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IT Observability Engineer (F/M)

JR France

Centre-Val de Loire

Sur place

EUR 40 000 - 60 000

Plein temps

Il y a 19 jours

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Résumé du poste

Une entreprise de technologie de paiement mondiale recherche un Ingénieur d'Observabilité IT pour diriger les pratiques d'observabilité tout en utilisant des outils avancés comme Grafana et Python. Ce rôle nécessite des compétences en environnement de production, avec une forte emphase sur l'innovation et le travail d'équipe dans un contexte international, offrant également un bon équilibre entre vie professionnelle et personnelle.

Prestations

32 jours de congés payés + jours RTT
Remboursement de 50% des frais de transport
Restaurant d'entreprise subventionné
Assurance santé complète
Initiatives de bien-être

Qualifications

  • 3+ années d'expérience dans des environnements de production IT.
  • Expérience avec l'écosystème Grafana et Prometheus.
  • Compétences en Python et technologies de machine learning.

Responsabilités

  • Diriger l'implémentation et l'évolution des pratiques d'observabilité.
  • Configurer et optimiser l'infrastructure de surveillance basée sur le Grafana.
  • Contribuer à des solutions de surveillance prédictive en appliquant des techniques de machine learning.

Connaissances

Python
Monitoring Practices
Graffiti Ecosystem
Machine Learning
Communication

Outils

Grafana
Prometheus
Ansible
Terraform
Gitlab
Puppet

Description du poste

Social network you want to login/join with:

IT Observability Engineer (F/M), loir-et-cher (41)

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Client:

Worldline

Location:
Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

706103798537807462432760

Job Views:

2

Posted:

29.05.2025

Expiry Date:

13.07.2025

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Job Description:

This is Worldline

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The Opportunity

Worldline's Operation Services division delivers monitoring solutions across our global business units. Our observability squad, part of a 100-strong international team, leads our global observability strategy by integrating open-source technologies into production standards. We operate primarily with the Grafana ecosystem (Grafana, Mimir/Prometheus, Loki) while supporting legacy systems where needed. Currently, we're developing an innovative machine learning-based predictive monitoring solution launched last January, where you'll play a key role in future product delivery, implementation and in supporting adoption.

Day-to-Day Responsibilities

  • Observability Strategy : Lead the implementation and evolution of our observability practices across Worldline's environments, serving as a key advisor to business teams (DevOps, SRE) and developing guidelines to increase team autonomy.
  • Grafana Ecosystem Management : Expertly configure, optimize and scale our monitoring infrastructure based on the Grafana stack (Grafana, Mimir/Prometheus, Loki), supporting the industrialization of deployment standards.
  • Python Development : Leverage Python programming skills to create custom monitoring solutions, automate processes, and develop integrations between our observability tools and business applications.
  • Machine Learning Implementation : Contribute to our innovative predictive monitoring feature by applying machine learning techniques to identify patterns, predict potential issues, and enhance our proactive monitoring capabilities.

Who Are We Looking For

We look for big thinkers. People who can drive positive change, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

  • Production Environment Experience : 3+ years in IT production environments with strong application/system management skills and specific focus on monitoring practices.
  • Observability Tools Proficiency : 2+ years working with the Grafana ecosystem, particularly Prometheus (including PromQL) and Grafana. Experience with Loki and other log/metric management tools is highly valued.
  • Technical Skills : Proficiency in Python programming, along with experience using infrastructure tools such as Ansible, Terraform, Gitlab, and Puppet.
  • Soft Skills & Innovation : Strong communication skills with fluent English, curiosity-driven mindset, and initial experience with machine learning technologies to support our predictive monitoring initiatives.
  • Generous time off: 32 paid leave days plus RTT days and 13th month salary convertible to additional leave
  • 50% reimbursement for public transportation costs
  • Active works council offering social events, trips, and cultural/leisure subsidies
  • Company-sponsored sporting events participation (Corporate Games, races, etc.)
  • Subsidized company restaurant
  • Comprehensive health insurance and welfare plan
  • Wellbeing@Worldline initiatives to support your work-life balance.

Shape the evolution

We are pushing towards the next frontiers of payments technology, and we look for big thinkers to join our journey. People with passion, can-do attitude and a hunger to learn and grow. Here you’ll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. And with our empowering culture, strong technology and extensive training opportunities, we help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators across 40+ countries, and shape a tomorrow that is yours to own.

Learn more about life at Worldline at

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.

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