{"id":2013408,"url":"https://alion.io/job/quantcube-technology-staff-engineer-data-cloud-infrastructure","title":"Staff Engineer — Data & Cloud Infrastructure","company":{"id":173057,"name":"QuantCube Technology","domain":"quant-cube.com","url":"https://alion.io/company/quantcube-technology","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":75000,"max":null,"currency":"EUR","period":"year","gross":null,"usd_annual":84395},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Airflow","optional":true},{"name":"ISO 27001","optional":true},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true},{"name":"Vue.js","optional":true}],"status":"live","first_seen_at":"2026-10-05T13:19:29Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-25T20:42:10Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Rejoignez notre équipe en tant que Staff Engineer, un rôle clé dans notre évolution rapide. 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Vous serez impliqué dans l'ingénierie pratique et l'architecture, le mentorat et l'accompagnement des équipes, le leadership technique transversal et le partenariat technique avec le CTO.\nMissions\nConcevoir, écrire et maintenir les modules Terraform de référence, optimiser et faire évoluer les APIs (REST/GraphQL).\nServir de référent technique transverse sur les périmètres Data Engineering, MLOps, DevOps, Data Acquisition.\nAgir comme partner technique du CTO sur la roadmap et les arbitrages (build vs buy, évolution de la stack).\nProfil recherché\n**Expérience & posture*** +7 ans d’expérience en ingénierie logicielle / data / cloud, dont au moins 3 ans dans un rôle de leadership technique (Staff, Principal, ou Lead technique senior).\n* Expérience avérée de mentorat d’ingénieurs et d’accompagnement de leads / tech leads.\n* Capacité à influencer sans autorité hiérarchique : avancer par la clarté technique, la rigueur et la confiance.\n* Habitué(e) à évoluer dans des environnements en croissance avec des enjeux de passage à l’échelle (scale-up, startup en forte expansion).\n* Niveau d'Anglais courant : écrit et oral.\n**Compétences techniques obligatoires**\n* Très bon niveau en Python (POO, design patterns, qualité de code, tests).\n* Expertise Terraform (modules, workspaces, state management).\n* Solide expérience Cloud (AWS de préférence ; 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