Cloud Developer and Architect
Architecture
Cloud Developer and Architect
Berkeley
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote
Tech stack
AWS
Python
Linux
English
Job description
We’re looking for someone that’s (really really) good at infrastructure, more specifically at large scale distributed python-based workloads and multi-machine parallelization. Someone that’s very familiar working with AWS and ideally knows or can quickly learn his way around other IaaS providers. Someone that’s an expert when it comes to python and linux, and someone that’s solved difficult problems around the area of “system programming.”
This role will focus on MindsDB’s cloud service, a product that aims to provide infrastructure on demand and parallel workload for MindsDB, an Open Source automl framework we are developing. You will be responsible for taking this product from its current MVP stage to where it can support hundreds of customers with thousands of machines.
We are a fully remote team distributed throughout the world, you choose your schedule and location as long as you can attend a few fixed meetings and get stuff done and can work on roughly US/EU centric times in order to be available on slack.
In addition to the core experience mentioned above, it would be rather nice if you had experience working with ray, pytorch and a solid understanding of machine learning, from a high level applied perspective.
Most of all though, we are looking for someone that is proactive in their work, able to both find issues and fix them.
In this role you’ll get to:
- Design and implement a machine-learning, distributed computing focused, multi-user, multi-tenant cloud solution.
- Take ownership of MindsDB’s infrastructure code, procedures and guideline.
- Be an active part of a team that works across stack and gain understanding of MindsDB from the frontend all the way to the inner workings of our ML framework.
Role Requirements:
- You played a key role as an engineer in large infrastructure projects.
- You know the ins and out of AWS, specifically EC2.
- You are good at python (is anyone bad at python?)
- You are very comfortable working with linux (e.g. given a week you could have a production-ready server using LFS.)
- You understand core concepts behind distribution and parallelism at a theoretical level and have worked on applied parallel and distributed computing problems.
- Excellent written and verbal communication in English.
Bonus Points:
- You are familiar with current IaaS GPU offerings.
- You’ve worked with or understand ray and pytorch (with a focus on getting CUDA to work efficiently on varying hardware.)
- You have a good understanding of everything security and can balance having a relatively safe system without putting any overdue burden on the team with ritualistic/theatrical security.
More about our benefits
Whether you work in an office, remotely, or a distributed team, MindsDB is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options and lots more.
MindsDB is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
More about us
MindsDB helps anyone use the power of machine learning to ask predictive questions of their data and receive accurate answers from it. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO), is backed with over $5.2M in seed funding from the University of California, Berkeley SkyDeck fund, OpenOcean, and the co-founders of MySQL and MariaDB. MindsDB is also a graduate of Y Combinators’ recent Winter 2020 batch.
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