Java L3 Support Engineer

Capgemini

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

12 days ago
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Job summary

Capgemini in Bengaluru is seeking a highly skilled Java L3 Support Engineer with strong expertise in Java maintenance and Dev (L3). The role is anchored in Bengaluru and focuses on Java/J2EE, Kafka, RESTful APIs, and microservices architecture using Spring Boot.

Selected candidate will work with Core Java, RESTful services, and modern CI/CD workflows, including Git-based collaboration. Strong communication, learning willingness, and collaboration within a global team are valued.

Qualifications

  • Strong programming and analytical skills using Core Java.
  • Experience developing microservices using Spring Boot.
  • Knowledge of scripting languages: Shell, Perl, JavaScript or Python.
  • Experience with Git/GitHub/GitLab.

Skills

Java/J2EE
Kafka
Java 8
RESTful API
SQL
Unix
Spring Boot
Microservices
Git
GitHub
GitLab
Shell scripting
Perl
JavaScript
Python
Spark
Hadoop
HDFS

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations

Your Role

We are seeking a highly skilled Java L3 Support Engineer with 47 years of experience to join our dynamic team in Bangalore. The ideal candidate will have strong expertise in Java Maintenance Dev (L3)

Your Profile
  • Skills- Java/J2EE, Kafka, Java 8, RESTFul API, Git, SQL, Unix
  • Strong programming and analytical skills using Core Java
  • Experience developing Micro services Architecture using Spring Boot
  • Proficient with Restful API dev, Java 8 features Kafka
  • Working experience with git/github/gitlab
  • Enthusiastic and willing to learn new technologies
  • Good communication skill.
  • Knowledge of Scripting languages: Shell script, Perl, JavaScript or Python.
  • Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF
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