Back End Developer

Role Overview

We are seeking highly skilled Golang Engineers to join a fast-paced engineering team responsible for building and enhancing next-generation banking and payment platforms. The successful candidate will play a critical role in designing, developing, and operating scalable backend services supporting high-volume, mission-critical financial transactions.

You will work within a modern cloud-native environment, building resilient microservices and event-driven systems that support secure, real-time transaction processing across a complex banking ecosystem. The role requires strong engineering fundamentals, deep Golang expertise, and experience operating distributed systems at scale.

Working closely with Architects, Product Owners, SRE, DevOps, and Platform Engineering teams, you will contribute to the end-to-end software development lifecycle while ensuring solutions meet the highest standards of performance, security, resilience, and observability.

Key Responsibilities

Software Engineering

• Design, develop, and maintain robust backend services using Golang.
• Build highly scalable APIs and microservices supporting banking and payment capabilities.
• Develop reusable libraries, frameworks, and engineering standards.
• Participate in system architecture and technical design discussions.
• Ensure code quality through automated testing, code reviews, and engineering best practices.
• Troubleshoot and resolve complex production issues.

Distributed Systems & Scalability

• Design and implement distributed systems capable of processing high-throughput financial transactions.
• Optimise system performance, latency, availability, and fault tolerance.
• Implement resilience patterns including:
• Circuit breakers
• Retry mechanisms
• Dead-letter queues
• Bulkheads
• Rate limiting
• Support multi-service platform architectures operating at scale.

Event-Driven Architecture

• Design and implement event-driven solutions leveraging:
• Apache Kafka
• RabbitMQ
• Streaming architectures
• Asynchronous processing patterns
• Develop event producers and consumers supporting business-critical workflows.
• Ensure reliable event delivery, replay strategies, and idempotent processing.

Cloud & Container Platforms

• Build and operate services running within Kubernetes environments.
• Develop and maintain Docker containers.
• Contribute to deployment automation and CI/CD pipelines.
• Collaborate with Platform and SRE teams on scalability, security, and operational excellence.

Data Engineering & Persistence

• Design and optimise data models for both relational and NoSQL databases.
• Work with:
• PostgreSQL
• MongoDB
• BigQuery
• Redis (desirable)
• Ensure performance, resilience, and data integrity across services.
• Implement efficient querying, indexing, and transactional processing.

Engineering Excellence

• Promote agile and DevSecOps practices.
• Support observability through:
• Logging
• Metrics
• Tracing
• Monitoring
• Participate in architecture reviews and engineering governance.
• Mentor junior engineers and contribute to engineering communities of practice.