Platform Backend Engineer — Scale, Tools & Innovation

ByteDance

New York (NY)

On-site

USD 162,000 - 388,000

Full time

4 days ago
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Job summary

ByteDance is seeking a self-motivated software engineer for the DCS platform team in New York. You will build platforms and services for large-scale production systems, create productivity tools, and design, develop, test, deploy, and improve software.

Bring new ideas and technologies into the platform and iterate rapidly. The role emphasizes developing on a web-enabled stack, working in Unix/Linux environments, and collaborating across teams to support domestic and overseas data centers.

Qualifications

  • BS degree in Computer Science, similar technical field of study or equivalent practical experience.
  • Experience with two or more: web application development, Unix/Linux environments, distributed and parallel systems, networking, and large software systems.
  • Experience with ITSM/ITOM/ITSM (DICM) or related management domains.
  • Experience with GPU, big data (Hadoop/Kafka/Apache) or streaming/computing is a strong indicator.

Responsibilities

  • Build platforms, systems and services for internal and external teams to interact with the large scale production systems.
  • Build tools to improve engineering productivity.
  • Design, develop, test, deploy, maintain and improve software.
  • Bring new ideas and technologies into our platform, innovate and iterate.

Skills

Golang
Python
Web stack
Unix/Linux
Distributed systems
Hadoop
Kafka
Apache

Education

BS degree in Computer Science

Tools

Hadoop
Kafka
Apache

Job description

ByteDance is seeking a self-motivated software engineer for the DCS platform team in New York. You will build platforms and services for large-scale production systems, create productivity tools, and design, develop, test, deploy, and improve software.

Bring new ideas and technologies into the platform and iterate rapidly. The role emphasizes developing on a web-enabled stack, working in Unix/Linux environments, and collaborating across teams to support domestic and overseas data centers.

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