11 meilleures offres (python/ devops senior, paris 14e, a8) (à pourvoir)

Forward Deployed Engineers - Python - Paris
Photon —Paris (75)
- Azure
- DevOps
- JavaScript
Devops Sénior
AVALIANCE —Massy (91)
- De 40 000 € à 62 000 € par an
- Azure
- DevOps
- Ingénierie
Ingénieur de production - Devops sur Nanterre
EterniTech —Nanterre (92)
- Expérience en supervision
- Linux
- Python
Sr. Devops Engineer II
DoubleVerify —Paris (75)
- DevOps
- SQL
- AWS
Postuler rapidement
Senior Site Reliability Engineer
Alice & Bob —Paris (75)
- Télétravail partiel
- DevOps
- Production
- Python
Postuler rapidement
il y a 13 jours
Senior AI Engineer - H/F/X
Veepee —Paris (75)
- Niveau Doctorat
- Master
- Machine learning
Sr System Program Developer II
SBS —Courbevoie (92)
- DevOps
- AWS
- Python
- Horaires flexibles
il y a 5 jours
Senior Consultant.e – Generative AI & Agentic Engineer (H/F)
Wavestone —Puteaux (92)
- Temps plein
- Azure
- Anglais
- Intelligence artificielle
il y a 1 jour
Data Engineer Confirmé H/F
mc2i —Paris (75)
- Azure
- Master
- SQL
- Prise en charge du transport quotidien
- Actionnariat salarié
17 h
Lead ITOps / Architecte technique GED – Banque
Tilencia —Paris (75)
- Temps plein
- Linux
- Production
- Opérations bancaires
Postuler rapidement
17 h
Senior Consultant.e – Data & AI engineer (H/F)
Wavestone —Puteaux (92)
- Temps plein
- Azure
- Anglais
- SQL
il y a 1 jour

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Ingénieur DevOps Expert – Kubernetes / Azure / Python (IT) / Freelance
Gentis Recruitment SAS —Paris (75)
Type de prestation : Assistance technique / prestations intellectuelles applicatives. Nous recherchons un Ingénieur DevOps Expert.
[LFR] Ingénierie DevOps Openshift à Issy-les-Moulineaux - 1608 (IT) / Freelance
ISUPPLIER —Issy-les-Moulineaux (92)
CONTEXTE : Nous sommes à la recherche d?un expertise OpenShift et connaissant Kubernetes afin de nous aider la mise en ?uvre et la maintenance de notre…
De 300 € à 515 € par jour

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Forward Deployed Engineers - Python - Paris

Photon -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Qualifications

TensorFlow
CI/CD
Azure
Kubernetes
Ansible
PyTorch
DevOps
Chiffrement
Google Cloud Platform
Docker
JavaScript
Systèmes distribués
Terraform
Ingénierie système
Securité
Production
SaaS
TypeScript
Python
Debugging

Description complète du poste

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.

Soumettre votre candidature

Affinez votre recherche

python/ devops senior emplois - paris 14e, a8

Forward Deployed Engineers - Python - Paris

Devops Sénior

Ingénieur de production - Devops sur Nanterre

Sr. Devops Engineer II

Senior Site Reliability Engineer

Senior AI Engineer - H/F/X

Sr System Program Developer II

Senior Consultant.e – Generative AI & Agentic Engineer (H/F)

Data Engineer Confirmé H/F

Lead ITOps / Architecte technique GED – Banque

Senior Consultant.e – Data & AI engineer (H/F)

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