Staff Engineer, Java Backbase

NagarroNagarro·Remote(India)
Software Development
Excel

WFA Digital Insight

As the demand for skilled backend engineers continues to rise, Nagarro's search for a Staff Engineer highlights the importance of expertise in Java and core backend development. With the growth of digital product engineering, candidates with experience in building scalable and secure systems are in high demand. Before applying, it's essential to understand the company's focus on innovation and collaboration.

Job Description

About the Role

Nagarro is seeking a seasoned Staff Engineer to join their team, focusing on building scalable, secure, and high-performance backend systems using Java 17 and core backend development.

Responsibilities

  • Building microservices using Spring Boot and RESTful APIs
  • Working with the Backbase platform, including service orchestration, SDKs, and widget customization
  • Designing scalable, secure, and high-performance backend systems

Requirements

  • 7+ years of total experience
  • Strong hands-on experience with Java 17 and core backend development
  • Proficiency in building microservices using Spring Boot and RESTful APIs
  • Hands-on experience with the Backbase platform
  • Experience with containerization tools like Docker and orchestration using Kubernetes

Benefits

  • Relocation Assistance
  • Tuition Reimbursement

How to Stand Out

  • Focus on showcasing your experience with Java 17 and core backend development, highlighting specific projects and accomplishments.
  • Be prepared to discuss your understanding of scalable and secure system design, as well as your experience with containerization tools like Docker.
  • Emphasize your ability to work collaboratively and communicate effectively with team members.
  • Review the company's products and services, demonstrating your interest in Nagarro's mission and values.
  • Practice whiteboarding exercises to improve your problem-solving skills and be ready to discuss system performance tuning and scalability optimization.

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