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Senior Network Engineer
Nebius Group. Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level knowledge in MPLS, routing, and switching for service provider and data center networks, with a strong focus on designing scalable network architectures and optimizing traffic engineering strategies. Proficient in troubleshooting complex network issues across the TCP/IPv4/v6 stack and automating network operations for enhanced reliability and efficiency.
Highest-signal resume keywords
Expert-Level Knowledge In MPLSStrong Experience With Ethernet SwitchingDeep Expertise In Routing ProtocolsHands-On Experience With Segment RoutingProven Experience Designing Large-Scale Network Architectures
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
MPLSRoutingSwitchingBGPIS-ISECMPVXLANTraffic EngineeringNetwork TroubleshootingNetwork Design Documentation
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
JuniperAristaHuaweiMellanoxCLOSL3 VPNsSR-MPLSSRv6
Certifications & Qualifications
CCIEJNCIE
Industry Keywords
Data Center NetworksService Provider NetworksNetwork ArchitectureOperational ProceduresNetwork Testing Strategies
Tech Stack
Tools & technologiesCloudSwitching
About the role
Key responsibilities & impact- Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments
- Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments
- Develop and maintain network design documentation, standards, and operational procedures
- Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking
- Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments
- Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources
- Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6)
- Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure
- Automate network operations and workflows to improve reliability, scalability, and operational efficiency
- Ensure high availability and performance of production networks through proactive monitoring and continuous improvement
- Participate in on-call rotations to support production environments
Requirements
What you’ll need- Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks
- Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies
- Deep expertise in routing protocols including BGP and IS-IS
- Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing
- Proven experience designing and documenting large-scale network architectures
- Experience developing and executing network testing strategies and validating vendor solutions
- Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments
- Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines
- Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox
- Working proficiency in English
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire
Benefits
Comp & perks- Comprehensive health insurance
- 401(k) plan with company contribution
- Paid time off and public holidays
- Flexible working hours
- Professional development and certification support
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams