Software Engineer @ LeapYear

Software Engineer

Infrastructure

Posted on 2/1/2022

INACTIVE

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Data Structures & Algorithms

Docker

Erlang

Google Cloud Platform

Gradle

Hadoop

Haskell

Linux/Unix

Management

Maven

Microsoft Azure

OCaml

Ruby

Scala

Terraform

Kubernetes

Python

Ansible

Requirements

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

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 the team owns
Conduct and automate deployment testing, concurrency testing, scale testing, and testing of differentially private machine learning algorithms
Contribute to an engineering-wide culture of code quality and shared responsibility for testing

Desired Qualifications

Experience working in a startup environment
Experience working in a data-driven industry
Experience with networking
Experience with administering and running Hadoop and Spark clusters
Experience with Maven, Bazel, Gradle, or other modern build systems

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 the team owns.
Conduct and automate deployment testing, concurrency testing, scale testing, and testing of differentially private machine learning algorithms
Contribute to an engineering-wide culture of code quality and shared responsibility for testing

Requirements

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

Nice to have

Experience working in a startup environment
Experience working in a data-driven industry
Experience with networking
Experience with administering and running Hadoop and Spark clusters
Experience with Maven, Bazel, Gradle, or other modern build systems

A Few of the Perks

Culture of teaching and learning
Competitive compensation package of salary and equity
Matching 401k plan
Generous health insurance plan
Disability, accident, and life insurance
Relocation support
Company outings
Build your ideal work station

51-200 employees

Website

Software company that enables analysis and sharing of sensitive data

Company Overview

Software company that enables analysis and sharing of sensitive data

Benefits

Health, dental, and vision benefits for you and your family
Unlimited sick leave
Fees for work visas and green cards 100% covered
8 weeks fully paid parental leave
Remote friendly
Regular outings & quarterly team gathering
Stipends for relocation and workstation equipment
401K plan with 4% match
Disability, accident, and life insurance available
Learning resources

Company Core Values

Putting the client first
Having high standards
Insisting on integrity
Teaching, learning, and growing
Being kind