Technical Lead Job in Cisco Technology Inc

Meet the Team

As a Technical Lead, you will drive technical excellence across HPC infrastructure, network automation, DevOps practices, and SRE principles while leading architecture decisions and guiding teams in implementing high-performance solutions for AI/ML workloads on various network topologies. This role combines deep technical expertise with leadership responsibilities, focusing on system architecture, automation, reliability engineering, and development excellence.

Your Impact

• Design and implement end-to-end automation solutions for HPC infrastructure (Compute, network, and storage) using Kubernetes operators, Terraform, and Ansible.
• Analyze compute, storage, and network traffic patterns during distributed training/inference operations across different AI/ML frameworks.
• Monitor and optimize network utilization patterns for various model architectures.
• Identify bottlenecks in network communication patterns.
• Perform root cause analysis across network, compute, and storage layers, with experience handling various failure scenarios and recovery procedures.
• Make architectural decisions and drive innovation.
• Develop infrastructure patterns for different workload types.
• Provide benchmarking and performance engineering leadership.
• Mentor junior engineers through architecture reviews and code critiques.
• Design and implement comprehensive telemetry collection systems for monitoring high-speed network microburst behavior.
• Develop sophisticated visualization tools and analytics frameworks to enable real-time identification of performance bottlenecks and system constraints, facilitating rapid optimization and troubleshooting.

Minimum Qualifications

• Demonstrated expertise in distributed systems and infrastructure design (compute, storage, and networking).
• Experience with network automation tools and configuration management (Ansible, Python, Golang, YAML, YANG).
• Strong background in CI/CD, GitOps, or similar practices and tools.
• Expert-level experience with observability platforms and practices.
• Strong background in implementing distributed tracing, metrics collection, and log aggregation systems.
• Demonstrated experience in at least one completed performance benchmarking project for distributed systems, storage, network, and compute.

Preferred Qualifications

• Bachelor s degree in Computer Science, Software Engineering, or a related technical field with 15-20 years of extensive hands-on experience in distributed systems development and DevOps practices. An advanced degree is a plus.
• Contributions to open-source projects related to distributed systems or performance engineering.
• Experience in analyzing and documenting system performance metrics across network, compute, and storage layers.
• Prior experience mentoring and developing technical talent.
• Understanding of AI/ML infrastructure and any prior experience with RDMA, RoCE v2 will be an added advantage.

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