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Mid-Level Golang Engineer (Remote, Latin America)

FullStack · Rivera

Nouveau Remote
Remote Mid 🇬🇧 English
Go Go modules goroutines channels context Docker Kubernetes Kafka RabbitMQ NATS gRPC Concurrency Parallelism Synchronization GCP AWS Azure Tekton Argo Jenkins X Spinnaker GitHub Actions GitLab CI CDEvents CloudEvents Temporal.io Cadence Argo Workflows OpenTelemetry Prometheus SQL ETL JavaScript TypeScript IAP

Description du poste

About the role

We are looking for a Mid‑Level Golang Engineer to join our talent network and work remotely with U.S. clients on project‑based assignments. You will become an integral part of the client’s engineering team, collaborating daily with designers and engineers.

Key responsibilities

  • Develop and maintain Go services using idiomatic package design, goroutines, channels and the standard testing toolchain.
  • Design, build and operate distributed systems and micro‑services, including RESTful and gRPC APIs.
  • Integrate and manage message brokers such as Kafka, RabbitMQ or NATS, handling delivery guarantees and replay.
  • Containerize applications and manage workloads with Docker and Kubernetes, writing manifests and troubleshooting live environments.
  • Contribute to CI/CD pipelines and developer tooling using platforms like Tekton, Argo, Jenkins X, Spinnaker, GitHub Actions or GitLab CI.
  • Work with major cloud providers (GCP, AWS, Azure) on compute, networking and load‑balancing resources.
  • Participate in observability implementation with OpenTelemetry, Prometheus or similar stacks.

Required profile

  • 3+ years of professional software engineering experience.
  • 2+ years of hands‑on Go development, including Go modules and testing.
  • Advanced English proficiency.
  • Completed a four‑year college degree.
  • Production experience designing and operating distributed systems.

Required skills

  • Go (Golang), Go modules, goroutines, channels, context.
  • Docker, Kubernetes.
  • Message brokers: Kafka, RabbitMQ, NATS.
  • RESTful and gRPC service design.
  • Concurrency, parallelism, synchronization.
  • Cloud platforms: GCP, AWS, Azure.
  • CI/CD tools: Tekton, Argo, Jenkins X, Spinnaker, GitHub Actions, GitLab CI.
  • Event‑driven specifications: CDEvents, CloudEvents.
  • Workflow orchestration: Temporal.io, Cadence, Argo Workflows.
  • Batch or real‑time stream processing.
  • Open‑source contributions (optional).
  • JavaScript or TypeScript.
  • Observability: OpenTelemetry, Prometheus.
  • SQL performance, stored procedures, ETL.
  • Google Cloud services: GKE, Cloud Run, Cloud Load Balancing, IAP.

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