications, workflow and operational intelligence solutions for mission critical public safety and enterprise markets throughout the world. Our services leverage Cloud Computing infrastructure on Azure, AWS and GCP to build at scale.

Job Description:

Role Summary

The Cloud Fin Ops Architect is the technical engine of the MSI Fin Ops team, bridging the gap between high-level financial targets and engineering execution. Unlike traditional financial roles, this position requires a deep engineering background to provide architectural and code-level optimization insights. You will work directly with our Fin Ops Champions to identify and implement technical changes that drive our $\sim$$15M annual savings goal. You will also oversee the technical "how" of governance through scripting and automation, ensuring cost-efficiency is baked into the Motorola Solutions software development lifecycle.

Key Responsibilities & Time Distribution

Technical Optimization & Advisory (40%)

  • Conduct deep-dive architectural reviews of high-spend services to identify inefficiencies.

  • Provide specific code-level and infrastructure recommendations, such as refactoring for serverless, right-sizing containerized environments, and optimizing storage tiering logic.

  • Advise engineering teams on cost-efficient design patterns during the initial design phase to prevent "technical debt" in the cloud bill.

Fin Ops Champions Program Engagement (30%)

  • Act as the primary technical partner for the cross-MSI network of Fin Ops Champions.

  • Translate high-level savings targets into actionable technical backlogs for engineering squads.

  • Provide the "technical proof" and benchmarks needed for teams to adopt and prioritize optimization recommendations.

Governance Automation & Scripting (20%)

  • Oversee and develop scripts (e.g., Python, Bash) and Infrastructure as Code (Terraform) for automated governance.

  • Build and maintain technical "guardrails" that prevent cost leaks before they occur.

  • Automate the detection and remediation of orphaned resources, unoptimized snapshots, or inefficient architectural patterns.

Executive Technical Reporting (10%)

  • Translate complex technical optimization successes into business value metrics for Senior Leadership.

  • Provide technical feasibility assessments for long-term cloud financial commitments and strategic procurement decisions.

Basic Requirements:

Basic Requirements

  • Technical Background: 5+ years of experience in Software Engineering, Cloud Architecture, or DevOps.

  • Cloud Depth: Expert-level understanding of AWS, Azure, or GCP services and how architectural choices (e.g., Microservices vs. Monolith, SQL vs. NoSQL) impact billing.

  • Coding & Scripting: Proficiency in at least one programming language (e.g., Python, Go) and hands-on experience with Infrastructure as Code (Terraform, CloudFormation).

  • Analytical Skills: Ability to parse complex billing data and correlate it with application performance and architectural bottlenecks.

  • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field

Desired Qualifications & Attributes

  • Professional Certification: Professional-level Cloud Architect certification (e.g., AWS Solutions Architect Professional).

  • Modern Infrastructure Expertise: Deep knowledge of Kubernetes (K8s) cost management, pod right-sizing, and cluster optimization.

  • Fin Ops Leadership: Fin Ops Certified Practitioner (FOCP) with experience scaling technical governance across large, decentralized engineering organizations.

  • Strategic Influence: The ability to challenge engineering "status quo" with data-driven architectural alternatives that save money without sacrificing performance or reliability.

  • The "Bridge": An innate ability to explain a $100k "code fix" to a developer and a 10% "margin improvement" to a CFO in the same conversation.

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.

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About Motorola Solutions

Motorola Solutions

Provides safety and security products and services.

Chicago

Headquarters

Reviews

4.1

27 reviews

Work Life Balance

3.6

Compensation

4.1

Culture

4.4

Career

4.5

Management

3.6

85%

Recommend to a Friend

Pros

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cutting-edge technology stack and interesting technical challenges

Cons

Fast-paced environment with tight deadlines

Internal politics in some teams

Organizational changes and restructuring can be disruptive

Salary Ranges

43 data points

Mid/L4

Senior/L5

Mid/L4 · Data Relationship Manager

1 reports

$143,231

total / year

Base

$110,178

Stock

-

Bonus

-

$143,231

$143,231

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Phone Screen

2

Technical Interview

Common Questions

Technical coding questions

System design concepts

Programming fundamentals