Network Engineer
(Mid / Senior) 
AI Data Center Infrastructure
Role Description

We are looking for Mid-level and Senior Network Engineers to support and evolve our AI data center network infrastructure. The role focuses on design, deployment, monitoring, security, and optimization of high-performance networks supporting GPU clusters, distributed services, and mission-critical platforms.
This is a hands-on, on-site role with direct involvement in data center operations.

Core Responsibilities (All Levels)

  • Operate and maintain L2/L3 data center networks
  • Monitor performance, availability, and latency across sites
  • Troubleshoot complex network incidents and outages
  • Configure and maintain switches, routers, and firewalls
  • Implement network security policies and segmentation
  • Support inter-data-center connectivity and ISP links
  • Maintain accurate network documentation and diagrams
  • Participate in on-call rotation and planned maintenance

Mid-Level Network Engineer

Responsibilities

  • Implement and support existing network architectures
  • Configure VLANs, routing, ACLs, and redundancy mechanisms
  • Assist in deployment of spine-leaf and EVPN-VXLAN networks
  • Perform incident resolution and root cause analysis
  • Support AI compute and storage network connectivity
  • Work closely with senior engineers on infrastructure upgrades

Technical Requirements

  • 3+ years of experience in network engineering
  • Strong knowledge of TCP/IP, BGP, OSPF, VLANs, STP, VRRP/HSRP
  • Experience with enterprise networking vendors (Cisco, Juniper, Arista, MikroTik or similar)
  • Familiarity with 10/25/40/100 Gbps data center networking
  • Basic experience with network security and firewalls
  • Monitoring tools (SNMP, Zabbix, Prometheus, etc.)
  • Basic scripting (Bash or Python) is a plus

Qualifications

  • CCNA / equivalent certification preferred
  • Bachelor’s degree in IT or equivalent experience

Senior Network Engineer

Responsibilities

  • Design and evolve high-availability AI data center networks
  • Architect spine-leaf, EVPN-VXLAN, and multi-tenant environments
  • Optimize low-latency, high-throughput networks for AI/GPU workloads
  • Lead complex troubleshooting and major incident resolution
  • Implement advanced BGP multihoming and redundancy strategies
  • Define and enforce network security architecture
  • Drive automation, standardization, and performance optimization
  • Mentor mid-level engineers and review technical designs

Technical Requirements

  • 6+ years of experience in data center networking
  • Deep expertise in BGP, OSPF, EVPN-VXLAN, MLAG
  • Hands-on experience with 100+ Gbps networking
  • Strong understanding of east-west traffic patterns and AI workloads
  • Experience with DDoS protection, traffic filtering, and segmentation
  • Advanced troubleshooting at packet and protocol level
  • Network automation using Python, Ansible, or similar
  • Experience with multi-site and global distributed infrastructure

Qualifications

  • CCNP / CCIE or equivalent certifications highly preferred
  • Proven experience in mission-critical, 24/7 environments

Locations

  • Sofia, Bulgaria
  • Ruse, Bulgaria
  • Brazii de Sus, Romania
  • (On-site / Data Center role)
Site Reliability Engineer 
(Mid / Senior) 
AI Data Center Infrastructure
Role Description

We are looking for Mid-level and Senior Site Reliability Engineers to ensure the reliability, availability, scalability, and observability of our AI data center infrastructure. The role focuses on automation, monitoring, incident response, and performance optimization for mission-critical platforms supporting GPU clusters, distributed services, and high-load environments.
This is a hands-on, on-site role with direct involvement in data center and production operations.

Core Responsibilities (All Levels)
 
  • Ensure high availability and reliability of production systems
  • Monitor system performance, latency, and capacity across sites
  • Respond to and troubleshoot complex infrastructure incidents
  • Improve system resilience through automation and standardization
  • Maintain and evolve monitoring, alerting, and observability stacks
  • Support AI/GPU compute platforms and high-density workloads
  • Perform root cause analysis (RCA) and post-incident reviews
  • Maintain accurate system documentation and runbooks
  • Participate in on-call rotation and planned maintenance

Mid-Level Site Reliability Engineer
 
Responsibilities

  • Operate and support existing production infrastructure
  • Monitor and maintain Linux-based systems
  • Assist with deployment and operation of containerized workloads
  • Support CI/CD pipelines and automated deployment processes
  • Investigate incidents and contribute to RCA documentation
  • Collaborate with senior engineers on reliability improvements

Technical Requirements
 
  • 3+ years of experience in SRE, DevOps, or Infrastructure roles
  • Strong Linux systems administration skills
  • Experience with containers (Docker) and basic Kubernetes usage
  • Familiarity with monitoring tools (Prometheus, Grafana, Alertmanager)
  • Basic experience with CI/CD systems
  • Scripting skills (Bash; Python is a plus)
  • Understanding of distributed systems fundamentals

Qualifications

  • Bachelor’s degree in IT or equivalent experience
  • SRE / Linux / Cloud-related certifications are a plus

Senior Site Reliability Engineer
 
Responsibilities

  • Design and evolve high-availability, fault-tolerant systems
  • Lead incident response and major outage resolution
  • Define and manage SLIs, SLOs, and error budgets
  • Architect scalable Kubernetes-based platforms
  • Implement infrastructure as code and automation frameworks
  • Optimize performance for AI/GPU workloads
  • Drive observability, capacity planning, and reliability strategy
  • Mentor mid-level engineers and review technical designs

Technical Requirements

  • 6+ years of experience in SRE / DevOps / Platform Engineering
  • Deep expertise with Linux and Kubernetes at scale
  • Strong experience with high-availability and disaster recovery design
  • Infrastructure as Code (Terraform, Ansible, or similar)
  • Advanced automation using Python, Go, or Bash
  • Strong understanding of networking and storage fundamentals
  • Experience operating multi-site, global distributed infrastructure
  • Advanced troubleshooting across compute, network, and storage layers

Qualifications

  • Kubernetes, SRE, or Cloud certifications highly preferred
  • Proven experience in mission-critical, 24/7 environments
 
What We Offer
 
  • Work with AI-focused data center infrastructure
  • Exposure to high-scale, distributed systems
  • Competitive compensation based on experience
  • Professional growth in SRE and platform engineering
  • Stable, technically driven environment

Locations
 
  • Sofia, Bulgaria
  • Ruse, Bulgaria
  • Brazii de Sus, Romania
  • (On-site / Data Center role)