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- Tasks: Lead the development of innovative AI platforms and design scalable architectures.
- Company: Join Disney, a leader in entertainment, known for creativity and innovation.
- Benefits: Enjoy competitive pay, bonuses, remote work options, and comprehensive benefits.
- Why this job: Be part of a dynamic team driving cutting-edge technology with a focus on collaboration and innovation.
- Qualifications: 7+ years in software engineering, strong architecture skills, and experience with AI technologies required.
- Other info: Passion for Disney's mission is essential; thrive in a fast-paced, collaborative environment.
The predicted salary is between 108000 - 156000 £ per year.
We are seeking a highly skilled and experienced Staff Software Engineer to serve as the Technical Lead an AI platform development and architecture. The ideal candidate will have a strong background in software engineering, with a particular focus on architecture and system design. This position requires a deep understanding of modern software development practices, a passion for innovation, and collaborate with a team of talented engineers.
Responsibilities:
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Design and implement scalable, secure, and high-performance architectures for our digital platforms.
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Ensure that architectural decisions align with business goals and technical standards.
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Collaborate with cross-functional teams to integrate architecture into the overall product roadmap
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Stay current with the latest technologies and industry trends in software engineering and architecture.
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Provide technical guidance and mentorship to other engineers.
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Conduct code reviews and ensure adherence to coding standards and best practices.
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Work closely with product managers and stakeholders to ensure design and deliverables can be achieved with high quality and on time.
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Troubleshoot and resolve complex technical issues.
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Innovate and propose new solutions to enhance our platforms\’ capabilities.
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Drive the adoption of new technologies and methodologies that can improve our products and services.
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Uses an Agile framework, specifically with an MVP and iterative approach
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Brings to bear techniques to increase collaboration, predictability, and transparency for the team while promoting a culture of experimentation and innovation
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Champions organization-wide processes and best practices related to ideation, delivery, prioritization, and customer engagement
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Uses a lifelong learning mentality, knowing the latest best practices and technologies
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Exercises good judgment when faced with risk, blockers, or tradeoffs
Qualifications:
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Minimum of 7 years of related work experience
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Proven experience in software engineering with a focus on architecture.
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Experience leading technical teams
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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
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Proficiency in modern programming languages and frameworks (e.g., Java, GO, Python, JavaScript, etc.).
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Strong understanding of cloud platforms (e.g., AWS, Azure, GCP)
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Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc)
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Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
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Knowledge of DevOps practices and tools.
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Experienced in SCRUM/Lean Agile frameworks with an MVP/iterative approach
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Ability to influence, take calculated risks, make sound business decisions, and resolve concerns as needed
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Excellent interpersonal and communication skills both written & verbal for technical audiences
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Positive can-do partnership demeanor while working with cross-functional teams and business units
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Must be detail oriented, self-organized, and capable of simultaneously prioritizing multiple efforts
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Ability to resolve conflict
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Prioritizes work effectively, making tradeoffs as necessary
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Manages to deliverables.
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Ability to thrive in a dynamic, collaborative, and fast paced environment
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Models desired company cultural attributes and inclusive behaviors
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Passion for Disney\’s mission and values
Nice To Haves:
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Proficiency in Go programming language
Education:
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Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics engineering, or comparable field of study and/or equivalent work experience
#DISNEYTECH
The hiring range for this position in Seattle is $159,500 – $213,900 per year and in California is $152,200 – $204,100 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
Staff Software Engineer - AI employer: Disney Cruise Line - The Walt Disney Company
Contact Detail:
Disney Cruise Line - The Walt Disney Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - AI
✨Tip Number 1
Familiarise yourself with the latest trends in AI and software architecture. Being able to discuss recent advancements or technologies during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your leadership experience. Think of specific examples where you've led a technical team or project, as this role requires strong leadership skills and the ability to mentor others.
✨Tip Number 3
Brush up on your knowledge of cloud platforms and containerization tools. Be ready to discuss how you've used these technologies in past projects, as they are crucial for the role.
✨Tip Number 4
Demonstrate your problem-solving skills by preparing for technical challenges. You might be asked to troubleshoot a complex issue during the interview, so practice articulating your thought process clearly.
We think you need these skills to ace Staff Software Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly in architecture and system design. Include specific projects where you led technical teams or implemented scalable architectures.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Mention how your background aligns with the responsibilities of the role, such as mentoring engineers and driving the adoption of new technologies.
Showcase Relevant Skills: Clearly list your proficiency in modern programming languages and frameworks, as well as your understanding of cloud platforms and AI methodologies. Use examples to demonstrate your experience with containerization and DevOps practices.
Highlight Leadership Experience: Emphasise any previous roles where you led technical teams or collaborated with cross-functional teams. This will show your ability to influence and make sound business decisions, which is crucial for this position.
How to prepare for a job interview at Disney Cruise Line - The Walt Disney Company
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with software architecture and system design in detail. Highlight specific projects where you led technical teams or made significant architectural decisions, and be ready to explain the impact of those decisions on the overall product.
✨Demonstrate Your Leadership Skills
As a Staff Software Engineer, you'll need to lead and mentor others. Share examples of how you've guided teams in the past, resolved conflicts, and fostered collaboration. This will show that you're not just technically proficient but also a strong leader.
✨Stay Current with Industry Trends
Make sure to discuss your knowledge of the latest technologies and trends in AI and software engineering. Mention any recent innovations you've implemented or explored, as this demonstrates your passion for continuous learning and improvement.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle complex technical issues. Prepare to walk through your thought process in troubleshooting scenarios, as well as how you would approach integrating new technologies into existing systems.
