C Developer

Ramat Gan, Israel

Full time

Varada is rapidly growing and looking for an experienced and talented Infrastructure developer to join our small and unique team and help us to take our product to new heights.

We develop one of the most innovative development Big Data systems in the world using the latest technologies.

As a team member you will influence the culture and standards of our rapidly growing R&D organization, involved in the design, implementation and stabilization of Varada core features.

Responsibilities:

Build and improve our infrastructure
Contributing in all development phases (from requirements to release)
Designing and implementing best practices and new features
Supporting internal and external customers
Dive into Presto open source

Job Requirements:

5+ years experience in C development
Linux as a working environment
Ability to deep dive into large scale existing projects
Good understanding of best practices in scalable server side architecture
Autodidact and self-motivated
True team player
Experience working in a startup company – advantage
Experience with Big Data platforms/DBs – advantage
Experience working in open source environment – advantage
Familiarity with AWS/GCP – advantage

We look forward to hearing from you!
Email us at job@varada.io

AboutVarada

Vara-da comes from an old Hindu word that is used to describe a boon giver, relief for pain. When it comes to data, there are still many types of pain. In some organizations the focus is on data democratization with challenges around exposing data to as many consumers as possible. For other organizations the focus is on enabling data consumers to ask any questions without compromising on time-to-insight and performance.
Varada offers a big data infrastructure solution for fast analytics on thousands of dimensions. Based on Varada’s Inline Indexing™ technology, we enable large and complex datasets to optimally serve analytics users and apps by making filtering, joining and aggregating data extremely fast on every dimension of any data source.