The Walt Disney Company

Platform Engineer

• Define and execute the vision and roadmap for WDI's AI-first software platform, transforming how Imagineers design and deliver experiences
• Lead the implementation of AI-powered developer tools and infrastructure across WDI software teams
• Translate emerging AI capabilities into production-ready platform features that accelerate creative and engineering workflows
• Establish standards and best practices for AI-assisted development, improving engineering velocity and code quality
• Evaluate and integrate AI coding assistants, automated testing, and intelligent CI/CD capabilities
• Drive investment strategy and resource planning for AI platform initiatives
• Inherit and grow a high-performing engineering organization, recruiting top talent to expand platform capabilities
• Foster a culture of innovation, technical excellence, and rapid iteration
• Partner closely with Disney Research and Advanced Development to transition cutting-edge research into production systems
• Collaborate with Product Management to align platform capabilities with Imagineering priorities and user needs
• Engage with software development groups across WDI to drive adoption and gather feedback on AI infrastructure initiatives
• Build relationships with external technology partners and vendors to accelerate platform development

Executive – AI Platform Engineering

Machine Learning Engineer

• Develop sophisticated, production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms
• Build tools & agents with advanced capabilities in reasoning, planning, and adaptive tool utilization to address complex business challenges
• Drive complete ownership of the AI/ML lifecycle – encompassing implementation, comprehensive testing, deployment, and continuous operational monitoring – delivering projects on schedule and to specification
• Produce high-quality, maintainable code for model training pipelines, evaluation frameworks, and inference services that meet production standards
• Partner strategically with cross-functional stakeholders including product leaders, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes
• Provide hands-on technical leadership, driving architectural decisions and championing best practices across AI development, LLMOps, quality assurance, and production deployment
• Design and implement responsible AI frameworks including hallucination detection, safety guardrails, comprehensive evaluation systems, and observability infrastructure to ensure model reliability, accuracy, and ethical deployment
• Establish comprehensive evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness
• Proactively identify and resolve technical blockers that could impact project timelines or deliverables
• Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence
• Engage directly in development and problem-solving, particularly on high-complexity technical challenges, to maintain project velocity and quality
• Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.

Lead Machine Learning Engineer

Software Engineer

• Serves as a department lead, providing daily oversight of Supervisors and Engineers and keeping leadership updated on critical on air information.
• Fulfills all responsibilities of a supervisor while leading daily acquisition and distribution operational needs with minimal supervision.
• Possesses expert level knowledge of department workflows, signal acquisition paths, distribution signal flows, and department managed hardware.
• Provides advanced training on hardware, procedures, and signal flows for supervised staff.
• Works with internal departments and external service providers to plan maintenance, events, and departmental projects.
• Demonstrates expert capabilities in identifying and resolving operational errors and equipment failures, while adopting new technologies and workflows.
• Assists management in developing training and educational materials to ensure full staff competency.

Manager, Transmission Engineering

SDET

• Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units
• Establish and maintain enterprise-wide standards for quality, automation, and operational excellence
• Lead the architecture of scalable, resilient, and cloud-native test automation solutions
• Serve as a coaching resource to SDETs, engineers, and leadership

Principal Software Development Engineer – Test

Full-stack Engineer

• Perform digital pipeline tools development for 3D content creation including theme-park visualizations, animated animatronic animations, ride vehicles, simulated projectors, and other dynamic show elements
• Troubleshoot and support previously built software products and/or proof-of-concepts
• Engage with designers and artists to better support them and gather new requirements

WDI Software Developer Intern – Art and Media Pipeline

• Lead, inspire, and develop multiple quality engineering teams and people leaders (managers/technical leads), fostering a culture of technical excellence, inclusion, and continuous learning.
• Define the multi-year vision and strategic roadmap for quality engineering across the advertising platform, aligned with company business and technology goals.
• Champion organizational transformation, driving the adoption of best-in-class practices, tools, and quality metrics at scale.
• Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.).
• Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams.
• Ensure timely resolution and prevention of high-severity outages through organizational postmortems, root cause analysis, and systemic improvements.
• Develop, communicate, and execute the quality engineering strategy across multiple product groups, balancing innovation, risk, and operational needs.
• Oversee resource planning, hiring, and organizational design to ensure scaling and allocation of quality engineering talent to meet evolving business needs.
• Take ultimate responsibility for quality governance, compliance, and traceability across all product lines within your scope.
• Build and maintain strong working relationships with senior leadership in engineering, product management, data science, product operations, and business teams.
• Articulate quality risks, trade-offs, and long-term strategies to executive stakeholders; provide regular reporting on quality metrics and organizational outcomes.
• Lead cross-functional initiatives to ensure test automation and quality engineering are embedded early and effectively throughout the development lifecycle.

Senior Manager, Software Development Engineer in Test

• Build, enhance, and support highly scalable, reliable, and cost-optimized cloud-based event-streaming and integration platforms.
• Use Infrastructure as Code (Terraform) and CI/CD pipelines to deploy and manage cloud resources.
• Enhance and support Spring Boot/Java microservices based applications for administration and operation of messaging platform.
• Design, develop and support integration services connecting enterprise products and third-party systems.
• Provide technical leadership, mentorship, and conduct code reviews.
• Collaborate with cross-functional teams to deliver high-impact solutions.
• Ensure performance, reliability, and observability across the platforms.
• Champion engineering excellence in areas such as IaC, microservices design, price-performance optimization, and observability.
• Continuously improve platform automation, monitoring, and self-service capabilities.

Lead Software Engineer – Data Streaming, Integration Platforms

• Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines.
• Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.).
• Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders.
• Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives.
• Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention.
• Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing.
• Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies.
• Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines.
• Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions.
• Build consensus across product teams for standardization of test tools, frameworks, and reusable components.
• Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership.
• Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments.
• Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs.
• Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability.
• Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability.
• Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards.
• Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements.
• Lead efforts to mature organization’s quality posture in performance, security, and reliability engineering.
• Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality.

Principal Software Development Engineer in Test

• Build and maintain high scale Golang backend APIs to power DASH and HLS VOD and live dynamic ad insertion playback across Disney’s streaming applications.
• Develop infrastructure and deploy maintain highly available distributed systems via AWS with tooling like Spinnaker and Kubernetes.
• Write design documents for new systems, contribute to team pull requests and documentation and actively participate in team agile ceremonies.

Software Engineer II – Manifest Delivery

• Work closely with Software Engineers to understand the complex ecosystem in place at DEEP&T
• Develop automated test frameworks and suites on UI, API and Integration levels of testing using python or other OO language
• Participate in design discussions for our platform to help evolve the platform in a way that enables richer testing scenarios that simplify defect detection and prevention
• Assist with triage, diagnosis, and resolution of issues discovered across teams.
• Contribute to end-to-end acceptance tests
• Where necessary, develop and execute manual test cases to detect issues that cannot be detected through automated means
• Drive the conversion of manual tests to automated whenever possible
• Part of product teams in building architectures which are robust, fault-tolerant, and cloud-native.
• Influences and drives software engineering best practices within the team
• Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members code.

Software Developer in Test II

• Own the analysis, design, program, debugging, and modifications of software improvements and/or new products
• Lead projects that may be used in commercial and end-user applications or focus on software and tools supporting infrastructure and technology platforms
• Work typically involves large or highly sophisticated software programs and systems
• Mentor, coach, and provide technical guidance to team members
• Conceive, design, develop, test, and implement software components, fixes, improvements, and/or new systems and applications
• Interact with users to define system requirements and/or necessary modifications
• Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations
• You will be expected to stay up to date with emerging technologies so you can make informed recommendations

Lead Software Engineer

• Assist in the design and development of applications using modern languages (Python, NodeJS, Java, or Go).
• Learn how to manage cloud resources and accounts securely and efficiently across AWS, Azure, and GCP.
• Help build and maintain RESTful or GraphQL APIs to support internal services.
• Participate in code reviews, pair programming, and technical discussions to learn best practices from senior engineers.
• Work with the team to troubleshoot issues and implement improvements to existing governance tools.

Software Engineering Intern, Cloud Governance

Sales

• Lead Sales-specific valuations and demand forecasts, in partnership with Finance teams for consistent application within financial plans.
• Analyze and consolidate macro-level business scenarios to evaluate solutions and quantify impacts across the Sales portfolio.
• Responsible for communicating those results to Sales and Brand leads.
• Manage a team responsible for evaluating and communicating revenue analytics outputs and go to market strategies that meet the needs of the Sales organization.
• Facilitate learning and identify opportunities for individual growth and development.
• Drive requirements for Sales-based data collection, consolidation and exposure that meet cross-portfolio needs.
• Develop uniform KPIs throughout the tech stack for consistent, scalable outputs in order to quantify real-time risks and opportunities.
• Manage internal reporting outputs, distribution, and communication throughout the Sales organization.
• Partner across departments to identify audience-specific needs and oversee the accuracy of the data and effectiveness of insights to inform strategic decisions.
• Provide ongoing consultation to ESPN/Bristol teams regarding Corporate Strategy, Programming and Acquisitions.
• Partner with these groups to provide Ad Sales financial impact and POV to ESPN business related negotiations and decisions.

Director, Sports Revenue Analytics

Manager

• Provide tactical leadership, critical decision making, strategic direction, and daily oversight
• Collaborate with Walt Disney Imagineering, Engineering Services and other partners to develop, create, and innovate solutions to critical technical information and documentation
• Lead technical writers, maintaining project schedules, writing and publishing technical information
• Define formats, styles, and processes
• Coordinate with project estimators and schedulers on publications deliverables
• Track and report the status of publications deliverables to WSA management throughout the life of the project
• Assist the Production Studio in final product delivery
• Work closely with senior management from various departments involved in content management activities

Manager – Technical Publications

Program Manager

• Support driving security improvements throughout TWDC using the National Institute of Standards and Technology (NIST) Cybersecurity Framework (CSF)
• Ensure that the Global Information Security (GIS) portfolio operates with clarity, consistency, and strategic alignment
• Provide leadership to integrate work across GIS pillars, maintain strong portfolio governance, and deliver security initiatives that directly support TWDC’s enterprise‑level risk reduction and business priorities
• Establish and continuously refine PM practices, frameworks, and tooling standards to drive consistency and quality across the GIS program management function
• Define and manage a structured intake and demand management process (in alignment with GIS Risk Management team) to evaluate, prioritize, and onboard new initiatives into the GIS portfolio
• Provide executive‑level reporting and communications, translating complex technology initiatives and cybersecurity risks into clear, business‑focused insights
• Lead large, complex, multi‑threaded (10+ workstreams) Cybersecurity and Data Privacy projects, ensuring delivery of strategic outcomes aligned with enterprise objectives
• Proactively identify and manage program risks, issues, and dependencies, implementing mitigation strategies to protect outcomes and timelines
• Develop, manage, and oversee program budgets and resources to deliver results in a cost‑efficient and accountable manner