About The Position

At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Team The Digital Merchandising Product team is enabling companies to optimize their business metrics by personalizing and curating search and discovery experiences mapped to the shopper journey. We work across Algolia stack in building solutions leveraging Search Engine, Rules, AI Studio, Analytics etc. We have ambitious goals ahead of us, including building several new products on top of Algolia existing APIs and capabilities. The Opportunity As a member of the Digital Merchandising team: You will have a direct impact on Algolia’s user adoption and revenue stream You will play a pivotal role in architecting and implementing new products, that will play a central role for the future of Algolia You will be in the driver seat to innovate in the multi-billion dollar market eCommerce industry Work closely with the rest of R&D teams to deliver the next generation products Your role will consist of:

Requirements

  • Experience building and working with APIs at scale preferably in Golang and backend experience in Ruby on Rails
  • Rigor in high code quality, automated testing, and other engineering best practices
  • Located in US Eastern or Central time zones
  • Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure).

Nice To Haves

  • Experience in C++
  • Experience working with large datasets and high traffic
  • Experience in Site Reliability Engineering
  • Experience in Kubernetes based deployments

Responsibilities

  • Be a key full-stack contributor to the design, development, and operation of the Merchandising services at scale
  • Be responsible for the quality, reliability and availability of the system
  • Work with other teams to build features and resolve high impact issues
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