Backend Engineer, Search

Remote Enablement
 
The Backend Engineer Search position is 100% remote.
 
A brief overview:

GitLab is building an open-source, single application for the entire software development lifecycle—from project planning and source code management to CI/CD, monitoring, and security.

At GitLab, we live and breathe open source principles. This means our entire handbook is online, and with a few clicks, you can find the details of future releases, the maturity of our different product categories, the details of our past releases, and an overview of the product vision you’d contribute to when working here. 

What it’s like to work here at GitLab:

The culture here at GitLab is something we’re incredibly proud of. Because GitLabbers are currently located in over 56 different countries, you’ll spend your time collaborating with kind, talented, and motivated colleagues from across the globe. Some of the benefits you’ll be entitled to vary by the region or country you’re in. However, all GitLabbers are fully remote and receive a "no ask, must tell" paid-time-off policy, where we don’t count the number of days you take off annually. You can work incredibly flexible hours, enabled by our synchronous approach to communication.

We’ll also help you set up your home office environment, cover your home internet subscription, pay for your membership to a co-working space, and contribute to the travel costs associated with meeting other GitLab employees across the world. Also, every year or so, we’ll invite you to our Contribute event

 At GitLab, developers are independent and self-organized individual contributors who work together as a tight team in a remote and agile way.

Most backend developers work on all aspects of GitLab, building features, fixing bugs, and generally improving the application. The Search team is responsible for delivering a first class global search experience throughout GitLab products. They are experienced Ruby/GoLang developers who focus on implementing core Elasticsearch functions while advising other development teams on best practices (e.g. indexing)

The Search team is focused on bringing world class search functionality to GitLab.com and self-managed instances with ElasticSearch. The Search team  are experienced Ruby/GoLang developers who focus on implementing core Elasticsearch functions while advising other development teams on best practices (e.g. indexing).

 You can view the Search team member page 

You can view the engineering workflow for the here

What You can Expect to Work on:

  • Building a first class global search implementation
  • Improve and implement our indexing strategies
  • Own architecture, performance and scaling of the Elasticsearch solution
  • Build responsive and scalable services and APIs
  • Self-managed installation mechanisms

You Should Apply if You are:

  • Proficient in Ruby on Rails (this is a strict requirement).
  • Elasticsearch experience - modeling, processing, nodes, index management and high availability.
  • Desirable: Golang
  • Desirable: PostgreSQL experience
  • Desirable: DevOps experience, working with Linux, GCP/AWS, Chef/Ansible, or similar products
  • Experience with other technologies a plus.
  • You can reason about software, algorithms, and performance from a high level.
  • You are passionate about open source.
  • Strong written communication skills.
  • Self-motivated and have strong organizational skills.
  • You share our values, and work in accordance with those values.

Recruitment Process

  • Screening call with one of our global recruiters
  • Technical interview with one of our backend engineers 
  • 2nd role specific technical interview with an engineer from the Search team
  • Behavioral interviewing with the Engineering Manager for the Search team
  • Director of Engineering Interview 
  • Reference Check 
  • Offer

The compensation calculator for this role can be found here


 


Gitlab

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From project planning and source code management to CI/CD and monitoring, GitLab is a single application for the entire DevOps lifecycle.


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