Software Engineer

Disney; City of Westminster; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading entertainment company in the UK is seeking an experienced Software Engineer to join its Identity Engineering team. You will be responsible for designing and deploying machine learning models while promoting Agile methodologies and collaborating across various departments. Candidates should have a Bachelor's degree in a related field and familiarity with relevant programming languages such as Scala and Python. This position promises a dynamic work environment at the forefront of technology.

Qualifications

• Experience with at least one cloud provider such as AWS, GCP, or Azure.
• Minimum of 3 years related work experience.
• Familiarity with machine learning methods at scale.

Responsibilities

• Design, develop, test, deploy, and support ML models in a cloud environment.
• Support Agile methodologies by participating in ceremonies.
• Collaborate with various stakeholders to meet technical requirements.

Skills

Familiarity with Scala

Familiarity with Python

Familiarity with SQL

Familiarity with machine learning methods

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Azure

Spark

Hive

Databricks

Apache Airflow

Job description

Overview

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.

Responsibilities

• 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.

Qualifications

• Familiarity with at least one of the following languages: Scala, Python, or 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.