Req [5869] Software Engineer, Monetization

Unity Technologies•San Francisco, CA

1d•Hybrid

About The Position

Design, implement, test, review and maintain Unity’s Monetization platform, product, and services to enable developers to build a business through advertising, in-app purchases. Write high-quality and scalable code that supports the existing and future functionality of the product and ensure successful delivery. Handle system scalability, performance, process big volumes in data and system functional requirements to drive towards the use of machine learning. Manage and deliver individual project priorities, deadlines, and deliverables. Translate business requirements into engineering features.

Requirements

Master’s degree or foreign equivalent degree in Computer Science, Information Systems, Information Technology, or a related field, and three (3) years of related work experience.
Designing APIs and backend services and systems
Implementing and reviewing code in Golang, Nodejs, Typescript, and Python
Working with SQL, NoSQL, and KeyValue based data storage systems like Postgres, MongoDB, and Redis
Bigquery or other data warehousing solutions
Working with streaming platforms and queues such as Kafka and Nats
Using Terraform to manage cloud infrastructure
Creating Python Notebooks to analyze datasets and provide valuable insights
Coordinating with product and delivery of product end to end
Sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Responsibilities

Design, implement, test, review and maintain Unity’s Monetization platform, product, and services to enable developers to build a business through advertising, in-app purchases.
Write high-quality and scalable code that supports the existing and future functionality of the product and ensure successful delivery.
Handle system scalability, performance, process big volumes in data and system functional requirements to drive towards the use of machine learning.
Manage and deliver individual project priorities, deadlines, and deliverables.
Translate business requirements into engineering features.