Senior Backend Platform Engineer - Remote

Zillow Group

Ciudad de México

Remote

MXN 800,000 - 1,400,000

Full time

3 days ago
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Job summary

Zillow Group is seeking an experienced Infrastructure Engineer to architect, develop, and maintain scalable backend services and APIs that power Zillow applications. You will work on large-scale distributed systems in cloud environments, with Kubernetes-based platforms.

You will mentor peers, uphold CI/CD, testing, and operational runbooks, and collaborate with product, data, and ML teams to deliver robust, observable systems.

Qualifications

  • Strong software engineering skills with production-quality code.
  • Proficiency in Go and/or Python for building infrastructure tools and automation.
  • Hands-on experience with AWS cloud infrastructure in production environments.
  • Hands-on experience with Kubernetes and containerized platforms.

Responsibilities

  • Architect, develop, and maintain scalable, secure, and highly available backend services and APIs powering Zillow applications.
  • Lead design and implementation of backend solutions that optimize performance, reliability, and observability for large-scale distributed systems in cloud environments (Kubernetes-based).
  • Collaborate with product, front-end, data, and ML teams to translate requirements into robust designs and end-to-end solutions.
  • Implement and uphold engineering best practices, including automated testing, code reviews, CI/CD, instrumentation, and runbooks.
  • Troubleshoot and resolve complex production issues, conduct root cause analysis, and drive systemic improvements to reduce incidents.
  • Mentor engineers through code/design reviews, pairing, and knowledge sharing.

Skills

Go
Python
AWS
Kubernetes
Linux
CI/CD
Terraform
Docker
OpenTelemetry
Service Mesh

Tools

Terraform
Helm
Docker
OpenTelemetry
Prometheus

Job description

Zillow Group is seeking an experienced Infrastructure Engineer to architect, develop, and maintain scalable backend services and APIs that power Zillow applications. You will work on large-scale distributed systems in cloud environments, with Kubernetes-based platforms.

You will mentor peers, uphold CI/CD, testing, and operational runbooks, and collaborate with product, data, and ML teams to deliver robust, observable systems.

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