About the role

Cloud Developer (Azure) designing backend services and APIs at Equisoft. Collaborating with product development team to improve Core Insurance products and user experiences.

Responsibilities

Design and develop cloud-native backend services and components using Java, Python, and .NET
Build and maintain RESTful APIs and microservices architectures in Azure
Develop and optimize SQL scripts and stored procedures for data processing and integration
Implement data engineering solutions using Databricks for analytics and reporting
Collaborate with DevOps and infrastructure teams to ensure seamless deployment and scalability
Write clean, maintainable, and well-documented code following best practices
Participate in code reviews and contribute to the continuous improvement of development standards
Troubleshoot and resolve backend performance and integration issues
Design and implement event-driven architectures and asynchronous processing workflows
Develop automated testing strategies including unit, integration, and performance tests
Work with containerized applications using Docker and orchestration platforms
Contribute to the technical documentation and knowledge sharing within the team
Optimize backend components for performance, scalability, and cost-efficiency in the cloud

Technical Bachelor's Degree in Computer Science, Software Engineering or related field
3-5 years of relevant experience in a similar role
Experience developing cloud-native applications in Microsoft Azure
Understanding of cloud design patterns and architectures (serverless, microservices, event-driven)
Understanding of API security, authentication, and authorization patterns
Experience in programming skills in at least two languages like: Java, Python, .NET/C#
Proficiency in designing and building RESTful APIs and microservices
Familiarity with Azure services such as Azure Functions, App Services, Service Bus, Event Hub, or Storage
Strong knowledge of SQL and experience writing complex queries and stored procedures
Experience with Databricks or similar data processing platforms
Experience with test-driven development and automated testing frameworks
Knowledge of containerization technologies (Docker)
Excellent knowledge of English (spoken and written)