About Fubo:
With a mission to build the world’s leading global live TV streaming platform with the greatest breadth of premium content and interactivity, FuboTV Inc. (NYSE: FUBO) aims to transcend the industry’s current TV model. Fubo operates in the U.S., Canada, France and Spain. The company also has a growing technology center in Bangalore, India that is developing strategic product and technology features for the global Fubo platform.
We’re rapidly growing in employees, subscribers, and content offerings! Which means we need your help taking us to the next level.
Fubo is committed to excellence through diversity, which involves attracting talented people from diverse backgrounds and traditions. We encourage everyone to apply.
About the team:
The Search and Personalization team builds backend systems that help our users find and discover content and provide a personalized experience driven by data and machine learning.
About the Role:
*This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).*
We are looking for a Senior Backend Software Engineer to design, code and enhance our backend services that provide Search, Popular, Trending, Similar, Continue Watching, Segmentation functionality and help us build new capabilities such as push notifications, upselling, targeting, etc.
You will work closely with Data Engineering, Platform Services and Data Science to continuously improve and build these capabilities. Your work will be critical in providing a best in class user experience and improve engagement for our subscribers.
Requirements:
- 8+ years of software development experience with Golang, Java, Scala or C++
- Experience building Large-Scale Distributed Systems
- Experience in both SOA and Microservices architectures
- Expertise in concurrent programming and data structures
- Be able to write clean, simple, maintainable code
- Strong verbal and written communication
- BS and/or MS in Computer Science or related field
Nice to have:
- Big data experience
- Experience with Search Technology like Lucene, Elastic search, Bleve
- Experience with ML / AI techniques
- Experience with A/B testing
Our tech stack:
- Go/Golang, Scala
- Docker and Kubernetes
- Kafka, Memcache, Bigtagble, Bigquery and Postgres
- Apache beam
Perks & Benefits:
- At Fubo, you will have the opportunity to personally influence what live media looks like after it goes through its next big transformation
- Professional development courses and learning opportunities
- Fubo provides a highly competitive compensation based on experience and market standards
- Robust benefit package including Health/Dental/Vision coverage sponsored up to 100% for employees, 401k, Life Insurance, and commuter benefits
- Free Premium Fubo Account
- Unlimited PTO days and regular company-wide activities.
- Fubo's main Headquarters are located in Midtown Manhattan, with offices in Denver, Paris, and Bangalore
- Fubo is an e-verified company
Fubo’s minimum base salary for this role if hired in New York City is $170,000 per year; maximum base salary for this role is $215,000 per year. Additionally, this role is eligible to participate in Fubo's annual bonus plan, unlimited PTO, and a full range of medical benefits. Final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience and expertise, location and other business considerations.
Top Skills
What We Do
With a mission to provide the world’s most thrilling sports-first live TV experience through the greatest breadth of premium content, and interactivity Fubo is focused on bringing to life its vision of a streaming platform that transcends the industry’s current virtual MVPD model.
Why Work With Us
We are a diverse group of individuals, creatives, technologists, analysts and more. Some of us love sports, some binge the news, others prefer rom-coms. But we are united by a common goal — to create a streaming platform that transcends the industry’s current virtual MVPD model.