We use cookies and other tracking technologies to improve your browsing experience on our site, analyze site traffic,
and understand where our audience is coming from. To find out more, please read our privacy policy.
By choosing 'I Accept', you consent to our use of cookies and other tracking technologies.
We use cookies and other tracking technologies to improve your browsing experience on our site, analyze site traffic,
and understand where our audience is coming from. To find out more, please read our privacy policy.
By choosing 'I Accept', you consent to our use of cookies and other tracking technologies. Less
We use cookies and other tracking technologies... More
Login or register to apply for this job!
Login or register to start contributing with an article!
Login or register to see more jobs from this company!
Login or register to boost this post!
Show some love to the author of this blog by giving their post some rocket fuel 🚀.
Login or register to search for your ideal job!
Login or register to start working on this issue!
Engineers who find a new job through Functional Works average a 15% increase in salary 🚀
Make a meaningful impact on the blockchain revolution
Own your projects from conception to launch, set your deadlines and manage yourself
Platinum medical & vision insurance
Cryogenic freezing
Excellent benefits
To sum it up...
Build the infrastructure behind a Data Science driven Hedgefund
Role overview
Responsibilities
manage all AWS infrastructure, turn infrastructure into code
setup and maintain geth/parity nodes
improve private key management for our smart contract(s)
improve secrets management for our systems
build a new observability (logs/metrics/alerting) platform
build a unified set of internal tools for all engineering
Desired Skills
3 years experience working with cloud providers (AWS/Google Cloud) or internal infrastructure
managed/maintained a big system in "production" that the business critically depends on
experience with security (security breaches, encryption, password/secrets management, networking)
experience building tools (deployment scripts, infrastructure as code, docker/kubernetes/terraform)
experience with observability (log aggregation, real time metrics, alerting, oncall rotations)
experience with databases, data pipelines
Desired Personal Qualities
Proactive.
Future optimistic.
Positive.
Correct.
Passionate.
Insane. Contrarian.
Honest. Trustworthy.
Location
San Francisco, in northern California, is well known for being a tech haven. However, as one of the most visited cities in the world, it’s also a center of cultural and there’s a strong counter culture sensibility that’s always been an essential part of the city. San Francisco has one of the most prominent LGBT communities in the world, and is one of the most important in the history of LGBT rights and activism.
The economy of San Francisco is influenced by household tech companies such as Salesforce.com, Reddit, Dropbox, Airbnb, Yelp, Uber, Lyft, etc. The third quarter of 2017, saw $4.177 billion in funding for companies in San Francisco and the North Bay Area. An hour south of the city is “Silicon Valley” which homes Apple, Facebook, Google and Palantir.
Known for its year-round fog, iconic Golden Gate Bridge, cable cars and colorful Victorian houses. It’s also the home of the famous Alcatraz Island, site of the notorious former prisoner Al Capone.
Did you know...
The average salary for a Software Engineer in San Francisco is $134,000
Numerai manages an institutional grade long/short global equity strategy for the investors in our hedge fund. We transform and regularize financial data into machine learning problems for our global network of data scientists. Our data scientists don't need capital, data, or finance domain knowledge to compete on Numerai. Numerai investors provide the capital, and Numerai embeds our finance domain knowledge into the design of our datasets. Because Numerai data scientists do not know what our data represents, human biases and overfitting are overcome. Numerai does not know what algorithms our data scientists are using because data scientists only upload predictions—their code and intellectual property remains theirs. This trustless relationship between Numerai and our data scientists is facilitated by encryption, and anonymity. Data scientists do not need to tell us who they are, and receive payments in Ethereum.