10 meilleures offres (full stack java, paris 12e, a8) (à pourvoir)

SRE - DataPlatform
Veepee —Paris (75)
- Télétravail partiel
- Anglais
- Java
- Production
Postuler rapidement
Senior MLOps Engineer - Data Ingestion - Paris
Doctolib —Paris (75)
- Temps plein
- Azure
- Anglais
- Java
Postuler rapidement
DevOps EXPERT Kafka / ou développeur Kafka (IT) / Freelance
SURICATE IT —Paris (75)
- Espagnol
- DevOps
- Anglais
il y a 7 jours
Staff Engineer – AI (France)
Altirnao —Paris (75)
- Anglais
- Java
- JavaScript
Staff Applied AI Software Engineer (Python) - Patient (x/f/m)
Doctolib —Paris (75)
- Temps plein
- Anglais
- Java
- Production
Postuler rapidement
Senior Security Engineer - SecOps (x,f,m)
Doctolib —Paris (75)
- Temps plein
- Anglais
- Java
- Technologies de l'information
Postuler rapidement
Tech Lead DevX (f/h)
Bpifrance —Maisons-Alfort (94)
- Temps plein
- Java
- Master
- Esprit d'analyse
Manager I, Engineering - Husky
Datadog —Paris (75)
- Java
Postuler rapidement
Tech Lead - Solution Squad
Pelico —Paris (75)
- Java
il y a 11 jours
Tech Lead & Project Manager Bruz F/H
Thales —Vélizy-Villacoublay (78)
- Temps plein
- Java
- JavaScript

More jobs to discover

Find similar jobs that you might be interested in.

Consultant Confirmé/Senior AI Engineer - CDI (H/F)
Nexialog Consulting —Paris (75)
Vous maîtrisez l'anglais technique. Vous maîtrisez les frameworks et outils de l'écosystème IA générative les plus récents.

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : full stack java (paris 12e, a8)

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.

SRE - DataPlatform

Veepee -
Paris (75)

Postuler rapidement

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.

Postuler rapidement

Affinez votre recherche

full stack java emplois - paris 12e, a8

SRE - DataPlatform

Senior MLOps Engineer - Data Ingestion - Paris

DevOps EXPERT Kafka / ou développeur Kafka (IT) / Freelance

Staff Engineer – AI (France)

Staff Applied AI Software Engineer (Python) - Patient (x/f/m)

Senior Security Engineer - SecOps (x,f,m)

Tech Lead DevX (f/h)

Manager I, Engineering - Husky

Tech Lead - Solution Squad

Tech Lead & Project Manager Bruz F/H