Site Reliability Engineer H/F

Geodis
Levallois-Perret, France
5 days ago
Apply on injob.geodis.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, French

Tech stack

Apache HTTP Server Software Applications Cloud Computing E-Business Apache Hive Python (Programming Language) Performance Tuning Ansible Cloudera Mesos SQL Databases YAML
+11 more
Apache Yarn Apache Spark Backend Kubernetes Storage Technologies Information Technology Apache Kafka Dataiku Terraform Devsecops Confluent

Job description

As part of the Group Datalayer team within the Digital Business Platforms department, and reporting to the Datalayer Service Manager:

  • 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., You will work with the Operations team to help build the 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

Requirements

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) Understand public cloud concepts, as our Datalayer is hosted on hyperscalers You have a proactive approach to identifying problems, performance bottlenecks, and areas for improvement, * Français (Maitrise Courante)

  • Anglais (Maitrise Courante)

Benefits & conditions

Temps de travail en %

100

Lieu de prise de service

Lieu de prise de service

About the company

Entité de rattachement

GEODIS est un leader mondial du transport et de la logistique, reconnu pour son expertise sur l’ensemble de la supply chain. Partenaire de croissance de ses clients, GEODIS intervient sur cinq métiers : l’optimisation de la chaîne d’approvisionnement, le Freight Forwarding, la logistique contractuelle, la distribution & l’express et le transport routier. Avec un réseau mondial couvrant près de 166 pays et plus de 49 720 collaborateurs, GEODIS se classe au sixième rang mondial de son secteur. En 2024, GEODIS a réalisé un chiffre d’affaires de 11,3 milliards d’euros. GEODIS est une société du groupe SNCF. A compétences égales, une attention particulière sera accordée aux candidatures des personnes en situation de handicap.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on injob.geodis.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:29 min

Evaluating orchestration tools for distributed container deployments

Aleksandr Kalikov · LIVE

1:35 min

Centralizing configuration logic with native YAML block references

Matthieu Vincent Matthieu Vincent · Europe 2026 Virtual

2:38 min

Extreme engineering culture for massive web data operations

Ariel Shulman Ariel Shulman +1 · World Congress 2026 Europe

2:00 min

Introduction to YAML syntax and basic formatting

Chris Ayers · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:38 min

Managing and versioning system prompts as YAML files

Kevin Lewis Kevin Lewis +1 · World Congress 2025

Videos

See all

Related articles

See all