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Rôle DevOps avec un fort focus backend Python Niveau d’expérience 5 à 8 ans d’expérience Expérience souhaitée Nous recherchons un profil ayant déjà travaillé au sein d’ équipes de développement , et qui : est habitué à appliquer des méthodologies agiles travaille avec des outils de développement et comprend les bonnes pratiques maîtrise les principes du Software Craftsmanship Compétences techniques requises (indispensables) Azure Cloud Ops & Python (obligatoires) Expérience Azure DevOps (obligatoire) Gestion du code source, stratégies de branches, pipelines CI/CD , revues de code Azure Batch (obligatoire) Ordonnancement des tâches, montée en charge et orchestration des workloads de calcul Compétences en développement Python (obligatoire) Solide maîtrise de Python pour les services backend et le scripting Excellentes compétences en scripting Python Développement Web – généralités Appels API (authentification, REST) Approche design for failure (gestion des erreurs 404, 403, mécanismes de repli) Authentification ( JWT ) Connaissances de base en HTML/CSS pour la personnalisation d’interfaces Compétences DevOps, Cloud et Développement (accent renforcé) Pratiques et outils DevOps (obligatoires) Gestion de versions ( Git ), stratégies de branches, revues de code Pipelines CI/CD (GitHub Actions, Azure DevOps ou équivalent) Conteneurisation et orchestration (fortement appréciées) Expérience Docker : build, publication et exécution de conteneurs Expérience Kubernetes ou équivalent (souhaitée) Monitoring, traçabilité et observabilité (souhaités) Azure Monitor, Prometheus / Grafana ou équivalent Infrastructure as Code (IaC) (souhaitée) ARM templates, Terraform ou équivalent Notions de sécurité et conformité pour les workloads cloud (souhaitées) Compétences en anglais Capacité à discuter, comprendre et partager des concepts IT avec l’ensemble des parties prenantes Compétence requise Compétences techniques (optionnelles) R (un plus) Extensions R Shiny (shinydashboard, bslib, shinyjs) Plotly / Leaflet pour R Connexions bases de données (DBI, pool, dbplyr) FastAPI SQLAlchemy / Pydantic Flask (Python) Connaissances des protocoles web et sécurité (SSL/TLS, etc.) SSO et principes d’authentification Développement API REST / Plumber API JWT Conteneurisation Docker Gestion de versions Git Autres outils souhaités JIRA Confluence Outils et applications O365 Compétences interpersonnelles Capacité à passer d’un sujet ou d’une activité à un autre Capacité à vulgariser des sujets IT/sécurité pour des profils non techniques Capacité à convaincre et fédérer des profils techniques à travers toutes les entités et tous les pays, notamment pour les sujets portés par la DSI / CIO Office Volonté permanente de monter en compétences Parcours et expériences Développeur Full Stack Description des missions et services La DSI gère le parc applicatif et les projets IT du groupe. Elle constitue le point de contact pour les métiers ayant des besoins IT ou Web, et les accompagne dans la réalisation de leurs projets dans le respect de la conformité Groupe , notamment sur les axes : Architecture Achats Protection des données (Data Privacy) Sécurité Ces missions reposent sur des interactions avec des interlocuteurs variés, techniques et non techniques . Mission principale du poste : Développer les assets techniques et web components du Design System . Livrables attendus Code Documentation du code Documentation de release Tests Démonstrations Corrections de bugs Revues de code

We are looking a Senior Data Engineer Work with a leading generative AI company in healthcare. Why Join Our Team Why Join Our Team Reinvent healthcare with AI that puts safety first. Work with the people shaping the future. Backed by the world’s leading healthcare and AI investors. Build alongside the best in healthcare and AI. Location- Palo Alto, CA office. We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified. Benefits: 401 k, Equity, Lunch provided (On site job) Data is the backbone of everything we build — from our voice-based generative healthcare agents to the systems that ensure their clinical safety and reliability. We’re looking for data engineers who thrive at the intersection of data systems, security, and scalability to design the infrastructure that powers safe AI deployment across healthcare environments. As part of the Data Infrastructure team, you’ll design, operate, and scale systems that collect, transform, and serve data for model training, evaluation, and operational analytics . You’ll work closely with ML, AI, and product teams to ensure our data is trustworthy, compliant, and high-quality — forming the foundation for real-world, patient-facing AI systems. This is an opportunity to build data systems for a new class of AI products — where correctness, traceability, and privacy aren’t optional, they’re mission-critical. What You'll Do Build & operate data platforms and pipelines (batch/stream) that feed training, RAG, evaluation, and analytics using tools like Prefect, dbt, Airflow, Spark , and cloud data warehouses ( Snowflake/BigQuery/Redshift ). Own data governance and access control : implement HIPAA-grade permissioning, lineage, audit logging, and DLP; manage IAM, roles, and policy-as-code. Ensure reliability, observability, and cost efficiency across storage ( S3/GCS ), warehouses, and ETL/ELT—SLAs/SLOs, data quality checks, monitoring, and disaster recovery. Enable self-service analytics via curated models and semantic layers; mentor engineers on best practices in schema design, SQL performance, and data lifecycle. Partner with ML/Research to provision high-quality datasets, feature stores, and labeling/eval corpora with reproducibility (versioning, metadata, data contracts). What You Bring Must-Have: 5+ years of software or data engineering experience, with 3+ years building data infrastructure, ETL/ELT pipelines, or distributed data systems. Deep experience with Python and at least one cloud data platform (Snowflake, DataBricks, BigQuery, Redshift, or equivalent). Familiarity with orchestration tools (Airflow, prefect, dbt) and infrastructure-as-code (Terraform, CloudFormation). Strong understanding of data security, access control, and compliance frameworks (HIPAA, SOC 2, GDPR, or similar). Proficiency with SQL and experience optimizing query performance and storage design. Excellent problem-solving and collaboration skills — able to work across engineering, ML, and clinical teams. Comfortable navigating trade-offs between performance, cost, and maintainability in complex systems. Nice-to-Have: Experience supporting ML pipelines, feature stores, or model training datasets. Familiarity with real-time streaming systems (Kafka, Kinesis) or large-scale unstructured data storage (S3, GCS). Background in data reliability engineering, data quality monitoring, or governance automation. Experience in healthcare, safety-critical systems, or regulated environments. If you’re passionate about building data systems that power safe, real-world AI , we’d love to hear from you. We have an exciting opportunity waiting for you—apply today and take the next step in your career! The IN group is here to support you specifically with the recruitment and hiring process for job opportunities. Our role is focused on guiding you through these steps. If you have any questions related to your application or next steps in the hiring process, Apply, and please feel free to reach out. At Investigo, we make recruitment feel easy. Let’s keep this simple. We’re all about your success, as your success is our business. We are part of The IN Group, a collection of six award-winning specialist brands that supply the globe with end-to-end talent solutions. With recruitment at the core of our business, we’ve been connecting people since 2003. Data & Privacy By applying, you consent to Investigo collecting and processing your data for the purpose of recruitment and placement, in accordance with applicable data protection laws. For more information, please refer to our Privacy Notice at weareinvestigo.com.