Senior Cloud Ops Engineer (Cloud, Devops & Kubernetes)
Motorola Solutions · Posted Oct 21
Mission-critical communications, command center software, and video security solutions for public safety and enterprise
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About the role
The Core Platforms & Services team within Motorola Solutions' Software Enterprise division develops and operates critical cloud infrastructure and platform services supporting public and hybrid cloud SaaS solutions for public safety customers, leveraging Azure, AWS and GCP. The role focuses on building robust Kubernetes platforms across multi-cloud systems, driving full lifecycle management of managed and self-hosted clusters, and maintaining monitoring, SLAs and SLOs. This engineer acts as a key partner to application teams, automating infrastructure provisioning and CI/CD delivery while integrating AI-assisted and Agentic AI tooling into operations.
What you will do
- Provision, manage, and drive the full Lifecycle Management (LCM) of Kubernetes clusters across multi-cloud environments, spanning both cloud-managed clusters and self-hosted cluster deployments.
- Network, cloud, and security design and implementation of core services used by our Public Safety cloud solutions.
- Support cloud platform operations and sovereign operations including issue troubleshooting and resolution.
- Define and meet scalability, availability, security, and performance goals.
- Rapidly build and evolve major features in collaboration with product management.
- Utilize Helm charts extensively to deploy, update, and manage core application manifest components across clusters.
- Write robust automation scripts using Python and Bash to eliminate operational friction and automate infrastructure tasks.
- Build, maintain, and optimize secure CI/CD pipelines for application and configuration delivery.
- Research and experiment with key technologies, architectures, and standards to keep the platform modern and efficient.
- Integrate fundamental Agentic AI concepts into the operational landscape to explore intelligent infrastructure monitoring and automation.
- Leverage AI coding assistants (e.g., GitHub Copilot, Windsurf, Cursor, Claude) to accelerate day-to-day scripting, manifest authorship, and pipeline building.
- Attend daily stand-up meetings, collaborate with peers, prioritize features, and work with a sense of urgency to deliver value to customers.
- Assist in reviews and audits conducted at various points in the software life cycle.
Skills used in this role
What the employer is looking for
- Bachelor's degree or equivalent with 5+ years of combined experience in Network Engineering, Security, or Cloud/DevOps Engineering.
- Experience with web infrastructure and distributed systems; strong knowledge of public cloud platforms (AWS, Azure, or GCP).
- Strong experience with Kubernetes, including cloud service provider managed clusters (EKS/AKS/GKE) and self-hosted cluster environments.
- Deep familiarity with Helm for packaging, configuration, and manifest deployment.
- Fundamental/Expert level knowledge of Python and Bash, with the ability to build reliable operational automation scripts.
- Foundational understanding of Agentic AI concepts (basic component orchestration, LLM tool use primitives, and architecture structures).
- High proficiency in utilizing AI coding assistance tools (GitHub Copilot, Windsurf, Cursor, or Claude) to enhance coding speed and accuracy.
- Hands-on experience with version control and platform management via GitHub or Azure DevOps.
- Experience in configuring modern CI/CD pipelines.
- Previous experience dealing with L3/L4 networking components like load balancers and firewalls.
- Experience implementing and configuring cloud monitoring tools.
- Ability to work in a fast-paced, evolving, growing, and agile environment.
- Excellent communication skills and the ability to present complex topics to non-technical audiences.
- Cloud Administration, CLI, Identity & Access Management (AWS/Azure/GCP)
- Knowledge on Containerization
- Kubernetes Cluster Lifecycle Management (AKS/EKS/GKE & Self-hosted environments)
- CI/CD Pipelines (GitHub / Azure DevOps)
- Scripting & Automation (Bash - Mandatory, python - Fundamentals/Mid Level)
- Helm Charts & Manifest Deployment
- Identity & Access Management (IAM / Active Directory)
- Infrastructure Monitoring Tools
- Networking & Firewall Fundamentals (L3/L4, NGINX, DNS)
- Linux Administration
- AI Productivity Tools (Copilot, Windsurf, Cursor, Claude)
- Foundational Agentic AI Concepts
Preferred qualifications
- Advanced Python Development: Deep expertise building robust automation frameworks or backend software integrations.
- Deep Agentic AI Framework Expertise: Practical experience architecting production-grade multi-agent solutions using CrewAI, LangChain, AWS Strands, Google ADK, or constructing MCP servers.
- Infrastructure as Code (IaC): Deep knowledge or production experience using Terraform.
- Advanced GitOps implementation methodologies
- Serverless architectures
- Relevant Cloud or Kubernetes Certifications (e.g., CKA, CKAD, Cloud Architect Solutions)
Benefits and support
- Compensation and benefits are detailed in the job posting
About Motorola Solutions
Motorola Solutions is a global leader in public safety and enterprise security, specializing in mission-critical communications, command center software, and video security solutions. The company empowers communities and organizations by building and connecting technologies that enhance safety, operational efficiency, and situational awareness worldwide. Formed as the legal successor to the original Motorola following its 2011 corporate split, Motorola Solutions serves government agencies, public safety departments, and commercial enterprises across more than 100 countries.
- Industry
- Telecommunications
- Company size
- 10001+ employees
- Founded
- September 25, 1928
- Location
- Chicago, Illinois, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Executive Vice President and Chief Operating Officer
Executive Vice President and Chief Technology Officer
Senior Vice President, Strategy & Ventures
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