Data Engineering Internship, Vectra AI

Salary not provided

Incentive plan and participation in the employee equity plan (stock options) available

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Java

Kafka

Elasticsearch

Linux

C++

Hadoop

MySQL

Spark

CouchDB

Parquet

Git

San Francisco Bay Area

Office located in San Jose, CA

AI cyber threat detection

Job no longer available

AI cyber threat detection

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber Security

Job no longer available

Salary not provided

Incentive plan and participation in the employee equity plan (stock options) available

MongoDB

AWS

Docker

Kubernetes

GCP

Python

Java

Kafka

Elasticsearch

Linux

C++

Hadoop

MySQL

Spark

CouchDB

Parquet

Git

San Francisco Bay Area

Office located in San Jose, CA

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber Security

Company mission

To make the world a safer and fairer place by using AI to see and stop threats before the become breaches.

Job

Company

Role

Who you are

Working towards a BS or MS in Computer Science or related field
Strong programming skills with experience in Python, C++, or Java
Linux proficiency and shell scripting

Desirable

Experience with Docker, Kubernetes or other container orchestration tool
Experience working with AWS or GCP offerings
Experience with a source control system, preferably Git
Familiarity with Hadoop, Map/Reduce, Spark, and distributed computing
Understanding of data pipeline architectures (e.g. Lambda, Kappa)
Database hands-on experience (MySQL, MongoDB, couchdb, ElasticSearch, etc.)
Knowledge of real-time data pipelines (e.g. Kafka and Spark Streaming)
Experience with continuous integration and deployment workflows

What the job involves

Detecting attackers in real-time requires robust data pipelines that enable machine learning and statistical techniques
As an intern for the Data Engineering team, you will help transform rich network traffic data, cloud log data into meaningful features and develop data systems for collecting algorithm telemetry
You will be involved with building pipelines and tools for both on-prem and cloud deployments while collaborating with Data Scientists and Software Engineers in the process
Work with the Data Engineers on the team to improve and develop new features enabling Data Scientists to access data in ways previously unavailable
Possible projects range from:
Building out a data converter to parquet format and catalog using AWS Glue
Performing ETL on existing data to restructure time series data in a more accessible format
Automate the piping of network captures into a process to convert into metadata and load into Spark

Our take

The increasing advancement of technology has created a need to keep our data safe and secure. And with cyber-attacks on the rise, companies are looking for ways to deter this problem. In response, Vectra AI has developed an AI-driven cyber security platform that detects attacker behaviours regardless of location.

The company continuously creates unique algorithm models for a host of current and new threat scenarios. What sets it apart from its competitors is the fact that its AI platform excels in detecting, clustering, prioritizing, and anticipating attacks. Alerts uncover attacker methods in action and are correlated across customer environments to expose real attacks.

Vectra AI has seen considerable global growth through its continued focus on platform innovation. Its expansion into new markets and locations has firmly established it as one of the top and award-winning cybersecurity options on the market.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

6% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 10 rounds)

Apr 2021

$130m

SERIES F

Jun 2019

$100m

SERIES E

Total funding: $352.3m

Company benefits

Unlimited PTO
Healthcare Packages
Global Wellness Days
Employee Assistance Programs
Parental Leave
Fertility Assistance

Company HQ

West Valley, San Jose, CA

Leadership

Hitesh Sheth

(CEO)

Former COO of Aruba Networks.

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