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QA Automation | Go + Kubernetes

CRH Talento de IT · Ciudad de México, Mexico · Remote

Weak hiring record · median 179 days open

2222

Hiring signal

Ghost risk

Open 410 days · How we score

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  • Open 410 days
  • 81% of this employer's openings are over 60 days old

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QA Automation | Go + Kubernetes at CRH Talento de IT. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

**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.

Skills

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