Senior Site Reliability Engineer - Remote, High-Scale Infra

Primetag

Portugal

Remote

EUR 70,000 - 110,000

Full time

32 hours ago
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Benefits offered by this job

Comprehensive medical insurance
Fully remote work
Nomad offices in Europe
4 core hours CET (9am-6pm)

Job summary

Primetag is seeking an experienced Site Reliability Engineer for a fully remote role. You will join a team responsible for infrastructure, data pipelines, and observability, delivering production-grade services with emphasis on reliability, performance, and cost efficiency.

You will work across infrastructure, automation, observability, and reliability, challenging existing approaches to improve production systems.

Qualifications

  • 5+ years of professional experience in SRE, DevOps, or infrastructure engineering.
  • Hands-on with Kubernetes (AKS preferred), Helm, Flux, Docker and Ansible.
  • Experience with Microsoft Azure including AKS, Storage, Service Bus, MySQL, PostgreSQL, CosmosDB.
  • Proficiency with GitLab CI/CD and GitOps principles.
  • Terraform experience.
  • Experience with Grafana, Loki, Tempo, Mimir, Prometheus or similar.

Responsibilities

  • Own and evolve our observability stack (LGTM) including alerts and dashboards.
  • Maintain and improve CI/CD pipelines and deployments across Kubernetes clusters.
  • Ensure platform scalability and cost-efficiency as data volume grows.
  • Foster SRE best practices, including SLOs, error budgets, and runbooks.

Skills

SRE principles
Observability
Incident management
Automation

Tools

Kubernetes
Helm
Flux
Docker
Ansible
Microsoft Azure
GitLab CI/CD
Terraform
Grafana
Loki
Tempo
Mimir
Prometheus

Job description

Primetag is seeking an experienced Site Reliability Engineer for a fully remote role. You will join a team responsible for infrastructure, data pipelines, and observability, delivering production-grade services with emphasis on reliability, performance, and cost efficiency.

You will work across infrastructure, automation, observability, and reliability, challenging existing approaches to improve production systems.

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