Lead Azure DevOps

N-iX is looking for a Lead Azure DevOps for one of their clients. The role focuses on designing, implementing, and maintaining an Azure-based cloud infrastructure that powers connected safety systems, handles secure data ingestion from mobile and embedded devices, and manages scalable storage for telemetry and crash data. The position involves providing reliable notification services for emergency contacts and collaborating with mobile, embedded, and algorithm teams to ensure robust integrations. It also supports the deployment of machine learning models for crash detection while maintaining alignment with cybersecurity and data privacy standards.

• At least 5 years of experience in cloud engineering, preferably with Microsoft Azure
• Strong understanding of cloud-native services, serverless architecture, API development, and data pipelines
• Familiarity with security best practices including encryption, identity management, and regulatory compliance
• Proficiency in scripting and automation tools such as PowerShell, Python, Terraform, or Bicep
• Experience using monitoring tools like Azure Monitor, Application Insights, or Prometheus
• Familiarity with Azure-specific tools including Functions, API Management, Event Grid, IoT Hub, Blob Storage, Cosmos DB, and PostgreSQL

Nice to have:

• Experience with Prometheus
• Experience with Blob Storage, Cosmos DB, PostgreSQL
• Experience with BLE devices
• Experience with IoT

Architecture & Design:

• Design and implement scalable Azure cloud architecture for telemetry ingestion, user data management, and crash event processing

API Development:

• Develop and maintain RESTful APIs for the integration of mobile apps and BLE-enabled devices

Database Management:

• Optimize database design and performance to ensure scalability for telemetry and event workloads

Notification Workflows:

• Build and manage SMS, email, and push notification workflows triggered by crash events

ML Support:

• Support the deployment and versioning of machine learning models used for crash detection

Automation & DevOps:

• Implement CI/CD pipelines for cloud services and infrastructure using Azure DevOps

Optimization:

• Monitor and optimize cloud resource usage, costs, and overall performance to ensure system reliability under real-world conditions

Compliance:

• Implement infrastructure and workflows that align with cybersecurity and data privacy standards, such as GDPR and ISO/IEC 27001