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Salary
$45k – $92k per year
Location
Hybrid (France)
Seniority
Staff
Employment
Freelance

First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match
Visian is a French data and artificial intelligence consulting firm headquartered in the Tour Europlaza at La Défense in Courbevoie, with teams in Paris and Marseille. Founded in 2016 and part of the Neurones group, it has about 350 consultants working on data strategy, data platforms, governance, AI, MLOps, data mesh, cloud and audit for clients in around ten sectors, and also staffs IT projects in Lille, Montpellier, Nice and Aix-en-Provence. It hires Java and Angular developers, data platform and DevOps engineers, AI engineers, IAM consultants, cybersecurity experts, product owners and senior project managers.

1. CONTEXTE DE LA MISSION

Au sein d’une squad dédiée aux moyens de paiement, en charge des études, de la conception, des développements, des mises en production et de la maintenance (assistance et incidents) de son périmètre, vous interviendrez sous la responsabilité du Squad Leader sur l’ensemble des activités de maîtrise d’œuvre (MOE).

2. DESCRIPTION DE LA PRESTATION

  • Concevoir les solutions et en évaluer le coût.

  • Piloter l’entretien et l’optimisation d’un parc applicatif.

  • Réaliser la conception technique.

  • Effectuer les développements Java.

  • Rédiger la documentation applicative, le dossier de tests unitaires et le dossier de mise en production (DTA).

  • Définir la stratégie de test et la piloter.

  • Assurer les mises en production.

  • Participer au traitement des incidents complexes et au run.

Profil recherché

3. LIVRABLES & RÉSULTATS ATTENDUS

  • Conception applicative dans une vision produit.

  • Backlog affiné.

  • Développements.

  • Dossier Technique d’Application (DTA).

  • Stratégie de tests.

  • Tests automatisés et scénarios d’acceptation.

  • Tests unitaires automatisés.

  • Tests d’intégration et CI.

  • Recette.

  • Feuille de route de démarrage.

4. ENVIRONNEMENT TECHNIQUE

  • Socle technique : Java, Spring Boot, framework interne, Spring Batch, JDK 17.

  • Outillage et infrastructure : API management, Kubernetes, GitLab, bucket S3, CI/CD.

  • Un plus : connaissance de MVS, COBOL, JCL, DB2, SQL, CFT, MQ Series, IDz.

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