17 meilleures offres (developer java, paris 8e, a8) (à pourvoir)

SRE - DataPlatform
Veepee —Paris (75)
- Télétravail partiel
- Anglais
- Java
- Production
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Senior Site Reliability Engineer (SRE)
Swile —Paris (75)
- Télétravail partiel
- Java
- Python
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Engineering Manager - Observability & Reliability Engineering Obsession (x/f/m)
Doctolib —Levallois-Perret (92)
- Temps plein
- Java
- Leadership
- Python
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Google Cloud Architect
Valtech Group —Paris (75)
- Anglais
- Java
- Agile
Architecte Livraison Logicielle & Opérations (H/F)
TotalEnergies —Palaiseau (91)
- Azure
- Java
- C++
il y a 10 jours
Expert ServiceNow H/F
NEXTON —Paris (75)
- Temps plein
- Java
- Master
- JavaScript
Postuler rapidement
il y a 1 jour
Solution For Customization - API Consultant
Murex —Paris (75)
- Temps plein
- Azure
- DevOps
- Anglais
Senior Tech Lead - Digital Factory (H/F)
Chanel —Paris (75)
- Temps plein
- Java
- Master
- Développement logiciel
AI Technical Expert F/M
CANDRIAM —Paris (75)
- Azure
- Anglais
- Java
Technical Consultant
360Learning —Paris (75)
- Temps plein
- Télétravail
- Java
- Master
- APIs
- Horaires flexibles
RESPONSABLE TECHNIQUE LIVRAISON LOGICIELLE & OPÉRATIONS (H/F)
TotalEnergies —Palaiseau (91)
- Azure
- DevOps
- Java
il y a 10 jours
Fullstack Engineer
Entrust —Paris (75)
- Temps plein
- Informatique
- Java
- Master
il y a 1 jour
Senior Site Reliability Engineer - Observability (x/f/m)
Doctolib —Paris (75)
- Temps plein
- Azure
- Anglais
- Java
Postuler rapidement
Site Reliability Engineer (EngX)
BlaBlaCar —Paris (75)
- DevOps
- Anglais
- Java
Senior Data Engineer - Feature Platform
Voodoo —Paris (75)
- Temps plein
- Télétravail partiel
- Azure
- DevOps
- Java
Senior AI Engineer
Datadog —Paris (75)
- Java
- Intelligence artificielle
- Python
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DEVELOPPEUR ETL TALEND F/H
SATISFACTORY —Levallois-Perret (92)
- Java
- SQL
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Confirmed Site Reliability Engineer - GCP
Doctrine —Paris (75)
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SRE - DataPlatform

Veepee -
Paris (75)

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Détails de l'emploi

Qualifications

Go
Kubernetes
Anglais
Java
PostgreSQL
Terraform
S3
Kafka
Production
Python

Description complète du poste

Join a transversal SRE community embedded in a product-oriented Data Platform team of 40–50 engineers, analysts, and data scientists across France and Spain. You'll drive the reliability and scalability of a next-generation Lakehouse platform — anchored on Trino, Iceberg, and on-prem object storage — while leading the transition from public cloud to a resilient hybrid/on-prem architecture.

\uD83C\uDFAF TASKS

Platform Reliability & SRE foundations

Own reliability of core data services: Trino, Iceberg, S3 / Ceph, Kafka, Kafka Connect, Schema Registry
Define and enforce SLIs/SLOs, error budgets, and on-call runbooks — solid SRE foundations are non-negotiable
Build full-stack observability with Prometheus and Grafana: metrics, dashboards, alerting pipelines, and anomaly detection
Manage and harden PostgreSQL clusters via Patroni for high-availability control-plane services

Kafka ecosystem — Connect & Schema governance

Operate and scale Kafka Connect clusters: connector lifecycle, offset management, dead-letter queues, and task rebalancing
Maintain the Schema Registry as the single source of truth for Avro/Protobuf/JSON schemas — enforce compatibility rules and schema evolution policies
Monitor consumer lag, connector throughput, and broker health via Prometheus JMX exporters and Grafana dashboards
Ensure end-to-end data contract integrity between producers and Iceberg/S3 consumers

Kubernetes, Kube-in-Kube & Crossplane

Operate production Kubernetes clusters (GKE/EKS + on-prem) — capacity planning, upgrades, PodDisruptionBudgets, resource quotas
Architect and manage Kube-in-Kube topologies to provide strong tenant isolation for data platform workloads — each team gets a dedicated virtual cluster without the overhead of a full physical cluster
Automate infrastructure and resource provisioning with Crossplane: define composite resources (XRDs) so data teams can self-serve Kafka topics, Trino namespaces, and S3 buckets through Kubernetes-native APIs
Maintain GitOps pipelines for platform deployment and configuration drift detection

Lakehouse architecture & cloud migration

Migrate from public cloud data warehouse to VeepeeCloud Iceberg-based lakehouse — managing coexistence, schema evolution, and time-travel
Architect resilient ingestion, transformation, and serving layers around Trino + S3
Optimize Trino query performance: memory limits, spilling, cost-based optimizer tuning

Agentic & developer enablement

Build agentic self-service tooling so data teams can provision Trino/Iceberg resources and Kafka Connect pipelines autonomously via Crossplane — reducing toil and ops bottlenecks
Develop FinOps dashboards (compute, storage, query cost) with Grafana and Prometheus-based cost exporters
Write clear technical documentation, runbooks, and internal ADRs

Multi-DC resilience & DRP

Design and implement multi-datacenter strategies across FR1 / NL1 — active-active and active-passive topologies
Leverage Fast Erasure Coding on object storage (Ceph/S3) to maximize durability with minimal replication overhead
Ensure data replication consistency across sites for Iceberg table metadata, Trino catalogs, and Schema Registry subjects
Lead DRP exercises: failover playbooks, RTO/RPO validation, postmortems

\uD83D\uDC49 MUST HAVE skills

Must have

Strong experience with Kubernetes in production environments
Experience with Kube-in-Kube technologies (vCluster or similar)
Solid understanding of SRE principles (SLIs/SLOs, error budgets)
Experience with Prometheus and Grafana
Experience with Infrastructure as Code (Terraform or similar)
Experience with Crossplane
Familiarity with GitOps workflows
Experience with S3 and object storage technologies
Experience with PostgreSQL and Patroni
Experience with Kafka, Kafka Connect, and Schema Registry
Fluent in English

\uD83D\uDC49 NICE TO HAVE skills

Experience with multi-datacenter architectures (FR1/NL1)
Experience designing disaster recovery plans and failover playbooks
Experience with Fast Erasure Coding (Ceph/S3)
Experience with Trino, Iceberg, and Lakehouse technologies
Experience with Airflow
Experience building agentic self-service platforms
Knowledge of FinOps and cost optimization practices
Programming experience in Python, Java, or Go

✅ BENEFITS

Variable bonus
E-learning platform (self-education courses)
Meetups & conferences (local and international)
Flexible office — up to 2 days remote
International teams (France & Spain)
️ RECRUITMENT PROCESS

1️⃣ 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter
2️⃣ General Technical exchange
3️⃣ Technical exchange with the manager
4️⃣ Team Interview

We are convinced that it is up to you to define the way you work, to develop yourself and to progress.

At Veepee we guarantee that you can just be yourself!

For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis.

COMPANY For more information about our ecosystem : https://careers.veepee.com/en/home-page-en/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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