Lead Consultant, Java

Inviting applications for the role of Lead Consultant, Java

In this role, you will be a key contributor to the design, development, and deployment of scalable Java-based microservices and full-stack applications. You will work in a fast-paced Agile environment, collaborating with cross-functional teams to deliver high-quality software solutions using modern development practices and cloud-native technologies.

Responsibilities

Design & Development

Develop and maintain scalable Java 8+ backend services using Spring Boot and Microservices architecture.

Design and implement Kafka-based solutions for real-time data streaming and processing.

Testing & Quality Assurance

Write and maintain unit and integration tests using JUnit and related testing frameworks.

Ensure code quality through peer reviews and automated testing pipelines.

DevOps & CI / CD

Implement and manage CI / CD pipelines using Github , CircleCI , and Jenkins .

Collaborate with DevOps teams to ensure smooth deployment and monitoring of services.

Agile Collaboration

Participate in Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and demos.

Work closely with Product Owners, QA, and other developers to deliver features on time.

Qualifications we seek in you!

Minimum Qualifications

Bachelor's degree in computer science, Engineering, or a related field.

Hands-on of experience in Java application development and Maintenance

Strong hands-on experience with :

Java 8 or above versions

Spring Boot

Microservices

Junit or Unit Testing or test-driven development

Experience working in Agile / Scrum environments.

Strong problem-solving skills and ability to work independently

Excellent Interpersonal skills and effective communication skills to interact with Client

Preferred Qualifications

Strong hands-on experience with :

CI / CD tools : Git, Jenkins, CircleCI

Kafka, or Messaging system

Cloud platforms : GCP or similar

Angular, Rxjs, Ngrx

Experience with unit testing frameworks such as Jest or Jasmine.

Experience with containerization tools like Docker and orchestration with Kubernetes.

Familiarity with monitoring tools like Prometheus, Grafana, or Stack driver.