Are you a passionate Site Reliability Engineer? We’re hiring for a company specialized in distributed systems, content delivery, and video streaming at scale. This fast-growing tech company is transforming in-transit entertainment with an intelligent caching platform that enables airlines and cruise lines to deliver personalized, high-quality video content — even without internet access. Join a global team building the next-generation content delivery system for aircraft and maritime environments.
Salary: €7,900 – €9,000/month
Location: 100% Remote
Type: Full-time
Contract type: B2B
responsibilities :
Design, deploy, and maintain Kubernetes-based infrastructure using Terraform and Infrastructure-as-Code principles
Lead software deployment efforts for two new international content delivery sites
Build and optimize observability systems (metrics, logging, alerting) to monitor service health and performance
Collaborate with engineering teams to develop and automate CI/CD pipelines (GitLab CI, Argo CD, etc.)
Operate and improve service mesh technology (e.g., Istio) to ensure secure, reliable service-to-service communication
Troubleshoot production systems with a focus on distributed services and networking (HTTP/S, DNS, QUIC)
Contribute to post-incident reviews, root cause analyses, and long-term stability initiatives
Participate in on-call rotations for incident response and site uptime
requirements-expected :
3+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles
Strong hands-on experience with:
Kubernetes (Helm, Operators, workload and networking management)
Terraform and other Infrastructure-as-Code tools
Containers and orchestration at scale
CI/CD systems (e.g., GitLab CI, Argo CD)
Observability tools like Prometheus, Grafana, Loki, Alertmanager
Familiarity with service meshes such as Istio or Linkerd
Deep understanding of networking protocols (TCP/IP, HTTPS, DNS, QUIC)
Experience with distributed systems principles (consistency, fault tolerance, horizontal scaling)
Ability to diagnose and resolve production issues effectively in high-availability systems
Bachelor’s degree in Computer Science or equivalent professional experience
