Senior Cloud Ops Engineer (Cloud, Devops & Kubernetes)

About the job

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 The Core Platforms & Services team is responsible for the development and operations of critical cloud infrastructure and platform 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 & GCP to build at scale. Job Description The ideal candidate analyzes, develops, designs, and maintains software for the organization’s platform infrastructure, performing system integration to ensure high throughput, security, and absolute reliability. In this role, you will focus on building robust Kubernetes platforms across multi-cloud systems and driving their entire Lifecycle Management (LCM), including self-hosted and managed cluster environments. You are expected to act as a key engineering partner for application teams, understanding their specific Kubernetes and cloud infrastructure requirements, integrating those needs back into our core platforms, and maintaining effective monitoring stacks to ensure full platform visibility. By defining clear SLAs, tracking SLOs, and relentlessly automating infrastructure provisioning, LCM operations, and platform enhancements using modern tools, you will scale these environments efficiently. You will own the end-to-end delivery of these systems, from testing structures and maintaining user documentation to ensuring mission-critical reliability.

Responsibilities will include:

- 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.

Basic Requirements Qualifications (Must-Have):

- 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. Primary Skills (Must-Have)

- 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 Nice to Have Skills

- 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)

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.