Principal GoLang Engineer

• At least 10 years of professional software engineering experience
• At least 5 years of substantial commercial experience with Go
• Experience working as a  Staff Engineer, Principal Engineer, Technical Lead or Solution Architect
• Proven technical ownership of complex production systems
• Strong experience designing and operating distributed, highly available systems
• Experience with platforms processing high volumes of events, traffic or data
• Deep knowledge of Go, including concurrency, memory management, profiling, testing and performance optimisation
• Strong understanding of distributed systems concepts, including:
  • partitioning and replication
  • eventual consistency
  • idempotency and delivery guarantees
  • retries and failure handling
  • high availability and graceful degradation
• Extensive experience with Apache Kafka or a comparable event-streaming platform
• Strong experience with microservices and RESTful API design
• Advanced SQL skills and commercial experience with PostgreSQL
• Production experience with Docker and Kubernetes
• Experience diagnosing complex incidents in distributed environments
• Good understanding of observability, application security and reliable software delivery
• Ability to make and clearly communicate architectural decisions
• Very good command of English

Practical experience using AI coding tools to accelerate development, testing, debugging, or code review
Experience introducing AI-assisted workflows without compromising security, quality, or engineering judgment
Background in networking, telecommunications, observability, or high-volume data platforms
We value engineers who prefer clear trade-offs over fashionable abstractions, working software over elaborate diagrams, and measurable improvements over technical theatre.

• Designing and developing scalable, fault-tolerant backend services in Go
• Building high-throughput data ingestion and event-processing pipelines
• Designing event-driven architectures based on Apache Kafka
• Defining service boundaries, data flows and communication patterns
• Making architectural decisions concerning scalability, consistency, availability and failure recovery
• Diagnosing performance, concurrency and production reliability issues
• Improving engineering standards for code quality, testing, observability and security
• Leading complex technical initiatives and mentoring experienced engineers
• Cooperating with architects, DevOps engineers, product teams and domain experts