Azure Developer

In a dynamic and rewarding work environment, you will collaborate with an experienced leadership team, possess strong technology expertise, and maintain robust relationships with a wide customer and partner base. Hitachi Solutions provides a competitive compensation and benefits package, regular performance reviews, bonuses, and ongoing training opportunities.

At Hitachi Solutions, we pride ourselves on being industry leaders and fostering a work environment where personal and professional growth is encouraged. Our commitments to employees include recognizing that profitability and success stem from our team's efforts, offering challenging work across diverse industries, and acknowledging the importance of continual learning and personal growth. We value individual contributions and are committed to creating an enriching environment through open communication.

• ****
• **Title**: Azure Development
• **Experience Level**: 3 ~ 8 years
• **Position**: Consultant/ Senior Con/ Specialist
• **Primary Skills**:

• Working experience in Microsoft Azure Stack IoT Hub, Event Hub, Azure Functions, Azure Logic Apps, Azure Data Factory, Cosmos DB, Azure Databricks, Azure ML, IoT Edge, Docker, Python
• Good knowledge of using Serverless Functions (Using Java/Python), App services, Azure Kubernetes services, etc.
• Experience in configuring & monitoring attributes, handling scale-up/down scenarios for Network Service Components on Azure
• Any experience in implementing Azure security, authentication, and single sign-on

**Secondary Skills**:

• Deploying cloud applications in Azure following industry best practices
• Detailed design of cloud applications including design patterns and principles
• Experience in performance tuning of cloud-based applications
• Working in an agile/DevOps environment with CI/CD pipelines, Git Hub/Bitbucket
• Automation tools like Jenkins, Puppet, Ansible, Terraform
• Microsoft certification on Azure Development preferred

**Additional Skills Required**:

• Working with Azure Kubernetes, DevOps, Microservices, Azure Service, Media services, Azure Service Bus, Azure storage, Azure AI modules
• Leveraging Cloud-Based Machine Learning on Azure

**Key Responsibilities**:

• Implementing highly scalable solutions
• Translating business requirements into viable technical design and implementation
• Understanding and improving current applications and technical architecture
• Following software development lifecycle and structured implementation approach

- Code review, ensuring project quality, and resolving performance issues,