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EuronextPosted 1 month ago

DevOps - Site Reliability Engineer – Digital Assets

On-siteParis, Île-de-France, France

Full TimeLargeFinancial Services

Job Summary

Build and maintain infrastructure-as-code, CI/CD pipelines, and zero-downtime deployments for a regulated tokenisation platform. Design observability solutions including metrics, logs, traces, and alerting to define service level objectives. Establish and run the on-call rotation while authoring runbooks and hardening the security posture with the security lead. Maintain platform stability during rapid change by deploying, monitoring, and operating in-product AI/ML services with rollback capabilities. Apply AI for anomaly detection, alert triage, and incident summarisation. Report to the CTO Digital Assets and join the core team shaping Europe's leading exchange group's next-generation financial market infrastructure.

Required Qualifications

  • Strong experience with infrastructure-as-code (e.g. Terraform)
  • Containers/Kubernetes
  • CI/CD pipelines
  • Proven track record in 24/7 observability and incident-response experience
  • SLO/error-budget practice
  • Experience building secure, auditable infrastructure for regulated workloads
  • Calm under pressure, with a strong sense of ownership and the ability to produce clear, actionable runbooks
  • Familiarity with AI-assisted engineering practices, including AIOps, incident summarisation and monitoring of AI/ML services
  • Excellent analytical, problem-solving and communication skills
  • Degree in computer science, engineering or a related field
  • At least three years of relevant experience
  • Valid driver's license (implied by location options: Paris, Porto, Milan or Rome)
  • Ability to relocate or work across Paris, Porto, Milan or Rome

Desired Qualifications

  • Experience with AI-assisted tools for infrastructure-as-code and pipeline authoring, with disciplined human review before deployment
  • Applying AI for anomaly detection, alert triage and incident summarisation and post mortem drafting
  • Deploying, monitoring and operating in-product AI/ML services (including rollback)

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