12 meilleures offres (lead cloud & data engineer gcp, paris, a8) (à pourvoir)

Forward Deployed Engineers - Python - Paris
Photon —Paris (75)
- Azure
- DevOps
- JavaScript
Architecte Solution GenIA
CAPGEMINI ENGINEERING —Issy-les-Moulineaux (92)
- Azure
- Tarifs préférentiels
il y a 3 jours
Growth Analytics Engineer
Gorgias —Paris (75)
- Temps plein
- Télétravail partiel
- SQL
- JavaScript
- Python
Senior Engineering Manager, DevOps
Ogury —Paris (75)
- Temps plein
- Anglais
- Gestion d'équipe
- Agile
il y a 14 jours
Security Analyst
Vestiaire Collective —Paris (75)
- Télétravail partiel
- Master
- SQL
- Niveau Licence
Postuler rapidement
il y a 2 jours
HealthHub Signalling Integrator (M/F/X)
ALSTOM —Saint-Ouen (93)
- Temps plein
- Informatique
- Azure
- DevOps
AI Engineer H/F - Stage / Alternance
Converteo —Paris (75)
- À partir de 1 600 € par mois
- Temps plein
- Télétravail partiel
- Azure
- Informatique
- Ingénierie
Offre de poste – Chef de projet SENIOR
Synopsia Ingénierie —Paris (75)
- Azure
- Anglais
- Master
- Prise en charge du transport quotidien
ALTERNANCE - Assistant.e Chef de Projet Data
Moët Hennessy —Paris (75)
- Temps plein
- Anglais
- Master
- SQL
Customer Success Manager
Scality —Paris (75)
- Temps plein
- Logiciels de GRC/CRM
- Espagnol
- Azure
Chef de Projet Data F/H
Viseo —Boulogne-Billancourt (92)
- Temps plein
- Azure
- SQL
Lakebase Sales Specialist
Databricks —Paris (75)
- Azure
- Bases de données
- Niveau Licence
Postuler rapidement
il y a 11 jours

Other jobs to consider

Find your next job by exploring related positions.

Solution Engineer - EMEA NGO Marketing & Data
Salesforce —Paris (75)
Vous avez de l'expérience avec des plateformes de données cloud telles que Snowflake, Databricks, BigQuery ou Redshift, ou une familiarité avec le Data…
Data Engineer Microsoft Senior H/F
Orange SA —Courbevoie (92)
Collaborer sur tous les domaines d’activité data : BI et Analytics, Big Data, Data Science et. Stack technique que vous rencontrerez chez Expertime : Azure et…

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Key Responsibilities

1. Deployment Engineering

Lead the end-to-end technical implementation of the Agentic platform in enterprise environments.
Design and build robust integration pipelines , connecting customer data sources, APIs, and systems of record to the platform.
Deploy and scale machine learning models in production, ensuring performance, reliability, and monitoring.
Automate deployments using CI/CD pipelines, infrastructure-as-code, and container orchestration (Docker, Kubernetes).

2. AI Platform Integration & Optimization

Implement custom extensions, SDKs, and APIs to adapt the platform to customer-specific use cases.
Build tools, scripts, and microservices to handle data preprocessing, feature engineering, and real-time inference .
Optimize model serving, caching, and resource allocation for low-latency, high-throughput environments.

3. Reliability, Security & Compliance

Architect solutions that meet enterprise-grade standards for resilience, observability, and scalability.
Ensure deployments adhere to security best practices (encryption, identity management, network security).
Navigate compliance requirements such as SOC2, HIPAA, GDPR , and customer-specific regulatory constraints.

4. Engineering Leadership & Technical Escalation

Serve as the senior technical lead on customer deployments, resolving complex engineering challenges.
Partner closely with customer engineering teams to embed the platform into production workflows.
Provide critical field feedback to product and core engineering teams on performance, scaling, and enterprise integration needs.

5. Enablement & Knowledge Sharing

Create reusable deployment templates, automation scripts, and playbooks to accelerate future projects.
Mentor other Forward Deploy Engineers on advanced deployment patterns, DevOps practices, and ML systems engineering.

Qualifications

Engineering Expertise
- 10+ years in software engineering, infrastructure engineering, or applied ML engineering.
- Strong proficiency in Python , TypeScript/JavaScript , or other backend languages.
- Experience deploying systems on cloud platforms (AWS, GCP, Azure) using Kubernetes and serverless frameworks.
- Deep understanding of API design, distributed systems, and data engineering workflows .
- Hands-on experience operationalizing ML models in production (TensorFlow, PyTorch, Hugging Face, or custom inference engines).
DevOps & Infrastructure
- Strong background in CI/CD pipelines, infrastructure as code (Terraform, Helm, Ansible) .
- Skilled in setting up monitoring, observability, and alerting (Prometheus, Grafana, ELK, Datadog).
- Familiarity with performance profiling, scaling strategies, and SRE principles.
Security & Compliance Awareness
- Knowledge of enterprise SaaS security models (SSO, RBAC, encryption, API security).
- Experience working in environments subject to compliance frameworks (SOC2, HIPAA, GDPR).
Soft Skills
- Excellent debugging and problem-solving in high-pressure deployment environments .
- Strong communication with technical stakeholders (engineering teams, architects, CTOs).
- Comfort working in fast-moving, ambiguous situations with minimal guidance.