Lead Azure DevOps

N-iX; Województwo małopolskie; On-site; PLN 133,920 - 167,400; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Personalized career growth

Professional development tools

Education reimbursement

Corporate events and team buildings

Job summary

N-iX is hiring a Lead Azure DevOps in Poland, Województwo małopolskie. The role emphasizes designing and maintaining Azure-based infrastructure critical for safety systems. Duties include API development, database management, and implementing CI/CD pipelines using Azure DevOps. Candidates should have at least 5 years of experience in cloud engineering, proficiency in scripting, and knowledge of security practices. This position offers flexibility in working formats, a competitive salary, and opportunities for professional development.

Qualifications

• At least 5 years of experience in cloud engineering, preferably with Microsoft Azure.
• Strong understanding of cloud-native services and serverless architecture.
• Familiarity with security best practices, including encryption and regulatory compliance.

Responsibilities

• Design and implement scalable Azure cloud architecture.
• Develop and maintain RESTful APIs for mobile apps.
• Optimize database design and performance for telemetry workloads.
• Build and manage notification workflows triggered by crash events.
• Support the deployment and versioning of machine learning models.

Skills

Cloud engineering

Microsoft Azure

API development

Scripting and automation tools

Security best practices

Tools

PowerShell

Python

Terraform

Azure Monitor

Job description

N-iX is looking for a Lead Azure DevOps for one of our clients. The Cloud Engineer role focuses on the design, implementation, and maintenance of an Azure-based cloud infrastructure. This infrastructure is critical for powering connected safety systems, handling secure data ingestion from mobile and embedded devices, and managing 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. Additionally, the role supports the deployment of machine learning models for crash detection while maintaining alignment with cybersecurity and data privacy standards.

Responsibilities

• 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

Requirements

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

Nice to Have

• Domain Expertise: Experience with IoT, wearable safety systems, or BLE device integration and telemetry handling
• Advanced ML Ops: Exposure to the lifecycle management and deployment of machine learning models
• Certifications: Professional certifications such as Azure Solutions Architect or Azure Security Engineer

Benefits

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers