Staff Platform Engineer: Scale Cloud Infra & Data Layer

Nango

Argentina

Presencial

ARS 211.826.000 - 332.869.000

Jornada completa

Hace 11 días
Generador de candidaturas

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Descripción de la vacante

Nango is a developer infrastructure company and the leading provider of API access for agents and apps. A Staff Platform Engineer will own the cloud platform end-to-end, including BYOC deployments, and set the standard for reliable scale.

You will drive the product roadmap and work with a small autonomous team to ship quickly while maintaining security and compliance. The role requires 10+ years in platform or SRE roles, deep AWS and Kubernetes experience, and a strong product mindset.

Formación

  • 10+ years in platform, infrastructure, DevOps or SRE roles in production.
  • Deep production Kubernetes experience and opinions about when it's the wrong tool.
  • Experience with BYOC, single-tenant, on-prem, or air-gapped environments.

Responsabilidades

  • Own and scale the cloud infrastructure behind the open-source platform.
  • Lead BYOC deployments with provisioning, upgrades, and observability.
  • Operationalize IaC and GitOps foundations for fast shipping at scale.
  • Make reliability a product feature with meaningful SLOs and incident processes.
  • Lead the data layer: Postgres, Redis, Elasticsearch, and ClickHouse at scale.
  • Own infrastructure security and compliance: SOC 2, GDPR, HIPAA, security reviews.
  • Shape roadmap and strategy with high ownership.

Conocimientos

Kubernetes
AWS
Terraform
PostgreSQL
Security & compliance
SRE

Herramientas

GitOps
IaC
Redis
Elasticsearch
ClickHouse
PostgreSQL

Descripción del empleo

Nango is a developer infrastructure company and the leading provider of API access for agents and apps. A Staff Platform Engineer will own the cloud platform end-to-end, including BYOC deployments, and set the standard for reliable scale.

You will drive the product roadmap and work with a small autonomous team to ship quickly while maintaining security and compliance. The role requires 10+ years in platform or SRE roles, deep AWS and Kubernetes experience, and a strong product mindset.

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