Site Reliability Engineer- Data Platform (W/M/X)

Veepee; Paris (TX); Hybrid; USD 78,000 - 123,000; Full time

Benefits offered by this job

Variable bonus

Profit-sharing and incentive schemes

Remote work up to 2 days/week

Online language-learning platform

Works Council with benefits

Food/meal vouchers

Job summary

Veepee’s Data Platform team runs a modern, AI-enabled data platform on Kubernetes. You’ll help keep services reliable as we migrate to an open-source stack with Kafka, Trino, Iceberg and Ceph. The role focuses on availability, performance, capacity, and cost while enabling data teams across BI, analytics and data science.

You will automate infrastructure with Terraform, ArgoCD and GitLab, improve monitoring, and drive incident response. Excellent English is required.

Qualifications

• Experience running production Kubernetes clusters with reliable incident handling.
• Hands-on with Terraform and GitOps tooling for infra automation.
• Strong observability focus: Prometheus, Grafana, SLOs, alerting that actions follow.
• On-call experience and writing blameless postmortems.
• Proficient in Go or Python for automation and tooling.
• Solid Linux networking fundamentals and CI/CD familiarity.
• Professional English, written and spoken.

Responsibilities

• Run and improve data platform reliability on Kubernetes, focusing on availability, performance, capacity and cost.
• Define and track SLOs; enhance monitoring and alerting to reduce noisy alerts.
• Automate infrastructure as code (Terraform, Crossplane), GitOps (ArgoCD), and CI/CD (GitLab).
• Participate in on-call rotations; lead incidents and postmortems to drive fixes.
• Collaborate with data engineers on production readiness, migrations and tooling.
• Experiment with AI in ops: agents, MCP tools, and automated runbooks.

Skills

Kubernetes

Infrastructure as code

GitOps

CI/CD

Go

Python

Linux networking

Incident management

English communication

Networking basics

Tools

Terraform

ArgoCD

GitLab CI

Prometheus

Grafana

Ceph

S3

Job description

Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, the company collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une durée limitée. Présent dans de nombreux univers parmi lesquels la mode, la maison, le vin, le voyage, ou encore la beauté ... the company a réalisé en 2024 un chiffre d’affaires de 3,3 milliards d’euros TTC et compte 5 000 collaborateurs répartis dans 10 pays.

The Data Platform team builds and runs the platform behind the company's data: streaming, query engine, data catalog, storage and Kubernetes. It serves every data team, from BI and analytics to data science, pricingand personalisation.

We are in the middle of our move from GCP to a self-hosted, open-source data platform built on Kafka, Trino, Apache Iceberg, Apache Polaris, Ceph and Kubernetes. Projects like this are rare. You'll help build it, make it production-grade and keep it reliable.

We also work AI-first. We use Claude and GitHub Copilot every day, expose our platform to AI agents through MCP servers, and keep an AI-ready knowledge base.

TASK

• Run and improve the reliability of our data platform on Kubernetes: availability, performance, capacity, cost.
• Define and track SLOs, and improve monitoring and alerting (Prometheus, Grafana) so that fewer, more useful alerts reach people.
• Automate everything you can: infrastructure as code (Terraform, Crossplane), GitOps (ArgoCD), and CI/CD (GitLab).
• Take part in on-call [rotation details], lead incidents and write blameless postmortems that lead to lasting fixes.
• Work with data engineers and other data teams on production readiness, migrations and tooling.
• Try out AI in operations: agents that investigate incidents, MCP tools, automated runbooks.

MUST HAVE SKILLS

• Kubernetes in production: you have run clusters and the workloads on them, not only deployed to them.
• Infrastructure as code and GitOps: Terraform, plus ArgoCD or a similar tool.
• Observability: Prometheus and Grafana, SLOs, and alerting that people actually act on.
• On-call and incident management: real incidents handled, root causes found, postmortems written.
• Coding: Go or Python for automation and tooling, plus solid Linux and networking basics.
• CI/CD: GitLab CI or similar.
• Curiosity about AI: you already use AI assistants (Claude, GitHub Copilot or similar) in your daily work, and you want to find out how they can change the way we run platforms.
• Professional English, written and spoken.

NICE TO HAVE SKILLS

• Kafka (KRaft, Kafka Connect)
• Trino, Opensource : Apache Iceberg, Apache Polaris
• Object storage (Ceph, S3) and Postgres (Patroni)
• Crossplane, OPA
• GCP
• FinOps practices
• English

BENEFITS

• Variable bonus
• Profit-sharing and incentive schemes
• Remote work possible for up to 2 days per week
• Online language-learning platform
• Works Council (CSE) with a wide range of benefits
• CESU vouchers (service vouchers) and holiday vouchers
• Access to corporate dining facilities and smart fridges (Foodles, Kumo, Bolk)
• Access to an on-site gym

RECRUITMENT PROCESS

30-minute HR Screen with a Talent Acquisition PartnerInterview with the Hiring Manager

• Business & Technical Interview with local Team

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