Cisco

3 months ago

AI Infrastructure Engineer - GoLang, Kubernetes, Dockers, Linux - 8-12 years

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join Cisco's AI infrastructure team as a Control Plane Engineer building scalable, reliable control plane components for distributed AI workloads. You will apply Go and Python to microservices, leverage Kubernetes CRDs and operator patterns, design HA services across regions, and develop APIs/CLI tools while enabling robust telemetry and SLA/SLO monitoring to drive performance and reliability.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & 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 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.

Key Requirements

•Proficiency in Golang and Python.
•Strong Kubernetes (K8s) expertise 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 distributed systems fundamentals.
•Bachelor’s degree and 7+ years of Engineering work experience.

Experience:AI infrastructureCloud-nativeKubernetesDistributed systems

Education:Bachelor's

Tech Stack:GolangPythonKubernetesCRDsKubebuilderHelmGRPCRESTCLIEBPFCI/CD

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

3 months ago

AI Infrastructure Engineer - GoLang, Kubernetes, Dockers, Linux - 8-12 years

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & 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 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.

Key Requirements

•Proficiency in Golang and Python.
•Strong Kubernetes (K8s) expertise 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 distributed systems fundamentals.
•Bachelor’s degree and 7+ years of Engineering work experience.

Experience:AI infrastructureCloud-nativeKubernetesDistributed systems

Education:Bachelor's

Tech Stack:GolangPythonKubernetesCRDsKubebuilderHelmGRPCRESTCLIEBPFCI/CD

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor