- Bachelor's degree or equivalent with 3+ years of combined experience in Network Engineering, Security, or Cloud/DevOps Engineering.
- Experience with web infrastructure and distributed systems; robust 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.

📌 Cloud Ops Engineer (Bengaluru)
🏢 Motorola Solutions India
📍 Bengaluru