Senior Manager, Platform & AI Infrastructure

Motorola Solutions

Chicago (IL)

On-site

USD 155,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off

Job summary

Motorola Solutions is seeking aSenior Manager of Software Engineering to lead the Platform & Video Infrastructure organization in Chicago. You will guide a distributed team delivering high-throughput GCP infrastructure, AI-powered evidence pipelines, and secure video ingestion systems, balancing strategic vision with hands-on architectural leadership.

The role requires 10+ years in software/infra, 3+ years in engineering management, and 2+ years in DevOps.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 10+ years of progressive software, infrastructure, and platform engineering experience.
  • 3+ years in direct engineering management leading distributed teams and 2+ years of DevOps experience.

Responsibilities

  • Lead a distributed team of Senior Engineers, Tech Leads, and Engineering Managers building high-throughput GCP infrastructure, AI-powered evidence pipelines, and core video ingestion systems.
  • Bridge long-term technical strategy with operational execution—driving platform reliability and scalable security architectures.
  • Drive cross-organizational alignment with partner connector teams to standardize APIs, protocols, and ingestion performance.

Skills

Leadership
Strategic thinking
Cross-functional
Communication
Cloud architecture
Java (Spring Boot)
Python
Kafka
OIDC
mTLS

Education

Bachelor’s degree in Computer Science or related

Tools

GCP (GKE, Shared VPC)
Terraform
Kafka
Java (Spring Boot)
Python
OIDC
mTLS

Job description

Motorola Solutions is seeking aSenior Manager of Software Engineering to lead the Platform & Video Infrastructure organization in Chicago. You will guide a distributed team delivering high-throughput GCP infrastructure, AI-powered evidence pipelines, and secure video ingestion systems, balancing strategic vision with hands-on architectural leadership.

The role requires 10+ years in software/infra, 3+ years in engineering management, and 2+ years in DevOps.

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