Job Description: Java MicroServices Lead Developer
Mandatory Skills:
Bachelor’s degree in Computer Science or higher as well as related field of study
10+ years of professional experience in software development
Strong experience in back-end software development with following skills:
Strong in Core Java coding skills using JAVA 8+, J2EE, Spring Boot, Hibernate/JPA, spring security
Experience with REST APIs, JSON, and Microservices Architecture.
Experience with development using Spring Frameworks (Spring Boot, Spring Cloud Services, Spring Security, etc.).
Experience using ETL frameworks like Apache AirFlow, Spring Batch, Apache Camel etc.
Good knowledge of SQL (MS-SQL, PostGres Sql ), Snowflake and of NoSQL databases preferably COSMOS.
Strong experience working with any Cloud Frameworks preferably Azure and of Docker, Kubernetes (AKS).
Good experience with Enterprise Messaging frameworks like KAFKA.
Good experience configuring/ troubleshooting CI/CD pipelines preferably Azure DevOps.
Skills Required
- Bachelor's degree in Computer Science or related field
- 10+ years of professional experience in software development
- Strong Core Java coding skills using Java 8+
- Experience with J2EE
- Experience with Spring Boot
- Experience with Hibernate/JPA
- Experience with Spring Security
- Experience with REST APIs, JSON, and Microservices Architecture
- Experience with Spring Cloud Services
- Experience using ETL frameworks like Apache Airflow, Spring Batch, Apache Camel
- Good knowledge of SQL (MS-SQL, Postgres)
- Experience with Snowflake
- Experience with NoSQL databases, preferably Cosmos DB
- Strong experience with cloud frameworks, preferably Azure
- Experience with Docker and Kubernetes (AKS)
- Experience with enterprise messaging (Kafka)
- Experience configuring/troubleshooting CI/CD pipelines, preferably Azure DevOps
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.








