Senior Java Backend Engineer - Microservices & Cloud

Capgemini

Wrocław

Hybrid

PLN 210,000 - 260,000

Full time

9 days ago
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Benefits offered by this job

Hybrid work model
NEXT platform training & certification
Medicover private medical care
Life insurance
NAIS benefits (Netflix, Spotify)

Job summary

Capgemini is seeking a Senior Java backend developer in Wrocław to design and build scalable microservices using Java and the Spring ecosystem. You will ensure code quality, performance, and scalability while collaborating with DevOps on cloud infrastructure.

You will contribute to REST APIs, testing strategies with JUnit/Mockito, and modern Java features, with a hybrid work model and access to training resources on NEXT platform.

Qualifications

  • 5+ years in Java development and backend systems.
  • Strong knowledge of core Java and memory management.
  • Experience with Spring Boot/Spring Data and REST APIs.
  • Hands-on unit/integration testing with JUnit/Mockito.
  • Familiarity with cloud (GCP), DevOps collaboration, and microservices.

Responsibilities

  • Designing and developing backend systems using Java and Spring ecosystem.
  • Building and maintaining microservices-based architectures.
  • Writing high-quality, performance-focused code with tests.
  • Collaborating with DevOps on cloud infrastructure (GCP).
  • Participating in code reviews and architecture discussions.

Skills

Java development
Core Java
Memory management
Concurrency
Future/Completable
Modern Java features
Spring Boot
Spring Data
REST APIs
Microservices
JUnit
Mockito
GCP

Tools

Docker
Kubernetes
Kafka
ActiveMQ
Jenkins
GitLab CI
Terraform

Job description

Capgemini is seeking a Senior Java backend developer in Wrocław to design and build scalable microservices using Java and the Spring ecosystem. You will ensure code quality, performance, and scalability while collaborating with DevOps on cloud infrastructure.

You will contribute to REST APIs, testing strategies with JUnit/Mockito, and modern Java features, with a hybrid work model and access to training resources on NEXT platform.

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