Lead Cloud Engineer R&D Pharma

About

Pierre Fabre is launching a Data & AI transformation program for its Medical Care R&D division to build a modern, secure, and industrialized AWS platform capable of supporting current and future R&D needs at scale (internal/external data, partners and CROs, advanced analytics, ML/MLOps, and GenAI use cases). This program has strong requirements for security by design, traceability, governance, and compliance (GxP/CSV) with an audit-ready posture.

If you want to play a significant role in this large-scale project, join the Digital Acceleration Information System (DAIS) Pierre Fabre in Lavaur (Cauquillous site, 81) as a Lead Cloud Engineer R&D Pharma. You will be responsible for the reliability, security, and scalability of the cloud landscape that powers our Data, ML, and AI use cases within Medical Care R&D.

You will design, automate, and operate enterprise-class Cloud platforms and services (AWS-first, multicloud openness) for Data Scientists, Biostatisticians, Bio-informaticians, and product teams. Your impact will be direct: accelerating discovery, improving data quality, and increasing the 'Probability of Success' (PoS) of studies.

Your Role

Your main missions:

• Design, deploy, and evolve secure landing zones (network, identities, secrets, encryption, logs) and ready-to-use data/ML environments.
• Industrialize ingestion, transformation, and orchestration (batch/stream) for heterogeneous data (structured, unstructured, images, text, multi-omics).
• Implement and operate the end-to-end MLOps chain: feature store, registry, CI/CD, deployment strategy, model monitoring, re-evaluation, and governance.
• Automate using Infrastructure-as-Code (Terraform), Policy-as-Code, and pipelines (GitHub Actions/Azure DevOps) with integrated testing, security, and compliance (shift-left).
• Drive security by design (Zero Trust, IAM/ABAC, KMS/HSM, secrets management, vulnerabilities, image hardening), compliance (GDPR, GxP, HDS), and traceability (audit, chain of custody).
• Implement FinOps practices (showback/chargeback, reservations/Savings Plans, right-sizing, data lifecycle) and measurable SLOs/SLAs (SRE).
• Co-build reference architectures (datamesh, lakehouse, APIs, event-driven) and reusable blueprints at the portfolio scale with Data/Product teams.
• Lead the engineering community (guidelines, documentation, training, coaching) and contribute to architecture committees (Design Authority).

This position is compatible with remote work up to 2 days per week according to company rules.

We offer an attractive compensation and benefits package: Profit-sharing, gain-sharing, Pierre Fabre shareholding with matching, Health and provident insurance, 16 RTT days in addition to paid leave, public transport subsidy, attractive employee benefits committee...

Your Skills

Your skills for innovative projects:

• Education: Master's degree (engineering school/university).
• Experience: 3-8 years in cloud engineering, including significant experience on AWS and data platforms (adjustable based on seniority).
• Regulated sectors: experience appreciated in Life Sciences / constrained environments (audit, traceability, validation).
• Appreciated certifications: AWS (Associate/Professional - Developer, DevOps Engineer, Solutions Architect, Security).

Dimensions

• Scope: Medical Care R&D; production/non-production environments; interaction with multiple products/projects and partners.
• Challenges: security and compliance (GDPR/GxP/HDS depending on scope), MLOps/GenAI industrialization, time-to-market, reliability, and costs.
• Organization: collaboration with internal/external resources; contribution to Cloud Engineering and Data Platform communities.

Key Collaborations and Suppliers

• Cloud providers: AWS (priority); multicloud openness depending on context (Azure/OVHcloud).
• Data/AI Ecosystem: AWS services (S3, Glue, EMR, Athena, Redshift, MSK/Kinesis, Lambda, Step Functions, SageMaker Unified Studio) and portfolio solutions (e.g., Snowflake/Databricks depending on use cases).
• Teams: Data Engineering, Data Science, Bioinformatics, Biostatistics, Security, Quality/Compliance, product teams.
• Partners: integrators/managed service providers as needed (build and run).