Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Golang Engineer role requires strong commercial experience in building backend services using Golang, with a preference for candidates who also have PHP experience. The position focuses on designing and operating microservices architectures, particularly within fintech or payments environments, and involves working with various data stores and containerized environments. Candidates should have a solid understanding of concurrent systems and experience with event-driven architectures.
Key Responsibilities:
- Build backend services in Golang.
- Design and operate microservices architectures.
- Work in production fintech or payments environments.
- Understand concurrent, distributed systems and high throughput transaction processing.
- Utilize event-driven architectures and messaging systems.
- Work with relational and NoSQL datastores.
- Deploy and run services in containerized environments using Docker and Kubernetes.
Key Skills:
- Strong commercial experience in Golang.
- Experience with PHP is a bonus.
- Proven experience in microservices architectures.
- Understanding of concurrent and distributed systems.
- Experience with event-driven architectures and messaging systems (e.g. Kafka, RabbitMQ).
- Experience with relational and NoSQL datastores (e.g. PostgreSQL, MongoDB, BigQuery).
- Hands-on experience with Docker and Kubernetes.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Strong commercial experience building backend services in Golang (PHP experience is a bonus) • Proven experience designing and operating microservices architectures, ideally in production fintech or payments environments • Solid understanding of concurrent, distributed systems and high throughput transaction processing • Experience with event driven architectures and messaging systems (e.g. Kafka, RabbitMQ) • Strong experience working with relational and NoSQL datastores (e.g. PostgreSQL, MongoDB, BigQuery) • Hands on experience deploying and running services in containerised environments using Docker and Kubernetes