
QA Automation | Go + Kubernetes
CRH Talento de IT · Ciudad de México, Mexico · Remote
Weak hiring record · median 179 days open
All reasons
- Open 410 days
- 81% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
**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
- Go
- Kubernetes
- AWS
- Docker
- gRPC
- GCP
- Datadog
- Prometheus
- AWS CloudWatch
- Python
- GraphQL
- Kafka
- Terraform
- AWS CloudFormation
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