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Jobberman

Backend Developer (Java)

Reposted 10 Days Ago
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Remote
Hiring Remotely in Eti-Osa, Lagos
Entry level
Remote
Hiring Remotely in Eti-Osa, Lagos
Entry level
Design, develop, and maintain scalable Java backend services, microservices, and RESTful APIs using Spring Boot. Manage data persistence with JPA, Hibernate, and relational databases; integrate third-party services; build Kafka event pipelines and Redis caching; implement security with JWT and OAuth2; test and review code; troubleshoot production issues; and deploy containerized applications with Docker, Kubernetes, AWS, and CI/CD.
The summary above was generated by AI
Summary:

We are seeking a skilled Senior Backend Engineer to design, develop, and sustain robust server-side applications. This pivotal role focuses on creating high-performance, scalable microservices and RESTful APIs using Java and the Spring Boot framework. The ideal candidate will drive architectural decisions, ensure data integrity through advanced database interactions, and implement secure, event-driven systems. By leveraging modern cloud infrastructure and DevOps practices, this position is essential for delivering reliable, efficient, and secure software solutions that meet evolving business demands.

Responsibilities:
  • Architect and sustain backend services utilizing Java and Spring Boot technologies.
  • Engineer scalable RESTful APIs and microservice architectures to support business growth.
  • Manage data persistence and retrieval by leveraging Spring Data JPA, Hibernate, and relational database systems.
  • Facilitate seamless connectivity with external third-party APIs and integrated services.
  • Construct event-driven processing pipelines using Apache Kafka and enhance system speed with Redis caching strategies.
  • Enforce rigorous security protocols through Spring Security, JWT, and OAuth2 standards.
  • Produce comprehensive unit and integration tests while actively engaging in peer code reviews.
  • Diagnose and resolve production-level incidents while optimizing application performance and scalability.
  • Deploy and manage containerized applications within Docker and Kubernetes environments, supported by AWS cloud services and CI/CD pipelines.


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