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    Job · 17747074

    REMOTEFULLTIME

    Network Security Engineer

    Nebius logo

    Nebius

    Remote · remote · Posted 36d ago

    Sourced fromGreenhouse
    Not disclosedFresherfulltimeRemote

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    Section · 01

    About this role

    About Nebius:

    Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

    Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

    Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

    Role Summary

    We are looking for a Network Security Engineer to join our Network team. This role combines deep expertise in network engineering and cybersecurity. You will help implement end-to-end network security architectures for enterprise and data center backbone/fabric environments, work with network architects and the management team to guide these designs through review and approval with the Security team, and operate and maintain the implemented solutions day-to-day. You are expected to be hands-on with leading firewall platforms (Palo Alto, Check Point, etc.), understand complex routing and switching designs, and be comfortable implementing and troubleshooting these networks.

    Responsibilities

    Implement and maintain Zero Trust-aligned security architectures for both enterprise and data center networks.

    Configure Layer 3/4 & Multi-VRF Segmentation, Security Policies, Secure Remote access.

    Implement and test large hyper scale DC Security solutions :  IPS/NDR solutions ,  AntiDDOS solutions.

    Integrate NGFW platforms with modern identity providers such as Microsoft Entra ID and Okta, maintain NGFW management, automation, and logging capabilities required by the Security team.

    Implement and maintain Security Capabilities, including Layer 7 application inspection, IPS, user identification, ZTNA, and SASE integrations.

    Integrate and operate monitoring tools such as Zabbix, Grafana, and Akvorado.

    Regularly perform security hardening, vulnerability management, and patching and upgrades on network and infrastructure devices, and verify the effectiveness of these procedures.

    Required Qualifications

    Experience in networking and security protocols (TCP/IP, HTTP(S), DNS, TLS, IPsec, Routing protocols )

    Experience and Knowledge of  Backbone & Datacenter technologies (EVPN, L3VPN MPLS, MPBGP, L2VPN..)

    Hands-on experience with next-generation firewalls (Palo Alto Networks, Check Point, or similar).

    Experience with automation using Python, Go, or equivalent.

    Proficiency in Unix/Linux and experience with major network vendors (Cisco, Juniper, Aruba, etc.).

    Experience configuring and troubleshooting NGFW capabilities and integrations, including IPS, User-ID, Microsoft Entra ID, and ZTNA.

    Preferred Qualifications

    Good knowledge of IPv6.

    Experience with automation tools (Ansible, Terraform, NetBox, SaltStack, etc.).

    Experience with large-scale, highly available distributed systems.

    Knowledge of Zero Trust principles and micro-segmentation approaches.

    Relevant certifications (CCNP/CCIE, PCNSE, NSE 4/7) and professional working proficiency in English.

    Familiarity with commercial or open-source monitoring, logging, and security analytics solutions such as Splunk; EDR/XDR platforms such as CrowdStrike; and centralized NGFW management platforms such as Panorama, Strata Cloud Manager, and FortiManager.

    Bonus: Exposure to DevSecOps practices (SAST/DAST), CSPM/CWPP platforms such as Wiz, EDR, offensive security (OSCP/CPTS, red teaming), or security frameworks, standards, and regulations such as ISO/IEC 27001, NIST CSF, and GDPR.

    Benefits & Perks:

    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

    What's it like to work at Nebius:

    Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

    Equal Opportunity Statement:

    Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

    Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

    If you need accommodations during the application process, please let us know.

    Sourced from greenhouse

    Section · 02

    Skills

    GrafanaTerraformPythonAnsibleLinux

    Section · Company

    About Nebius

    Nebius logo

    Nebius

    Amsterdam

    NL

    About

    Nebius AI is an AI cloud infrastructure company that provides full-stack computing services and platforms. Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

    Industries

    AI InfrastructureCloud InfrastructureGPUIaaSPaaS

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