Senior Backend Engineer (Java/Go) - Cloud-Native, Kubernetes

Persistent Systems; Belfast City District; Hybrid; GBP 70,000 - 110,000; Part time

Benefits offered by this job

Competitive salary and benefits

Growth opportunities & education

Hybrid work + flexible hours

Employee engagement activities

Insurance coverage: life & health

Job summary

Persistent Systems in Belfast, Northern Ireland, is seeking a highly skilled Python Developer to design and build scalable backend systems leveraging cloud-native and microservices architectures. This role focuses on developing robust RESTful APIs, containerized applications, and deploying solutions on Kubernetes/OpenShift.

The ideal candidate has 5+ years of experience, strong Python and distributed systems expertise, and hands-on experience with containerization, DevOps practices, and cloud

Qualifications

• Senior software engineer with backend/API experience
• Hands-on API design with Java/Go
• Cloud-native architecture and containers
• Experience with distributed systems and scaling
• CI/CD and DevOps practices
• Linux and container fundamentals
• Production monitoring and incident response

Responsibilities

• Design and develop scalable RESTful APIs and backend services
• Deliver production services deployed on Kubernetes/OpenShift
• Build highly available, scalable distributed systems
• Ensure API versioning, authentication, authorization, and resilience
• Lead design discussions and mentor other engineers
• Troubleshoot production issues in distributed environments

Skills

Senior engineer

Java

Go

REST API

Kubernetes

Microservices

CI/CD

Linux

Observability

Architecture design

Mentoring

Tools

AWS

GCP

Azure

Job description

Persistent Systems in Belfast, Northern Ireland, is seeking a highly skilled Python Developer to design and build scalable backend systems leveraging cloud-native and microservices architectures. This role focuses on developing robust RESTful APIs, containerized applications, and deploying solutions on Kubernetes/OpenShift.

The ideal candidate has 5+ years of experience, strong Python and distributed systems expertise, and hands-on experience with containerization, DevOps practices, and cloud