Data & Analytics Site Reliability Engineer

About the Position

We are looking for an experienced Data & Analytics Site Reliability Engineer to help enhance the reliability, security, and performance of cloud-based data platforms in an evolving enterprise cloud environment.

This is a hands-on engineering role combining Site Reliability Engineering (SRE), DevOps, and Infrastructure as Code. You will play a key role in automating cloud operations, improving deployment processes, and ensuring the stability of data and analytics services across Microsoft Azure.

Responsibilities

• Design, deploy, and maintain cloud infrastructure using Terraform and Infrastructure as Code (IaC);
• Build and optimize CI/CD pipelines using Azure DevOps, Git, and GitHub Actions;
• Support and improve data processing and analytics services across Azure;
• Investigate and resolve complex L2/L3 incidents, using monitoring tools such as Datadog and Azure Monitor;
• Automate operational tasks, including cloud account provisioning, service principal management, and SSL certificate renewals;
• Improve platform reliability, performance, security, and cost efficiency;
• Support Azure data services such as Data Factory, Databricks, Synapse, Event Hubs, and Azure Data Explorer;
• Develop automation scripts to reduce manual work and improve operational efficiency;
• Apply security best practices across cloud infrastructure, networking, and deployment workflows;
• Collaborate with international engineering teams and stakeholders, including teams based in France.

Requirements

• 4–5+ years of hands-on experience with Microsoft Azure;
• Strong expertise in Terraform and Infrastructure as Code;
• Advanced knowledge of Azure DevOps, including Pipelines, Boards, and Repos, and proficiency in Git;
• Experience supporting Azure data and analytics platforms;
• Scripting skills in Python, Bash, or Shell;
• Strong knowledge of networking, IT fundamentals, and security, including Active Directory, TCP/IP, DNS, HTTPS, and SSL;
• Experience with Linux (Red Hat) and Windows Server;
• Familiarity with monitoring, incident management, and troubleshooting complex cloud environments;
• Ability to automate operational processes and solve problems beyond basic support activities;
• Strong communication skills and proficiency in English.

Nice to Have

• Experience with Azure Machine Learning, Cognitive Services, or AI Foundry;
• Knowledge of Stream Analytics, Event Grid, IoT Hub, and Azure Data Explorer;
• Familiarity with Datadog, Azure Monitor, and Azure Cost Management.

We Offer

• Opportunity to work in a dynamic and innovative environment;
• Competitive salary and benefits package;
• Opportunity to work with cutting-edge technologies;
• Professional growth and development opportunities.

About the Company

[Company description if present]