Remote Site Reliability Engineer - SaaS

Centric Software

Paris

Hybrid

EUR 90,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Remote or Office based
Competitive salary
Corporate healthcare insurance

Job summary

Centric Software in France is seeking a Site Reliability Engineer to join the SRE team for the Shoppingfeed product. You will diagnose reliability issues, tune the web layer (nginx/php-fpm), manage Docker workloads, and own deployment end-to-end while collaborating with product and security teams.

You will participate in on-call rotations, define reliability metrics, and help scale systems under load using Kubernetes, cloud services (AWS), and IaC tools.

Qualifications

  • 2+ years Linux CLI experience with hands-on Docker or container tech
  • Strong PHP application runtime knowledge (php-fpm)
  • 5+ years Git experience with large codebases
  • Broad knowledge from Linux kernel to AWS S3, containers to DBs
  • Excellent English communication and teamwork setup
  • Experience with CI/CD tools and cloud/IaC is highly preferred

Responsibilities

  • Diagnose reliability and performance issues across the request path
  • Tune and scale the web layer under production load
  • Configure and troubleshoot nginx as reverse proxy
  • Own deployment and upgrade processes end-to-end
  • Support and troubleshoot customer-facing services
  • Contribute to on-call rotations and reliability metrics

Skills

Linux CLI
English communication
Team collaboration
Problem solving
SRE basics

Tools

Docker
Kubernetes
Git
NGINX
PHP-fpm
Terraform
Ansible
Datadog
Prometheus
ElasticSearch
MySQL/MariaDB
RabbitMQ
Github Actions

Job description

Centric Software in France is seeking a Site Reliability Engineer to join the SRE team for the Shoppingfeed product. You will diagnose reliability issues, tune the web layer (nginx/php-fpm), manage Docker workloads, and own deployment end-to-end while collaborating with product and security teams.

You will participate in on-call rotations, define reliability metrics, and help scale systems under load using Kubernetes, cloud services (AWS), and IaC tools.

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