Senior Engineer - GO

About the Role

We are looking for a Senior Backend Engineer with deep Go expertise to join our engineering team. You will work across three interconnected areas: building reliable data pipelines and IoT ingestion systems, designing and securing API services that power our platform, and contributing to the cloud infrastructure tooling that keeps everything running.

This is a role for engineers who care about correctness, performance, and maintainability and who want their work to have real-world impact on open data infrastructure.

Responsibilities

• Design, build, and maintain high-throughput Go services and data ingestion pipelines
• Build secure, well-documented APIs using standard authentication and authorization protocols
• Deploy, configure, and operate services in cloud and container environments
• Own database schema design, query optimization, and migration strategies
• Apply appropriate caching and messaging patterns to meet reliability and latency requirements
• Write clean, well-tested code unit tests, integration tests, and contract tests where applicable
• Uphold strong source control practices: meaningful commits, disciplined branching, and thorough pull request reviews
• Contribute to CI/CD pipelines and shared developer tooling
• Participate in architecture reviews, technical planning, and cross-team design discussions
• Support and mentor engineers through code review and knowledge sharing

Required Qualifications

• 5+ years writing production-grade Go, with a solid grasp of concurrency patterns, idiomatic design, and performance characteristics
• Strong understanding of distributed systems: scalability, consistency trade-offs, and fault tolerance
• Hands-on experience deploying and operating containerized services in cloud environments (container orchestration, managed cloud platforms)
• Relational database design and optimization schema modelling, indexing, and query analysis
• Familiarity with identity and access management standards (token-based auth, delegated authorization flows)
• Experience using in-memory data stores for caching, session state, or pub/sub messaging
• Disciplined approach to software quality: testing at multiple levels, static analysis, and clear code review feedback
• Comfortable working on Linux systems with containerization and infrastructure-as-code tooling
• Familiar with 12-factor app principles and the operational concerns of cloud-native services.