Software Engineer

The Walt Disney Company (France); Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global entertainment corporation seeks a Software Engineer in Identity Engineering to contribute to designing, developing, and deploying machine learning models in a cloud environment. The role requires familiarity with programming languages like Scala and Python, cloud providers like AWS, and Agile methodologies. Candidates should possess a bachelor's degree and a minimum of 3 years' experience. This position values collaboration and continuous learning.

Qualifications

• Minimum of 3 years related work experience.
• Bachelor's degree in Computer Science, Information Systems, or comparable field.

Responsibilities

• Contribute to the design, development, testing, deployment, and support of ML models.
• Promote Agile methodologies by participating in ceremonies.
• Collaborate with squad and stakeholders to understand requirements.

Skills

Familiarity with Scala

Familiarity with Python

Familiarity with SQL

Familiarity with Spark

Familiarity with Hive

Familiarity with Presto

Familiarity with machine learning

Familiarity with AWS

Familiarity with GCP

Familiarity with Azure

Education

Bachelor’s degree in Computer Science

Tools

Databricks

Apache Airflow

Terraform

Job description

About the Role & Team

As a Software Engineer in Identity Engineering, you’ll be responsible for writing and reviewing code, contributing to technical and architectural decisions, and collaborating with your squad and partners across Product, Project Management, and Engineering. You’ll have the opportunity to influence the roadmap, work within agile and CI/CD practices, and be part of a dynamic, inclusive environment that values collaboration, functional programming, and continuous learning and improvement.

Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: D+, Hulu, ESPN+, and Parks. Identity Engineering squads build and run high‑traffic and globally replicated systems which form an integral and visible part of every user’s journey at Disney properties.

What You Will Do

• Contribute to the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment.
• Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand‑up, retrospectives and sprint planning.
• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.

Required Qualifications & Skills

• Familiarity with at least one of the following languages: Scala, or Python; and SQL.
• Familiarity with at least one of the following: Spark, Hive, or Presto.
• Familiarity with machine learning (ML) methods and their application at scale.
• Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
• Minimum of 3 years related work experience.

Desirable Skills

• Familiarity with the Scala programming language and the Python programming language.
• Familiarity with Databricks and Apache Airflow products.
• Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices.

The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse workforce that is representative of our audiences, and where all can thrive and belong. Disney is committed to forming a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives.

We will ensure that individuals with disabilities are provided the necessary accommodations to participate in the job application or interview process, to perform essential job functions, and to receive all benefits of employment. Please contact us to request accommodation.