{"id":2461242,"url":"https://alion.io/job/devoteam-run-corrective-maintenance-engineer","title":"Run & Corrective maintenance Engineer","company":{"id":6640,"name":"Devoteam","domain":"devoteam.com","url":"https://alion.io/company/devoteam","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":91,"open_postings":595,"ghost_share":0,"stale_share":0.365,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Field & Service","role_family":"Field & Service","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rabat, Morocco"],"countries":["MA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":226000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3777},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitHub Actions","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-13T13:37:41Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T00:59:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu.\nEnsemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages.\nCloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu !\nNos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants.\nLeader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir.\nDevoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux.\nEs-tu prêt(e) à nous rejoindre et relever ensemble ce défi ?\n Vos missions\nAssurer la supervision des environnements de production et analyser les alertes, logs et traces applicatives.\nDiagnostiquer les incidents, identifier leurs causes racines et coordonner leur résolution.\nRéaliser la maintenance corrective des services Python et de l'infrastructure Cloud.\nGarantir la fiabilité des flux applicatifs et la maîtrise des déploiements via les pipelines CI/CD.\nContribuer à la sécurité, à la documentation technique et à l'amélioration continue des procédures de Run.\nEnvironnement technique\nAWS (Lambda, ECS Fargate, DynamoDB, SQS, SNS, CloudWatch), Python 3, Terraform, GitHub Actions, CI/CD, Pytest, MLflow et LLM.\nVotre profil\nBac+5 en informatique ou formation équivalente.\n3 à 5 ans d'expérience en Cloud Operations, SRE ou Backend Engineering.\nExpérience d'AWS en production et bonne maîtrise du diagnostic technique.\nConnaissances de Python, Terraform et des pratiques CI/CD.\nCompréhension des applications basées sur les LLM et l'IA 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