Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

Hard Requirements (Must-Haves)


  • Staff-Level Seniority (SME): Proven experience operating a level above Senior Engineer, acting as a domain expert who identifies infrastructure friction, automates platform tooling, and drives technical standards independently.
  • Python or Golang Engineering: Deep production expertise in Python or Golang for building custom infrastructure automation, developer CLIs, and platform deployment tools.
  • Cloud Infrastructure (AWS): Hands-on experience architecting and managing cloud infrastructure on AWS (transferable expertise with GCP or Azure is acceptable).
  • Containers & Orchestration: Advanced experience with Docker and Kubernetes (cluster management, pod configuration, troubleshooting deployment failures).
  • Infrastructure as Code (IaC): Strong ability to read, write, and structure modular infrastructure code using Terraform.
  • Apache Kafka Depth: Hands-on experience operating Kafka clusters, managing topic partitions, and executing streaming data migrations.
  • CI/CD & Operational Tooling: Experience configuring and maintaining Jenkins build pipelines alongside operational monitoring in Datadog.
  • U.S. Pacific Timezone Overlap: Minimum 6 hours daily overlap with U.S. Pacific Standard/Daylight Time.
  • High-Integrity Communication & Ownership: Excellent written and spoken English, proactive status reporting, transparent collaboration, and high personal accountability.


Nice-to-Have Requirements


  • Machine Learning Platform (MLOps) Infrastructure: Experience building infrastructure tools or deployment pipelines for ML platforms and model serving.
  • Game Development / Publishing Platform Context: Background supporting publishing platforms, internal developer enablement teams, or live-service game operations.
  • Multi-Cloud Expertise: Direct exposure to multi-cloud environments (AWS alongside GCP or Azure).

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