Lead Consultant Java Full Stack

Inviting applications for the role of Lead Consultant - Java Full Stack

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.

• Build responsive and dynamic front-end applications using Angular 13+.

• 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.

Minimum Qualifications

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

• Hands on experience in Java application development and Maintenance .

• Strong hands-on experience with:

• Java 8+, Spring Boot, Microservices

• Angular 13+, RxJS

• JUnit and 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

• Ability to Mentor junior developers.

Preferred Qualifications

• Strong hands-on experience with:

• CI/CD tools: Git, Jenkins, CircleCI

• Cloud platforms: GCP or similar

• Kafka or other messaging systems

• NgRx

• Experience with containerization tools like Docker and orchestration with Kubernetes.

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