Software Developer (Go) - Security Analytics

We are building a new capability that turns fragmented, noisy security logs into explainable, AI-powered threat analysis, delivered inside the RedMimicry platform. As a Software Developer at RedMimicry, you will take a leading role in developing a new security analytics capability within our platform. You will build Go backend components and the application layer. Experience with web frontend frameworks is welcome, but not required for this role. This is a fixed term contract, running until 2027-10-31. Tasks Build the Analysis Backend: Implement the services that receive security telemetry, run analysis workflows, and store results and evidence. Design APIs: Define stable, versioned interfaces for ingestion, analysis, and reporting. Design Domain Models: Define maintainable data models for security events, analysis results, and supporting evidence. Handle Long-Running Jobs: Implement asynchronous processing, progress reporting, retries, cancellation, and useful failure states. Work at Volume: Move and process large telemetry sets with predictable memory, throughput, and backpressure behaviour. Integrate Model Inference: Build the interfaces between our services and our AI/ML components, including queuing, timeouts, partial results, and fallbacks. Keep Evidence Traceable: Preserve the path from an analysis result back to the exact source fields and log fragments behind it. Implement Reporting: Build consistent JSON and PDF reporting pipelines for machine-readable and human-readable outputs. Build Secure Multi-Tenant Components: Apply authentication, authorisation, tenant separation, and secure data-handling patterns. Maintain Engineering Quality: Add tests, review code, document interfaces, profile performance, and translate analyst feedback into concrete improvements. Requirements Go Strong practical Go experience and a clear sense of idiomatic Go Concurrency with goroutines, channels, and context, including cancellation and timeouts Profiling, benchmarking, and reasoning about allocations and memory Confident use of the standard library and a deliberate approach to dependencies Backend Engineering API design, versioning, validation, and error handling Relational data modelling and SQL Asynchronous jobs, queues, background processing, and failure recovery Testing and observability System Design Service boundaries, event-driven workflows, and integration patterns Authentication, authorisation, and tenant isolation Containerised applications and production deployment workflows Performance and reliability under large data volumes Reporting and Data Presentation JSON APIs and machine-readable exports PDF or document-generation pipelines Audit-oriented or evidence-oriented data structures are a plus Cybersecurity Knowledge Experience with SOC tooling, SIEM, EDR, incident response, threat hunting, or security analytics is a strong advantage Ability to understand process, host, identity, network, and timeline data Frontend (welcome, but not required) Mo