Data Infrastructure Engineer, Magnite

Hadoop

$170-180k

+ Annual performance-based bonus + Equity

MongoDB

AWS

Kubernetes

Python

Kafka

Redis

Bash

Linux

Postgres

Cassandra

Terraform

Ansible

Hadoop

Puppet

Spark

HBase

Prometheus

Grafana

Hive

DynamoDB

Mid and Senior level

New York

T/W/TH in-office

3 days a week in office

Sell-side omnichannel advertisement platform

Open for applications

Sell-side omnichannel advertisement platform

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Open for applications

$170-180k

+ Annual performance-based bonus + Equity

MongoDB

AWS

Kubernetes

Python

Kafka

Redis

Bash

Linux

Postgres

Cassandra

Terraform

Ansible

Hadoop

Puppet

Spark

HBase

Prometheus

Grafana

Hive

DynamoDB

Mid and Senior level

New York

T/W/TH in-office

3 days a week in office

501-1000 employees

B2BMarketingDigital MediaSaaSAdvertising

Company mission

Magnite's mission is to help the world’s leading advertisement agencies and brands reach millions of consumers efficiently and safely through its omnichannel sell-side advertisement platform.

Job

Company

Role

Who you are

The ideal candidate has extensive experience with distributed data platforms such as Kafka, Hadoop/MapR, ultra-fast NoSQL databases (Redis, DynamoDB, Aerospike), and Linux-based infrastructure
4+ years of experience administering distributed Big Data Platforms
Messaging Systems: Proven experience deploying and managing production grade Kafka infrastructure
NoSQL Databases: Practical experience administering at least on major NoSQL database
Scripting: Proficiency with shell scripting (Bash, Python, or similar)
Experience with relational databases such as PostgreSQL or MySWL
Linux Administration: Experience in Linux operating systems, including storage management, networking, security and performance troubleshooting
Experience with monitoring platforms such as Grafana, Prometheus, or similar

Desirable

Experience with Kubernetes and containerized workloads
Experience with Ceph or other distributed storage platforms
Experience with Infrastructure as Code tools such as Terraform or Spacelift
Experience with configuration management tools such as Puppet or Ansible
Experience with cloud platforms (AWS)

What the job involves

We are seeking a Data Platform Engineer (Hadoop) to join our Infrastructure Engineering team. This role is responsible for designing, building, maintaining, and modernizing our enterprise big data platforms that support large-scale data processing and analytics across the organization
This individual will work closely with Infrastructure, SRE, Database and Engineering teams to ensure our platforms are scalable, highly available, secure and performant
This is a hands-on engineering role requiring strong operational experience supporting mission-critical production environments while driving platform modernization initiatives
Hadoop Management: Provision, configure, monitor and maintain robust distributed Hadoop clusters (e.g. MapR, Cloudera, Hortonworks)
Linux Systems Engineering: Manage, optimize, and troubleshoot enterprise Linux servers (RedHat, CentOS, Rocky Linux) hosting the data platform
Performance Tuning: Troubleshooting, root cause analysis for production environments
High Availability: Maintain cluster backup, disaster recovery, production support and on-call rotations
Infrastructure as Code (Iac)
CI/CD Integration
Kafka Event Streaming: Deploy, configure, tune and scale multi-node Kafka clusters, topics, partitions and consumer groups
NoSQL Database Management: Administer, schema design, and performance-tune NoSQL databases (such as HBase, Aerospike, Cassandra, or MongoDB)
Ecosystem Integration: Support and integrate core Hadoop ecosystem tools including Hive, Spark, and HDFS

Our take

Due to the rise in mobile and smart devices in recent years, the way in which advertisement publishers must format their ads is changing. A key example of this is TV, advertisements that present immediate calls to action within a Connected TV user interface, but publishing ads in such a format is currently inaccessible to most publishers.

Magnite provides a sell-side omnichannel advertisement platform for publishers, focused on facilitating the selling of advertising on all formats including CTV, mobile, desktop, and audio. In addition to facilitating the buying and selling of omnichannel ads, the company also provides a real-time ad performance dashboard, data protection and compliance tools, and insights into buying and selling patterns.

Whilst other omnichannel advertisement platforms present significant competition to the company, Magnite stands out by providing an end-to-end marketplace for the buying, selling, management, and analysis of ads. Furthermore, by focussing its efforts on cutting-edge formats such as CTV, the company shows great potential to futureproof itself within the advertisement industry.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

5% employee growth in 12 months

Glassdoor (3.9)

Company

Company benefits

Equity and Employee Stock Purchase Plan
Pension and Retirement Savings Plan in Several Countries
Comprehensive Healthcare Benefits for You and Your Family
Generous Time Off, Holiday Breaks and Summer Fridays
Family-Focused Leave Benefits
Cell Phone Subsidy
Performance Management, and Investment in Diversity Initiatives
Bonusly Peer-to-Peer Recognition Program, Turning Recognition into Tangible Perks and Magnite Swag
Community Service Events
Wellness Coach—Meditate and Recharge with an Unlimited User Account for You and a Plus One

Company HQ

Westchester, Los Angeles, CA

Leadership

Michael Barrett

(CEO)

Experience as CEO of Rubicon Project from 2017 to 2020. President and Founder of Ichabod Farm Ventures LLC since 2012.

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