Cloud Platform Engineer, Traffic Infrastructure-Platform Engineering

About the team

Our Platform Engineering team sits at the core of ByteDance’s global traffic infrastructure. We build and operate the edge cloud product system and resource operation framework that powers TikTok’s worldwide services. We constantly iterate our product models and workflows, apply modern engineering best practices, and keep our entire infrastructure stable, efficient, and cost-effective — ultimately delivering a better experience for both internal teams and external users.

• Edge cloud product development : We build foundational edge computing products, including bare-metal and virtual machine services. We keep refining user experience, optimizing resource delivery, and improving inventory efficiency to better support business growth.
• Global resource operation platform : We’ve built a unified three-tier architecture based on resource data warehouses, cost & billing systems, and resource management platforms. Our team optimizes global resource pool scheduling, improves resource utilization, and drives continuous cost reduction and business scalability.

Responsibilities

• Own the end-to-end design and iteration of core edge cloud products, including container, bare-metal, and network capabilities. You’ll optimize key modules such as user management, billing, inventory, and resource scheduling, polish domain models and workflows, and build stable, secure, and scalable systems for internal and external business scenarios.
• Build a full-lifecycle resource operation platform that covers resource planning, provisioning, delivery, runtime management, and billing. You’ll analyze global resource data, output actionable insights, and continuously improve resource delivery efficiency.
• Develop a unified resource pool management platform that integrates self-hosted and third-party cloud resources. You’ll build resource data and billing systems, improve cost efficiency and resource competitiveness, and support flexible, unified management of global edge cloud resources.

Qualifications

Minimum Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, Networking or related fields, with 3+ years of R&D experience in cloud platform, cloud-native, or edge infrastructure domains.
• Solid foundational knowledge in computer science. Proficient in Go / C++ / Python, with hands-on experience building large-scale backend or infrastructure systems.
• Deep understanding of Kubernetes architecture and core components, with practical experience in large-scale cluster operation and optimization.
• Familiar with mainstream virtualization and container technologies, including KVM/QEMU, Virtio, container isolation, and image management.
• Hands-on experience with cloud-native observability tools such as Prometheus, Grafana, log pipelines, and distributed tracing systems.
• Strong architectural thinking, good root-cause analysis skills, and the ability to independently own complex module design, solve technical challenges, and collaborate cross-team.

Preferred Qualifications

• Experience working on edge computing, edge cloud, or distributed scheduling platforms.
• Familiar with high-performance network technologies including eBPF, Cilium, DPDK.
• Experience with multi-cloud/hybrid-cloud architecture, OpenStack, or cloud cost & billing system design.
• Domain experience in CDN, streaming media, or audio/video infrastructure systems.