Platform Engineer - Python/Golang, AWS & Kafka (Remote)

X-Team International

United States

Remote

USD 83,000 - 165,000

Full time

28 hours ago
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Benefits offered by this job

Gamified community
Flexible schedules
Wellness stipends

Job summary

X-Team International is seeking an exceptional Platform/Infrastructure Engineer to join a highly autonomous, fast-moving client's team supporting infrastructure tooling for game development and publishing platforms. This is above senior level and you will lead engineering best practices.

You will work on internal deployment tooling, drive Kafka migrations, and shape the architectural evolution of deployment automation while collaborating with engineers worldwide in a fully remote setup.

Qualifications

  • Expertise in Python (Golang is a plus) for backend development.
  • Deep knowledge of cloud infrastructure (AWS preferred; GCP or Azure transferable).
  • Strong experience with containerization and orchestration (Docker, Kubernetes).
  • Proficient with Infrastructure as Code (Terraform or equivalent).
  • Solid understanding and hands-on experience with Kafka (clusters, streaming, migrations).
  • Experience with CI/CD pipelines and operational tooling (e.g., Datadog, Jenkins).
  • Strong communication, problem-solving, and collaboration skills.

Responsibilities

  • Lead architectural evolution of internal deployment automation.
  • Drive a core Apache Kafka cluster migration.
  • Establish best practices across the platform ecosystem.

Skills

Python backend
AWS cloud infra
Docker & Kubernetes
Terraform / IaC
Kafka
CI/CD tooling
Communication & collaboration

Job description

X-Team International is seeking an exceptional Platform/Infrastructure Engineer to join a highly autonomous, fast-moving client's team supporting infrastructure tooling for game development and publishing platforms. This is above senior level and you will lead engineering best practices.

You will work on internal deployment tooling, drive Kafka migrations, and shape the architectural evolution of deployment automation while collaborating with engineers worldwide in a fully remote setup.

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