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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in network engineering with a focus on data center network design and architecture, including hands-on configuration of NVIDIA/Mellanox Spectrum switches and ConnectX NICs. Proficient in optimizing network environments for AI workloads and conducting performance benchmarking using RDMA and NCCL.
Highest-signal resume keywords
Network EngineeringData Center Network DesignNVIDIA/Mellanox Spectrum SwitchesPerformance BenchmarkingNetwork Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
BGPEVPN/VXLANLACPECMPRoCEv2Priority-Based Flow ControlExplicit Congestion NotificationQuality of ServiceRDMANVIDIA Collective Communication Library
Soft Skills
Technical DocumentationProfessional English Communication
Tools & Technologies
PyATSNAPALMBatfishNornirNetBoxGitLab CIGitHub ActionsJenkins
Certifications & Qualifications
CCNPCCIE EnterpriseCCIE Data CenterJNCIP
Industry Keywords
AI WorkloadsCongestion Control MechanismsAgile Project TeamRail-Optimized DesignRail-Unified Design
Tech Stack
Tools & technologiesJenkins
About the role
Key responsibilities & impact- Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
- Implement and tune congestion control mechanisms for AI workloads, including RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN)
- Optimize network environments for maximum throughput, minimal latency, and minimal Job Completion Time (JCT)
- Conduct performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL)
- Leverage AI agents and specialized tools to automate network tasks, conduct testing, and analyze network telemetry
- Author and maintain technical documentation covering network designs, configurations, and benchmarking results
- Work within an Agile project team in a startup environment serving a US-based client
Requirements
What you’ll need- 7+ years of professional experience in network engineering
- Preferably 3+ years specifically focused on data center network design and architecture
- Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP
- Deep understanding of AI-dedicated data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with practical hands-on configuration and deployment experience
- Experience configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
- Deep understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN)
- Ability to tune and optimize network environments, including switch buffer tuning and Quality of Service (QoS) policies
- Experience conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL)
- Ability to leverage AI agents/tools to automate tasks, testing, and analysis
- Strong technical documentation skills and professional English communication
- Professional-level certifications (CCNP/CCIE Enterprise/DC, JNCIP or equivalent) preferred
- Hands-on experience with network automation and validation frameworks (pyATS, NAPALM, Batfish, Nornir, NetBox) preferred
- Exposure to CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) and IaC concepts preferred
Benefits
Comp & perks- Flexible working hours and approach to work: fully remotely, in the office or hybrid
- Professional growth supported by internal training sessions and a training budget
- Solid onboarding with a hands-on approach to give you an easy start
- A great atmosphere among professionals who are passionate about their work
- The ability to change the project you work on
