Veritas solves what no one else can. With an industry-leading product portfolio, we offer proven, modern, and integrated technology that brings together availability , protection , and insights .
Our Veritas Enterprise Data Services Platform addresses current and future data issues end-to-end keeping mission-critical workloads highly available, protecting data everywhere, and providing insights to optimize costs and maintain regulatory readiness.
Veritas supports 500+ data sources, 150+ storage targets, 50+ clouds, and any deployment model imaginable. We serve 99% of the Fortune 100, 90% of the Fortune 500, and are the market leader in Software-defined Storage, Data Protection, and Archiving.
The Appliances and Software-defined Storage Business Unit drives the engineering, product management, business development and alliances, CTO, manufacturing, and supply chain deliver for Veritas, which includes defining and delivering product strategy and execution across Veritas’ NetBackup Appliances, InfoScale Software-defined Storage, and InfoStudio Data Intelligence products.
Veritas' vision is to enable organizations to thrive in this new world of digital business.
Did you know that the International Data Corporation (IDC) predicts that data will double every 2 years, reaching 44 zetabytes by 2020?
That's more bytes than gallons of water in the ocean and an exponentially growing problem for businesses. Veritas helps organizations harness the power of their data & turn it into actionable insights.
We believe information is everything! Data is an organization's digital currency; a critical business asset that is growing in value.
We are the only company that provides a data management platform to address the core challenge of accessing, managing, and analyzing all of their data, no matter where it is, in real time - allowing organizations to truly maximize the value of their data.
As a Sr Software Engineer, you will be Sr Staff you will be work with the Data Analytics / ML team for a full stack development.
You will contribute hands-on to full stack development & lead the team technically in execution. You will work with Data Scientists and Software engineers to design large data sets from multiple sources in order to build algorithms.
These algorithms will be tested, validated, and applied to large data sets.
The Data Analytics is responsible for building and maintaining ETL pipelines and algorithms to extract most business value out of the data.
As a full stack and ML lead you will be responsible to supervise creation of custom models and algorithms to drive business solutions.
Basic Qualifications :
At Veritas, we care about the causes close to your heart and enable you to volunteer, donate, and do good. We also value uniqueness and know that a more diverse and inclusive workforce makes a winning team, so come as you are! Interested?
Then apply and find out more about #TeamVTAS!