Staff Software Engineer - AI at The Walt Disney Company

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, MediaIndustries

Requirements

Minimum of 7 years of related work experience
Proven experience in software engineering with a focus on architecture
Experience leading technical teams
Proven experience designing and developing highly strategic products/platforms, large scale application/data deployments, managing software or data development lifecycles, and resolving issues that impact product success
Proficiency in modern programming languages and frameworks (e.g., Java, GO, Python, JavaScript, etc.)
Strong understanding of cloud platforms (e.g., AWS, Azure, GCP)
Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc)
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Knowledge of DevOps practices and tools
Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach
Ability to influence, take calculated risks, make sound business decisions, and resolve concerns as needed
Excellent interpersonal and communication skills both written & verbal for technical audiences
Positive can-do partnership demeanor while working with cross-functional teams and business units
Must be detail oriented, self-organized, and capable of simultaneously prioritizing multiple efforts
Ability to resolve conflict
Prioritizes work effectively, making tradeoffs as necessary
Manages to deliverables
Ability to thrive in a dynamic, collaborative, and fast paced environment
Models desired company cultural attributes and inclusive behaviors
Passion for Disney's mission and values
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics engineering, or comparable field of study and/or equivalent work experience
Nice to have: Proficiency in Go programming language

Responsibilities

Design and implement scalable, secure, and high-performance architectures for our digital platforms
Ensure that architectural decisions align with business goals and technical standards
Collaborate with cross-functional teams to integrate architecture into the overall product roadmap
Stay current with the latest technologies and industry trends in software engineering and architecture
Provide technical guidance and mentorship to other engineers
Conduct code reviews and ensure adherence to coding standards and best practices
Work closely with product managers and stakeholders to ensure design and deliverables can be achieved with high quality and on time
Troubleshoot and resolve complex technical issues
Innovate and propose new solutions to enhance our platforms' capabilities
Drive the adoption of new technologies and methodologies that can improve our products and services
Uses an Agile framework, specifically with an MVP and iterative approach
Brings to bear techniques to increase collaboration, predictability, and transparency for the team while promoting a culture of experimentation and innovation
Champions organization-wide processes and best practices related to ideation, delivery, prioritization, and customer engagement
Uses a lifelong learning mentality, knowing the latest best practices and technologies
Exercises good judgment when faced with risk, blockers, or tradeoffs

Skills

Key technologies and capabilities for this role

AISoftware ArchitectureSystem DesignAgileMVPCode ReviewScalable ArchitecturesSecure SystemsHigh-Performance Systems

Questions & Answers

Common questions about this position

What experience level is required for this Staff Software Engineer role?

A minimum of 7 years of related work experience is required, with proven experience in software engineering focused on architecture and leading technical teams.

What technical skills are needed for this position?

Proficiency in modern programming languages like Java, GO, Python, JavaScript; strong understanding of cloud platforms such as AWS, Azure, GCP; experience with AI/ML platforms, containerization tools like Docker and Kubernetes, and DevOps practices are required.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of company culture or work environment can I expect?

The role involves an Agile framework with an MVP and iterative approach, promoting collaboration, predictability, transparency, experimentation, innovation, and a lifelong learning mentality.