Senior Software Engineer

Job-Zusammenfassung:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The Machine Learning (ML) Engineering team at Disney drives and enables ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment.  The team is invested in continual innovation of the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments. We’re looking for a Senior software engineer interested in building optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem.  In addition, the ideal candidate would be excited about partnering with various data science, analytic and experimentation teams to gather requirements, seek feedback, and focus on continuous development and improvement of the ML platform and infrastructure.

Responsibilities:

• Design and develop infrastructure for the full cycle of machine learning such as workflow orchestration and management interfaces, data discovery tools, data quality and feature libraries.
• Streaming data platform/infrastructure
• Model hosting layer, model serving in batch, nearline and online
• Experience designing and developing backend microservices for large scale distributed systems using gRPC or REST.
• Ability to guide multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.
• Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, IaC via Terraform and container systems such as Docker or Kubernetes.
• Drive and maintain a culture of quality, innovation and experimentation
• Mentor colleagues on best practices and technical concepts of building large scale solutions
• Work in an Agile environment that focuses on collaboration and teamwork

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• 5+ years of software experience working in large scale, real-time distributed systems.
• Experienced in OO programming preferably Java.
• Expertise with JVM, especially Spring Boot.
• Experienced with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes.
• Passion for turning ideas into products and improving the member experience.
• Excellent communication and people engagement skills.

Preferred Qualifications:

• Familiarity with developing and deploying Spark and ML pipelines
• Familiarity with big data technologies such as Hadoop, HDFS, Airflow, Databricks, Jupyter, Kinesis, Kafka
• Experience building backend microservices for large scale distributed systems
• Conversant in AWS and cloud computing technologies

#DISNEYTECH

The hiring range for this position in New York is $142,600-$191,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Weitere Informationen:

DISNEYTECH