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Technical Program Manager

Full-Time at Hulu Santa Monica, Hulu San Francisco, Hulu New York Req ID: P006494-R0009443

The data life

Data drives Hulu, and our Data Platform and Data Sciences teams are some of the most talented in the industry. We've built a data platform that can ingest, store, and process terabytes of data every day. Here, you can focus on a variety of domains such as data science, machine learning, and optimization — all while collaborating on a cutting-edge analytical solution development pipeline. We'll look to you to provide data analysis and research to present a compelling vision of viewer retention and preferences across the vast ecosystem of Hulu's product offerings and content.

Herbie Hulu Santa Monica Herbie
Our culture here is pretty special – fun, inclusive, balanced and also ambitious and creative. I learn so much from the other data scientists here. I’m proud to work on the Hulu product as well – bringing a variety of stories to people’s devices and living rooms and being an overall net positive in people’s lives.

The part you’ll play and
preparation for your role.

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.

SUMMARY

The Data Reliability Engineering team for Disney Streaming Services (DSS), a segment under the Disney Media & Entertainment Distribution (DMED), is responsible for maintaining and improving the reliability of DSS’ big data platform, which processes hundreds of terabytes of data and billions of events daily. We are looking for a Data Reliability Engineer to help us in the ongoing mission of delivering an outstanding service to our users and make DSS more data-driven. Additionally, you will work closely with our partner teams on our incident management processes including post-mortem, root cause analysis and preventing incident recurrence. You will be making an outsized impact in an organization that values data as its top priority. Are you passionate about reliability engineering, automation and software delivery excellence? If that is the case, we believe this is the role for you.

WHAT YOU'LL DO

  • You will work closely with your counterparts on the Data Reliability Engineering team and our partner teams to improve automation, resiliency and maintainability of our data systems.
  • You will build solutions to continually improve our software release and change management process using industry best practices to help DSS maintain legal compliance.
  • You will help to design and build systems that improve the reliability, resiliency and maintainability of our big data systems and products.
  • You will help to build out observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting.
  • Plan service capacity and testing automation, design business continuity and disaster recovery plans and processes and work with the engineering team on implementation.

WHAT TO BRING

  • 2+ experience working on Linux environment, and proficient with cloud environment (AWS)
  • 2+ years of hands-on experience in Reliability Engineering for high-performant, scalable and distributed data systems with a focus on automation
  • Detailed problem-solving approach, coupled with a strong sense of ownership and drive
  • A passionate bias to action and passion for delivering high-quality data solutions
  • Experience coding in one or more of the following programming language: Python, Java, or Scala
  • Understanding of CI/CD principles, familiar with version control systems (Git)
  • Attention to detail and quality with excellent problem solving and interpersonal skills

This position is with Hulu, LLC which is part of a business segment we call Hulu.

Our Hiring Process

  • Explore life at Hulu

    Thanks for stopping by to get an inside scoop on our products and culture. Once you get a taste of the Hulu way of life, take some time to browse our open jobs to see where your expertise, interests, and experience align! We are so excited to see what you bring to the table.

  • Up next on your journey

    You applied to one of our roles and it looks like you might be a fit. As a next step, prepare to discuss your background, goals, and aspirations with a recruiter or team member.
    They will also be ready to answer all of your questions about Hulu and the role. If you aren't a fit this time, keep an eye on our open roles for the next opportunity that might be a match.

  • Meet the team

    Log on and meet the team virtually. With Hulu focused on keeping candidates and employees safe, we are conducting all interviews through video conferencing technology, and we are leveraging digital collaborative tools to ensure the experience is thorough and positive.
    The video interview is typically the final stage of the process and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume.

Just like the best ensemble casts of our favorite shows,
Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, in accordance with applicable federal, state, and local law. Hulu is committed to providing reasonable accommodations to applicants if needed during the interview process.

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