Job Description

LeapYear's secure machine learning platform is deployed by some of the largest enterprises in the world across finance, healthcare, and technology.
Our technology ensures differential privacy, a widely recognized standard of data privacy that enables all data - including sensitive information - to be utilized for analytics, while providing mathematically proven privacy protection.
The LeapYear system is composed of a core set of components that allow private machine learning on data sets that can scale to petabytes. The system includes private algorithms for relational operations, statistical methods and machine learning. A data scientist accesses private data using a Python API. Administration is provided  via a web-based GUI or an API.
LeapYear's Infrastructure team builds the tools that build our software and scales our test infrastructure such that all developers can contribute to automated test suites. For deployments of LeapYear, Infrastructure engineers write sophisticated, parameterized installers for enterprise environments, and automate deployment into cloud environments. 
We are looking for versatile problem solvers that are interested in developer productivity, automation, and cloud infrastructure. 

Responsibilities

Develop greenfield systems and scale existing build system, deployment methods, and cloud infrastructure
Own the full software development lifecycle - problem definition, design, development, testing, demoing, and supporting production use of the features you own.
Conduct and automate deployment testing, concurrency testing, scale testing, and testing of differentially private machine learning algorithms
Partner with product management to define problems and identify iterative solutions
Balance immediate business objectives against long-term architectural vision
Contribute to an engineering-wide culture of code quality and shared responsibility for testing

Requirements

2+ years of general software programming experience, including regular use of major scripting languages (Python, Shell, Ruby)
Advanced knowledge of at least one infrastructure automation tool such as Terraform, Ansible, and Packer
Good understanding of Linux systems administration, command line tools, and various distributions of Linux (Centos, Red Hat).
Experience with Continuous Integration/Continuous Deployment tools (CircleCI preferred)
Experience with services provided by AWS, Azure, or GCP (AWS preferred)

Preferred

System admin experience, preferable enterprise experience
Experience with administering and running Hadoop and Spark clusters
Experience with Kubernetes and Docker
Experience with Maven, Bazel, Gradle, or other modern build systems
Acquainted with and interested in functional programming (Haskell, OCaml, Clojure, Erlang, Scala)
Experience testing the results of statistical analysis, preferably machine learning.

A Few of the Perks

Culture of teaching and learning
Competitive compensation package of salary and equity
Catered lunch every day
Company outings
Build your ideal work station
Generous health insurance plan
Relocation support and visa sponsorship