Senior Solution Architect (Azure Integration)

Job Description

Role Summary:

We are seeking a highly skilled and experienced Senior Azure Cloud Solution Engineer, and Implementor with a strong background in application and data integration. The ideal candidate will be responsible for the design, development, and deployment of complex cloud-native applications and data solutions on Microsoft Azure. This role demands hands-on expertise in Azure services, automation, AI integration, and end-to-end solutioning with a focus on scalability, performance, and reliability.

Key Responsibilities:

• Cloud Solution Design & Development:
  • Architect and implement scalable, secure, and resilient applications on Azure.
  • Hands on expertise with end-to-end application development using Azure services including Azure SQL, PostgreSQL, Azure Data Factory (ADF), Logic Apps, and Azure AI services.
  • Design and implement data pipelines and integration workflows.
• Application & Data Integration:
  • Integrate diverse applications and data sources using Azure-native tools.
  • Build and manage APIs, microservices, and event-driven architectures.
• Automation & AI Integration:
  • Leverage Azure Automation, AI Foundry, and Power Automate to streamline operations and enhance intelligence in applications.
  • Implement AI-driven features and analytics using Azure Cognitive Services and Machine Learning.
• DevOps & Deployment:
  • Manage CI/CD pipelines using tools like Azure DevOps, Terraform, and Kubernetes.
  • Ensure smooth deployment and monitoring of applications across environments.
• Technical Leadership:
  • Lead technical discussions, mentor junior developers, and drive innovation in cloud technologies.
  • Troubleshoot complex issues and provide strategic solutions.

Required Skills & Experience:

• Cloud Expertise:
  • 12+ years of experience in application development and integration, with at least 5+ years on Azure.
  • Strong hands-on experience with Azure Databases, Azure storage , Azure SQL server , PostgreSQL, Cosmos DB, Kafka ADF, Logic Apps, Azure Storage, Data Lake, and Azure AI services.
• Programming & Data Engineering:
  • Proficiency in SQL, Python, and/or Java.
  • Solid understanding of data engineering, analytics, and data modelling.
• DevOps & Infrastructure:
  • Experience with Kubernetes, Terraform, CI/CD pipelines, and cloud infrastructure automation.
• Integration & Automation:
  • Hands-on experience with Power Automate, Azure Automation, and Logic Apps.
• Soft Skills:
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and leadership abilities.

Preferred Qualifications:

• Microsoft Azure certifications (e.g., AZ-204, AZ-305, DP-203,).
• Experience with AI/ML model deployment on Azure.
• Familiarity with enterprise integration patterns and cloud security best practices.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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