Responsibilities
Provide customers with a solution design for the LeapYear platform that can meet their business goals.
Own reference architectures and network topology diagrams across customers
Own the process for deploying and upgrading the LeapYear platform in customer environments
Scope, conduct, and document experimental deployments for our evolving machine learning platform running on Spark
Help our customers resolve critical issues related to software evaluation and go-live production deployment
Collaborate with the Engineering team building the LeapYear platform via structured feedback and special initiative projects.
Contribute to continuous improvement, scalability, and automation of our deployment practices
Build our internal knowledge base, as well as tools and infrastructure for LeapYear's team of customer-facing data scientists and solutions architects
Requirements
Customer-facing experience deploying and integrating enterprise software
Experience with deploying customer solutions in containerized and non containerized environments
Broad knowledge of enterprise architecture, networking, databases. Interest in data science and machine learning
Hands-on experience deploying and maintaining systems in AWS/GCP/Azure (AWS preferred)
Experience working with Hadoop and/or Spark
Strong Linux/Unix administration skills
Experience analyzing and integrating with customer's existing systems (e.g. authentication, monitoring, logging)
Prior experience troubleshooting production issues, staying calm under pressure
Effective written and verbal communication skills. Comfortable interfacing with customer personnel from system admins to technical IT leaders
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
Berkeley, CA
LeapYear is the world’s first platform for differentially private reporting, analytics and machine learning. We enable enterprises across highly regulated industries to safely create value from their most sensitive datasets.
The platform embeds mathematically proven privacy into every computation, statistic and model enabling analysts and data scientists to generate insights from data without exposing the data itself. Our customers safely leverage and share data across institutional silos, geographic borders and with third parties, all while preserving privacy and confidentiality.
LeapYear is deployed in production, at multi-petabyte scale, across global 1000 financial institutions, healthcare companies, and insurers.
The rise of large-scale data collection and machine learning has been accompanied by pressing questions related to privacy, security, and data access.
LeapYear builds technology to address these issues in a scalable, rigorous, and future-proof way.
With LeapYear, some of the largest enterprises in the world are able to break down data silos, form data partnerships, and accelerate the adoption of machine learning, all with mathematically proven privacy protection.