Go (Golang) software engineers and backend developers

Go backend developers implement application services when new product requirements exceed existing engineering capacity. They translate business rules into maintainable code and connect services to databases or external systems.

• REST and gRPC APIs: Implement request validation and authorization, with explicit error handling and compatibility tests for existing consumers.
• Data access: Develop PostgreSQL queries and transaction handling, or integrate Redis caching where access patterns justify it.

Unit and integration tests cover business rules alongside dependency failures.

Go microservices engineers assess service boundaries before extracting functionality from a larger application. They identify shared data dependencies and release constraints, then implement service contracts that allow components to change independently.

For asynchronous workflows, specialists build Kafka or RabbitMQ consumers with retry handling and idempotent processing. They define timeout and cancellation behavior through Go contexts, and test partial failures between services. Architectural assessment can also establish when keeping functionality together avoids unnecessary operational complexity.

Connect Go application development to the requirements of running containers in production. Engineers create Docker builds and configure application behavior for Kubernetes, including readiness checks and graceful shutdown during releases.

Specialists can add GitHub Actions pipelines for automated tests and image builds, then integrate application deployment steps with existing release controls. OpenTelemetry instrumentation connects traces to request handling, while Prometheus metrics expose application behavior. This work gives operations teams application-level evidence when investigating failed releases or runtime errors.

Go engineers investigate slow endpoints and unstable services using pprof profiles, benchmarks and execution traces alongside production metrics. They isolate CPU or memory bottlenecks before changing code, then compare results against a reproducible baseline.

Ongoing support covers defect resolution and dependency upgrades as well as changes to existing functionality. Specialists investigate goroutine leaks and data races with targeted tests and Go's race detector. For unfamiliar codebases, regression tests establish current behavior before refactoring performance-sensitive paths.