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Network Security Engineer

NebiusGlobalnieGlobalnie

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano17 września 2026
Wykryte przez nas
Wykryte przez nas18 września 2026
Zarobki
ZarobkiDo uzgodnienia

Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. We are looking for a Network Security Engineer to join our Network team and help implement end-to-end network security architectures for enterprise and data center backbone environments.

Key responsibilities

  • Implement and maintain Zero Trust-aligned security architectures for both enterprise and data center networks.
  • Configure Layer 3/4 and Multi-VRF segmentation, security policies, and secure remote access.
  • Implement and test large-scale data center security solutions, including IPS, NDR, and Anti-DDoS systems.
  • Integrate NGFW platforms with identity providers like Microsoft Entra ID and Okta, while maintaining automation and logging capabilities.
  • Perform security hardening, vulnerability management, and patching on network infrastructure devices.

Requirements

  • Strong experience in networking and security protocols such as TCP/IP, HTTP(S), DNS, TLS, IPsec, and routing protocols.
  • Deep knowledge of backbone and data center technologies including EVPN, L3VPN MPLS, MPBGP, and L2VPN.
  • Hands-on experience with next-generation firewalls like Palo Alto Networks or Check Point.
  • Proficiency in Unix/Linux and experience with major network vendors such as Cisco, Juniper, or Aruba.
  • Experience with automation using Python, Go, or equivalent scripting languages.

What we offer

  • Competitive compensation package.
  • Significant career growth and continuous learning opportunities.
  • High level of flexibility and ownership over your work.
  • Collaborative, innovative culture within an international environment.
  • Opportunity to work on impactful, large-scale AI infrastructure projects.

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