Job Summary :
You'll join a hardworking group of engineers who build and manage systems that publish data to Hulu’s internal and edge-facing services - ultimately powering Hulu clients running on smart TVs, smartphones, gaming consoles, FireTV, Apple TV, Roku, and others.
We're passionate about data - just like you! You'll apply your experience with database technologies to construct distributed, large-scale services.
Responsibilities and Duties of the Role :
Work with product stakeholders to design solutions related to the discovery of content for Hulu viewers
Work with engineering stakeholders to design resilient, scalable architectures that span many teams and services.
Work with engineering teams to execute on your designs and contribute the solutions of others
Lead engineering teams in the execution of your solutions
Mentor individual engineers with the aim of growing technical and domain expertise
Make a case for your ideas by presenting to engineering and product stakeholders
Manage a broad set of work and provide clear information to stakeholders on the status of your efforts
Basic Qualifications :
Strong programming skills in Java and other object-oriented languages, and a strong grasp of computer science fundamentals (data structures, algorithms, databases,
Strong architectural design capabilities
A pragmatic approach to execution that focuses on frequently delivering value to Hulu’s viewers
Strong discipline to delegate work and focus on solving management problems
Strong verbal / written communication and data presentation skills
A broad perspective on problem-solving
An ability to work both independently and collaboratively
10+ years of experience crafting large-scale, highly available Java services utilizing various database and messaging technologies
Experience designing complex, broad system architectures
Experience operating highly critical production services
Experience establishing and maintaining observability best practices
Experience designing systems for three 9s resiliency
Deep experience building on AWS
Experience deploying and scaling within a cloud infrastructure.
Experience managing heavy data including ingesting, cleansing, validation, and analysis
Experience with tools and methodologies for identifying patterns in data
Deep experience with data systems including databases, messaging systems, distributed data computing and analytics such as Spark, Flink, Hadoop, EMR
Preferred experience directly managing and mentoring a team
Required Education :
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and / or equivalent work experience
The hiring range for this position in San Francisco is $197,900 to $265,400 per year, in Seattle or New York is $189,300, to $253,800 per year and in Santa Monica is $180,700 to $242,300 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.