Senior Azure DevOps Engineer (Cloud)

TL;DR

Senior Azure DevOps Engineer (Cloud): Designing and evolving scalable cloud platforms with an accent on Azure services, infrastructure automation, and security compliance. Focus on leading complex on-premises to cloud migrations, implementing robust CI/CD pipelines, and integrating AI-powered tools to enhance software delivery efficiency.

Location: Must be based in the European Union region and possess a valid work permit.

Company

hirify.global is a global AI-first digital transformation and engineering partner with over 25 years of experience, helping organizations build scalable products and data-driven solutions.

What you will do

• Design and evolve cloud platforms with a focus on Azure services.
• Lead on-premises to cloud migration initiatives ensuring scalability and high availability.
• Implement automated deployment pipelines and infrastructure provisioning solutions.
• Drive platform security testing and ensure compliance with security standards.
• Partner with Product, Architecture, and Software Engineering teams to deliver secure SaaS products.
• Contribute to platform engineering and security research to introduce innovative solutions.

Requirements

• 6+ years of experience in infrastructure, software engineering, or DevOps.
• Strong expertise in Microsoft Azure Cloud services (IaaS, PaaS, SaaS) and Azure Kubernetes Service.
• Proven track record of migrating on-premises workloads to cloud using rehosting, re-platforming, or refactoring.
• Proficiency in Infrastructure as Code (Terraform, Bicep, or Pulumi) and scripting languages (PowerShell, Bash, SQL, KQL).
• Solid background in container orchestration with Kubernetes and Docker.
• Must be based in the European Union region and hold a valid work permit.
• English proficiency: B2 minimum.

Nice to have

• Familiarity with Elasticsearch and Linux configuration management.
• Background in implementing ISO 27001 and SOC 2 controls.
• Understanding of OWASP Testing Guide and methodology.
• Experience applying GenAI within the SDLC and interest in AI-driven practices.

Culture & Benefits

• Focus on engineering excellence and a people-first culture.
• Continuous growth and knowledge-sharing environment.
• Exposure to leading technologies and high-profile global clients.
• Consulting mindset with a focus on cloud-native transformation.

Hiring process

• CV review
• HR call
• Technical Interview
• Client Interview
• Decision