# Control Plane Engineer

**Company**: Cisco
**Location**: Bangalore
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/AI-Infrastructure-Engineer---GoLang--Kubernetes--Dockers--Linux---8-12-years_2011045?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b21e5268-240

## Description

Cisco is seeking an experienced and innovative Control Plane Engineer to develop the control plane for the next-generation AI infrastructure. This role focuses on designing and implementing scalable, reliable, and efficient control plane components to manage AI workloads.

As AI Control Plane Engineer your work will have a significant impact on:

- Enabling seamless orchestration and management of AI workloads across distributed environments.

- Improving the reliability, scalability, and performance of AI control plane services.

- Ensuring operational simplicity and ease of debugging for control plane services.

- Driving innovation in control plane architecture to improve efficiency and performance of AI infrastructure.

Key Responsibilities:

- Design and implement control plane components using Golang and Python.

- Leverage Kubernetes (K8s) concepts, CRDs, and operator patterns (e.g., Kubebuilder) to build control plane services.

- Develop scalable and highly available (HA) microservices that span across regions, ensuring reliability at scale.

- Build and maintain GRPC, REST APIs, and CLI tools for seamless integration and control of AI infrastructure.

- Address operational challenges of running applications as SaaS, focusing on ease of deployment and lifecycle management.

- Establish and follow best practices for release management, including CI/CD pipelines and version control hygiene.

- Design and implement strategies for live upgrades to minimize downtime and ensure service continuity.

- Develop and implement telemetry collection mechanisms using eBPF and other tools to provide insights into system performance and health.

- Define and monitor SLA/SLO metrics to ensure the reliability of control plane services.

- Design and manage stateful applications, ensuring high performance and reliability of underlying databases.

- Build systems with debuggability in mind, simplifying troubleshooting and remediation for operational teams.

- Collaborate with other teams to ensure control plane compatibility with GPU/CUDA-related technologies.

Minimum Qualifications:

- Proficiency in Golang and Python.

- Strong expertise in Kubernetes (K8s), including CRDs, the operator pattern, and tools like Kubebuilder and Helm.

- Experience with API design and implementation (GRPC, REST APIs, and CLI).

- Proven track record in designing and scaling highly available microservices across regions. Strong understanding of distributed systems architecture and fundamentals.

- Familiarity with telemetry tools and SLA/SLO monitoring for large-scale systems.

- Strong debugging skills and experience building systems with easy remediation capabilities.

- Passion for learning and staying updated on the latest trends in AI infrastructure and cloud-native technologies.

- Bachelor’s degree+ and relevant 7+ years of Engineering work experience.

## Skills

### Required
- Golang
- Python
- Kubernetes
- microservices
- distributed systems
- API design
- GRPC
- REST APIs
- CLI
- telemetry
- SLA/SLO monitoring
- debugging

### Nice to have
- C++
- eBPF
- GPU/CUDA technologies
- release management
- SaaS operational models

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/AI-Infrastructure-Engineer---GoLang--Kubernetes--Dockers--Linux---8-12-years_2011045?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)