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Senior Site Reliability Engineer, Network and Traffic - USDS

TikTok

Senior Site Reliability Engineer, Network and Traffic - USDS

TikTok

San Jose, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$187,040 - $359,720

Benefits & Perks

Competitive salary and equity package

Team events and activities

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Parental leave

Equity

Healthcare

Flexible Hours

Parental Leave

Required Skills

TypeScript

JavaScript

PostgreSQL

Responsibilities

The infrastructure team of US Tech Services Department at Tik Tok supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable.

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed infrastructures. Our SREs are tasked to ensure the infrastructure services are reliable, fault-tolerant, efficiently scalable and cost-effective.

  • Design, build, operate and optimize Tik Tok network, not limited to, backbone, public cloud and Edge/CDN.
  • Design, manage, operate and contribute to the development of our Layer7 Load Balancer, CDN origin and DNS.
  • Troubleshoot network and / or traffic issues in partnership with our Data Center Partners.
  • Work with cross-functional teams including but not limited to compute, storage, database, application teams to drive the innovation and evolution of Tik Tok network.
  • Work with external vendors and ISPs for device and carrier selection, perform testing and verification.
  • Participate in the global oncall rotation to support production traffic and networking issues.

Qualifications

Minimum Qualifications

  • Good understanding of network protocols including TCP/IP, RSVP, DHCP, BGP, OSPF/IS-IS and MPLS related technologies.
  • Good understanding of network monitoring protocols and tools, such as SNMP, Sflow/netflow, Telemetry.
  • Hands on experience with one or more of the following: Load Balancers, DNS, CDN origin, Datacenter networking.
  • Familiar with data center network architecture, such as CLOS.
  • Self-motivated, good communication, written skills and team player.
  • Bachelor's in Computer Science or a related field, or experience of three or more years in related field.

Preferred Qualifications

  • Significant experience configuring and optimizing Nginx.
  • In-depth knowledge of network protocols and implementation in hyper-scale data center networks.
  • In-depth knowledge of public cloud architecture, such as AWS, GCP, Azure, Ali Cloud, OCI, etc.
  • Good understanding of IPv6 and IPv4-IPv6 co-existence technologies.
  • Programming/scripting in Python, Go or other languages.

Work Authorization

As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits.

Compensation

The base salary range for this position in the selected city is $187,040 - $359,720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  3. Exercising sound judgment.

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Senior/L5

Senior/L5 · Access Assurance Lead

1 reports

$331,500

total / year

Base

$255,000

Stock

-

Bonus

-

$331,500

$331,500

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures