Cloud Software Engineer (Azure)

Cognizant is seeking a Cloud Software Engineer to architect and build secure, cloud-native, API-driven solutions on Microsoft Azure. The role focuses on data movement and transformation, API lifecycle management and security, Java and GraphQL development, and CI/CD delivery within Agile/Scrum teams.

Responsibilities:

• Architect and develop solutions on Microsoft Azure, leveraging Azure Functions, Azure Data Factory, Azure Storage, and related services for data movement, transformation, and orchestration between systems
• Own the full API lifecycle using Azure API Management, including API design (REST, OpenAPI/Swagger), development, versioning, security, analytics, monitoring, and deprecation
• Implement API security, including authentication and authorization with Azure Active Directory, and develop and manage custom API security policies, mTLS, and API throttling
• Develop APIs using GraphQL as well as Java, Spring Data JPA, and Spring Boot
• Build and maintain CI/CD pipelines using tools such as Git and GitHub Actions while working within Agile/Scrum teams

Requirements:

• Hands-on experience architecting and developing solutions on Microsoft Azure using Azure Functions, Azure Data Factory, Azure Storage, and related services
• Strong API lifecycle management experience with Azure API Management, including API design (REST, OpenAPI/Swagger), versioning, security, analytics, monitoring, and deprecation
• Proven API security experience implementing authentication/authorization with Azure Active Directory, plus custom API security policies, mTLS, and API throttling
• Proficiency in Java, Spring Data JPA, and Spring Boot for API development, along with GraphQL API development
• Experience with relational and NoSQL databases (MySQL/Oracle/MongoDB), PL/SQL, CI/CD tooling (Git, GitHub Actions), and working in Agile/Scrum teams
• Working knowledge of Angular, JavaScript, or C++ to explore and understand existing applications
• Experience designing scalable, high-performance data integration patterns across distributed systems