Platform Support Engineer
Il y a 5 mois
**À PROPOS DE CFM**: Fondés en 1991, nous sommes une société mondiale de gestion d’actifs quantitative et systématique appliquant une approche scientifique à la finance pour développer des stratégies d’investissement alternatives pour nos clients.
Nous valorisons l’innovation, l’engagement, l’aboutissement et l’intelligence collective en créant ensemble un environnement d’experts passionnés et talentueux dans les domaines de la recherche, des technologies et du business pour explorer de nouvelles idées et toujours remettre en question les hypothèses.
**À PROPOS DU POSTE**: Le pôle “Core Technologie & Architecture” est responsable de l’ingénierie des systèmes transverses de CFM et en particulier de nos plateformes techniques et applicatives qui se déclinent comme ainsi.
- Notre plateforme d’analyse quantitative dédiée à l’exploration de la donnée et à la mise au point de stratégies d’investissement.
- Nos fondations techniques donnant accès aux standards Open-Source de Data Science et aux écosystèmes Python de référence,
- Notre plateforme DevOps, d’orchestration, de monitoring et de supervision de nos processus métier.
C’est au quotidien que cette équipe de platform engineering accompagne développeurs, analystes et chercheurs de CFM avec des solutions innovantes.?Elle est référente sur les valeurs d’excellence opérationnelle et les bonnes pratiques de développement.
Vous interviendrez directement sur notre plateforme d’analyse quantitative, et aurez la charge de garantir sa disponibilité et la qualité de ses évolutions. Au-delà de la supervision et du support aux utilisateurs, vous serez amené à faire des propositions et écrire des outillages, pour accompagner la montée en charge, le niveau de qualité attendu et l’expérience des utilisateurs.
Vous vous appuierez sur votre équipe pour développer une expertise "Deep Tech" et capitaliser sur l’éventail des technologies qu’elle supporte : sécurité dès la conception, approches API, Cloud, Docker, SOA et Kafka.
Les missions
- Vous prendrez en charge la construction bimensuelle d’une version de référence de notre plate-forme quantitative,
- Vous superviserez la conformité des contributions aux codes et services métier qu’elle expose,
- Vous surveillerez, analyserez et alerterez sur les problèmes détectés durant les phases de test,
- Vous viserez une fiabilité et une performance optimale de la chaîne d’intégration continue,
- Vous validerez les changements dans les fondations techniques et anticiperez les impacts sur les codes que vous supervisez,
- Vous serez en support direct des utilisateurs dans leurs tâches exploratoires et de développement,
- Vous concevrez des logiciels qui amélioreront votre productivité et l’expérience des contributeurs,
- Vous prendrez en charge la formation des utilisateurs ainsi que la documentation des processus.
**COMPETENCES**:
- Vous êtes rigoureux(se), résilient(e) et appréciez le travail collaboratif,
- Vous disposez d’un master (bac +5 écoles d’ingénieur/IT ou équivalent universitaire),
- Vous avez une expérience d’au moins 4 ans dans le support et le développement logiciel,
- Vous maîtrisez Python (et idéalement C++ ou Rust) et ses environnements de tests et de profilage,
- Vous possédez des compétences en DevOps (par exemple Git, Jenkins, Sonar, Docker,...),
- Vous avez des connaissances du stack Data Science (Pandas, Numpy, Machine Learning, ML-Ops...),
- Une première expérience de l’Open Source et du Cloud sera “un plus” apprécié.
**DÉCLARATION SUR L’ÉGALITÉ DES CHANCES**: Nous nous efforçons continuellement d’être un employeur offrant l’égalité des chances et nous interdisons toute forme de discrimination fondée sur le sexe, le handicap, l’origine, l’orientation sexuelle, l’identité de genre, l’âge, la race ou la religion. Nous croyons que notre diversité, nos apports diversifiés d’expérience et nos multiples points de vue sont les principaux facteurs de notre succès.
CFM est signataire des Women Empowerment Principles.
**SUIVEZ-NOUS**: Suivez-nous sur Twitter et LinkedIn ou visitez notre site Web pour en apprendre davantage sur CFM.
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