On-Site Senior Data Platform Engineer (Kubernetes, AWS)

Qube Research & Technologies; Paris; On-site; EUR 120,000 - 170,000; Full time

Job summary

Qube Research & Technologies in Paris seeks a Senior Data Platform Engineer to join our on-site DevOps team. You will own the architecture, reliability, and performance of production data systems, including ClickHouse, Trino, and cloud-native stacks.

You will design, operate, and scale data platforms across on-prem and AWS, drive IaC practices, and mentor engineers while raising the bar on observability and security.

Qualifications

• 8+ years in DevOps or Data Platform Engineering with production-scale infra.
• Distributed data systems experience (ClickHouse, Trino, EMR) performance tuning.
• Kubernetes expert with stateful workloads, Helm, operators at scale.
• Infrastructure-as-Code expertise (Terraform, Helm) with reusable patterns.
• AWS data ecosystem knowledge (S3, EKS, EMR, MSK, RDS).
• Deep AWS IAM security knowledge.
• Docker and CI/CD pipelines hands-on.
• Data pipelines expertise (Kafka, Spark, Airflow).
• Strong Linux scripting (Python/Bash).
• Ability to challenge designs and drive improvements; mentoring.

Responsibilities

• Owning architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.).
• Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements.
• Designing and operating database clusters on Kubernetes (via operators) at scale.
• Setting standards and best practices for data pipelines (ingestion, transformation, replication).
• Driving and maturing Infrastructure-as-Code practices (Terraform, Helm).
• Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS).
• Establishing standards for Docker images and CI/CD workflows for data services.
• Defining and maintaining AWS IAM policies, permissions, and security best practices.
• Leading complex troubleshooting across the stack (databases, OS, storage, networking).
• Defining and improving observability practices (metrics, alerting, capacity planning).
• Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions.

Skills

DevOps

Data Platform

Kubernetes

Terraform

Helm

AWS

CI/CD

Python

Databases

Kafka

Spark

Airflow

Linux

Tools

ClickHouse

Trino

CockroachDB

Kubernetes

Docker

Terraform

Helm

S3

EKS

EMR

MSK

RDS

Prometheus

Grafana

OpenTelemetry

ArgoCD

Flux

Job description

Qube Research & Technologies in Paris seeks a Senior Data Platform Engineer to join our on-site DevOps team. You will own the architecture, reliability, and performance of production data systems, including ClickHouse, Trino, and cloud-native stacks.

You will design, operate, and scale data platforms across on-prem and AWS, drive IaC practices, and mentor engineers while raising the bar on observability and security.