Site Reliability Engineer H/F

Fonctions Supports - Digital & Technologie

Site Reliability Engineer H/F

Objectives of this role

• You will ensure that the whole stack delivers the expected service with the right SLA.
• Working closely with the Operations team, you will run the production environment by monitoring availability and taking a holistic view of system health.
• You will improve the reliability, quality, and time‑to‑market of our suite of software solutions that make up the Datalayer stack.
• You will measure and optimise system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement.
• You provide primary operational support and engineering for multiple large‑scale distributed software applications.
• You will provide technical oversight and ensure that the Datalayer stack is state of the art and follows all best practices.

Responsibilities

• You will work with the Operations team to help build automation processes for installing, updating, upgrading and scaling the Datalayer stack.
• Help collect and interpret metrics from applications to support performance tuning and troubleshooting.
• You will improve services through rigorous testing and release procedures using the Group DevSecOps framework.
• Participate in system design consulting, platform management and capacity planning.
• Create sustainable systems and services through automation and uplifts.
• You have FinOps acculturation and intend to make the best choice at the better cost.

Required skills and qualifications

• You have a bachelor’s degree (or equivalent) in computer science or related discipline.
• You have experience with modern data stack and data platform.
• You are an IaC and automation evangelist.
• You have the ability to program using one or more high-level languages such as Python, Yaml, Ansible & Terraform (Scala & SQL as a bonus).
• Ideally, you have experience with distributed storage technologies such as Cloudera, Starburst, Dataiku, Kafka, Confluent, Hive, or Spark, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn).
• You understand public cloud concepts; our Datalayer is hosted on hyperscalers.
• You have a proactive approach to identifying problems, performance bottlenecks, and areas for improvement.

BAC+4 / MAITRISE / MASTER(1)