Senior Software Engineer - Data Platform, Metadata Services (Permanently Remote!)

Company Description

Twitter is what's happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

The Position

Metadata Services team owns RPC services that simplify data discovery, data management, and job scheduling, as well as API's to power GUI data portal that is the main entry point for discovering and managing data inside Twitter.

You will make Twitter-scale data privacy compliant, more discoverable and easy to manage for data scientists and engineers across the company. You will be expected to lead efforts spanning across teams while offering support for others. You will collaborate to discover the best solutions. You will support your colleagues by reviewing code and designs. You will diagnose and troubleshoot issues in our existing systems and envision and build their successors.

You get to define and influence the technical strategy for the team as well as the larger Data Platform. You will get to evaluate various open source/cloud technologies and build modern systems to meet ever growing use cases of Twitter teams. You will work on all levels of the backend stack (Scala, MySQL, Finagle, Big data technologies etc..).

Qualifications

What it takes:

  • 5+ years of Experience

  • Experience in building and operating distributed backend systems in Scala, Java or Python

  • Strong design and architecture skills.

  • Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation)

  • Experience with contributing to open source software and/or metadata systems is a plus.

  • B.S. or higher in Computer Science (or equivalent work experience)

Additional Information

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The applicable salary range for each U.S.-based role is based on where the employee works and is aligned to one of 4 tiers according to a cost of labor index in that geographic area. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary ranges for this role, are set forth below. These ranges may be modified in the future.

  • Tier A: USD $127,000 - USD $166,000
  • Tier B: USD $120,000 - USD $157,000

You can view which tier applies to where you plan to work here and is updated for any future jurisdiction which requires publication of the salary range on the job posting. If your location is not listed, please speak with your recruiter for additional information.

This job is also eligible for participation in Twitter’s Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.

Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave. Twitter’s benefits prioritize employee wellness and progressive support to our diverse workforce.

Team

Data Science and Analytics

Location

Remote US, San Jose, New York City, Seattle, San Francisco, Los Angeles, Toronto

 

Application

U.S. Equal Employment Opportunity information (Completion is voluntary)
Non U.S. Equal Employment Opportunity information (Completion is voluntary)
Privacy and data