Backend Engineer

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(Time zones: EST to GMT+1)


We're looking for backend engineers to accelerate our product development.


We have to solve various difficult engineering/UX problems:


Scale our computation engine: Our calculation engine performs the calculations behind Causal models — the challenge is to show the user instant results when possible and run complex operations (Monte-Carlo simulation, API calls).


Our spreadsheet-esque frontend interface: This interface comes with a slew of UI/UX challenges to support complex functionality without being complicated, and needs to be incredibly performant. Causal needs a low floor and a high ceiling — it should be simple enough for anyone to get started with, but powerful enough for really complex use-cases.


Our dashboarding and data visualisation capabilities: We have to allow users to create beautiful charts and tables to communicate with numbers.


I would love to chat if you are up for the challenge!


Lukas (CTO)

You will

  • Understand the product and the customer's needs in detail
  • Translate functional requirements into maintainable, well-tested, and performant code
  • Help set up processes to guarantee the long-term success of Causal's engineering team
  • Play a crucial role in setting the direction of Causal's product, as well as the company and culture

You'll ideally

  • Have 2+ years software engineering experience
  • Have experience with (parts of) our backend tech stack: Node/Typescript/Golang
  • DevOps experience (Kubernetes, Terraform, GCP) is a plus
  • Be able to write clean + maintainable code with attention to performance, but also be able to ship quickly + scrappily when the occasion calls for it
  • Be comfortable shipping features end-to-end, from defining the product spec to deploying to production
  • Have a Bachelor’s degree in Computer Science or another quantitative field

You'll Get

  • Competitive salary and equity package
  • Unlimited PTO
  • Equipment stipend to support your home office needs
  • Generous monthly remote wellness stipend, which can be used flexibly for daily lunch, gym membership, co-working, etc.
  • Generous annual learning and development stipend
  • Company retreats twice a year
  • Remote-first (EST to GMT+1) with physical spaces in London and NYC



About Causal


We're building a new way to think and work with numbers. Causal is a tool for performing calculations, visualising data, and communicating with numbers. We take the good parts of spreadsheets and combine them with the good parts of programming, to make number-crunching fast, collaborative, and accessible to everyone. We are well-funded by some great VCs (Accel, Coatue, Passion Capital) and angel investors (Naval Ravikant, Scott Belsky, and many more) across the US and Europe.


We are a globally distributed team working remotely with members of our team on both sides of the Atlantic. We do have a presence in London and NYC.


#LI-Remote

More Information on Causal
Causal operates in the Analytics industry. The company is located in New York, NY. Causal was founded in 2019. It has 21 total employees. It offers perks and benefits such as Friends outside of work, Eat lunch together, Open door policy, OKR operational model, Team based strategic planning and Group brainstorming sessions. To see all 1 open jobs at Causal, click here.
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Candidate Location Eligibility:
New York City, NY

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