Senior Cloud Ops Engineer (Cloud, Devops & Kubernetes)

Overview

Senior Cloud Ops Engineer on the Core Platforms & Services team, building and operating cloud infrastructure and platform services that support Motorola Solutions' public and hybrid cloud-based SaaS solutions for public safety customers.

What you'll 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.

What you'll need

• 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.

Nice to have

• 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).

Details

• Location: Bangalore, India.
• Position type: Experienced.
• Travel: None.
• Relocation: Not provided.
• Referral payment plan: Yes.