Sr. Software Engineer

Sr. Software Engineer Duration : 0-12 month(s) Remote

Join us at Metadata Authority Engineering, a driving force within the Media Engineering organization, where we fuel the magic of Client

and ESPN Technology. Our team is dedicated to crafting, refining, and disseminating content metadata across our platforms with unparalleled precision.

Imagine being part of a mission to ensure that every piece of content is not just showcased, but gloriously represented, enhancing the viewer experience

across Disney Streaming platforms and beyond. We're not just revolutionizing streaming video; we're reshaping it entirely.

We're changing the world of streaming video and looking for a Software Engineer to be a key contributor to the team while driving the technical design,

implementation, and improvement of services.

Responsibilities

This role involves a range of responsibilities related to software development and management within the Content Metadata domain.

• Design and implement scalable metadata management systems, including developing APIs for metadata ingestion,

retrieval, and manipulation, while creating efficient data models for storing and organizing content metadata

Design well-architected solutions and deliver on them with code that is easy to develop and maintain

Lead technical design and implementation of new features

Participate in project phasing and delivery together with your manager, team lead and Technical Project Managers

Identify areas of improvement in our systems and workflows

Take a user-centric approach to improving our content management systems and data flows

Write defensive and robust tests

BASIC QUALIFICATIONS :

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Mathematics, or a closely related field

5+ years of software development experience

Proficiency in (in order of importance) :

Java & Python

relational databases (MySQL, Postgres)

event or pub / sub driven architecture (Kafka, Kinesis)

Solid understanding of AWS (Lambda, Kinesis, SQS / SNS, DynamoDB, etc.)

Exposure to Machine Learning and Computer Vision

PREFERRED QUALIFICATIONS :

Experience with Machine Learning and especially Computer Vision is a big plus

ADDITIONAL NOTES : Intake Notes :

Backend Focus

Proficient with JavaScript / Pytho

5 plus years' experience

AWS experience required

Interview Process :

1-2 Rounds

Coding or Technical Challenge should be expected