nous recherchons

Fortes compétences en DevOps (AWS, Azure, ou GCP) A distance Temps plein

Notre client :

A B2B SaaS platform for automating sales, contracts, and revenue. The platform unifies the entire deal lifecycle — from quote creation to revenue recognition.

Vos tâches :

  • Collaborate with engineering teams to design, implement, and maintain reliable and scalable infrastructure.
  • Manage and troubleshoot Kubernetes clusters in cloud environments (AWS, Azure, or GCP).
  • Maintain and optimize containerized workloads, including Helm charts and CI/CD pipelines.
  • Write scripts to automate operational tasks using Bash, Python, or Go.
  • Monitor production systems and implement observability solutions using Prometheus, Grafana, and OpenTelemetry.
  • Conduct root cause analysis for incidents and implement preventative measures.
  • Continuously improve deployment workflows, production reliability, and operational efficiency.

Expérience et compétences requises :

  • 3+ years of professional experience in DevOps or Site Reliability Engineering roles.
  • Hands-on experience with Kubernetes administration.
  • Hands-on experience with troubleshooting in cloud environments.
  • Experience managing containerized workloads and maintaining Helm charts.
  • Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
  • Proficiency in scripting languages such as Bash, Python, or Go.
  • Knowledge of monitoring and observability ecosystems (Prometheus, Grafana).
  • Experience of distributed tracing with OpenTelemetry.
  • Strong collaboration and communication skills within engineering teams.
  • Strong problem-solving skills with a proven track record of performing root cause analysis.
  • Good command of English (written and spoken).

Ce serait un plus :

  • Experience running, deploying, and debugging Java applications in production.
  • Proficiency with Java build tools (Maven or Gradle) and CI pipeline optimization.
  • Understanding of JVM fundamentals (memory management, garbage collection).
  • Experience maintaining and scaling Elasticsearch clusters.
  • Experience managing MongoDB in production environments.

Conditions de travail

Semaine de travail de 5 jours, journée de travail de 8 heures, horaire flexible

Semaine de travail de 5 jours, journée de travail de 8 heures ;

Travailler à domicile avec du café

Travail à distance.

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