Cloud Ops Engineer (Cloud, Devops & Kubernetes)

Motorola Solutions


Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Company Overview

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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 organizations platform infrastructure performing system integration to ensure high throughput security and absolute 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 teamsunderstanding 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.


Basic Requirements

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.

Qualifications (Must-Have):

  • Bachelors degree or equivalent with 3 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 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 (AWS/Azure/GCP)

  • Kubernetes Cluster Lifecycle Management (AKS/EKS/GKE & Self-hosted environments)

  • Helm Charts & Manifest Deployment

  • CI/CD Pipelines (GitHub / Azure DevOps)

  • Scripting & Automation Basics (Python & Bash fundamentals)

  • AI Productivity Tools (Copilot Windsurf Cursor Claude)

  • Foundational Agentic AI Concepts

  • Networking & Firewall Fundamentals (L3/L4 NGINX DNS)

  • Infrastructure Monitoring Tools

  • Linux Administration

  • Identity & Access Management (IAM / Active Directory)

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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.


Required Experience:

IC

Company OverviewAt Motorola Solutions we believe that everything starts with our people. Were 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 co...

About Company

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Motorola Solutions, Inc., incorporated on March 9, 1973, is a provider of communication infrastructure, devices, accessories, software and services. The Company operates through two segments: Products and Services. It serves global customer base spanning federal, state, county, provin ... View more

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