We are looking for a skilled Network Engineer to design, implement, and maintain reliable network infrastructure across our distributed systems. You will play a key role in ensuring network performance, security, and availability in a fully remote environment. The ideal candidate will have strong understanding of networking protocols and experience with cloud-based networking environments.
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Job Description
π Job Description: Network Engineer (Part-Time / Full-Time / Remote)
Company: PYXIS LOGISTICS
Location: Remote (Germany-based company)
π§βπ» About UsPYXIS LOGISTICS is a Germany-based logistics company leveraging modern technology to optimize global supply chain operations. Our infrastructure relies on secure, scalable, and high-performance networks to support real-time data flow and operational efficiency.
π Role OverviewWe are looking for a skilled Network Engineer to design, implement, and maintain reliable network infrastructure across our distributed systems. You will play a key role in ensuring network performance, security, and availability in a fully remote environment.
π οΈ Key Responsibilities- Design, configure, and maintain network infrastructure (LAN/WAN/VPN)
- Monitor network performance and troubleshoot connectivity issues
- Implement network security measures (firewalls, intrusion detection, access controls)
- Manage cloud-based networking environments (AWS, Azure, or GCP)
- Ensure high availability and disaster recovery planning
- Collaborate with DevOps, security, and engineering teams
- Maintain documentation of network architecture and configurations
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- Proven experience as a Network Engineer or similar role
- Strong understanding of networking protocols (TCP/IP, DNS, DHCP, VPN)
- Experience with routers, switches, and firewalls
- Familiarity with cloud networking (AWS, Azure, or GCP)
- Knowledge of network monitoring and diagnostic tools
- Experience with network security best practices
- Strong troubleshooting and analytical skills
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- Certifications such as CCNA, CCNP, or equivalent
- Experience with SD-WAN and network automation
- Familiarity with scripting (Python, Bash)
- Knowledge of container networking (Docker, Kubernetes)
- Experience in logistics or distributed systems environments
- Flexible working hours (part-time or full-time options)
- Fully remote work environment
- Opportunity to work on scalable, global infrastructure
- Competitive compensation
- Professional development and certification supportΒ
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