Backend Automation Engineer — Java, Python & AWS

Harvey Nash; Dublin; On-site; EUR 70,000 - 100,000; Full time

Job summary

Harvey Nash in Ireland is seeking a System Development Engineer to design, develop and maintain scalable backend applications that automate lifecycle management of network devices across fulfilment centres. You will build backend services with Java and Python, leverage AWS, and collaborate with cross-functional teams to deliver reliable software that improves device utilization and capacity planning.

The role emphasizes production stability and ongoing enhancements within a large-scale

Qualifications

• Strong hands-on experience with Java and Python.
• Experience developing scalable backend applications and services.
• Experience with AWS services and cloud-based architectures.

Responsibilities

• Design, develop, and implement new application features.
• Build scalable backend services using Java and Python.
• Develop solutions to automate network device lifecycle management.
• Create applications that improve network device utilisation and operational efficiency.
• Develop software to forecast network traffic and capacity across fulfilment centres.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Troubleshoot and resolve production issues.
• Perform bug fixing and application enhancements.
• Maintain and support business-critical production applications.
• Improve application performance, stability, and reliability.

Skills

Java

Python

Backend development

AWS

System design

Job description

Harvey Nash in Ireland is seeking a System Development Engineer to design, develop and maintain scalable backend applications that automate lifecycle management of network devices across fulfilment centres. You will build backend services with Java and Python, leverage AWS, and collaborate with cross-functional teams to deliver reliable software that improves device utilization and capacity planning.

The role emphasizes production stability and ongoing enhancements within a large-scale