Staff Software Engineer

Disney Cruise Line - The Walt Disney Company
London
2 months ago
Applications closed

Related Jobs

View all jobs

Staff Engineer (ML-Native / Software Engineering)

Principal Software Engineer

Staff Machine Learning Engineer Institute of Computation / 14 January 2025

Staff Machine Learning Engineer (NLP, LLMs) - new PurpleAI product

Software Engineer

Head of Engineering

About the Role & Team

Performance Marketing is an internal cross -functional team within The Walt Disney Studios Marketing organization. The performance Marketing uses developing and maturing ad technologies to achieve remarkable data-driven results within auction-based or otherwise addressable media platforms; they also support other paid media and marketing efforts with insights, recommendations, and innovative marketing technologies. Performance Marketing includes Marketing Technology and Marketing Science who help drive innovation, as well as units for Performance Marketing Strategy & Operations, Marketing Analytics, and Marketing Compliance who ground the overall team in the business. Together, we strive and collaborate for continuous improvement in advertising effectiveness and efficiency while protecting and enhancing the magical brands of The Walt Disney Studios!

We are looking for a Staff Software Engineer to sit in the Marketing Technology Unit, to create, experiment, and innovate with new media performance applications and automations. You'll get to understand the challenges of driving a highly data-driven and technically precise paid media strategy for a variety of titles and brand experiences, all while using the latest technologies and tooling in the data/tech space. If you're interested in working in a highly collaborative team environment embedded directly in a key business unit like this, please get in touch - we'd love to hear from you!

What You Will Do

  • Design and build tools that support the existing ad technology teams at The Walt Disney Studios—collectively known as “the performance marketing engine”; allow the teams to scale their work, increase the rate of delivery, and make space for future innovation
  • Drive software engineering and architectural best practices and standards within the team, along with a culture of engineering excellence; uphold standards and rigor around software development, testing, deployment, and documentation
  • Provide mentorship and guidance for team members; evangelize the new tools, best-practices, and data driven decisions
  • Develop and enhance existing capabilities of the Performance Marketing Engine
  • Create tooling and applications that can dynamically manage ad strategy configurations in a variety of social and digital platforms
  • Collaborate with data scientists and product managers to rapidly iterate from prototypes to high-quality, production pipelines; contribute to emerging marketing analytics projects that address pressing business questions from collaborators in The Walt Disney Studios Marketing organization
  • Implement quality controls, monitoring, and other safeguards to ensure optimizations are accurately and safely applied to in-flight ad campaigns and key business metrics are always presented accurately
  • Adapt applications and workflows in the Performance Marketing Engine to changes arising from industry-wide events (such as the iOS14 update or cookie deprecation) as well as to more customary changes like standard updates to partner APIs.
  • Collaborate with Studio Technology team to ensure data fidelity and reenforce larger data initiatives at The Walt Disney Studios
  • Lead efforts to design and create new and innovative enhancements to the Performance Marketing Engine to improve capabilities in: Categorizing and taxonomizing paid media efforts
  • Implement paid media strategies at scale across multiple digital media channels
  • Simplify media operations and improving operational efficiency

Required Qualifications & Skills

  • Bachelor’s and/or Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
  • 7 years or more of related work experience
  • Shown experience developing well-documented applications and API-based services, using frameworks such as FastAPI (Python) or Sprint Boot (Java)
  • Experience with data-rich environments and a fluency with Python, Spark, and SQL
  • Ability to craft and own CI/CD pipelines for applications, using infrastructure-as-code frameworks such as Terraform or CloudFormation
  • Experience partnering with data science teams to bring pipelines and libraries into robust, production environments
  • Ability to dive deep into any technical component as well as understand and drive the overall systems architecture.
  • Proven ability to manage multiple projects effectively that meet deadlines within a fast-paced environment
  • Understanding of media and marketing, including how to define marketing/ media KPIs

Preferred Qualifications

  • Knowledge of ad platforms including DMPs, Google Ads, Facebook/Instagram, Twitter, Innovid, LiveRamp and DSPs (Google DV360, Trade Desk, Verizon Media Group)
  • Familiarity with front-end software development, including Javascript and frameworks like Angular or React
  • Knowledge of Databricks and AWS Cloud Services
  • Knowledge of digital ad serving, tracking and implementation

Disability accommodation for employment applications

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

The Walt Disney Company is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.


The hiring range for this remote position is $152,200.00 to $204,100.00 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.#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.