Data & Analytics Site Reliability Engineer

We are looking for a hands-on Azure Site Reliability Engineer to support and improve the reliability of cloud-based data processing and analytics services. 
3 days per week on-site. in Lisbon.

The role focuses on Infrastructure as Code, operational automation, CI/CD, monitoring and the resolution of complex Level 2 and Level 3 incidents.

The ideal profile has strong Terraform and Azure DevOps experience, together with practical knowledge of Azure data services such as Data Factory, Synapse, Databricks, Event Hubs and Storage Accounts. Experience with Datadog or Azure Monitor, Python or Bash scripting, Linux and Windows environments, security principles and Azure operations is required. This is an infrastructure and platform reliability role, not a web development position or a basic Level 1 support role. 

About the Project

This position requires a solid technical background and extensive expertise across cloud and automation technologies. The main objective is to accelerate and improve the reliability of infrastructure and data-platform deployments by applying DevOps principles. This is not a basic Level 1 support role: it requires advanced end-to-end automation using Infrastructure as Code and CI/CD, complex problem-solving across Level 1 and Level 2 issues, and the integration of security best practices and Agile methodology.

Main Responsibilities

Accelerate the secure, reliable, and repeatable delivery and operation of cloud infrastructure and data-platform workloads through DevOps practices. Improve cloud adoption and operational efficiency with end-to-end automation, Infrastructure as Code, CI/CD, proactive incident resolution, and security controls built into delivery. This is a hands-on engineering role that goes beyond basic Level 1 support and requires complex problem-solving across support levels.

• Provide operational support for data processing and analytics services automations, and continuously evolve them to improve reliability, performance, security, and alignment with business needs.
  
• Design, deploy, and maintain cloud infrastructure using Terraform.
  
• Create, manage, and optimize continuous integration and continuous deployment (CI/CD) pipelines using Azure DevOps and Git.
  
• Manage Level 2 and Level 3 incident resolution using central monitoring systems such as Datadog and Azure Monitor.
  
• Fully automate complex standard requests, including cloud accounts, service principals, and SSL certificate renewals.
  

Requirements

• Terraform: Expert knowledge of Terraform for Infrastructure as Code (IaC) deployment is essential.
  
• Azure DevOps and Git: Strong expertise in Azure DevOps (Pipelines, Boards, and Repos) and excellent proficiency in Git.
  
• Azure experience: At least 4 to 5 years of confirmed experience with Azure components, including Storage Accounts, Data Factory or Synapse, SQL Database, Azure Machine Learning, and Azure Cost Management.
  
• Data processing and analytics services: Understands and supports data ingestion and processing with Azure Data Factory, Databricks, Synapse, Azure Data Explorer, Stream Analytics, Event Hubs, Event Grid, and IoT Hub. Works with data storage and databases including Storage Accounts, Cosmos DB, PostgreSQL Flexible Server, and SQL Server. Familiarity with supporting AI and application services is also relevant, including Azure Machine Learning, Cognitive Services, AI Foundry
  
• IT fundamentals and security: Good knowledge of standard IT environments, including Active Directory and network protocols (TCP/IP, DNS, and HTTPS), as well as security principles such as SSL and network isolation.
  
• Automation scripting: Advanced proficiency in at least one programming or scripting language, such as Python or Bash/Shell.
  
• Operating systems: Solid experience with Linux (Red Hat) and Windows Server.
  
• Communication and collaboration: Excellent communication skills in English and the ability to build relationships and work effectively with teams in France.