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Cloud Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Synchro
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, SRE/Site Reliability, Network Engineer
Job Description & How to Apply Below

Position:
Cloud Platform Engineer (Bare metal and AWS)

Location:

Austin, TX - onsite M-F

Base salary plus bonus, with strong PTO

Our client is seeking a Cloud Platform Engineer to help design, operate, and evolve a Linux and Kubernetes platform supporting data-intensive production systems. The focus of this role is platform stability, scalability, and long-term reliability, across both cloud and on-prem environments.

This is a platform engineering role. It is not site reliability engineering, not release engineering, and not application development.

Responsibilities

  • Own and operate production Kubernetes clusters, including environments with 100+ nodes
  • Design, maintain, and improve Linux and Kubernetes platforms for data-heavy workloads
  • Help deploy and support new cloud (AWS) and on-prem / bare metal infrastructure environments
  • Support offline and batch-oriented processing systems that rely on the platform
  • Build and maintain internal platform and deployment tooling
  • Troubleshoot platform-level issues related to performance, reliability, networking, and scale
  • Partner with system and application teams to support critical shared infrastructure

Required Qualifications

  • Hands-on experience operating production Kubernetes environments
  • Experience running Kubernetes in bare-metal or on-prem environments
  • Solid understanding of Kubernetes architecture and internals
  • Experience deploying workloads and debugging production issues in Kubernetes
  • Ability to build automation or tooling in Python or Go
  • Strong knowledge of Linux internals and networking
  • Experience working in hybrid cloud and on-prem environments

Helpful Experience

  • Familiarity with Infrastructure as Code or Git Ops workflows in support of platform operations
  • Exposure to GPU-enabled infrastructure or virtualization, including Nvidia-based environments
  • Background in infrastructure-heavy, platform, or systems teams
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