Back End Developer
Free Tailor for ATS: 10/10 runs left
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.