It Observability Engineer

Job DescriptionIT Observability engineerThis is WorldlineWorldline 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 OpportunityWorldline'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.

Expertly configure, optimize and scale our monitoring infrastructure based on the Grafana stack (Grafana, Mimir / Prometheus, Loki), supporting the industrialization of deployment standards.

Leverage Python programming skills to create custom monitoring solutions, automate processes, and develop integrations between our observability tools and business applications.

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 ForWe 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 :

3+ years in IT production environments with strong application / system management skills and specific focus on monitoring practices.

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.

Proficiency in Python programming, along with experience using infrastructure tools such as Ansible, Terraform, Gitlab, and Puppet.

Strong communication skills with fluent English, curiosity-driven mindset, and initial experience with machine learning technologies to support our predictive monitoring initiatives.Perks & Benefits

32 paid leave days plus RTT days and 13th month salary convertible to additional leave