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QA Automation | Go + Kubernetes

QA Automation | Go + Kubernetes

CRH Talento de ITCiudad de México, Ciudad de México, MX
Hace 12 días
Tipo de contrato
  • Quick Apply
Descripción del trabajo

En CRH Talento en IT, nos especializamos en la búsqueda y selección de consultores en el sector de Tecnologías de Información (IT) de acuerdo con las necesidades de nuestros clientes.

QA Automation | Go + Kubernetes

Location :

  • Mexico | Remote
    • Must have skills :
  • Go
  • AWS
  • Docker
  • Kubernetes
  • gRPC

Requirements :

  • 5+ years of backend engineering experience, with strong hands-on experience using Golang in production systems.
  • Deep understanding of Go idioms, concurrency, memory management, error handling, and interface-based design.
  • Experience building greenfield services or working on 0 to 1 product phases in dynamic, cross-functional teams.
  • Solid understanding of distributed systems, gRPC APIs, and microservice architectures.
  • Proficient with cloud infrastructure (AWS or GCP), containerization (Docker), and orchestration (Kubernetes).
  • Familiarity with observability tooling (e.g., Datadog, Prometheus, CloudWatch) for debugging and reliability.
  • Strong design instincts with experience building systems that scale across teams and services.
  • Comfortable navigating ambiguity, shifting priorities, and loosely defined problem spaces.
  • Clear written and verbal communication, with a collaborative and ownership-driven mindset.
  • Detail-oriented, self-motivated, and passionate about code quality, best practices, continuous delivery, and automated testing
  • Ability to work directly with the customer without supervision
  • English level B2 or higher

    • Nice to Have

  • Familiarity with Python, especially in the context of prototyping or integration with legacy systems.
  • Experience working with GraphQL, RESTAPI, and Kafka in a production setting.
  • Practical knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.
  • Exposure to semantic versioning, API backward compatibility strategies, and contract-first development.
  • Contributions to internal platform patterns or engineering-wide architecture reviews.
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