Infrastructure Architect

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

What We Look For In You
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership.
Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems.
Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments.
Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations.
Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies.
Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows.
Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution.
Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams.
Nice to Haves
Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred.
Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms.
Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production.
Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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