Remote Senior Kubernetes & Go Engineer Flexible High Impact

BairesDev

México

A distancia

MXN 2.036.000 - 3.053.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD pay
Home equipment provided
Flexible hours
Parental leave

Descripción de la vacante

BairesDev is seeking a Senior Kubernetes & Golang Engineer to design, develop, and maintain cloud-native systems and platform infrastructure. You will serve as a key technical contributor, ensuring containerized environments are scalable, reliable, and optimized for advanced workloads.

You will design Go-based services and CRDs, optimize networking and storage, and architect deployments for retrieval-augmented generation workloads.

Formación

  • 5+ years of Software Engineering or Systems Development experience.
  • Strong Golang and Kubernetes expertise.
  • Hands-on experience with Kubernetes CRDs and controllers.
  • Knowledge of Kubernetes networking plugins (CNI) and storage interfaces (CSI).
  • Familiarity with designing and deploying RAG architectures.
  • Advanced proficiency in English.

Responsabilidades

  • Design and implement Kubernetes controllers and operators to automate complex workflows.
  • Develop Go-based system and microservices for cloud-native environments.
  • Configure and optimize cluster networking, storage interfaces, and CSI.
  • Architect and deploy infrastructure to support retrieval-augmented generation workloads.
  • Collaborate with engineering teams to improve platform reliability, scalability, and delivery pipelines.

Conocimientos

Kubernetes
Golang
CRDs
CNI/CSI
RAG architectures
English

Descripción del empleo

BairesDev is seeking a Senior Kubernetes & Golang Engineer to design, develop, and maintain cloud-native systems and platform infrastructure. You will serve as a key technical contributor, ensuring containerized environments are scalable, reliable, and optimized for advanced workloads.

You will design Go-based services and CRDs, optimize networking and storage, and architect deployments for retrieval-augmented generation workloads.

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