Platform Backend Engineer – Scale, Tools & Infra

ByteDance

San Jose (CA)

On-site

USD 162,000 - 388,000

Full time

7 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) with company match
Paid parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
Paid holidays
Paid sick days
Paid personal time

Job summary

ByteDance is seeking a self-motivated software engineer to build platforms and services for interacting with large-scale production systems. You will design, develop, test, deploy, and maintain software, while delivering tools to boost engineering productivity and performance.

In this role you will bring new ideas and technologies into our platform, driving innovation and iteration across domestic and overseas data centers.

Qualifications

  • BS degree in Computer Science or equivalent practical experience.
  • Experience with two or more of: web apps, Unix/Linux, distributed systems, networking, large software systems.
  • Experience with IT operations/management concepts (DICM/ITOM/ITSM) preferred.
  • Experience with GPU, big data (Hadoop/Kafka/Apache) or streaming/computing is a plus.

Responsibilities

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

Skills

Golang
Python
Web stack
Unix/Linux
Distributed systems
Networking

Education

BS in Computer Science or equivalent

Job description

ByteDance is seeking a self-motivated software engineer to build platforms and services for interacting with large-scale production systems. You will design, develop, test, deploy, and maintain software, while delivering tools to boost engineering productivity and performance.

In this role you will bring new ideas and technologies into our platform, driving innovation and iteration across domestic and overseas data centers.

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