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

Cisco
Bengaluru
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 8-12 yearsEducation: bachelorsSkills: ["Debugging","Collaboration","Continuous learning","Reliability focus"]

Design and implement the control plane for next-generation AI infrastructure at Cisco, enabling orchestration and management of AI workloads across distributed environments. Build scalable, highly available microservices and Kubernetes-based control plane services using CRDs and operator patterns. Develop GRPC/REST APIs and CLI tools, establish reliability metrics (SLA/SLO), implement telemetry with eBPF, and support live upgrades, debugging, and GPU/CUDA compatibility.

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FursaFursa
Cisco
Cisco
5 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: 5 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design and implement the control plane for next-generation AI infrastructure at Cisco, enabling orchestration and management of AI workloads across distributed environments. Build scalable, highly available microservices and Kubernetes-based control plane services using CRDs and operator patterns. Develop GRPC/REST APIs and CLI tools, establish reliability metrics (SLA/SLO), implement telemetry with eBPF, and support live upgrades, debugging, and GPU/CUDA compatibility.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design and implement control plane components using Golang and Python.
  • •Build control plane services using Kubernetes concepts such as CRDs and operator patterns (e.g., Kubebuilder).
  • •Develop scalable, highly available microservices across regions to ensure reliability at scale.
  • •Build and maintain gRPC, REST APIs, and CLI tools for integration and control of AI infrastructure.
  • •Implement telemetry (eBPF), define SLA/SLO monitoring, and design stateful systems with live upgrade strategies for continuity and debuggability.

Key Requirements

  • •Proficiency in Golang and Python.
  • •Strong expertise in Kubernetes (K8s), including CRDs, operator patterns, and tools like Kubebuilder and Helm.
  • •Experience designing and implementing APIs (gRPC, REST APIs) and CLI tools.
  • •Proven ability designing and scaling highly available microservices across regions with distributed systems fundamentals.
  • •Bachelor’s degree plus 7+ years of engineering experience (8–12 years indicated in the role title).
Experience:8-12 yearsAI infrastructureCloud-nativeMicroservicesDistributed systemsSaaS
Education:Bachelor's
Skills:DebuggingCollaborationContinuous learningReliability focus
Tech Stack:GolangPythonKubernetesCRDsOperator patternsKubebuilderHelmMicroservicesGRPCREST APIsCLISLA/SLOCI/CDVersion controlEBPFTelemetryStateful applicationsDatabasesGPUCUDA

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
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Glassdoor: 4.0
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