Platform team Engineer
Clarity AI, Spain

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
Qualification
High School or equivalent
Total Vacancies
1 Job
Posted on
Sep 4, 2023
Last Date
Oct 4, 2023
Location(s)

Job Description

Clarity AI’s mission is to bring social impact to the market. Our disruptive tech tools allow investors, companies, and consumers to invest sustainably, shop sustainably, and report or benchmark for sustainability with easy-to-use, AI-powered technology.

We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as SoftBank, BlackRock, and Deutsche Börse who believe in us and share our goals. We have plans to continue growing our teams in Spain, Portugal, the UK, and the US this year so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of consumers and investors throughout the world.

What are we looking for?

In short, we are looking for a Platform Engineer; a passionate person with experience working in a Platform team following a DevOps philosophy.

If building a reliable platform that supports and boosts the development of ClarityAI products in a sustainable way excites you or if you have a constant need to learn better ways of doing your work, you’ll probably want to keep reading this.

We will love to see that these topics look familiar to you:

  • IAC concepts
  • Configuration Management concepts
  • Monitoring amp; Observability principles.
  • Knowledge or experience using containers and containers schedulers (K8s preferred)
  • Some knowledge or experience of AWS cloud platform or other cloud providers
  • Working proficiency and communication skills in verbal and written English

Requirements

What we need from you?

  • Help us to improve our platform (Improving dev experience, reliability, scalability) using a lean approach.
  • Help us to create a data platform and infrastructure optimized for developments using Machine Learning and massive data processing.
  • Help us to improve the development experience.
  • Help us improve our delivery cadence for ML/AI related products.
  • Help us to spread the DevOps culture in the company.
  • Be aligned with mission and principles of the team (accelerate product teams, platform as a product, self service, team collaboration, small safe steps, software/technology is a mean to and end, etc).

Our ideal candidate:

  • Has from 4 to 8 years of experience
  • Has some previous experience with cloud-based services like AWS, Azure or Google Cloud
  • Has worked with Linux systems in production
  • Has some development experience using Python, Go or Java
  • Has worked with relational or non-relational databases
  • Is eager to learn in a collaborative team environment
  • Has interest in the DevOps engineering culture and practices
  • Is able to identify and communicate problems to the team
  • Pairs effectively with other team member
  • Has experience in one technology used by ClarityAI (Terraform, K8s, GitLab)
  • Is able to ask for help when needed
  • Lean/agile mindset

Benefits

Benefits

We care about our employees and think they deserve the best.

  • ESOP/ Phantom stock: We want our employees to feel part of Clarity. That’s why we allow them to participate in our success with ESOP or phantom stock options.
  • Training budget: Continued learning is important for us, so we provide everyone with a yearly training budget.
  • Additional benefits are available depending on your location (e.g. gym access, etc.)

Clarity has received several awards:

  • Fast Company - Most Innovative Companies 2023
  • WEF, Young Global Leader - Rebeca Minguela
  • Forrester New Wave Leader 2022
  • European Commission | EU Seal of Excellence 2020
  • World Economic Forum - Technology Pioneer 2020

Job Specification

Job Rewards and Benefits

Clarity AI

Information Technology and Services - San Jose, United States
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