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AI for Zero Waste | change the world in 3 seconds

DevOps Engineer (Ninjaneer)

$60k – $70k • 0.2% – 0.4%
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Role Description:
We’re looking for an an engineer with 5+ years of experience working on, developing and maintaining fleets of IoT devices. You will be working on the direct development of our flagship products to ensure its smooth functioning out on the field and constantly coming up with creative strategies and solutions

Your responsibilities will include:
1) Collaborating with the Machine learning and design team to create scalable implementations.
2) Coming up with creative frameworks and implementing strategies to ensure that each device on the field is functioning as intended at all times - 24x7x365.
3) Maintaining current and creating more novel frameworks and pipelines to push updates on all/select devices as and when needed.
4) Thoroughly testing and implementing updates for on-field devices
5) Architecting a delightful user experience - you will work closely with our design team to realize their designs on the field by making highly optimized and scalable implementations.
6) Be a key driver in the innovations that Intuitive comes up with!

We are excited to bring you onboard because:
1) You have 5+ years of experience working with microcontrollers and embedded systems used in an IoT setting.
2) You experience with ML on the edge for edge inference applications
2) You have deep knowledge in python, c, bash scripting and javascript.
3) You are an AWS ninja.
4) You are a seasoned Linux (Ubuntu) user.
5) You are very comfortable with deploying and managing continuous integration/deployment (Jenkins, DroneCI, ArgoCD, etc.). 
6) You are experienced with containers and container orchestration platforms (Docker/Kubernetes). 
7) You have experience with git and web development best practices.
8) You are a diligent, thorough and responsible individual who enjoys taking responsibility and committing to your goals.
9) You are open minded and flexible and excited to learn new skills as you go in creating innovative approaches to building a world class fleet of devices.
10) You are based in Vancouver or willing to relocate to this beautiful city (we will help with moving and visa)!

You are excited to join us because:
1) We are a fast paced and growing fast - you will be joining on the ground floor with ambitions to become a global name.
2) We are in the foundational phase giving you a lot of leadership opportunities in setting pipelines, building frameworks and leading teams.
3) Competitive compensation + equity.
4) Intuitive helps thousands of users around North America recycle correctly and saves hundreds of lbs of waste from going to landfill - we want to scale these numbers exponentially.
5) We really care about building the best - from start to finish - and you want to play a pivotal part in this.

About us:
The Intuitive journey began when we learnt that only 2% of the world’s waste gets recycled or composted - only 2%! This was two and half years ago, since then we have decided to dedicate ourselves to increasing this statistic drastically by leveraging computer vision and machine learning to nudge users into recycling their waste correctly - and at the source - where the problems begin. The recycling industry is a multi-trillion dollar industry and the amount of waste created is only going to increase with the massive population growths around the world.
Our mission at Intuitive is to empower a zero waste world by reaching to as many people as possible and nudging them to recycle it right! Within our short span of being operational we have been recognized by the likes of forbes and macleans, supporting us as we nudge the world to empower a zero waste world!
We have been through some of the world’s best incubators including Creative Destruction Lab - Toronto and NextAI - Toronto and are backed by awesome investor with successful multi-million dollar exits themselves.

Additional Information:
Intuitive provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

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