Job Posting Title:

Software Engineer II

Req ID:

10141286

Job Description:

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.  Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

Sitting inside the Product Engineering team, the Client-Data team plays a pivotal role in bridging the data requirements between our diverse portfolio of front-end applications, and engineering services teams. Our work encompasses the application of software engineering, machine learning and data science at scale, addressing challenges such as platform health monitoring and ongoing performance tracking for new application releases. We collaborate closely with stakeholders to validate product specifications, ensuring clarity and precision, while also synchronizing data-related decisions, instrumentation, and metrics across various platforms. Day to day tasks impact many aspects of the business, such as monitoring application engagement or tracking anomalous usage patterns.

Responsibilities and Duties of the Role:

• Create and maintain optimal data pipeline architecture
• Algorithm Development and Maintenance
• Develop Best Practices and Documentation
• Perform data analysis and data science projects for stakeholders

Required Education, Experience/Skills/Training:

Basic Qualifications

• 3+ years of software engineering, machine learning or data science experience
• Experience with big data tools including Databricks, Snowflake, or similar.
• Knowledge of systems applications, server architecture, cloud technologies, and web applications.
• Experience working cross-functionally with teams of different levels of expertise
• Service Reliability/Operational experience running large scale high-performance systems & Internet services
• Ability to write and maintain reliable and understandable code in SQL, Python, Scala, or other languages.

Preferred Qualifications

Familiarity with the end-to-end data lifecycle: from client-side event generation to backend processing and consumption by Data Science models.

Required Education

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

The hiring range for this position in New York City is $123,000 - $165,000 per year and in San Francisco, CA is $128,700 - $172,500 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.

Job Posting Segment:

PE - Streaming Frontend

Job Posting Primary Business:

PE - Streaming Frontend - Disney+, Web & LRD

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

USA - CA - Market St

Date Posted:

2026-01-28

Job Posting Title:

Security Engineer - Security Architecture and Engineering

Req ID:

10137015

Job Description:

Department Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continually envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that spans theme parks and resorts, a cruise line, sports, news, movies, and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align with business strategies, enable enterprise efficiency, and promote cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to:

• Secure the magic by protecting information systems and platforms.
• Reduce risk by proactively assessing, preventing, and detecting threats to the Company and our Guests.
• Strengthen the business through optimizing execution, application, and technology used to protect the Company.
• Innovate by investing in core capabilities to enhance security posture and operational efficiency.

Team Description:

The GIS Security Architecture and Engineering team is Disney’s trusted authority in security architecture, solution engineering, and secure product delivery. We provide innovative, standards-based capabilities and exceptional services that evolve with our clients’ needs—ensuring protection, agility, and peace of mind across the enterprise. We empower transformational innovation by designing and implementing scalable security architectures and frameworks that enhance resiliency, enable agility, and safeguard Disney’s global technology ecosystem.

Our work protects the integrity of Disney’s storytelling, experiences, and operations—reducing risk, enabling agility, and ensuring resilience in a rapidly evolving threat landscape.

What You’ll Do:

The Security Engineer – Architecture & Engineering will:

• Design and drive secure architecture solutions that protect Disney’s global technology ecosystem, developing reference architectures and patterns that scale across applications, cloud platforms, and enterprise services.
• Lead and influence secure design decisions by partnering with engineers, architects, and business stakeholders to embed security early in the solution lifecycle using secure-by-design and secure-by-default principles.
• Evaluate emerging cybersecurity technologies through Disney’s Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities.
• Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies.
• Conduct advanced threat modeling and architecture risk assessments, leveraging internal incident data and external threat intelligence to proactively identify gaps and strengthen enterprise defenses.
• Identify capability gaps in existing security architectures and design forward-looking solutions that address evolving threats, including Zero Trust Architecture, cloud-native security, and distributed system protection.
• Develop and maintain enterprise security configuration standards, establishing secure baselines that enable consistent, scalable protection across infrastructure, platforms, and applications.
• Translate complex cybersecurity risks into clear, actionable guidance, enabling business and engineering teams to make informed, risk-based decisions that balance security, usability, and speed.
• Lead or contribute to high-impact security initiatives and strategic projects that reduce enterprise risk, improve security maturity, and enable innovation across Disney’s diverse business segments.
• Create and evolve reusable security artifacts such as reference architectures, control frameworks, and engineering patterns that drive consistency and efficiency across the organization.
• Collaborate across enterprise teams to track, prioritize, and remediate risks, ensuring alignment between security strategy, engineering execution, and business objectives.
• Support governance and compliance efforts by aligning solutions to industry frameworks (e.g., NIST, CIS, ISO 27001) while maintaining a strong focus on practical, risk-based implementation.
• Document and communicate security decisions, designs, and outcomes to enable transparency, auditability, and knowledge sharing across the enterprise.

Required Qualifications & Skills:

• 3+ years of experience in Security Architecture & Engineering, with demonstrated ability to design and evaluate secure solutions in complex enterprise environments.
• 3+ years of experience securing workloads and services in public cloud environments (e.g., AWS, Azure, Google Cloud Platform), including implementing native cloud security controls, identity and access management, and secure configuration of cloud services.
• Experience securing modern cloud-native architectures, including containers, serverless technologies, and infrastructure-as-code (IaC) environments.
• Proven ability to create conceptual, logical, and physical security architecture designs, with a strong understanding of system vulnerabilities, attack paths, and effective countermeasures.
• Experience designing and implementing security controls, including those for information protection, identity and access management (e.g., Kerberos, NTLM, Active Directory), and networking technologies (e.g., routing, switching, SDN, segmentation).
• Strong working knowledge of risk analysis methodologies, with the ability to assess risk and design compensating controls in complex, distributed environments.
• Experience applying threat modeling techniques (e.g., STRIDE, MITRE ATT&CK) to identify risks and inform secure architectural decisions.
• Experience integrating security into the software development lifecycle (SDLC), including CI/CD pipelines and secure-by-design practices.
• Familiarity with leading cybersecurity frameworks and methodologies, such as NIST 800-53, NIST 800-30, MITRE ATT&CK, STRIDE, and relevant regulatory or compliance programs (e.g., SOX, HIPAA, PCI DSS).
• Ability to make risk-based architectural decisions, balancing security, business requirements, cost, and operational constraints.
• Strong communication skills, with the ability to translate complex security risks into clear, actionable guidance for both technical and non-technical stakeholders.
• Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms.

Preferred Qualifications:

• Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least two of the following: Identity and Access Management (IAM), cloud and infrastructure security, network security, security operations, security assessment and testing, or secure software development (DevSecOps).
• Experience applying security architecture principles to real-world systems, including aligning security requirements with business objectives and technology strategies (e.g., familiarity with enterprise architecture concepts such as TOGAF or similar frameworks).
• Exposure to securing AI/ML systems or emerging technologies, including awareness of risks such as data leakage, model manipulation, or insecure integrations, and the ability to apply appropriate security controls.
• Relevant industry certifications, such as CISSP, CCSP, AWS Certified Solutions Architect (or Security Specialty), CISM, CRISC, CISA, or GIAC certifications.
• Experience with secure software development and DevSecOps practices, including integrating security into CI/CD pipelines, infrastructure-as-code (IaC), and automated testing or validation processes.
• Proficiency in scripting or programming languages (e.g., Python, Java, JavaScript, or similar) to support automation, security tooling, or data analysis.
• Experience evaluating or implementing modern cloud-native architectures, including containers, serverless platforms, and microservices.
• Demonstrated ability to contribute to cross-functional initiatives, working with engineering, architecture, and business teams to drive secure outcomes.

Required Education:

• 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, WA is $112,000 - $150,100 per year and in Burbank, CA is $106,900 - $143,300 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.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Corporate Global Information Security

Primary Job Posting Category:

Security Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave

Date Posted:

2025-11-26

Job Posting Title:

Senior Software Engineer

Req ID:

10135335

Job Description:

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney’s linear networks and theatrical content. This includes Disney’s media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney’s EMEA, APAC, and LATAM regional business teams.

Job Summary:

The Content Product & Operations team is looking for a Senior Software Engineer that will drive the design and implementation of our next generation temporal and descriptive metadata tagging platform.

As a Senior Software Engineer, you will be expected to develop backend solutions in a dynamic, rapidly changing environment using your technical skill sets, working with product managers and team leads to deliver high quality products that are scalable and robust.  You will be expected to work closely on solutions with peers in a cross-functional environment to ensure we are delivering high quality products that align to the larger business initiatives within the digital media supply chain that support Disney’s TV, broadcast, theatrical, and direct –to-consumer lines of business.

Responsibilities:

• Develop, test, & deploy high quality application code.
• Provide technical guidance and evangelize best practices
• Contribute and review code, set standards, and work with engineers to ensure product and design specifications are met
• Responsible for fundamental platform performance, scalability, and resiliency
• Partner with stakeholders to refine requirements, and propose solutions to problems that span multiple teams
• Mentor junior engineers on the team

Basic Qualifications:

• Minimum of 5 years of related software development experience
• Bachelor's or Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• Motivated self-starter with the ability to learn and adapt to new technologies.
• Can effectively articulate complex ideas and influence others through well-reasoned explanations
• Enjoy working within a team setting of engineers of varying experience
• Strong communication skills and attention to detail
• Comfortable working in a geographically distributed team.

Preferred Qualifications:

• Previous work experience in temporal and descriptive video tagging/ad marking
• Knowledge of performance testing, application profiling, Java heap and thread dump analysis
• Knowledge of video, audio, and subtitle formats, codecs, wrappers, and usages.
• Knowledge of media standards and specifications such as SMPTE

DISNEYTECH

The hiring range for this position in Los Angeles, CA and Bristol, CT is $141,900 to $190,300 per year, and in New York, NY is $148,700 to $199,400 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.

Job Posting Segment:

Content Platforms & Operations

Job Posting Primary Business:

CO - Distribution Platforms

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-11-07

Job Posting Title:

Director, Data Engineering - Platform Data Solutions

Req ID:

10146637

Job Description:

About the Role & Team

"We Power the Magic!" That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.

The Director, Platform Data Solutions, is responsible for leading the Platform Data Solutions organization within the Data Products & Platforms portfolio. This role operates the front door of Helix—ensuring source data arrives reliably, remains secure, and is consistently available for downstream teams and business use.

This leadership position sits within the DX Data organization and reports into the Vice President, Data.

What You Will Do

• Own data platforms, pipelines, and architecture supporting data onboarding, foundational medallion data layers (Landing, Bronze, Silver), and pipeline operations across Disney Experiences, ensuring scalable, reliable, and secure data delivery.
• Lead multiple teams of data engineers responsible for building, operating, and evolving enterprise-scale data ingestion frameworks and pipelines.
• Own the end-to-end front door of Helix, including source system onboarding, ingestion frameworks, data validation, and source-oriented data standardization.
• Accountable for the design, build, operation, reliability, and security of Raw (Bronze) and Cleansed Source (Silver) data layers, managing structured and unstructured data at scale while ensuring auditability, traceability, data quality, and performance.
• Lead pipeline operations and platform reliability, including monitoring, incident response, L2 support, root cause analysis, and proactive remediation to meet availability and SLA expectations.
• Own and manage upstream relationships with technical source system owners, including data contracts, schema evolution, onboarding requirements, and delivery timelines, coordinating upstream changes with minimal impact to the data ecosystem.
• Manage and govern managed services partners providing L1/L2 support and day-to-day data operations, ensuring consistent service delivery and clear engineering accountability.
• Oversee legacy data pipelines while driving migration to modern data platform architectures, ensuring continuity for business-critical workloads.
• Partner closely with Platform Engineering & Operations, Business Data Solutions, and Platform Strategy & Governance in a highly matrixed environment to deliver platform outcomes.
• Provide thought leadership on data engineering best practices, platform architecture, and operational excellence to drive business value, efficiency, and innovation.
• Communicate effectively with senior leaders and stakeholders through clear storytelling, executive updates, and outcome-focused reporting.

Qualifications, Experience & Skills

• 12+ years of related experience in data engineering, data platforms, or large-scale data operations.
• Advanced knowledge of data architecture, data warehousing, and modern ELT/ETL pipeline design.
• Expertise with modern data platforms such as Snowflake and/or BigQuery.
• Experience with lakehouse architecture and data formats including Parquet and Iceberg.
• Experience designing and operating automated, highly available data pipelines at scale.
• Hands-on experience with data transformation and orchestration tools such as dbt and Airflow.
• Strong understanding of data quality, observability, and monitoring practices and tooling.
• Familiarity with data security, privacy, and compliance requirements in enterprise environments.
• Proven ability to lead and develop diverse, highly technical teams in a matrix organization.
• Excellent verbal and written communication skills with the ability to influence and partner at all levels.

Education

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• Advanced degree in the above fields preferred.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Emerging Tech & Data

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-04-13

Job Posting Title:

Mgr, Business Intelligence

Req ID:

10147460

Job Description:

Department Description:

At Disney Experiences Technology (DXT), our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.

As the Manager, Business Intelligence for Disney Photo Imaging (DPI), you will lead a high-performing team of analysts to deliver data-driven insights that shape the strategy, operations, and guest experience of a large-scale, world-class photography business.

DPI operates across multiple sales and service channels—including onsite, online, and mobile—and your leadership will be critical in evolving our business intelligence capabilities toward AI-enabled, self-service analytics.

You will define and execute the BI strategy, partner with cross-functional teams (Product, Technology, Finance, Marketing, and Operations), and ensure that our data infrastructure, tools, and insights empower decision-makers at all levels. This role reports to the Director of Digital Experience.

Responsibilities of the Role:

• Define and lead the strategic direction and roadmap for Business Intelligence in alignment with DPI’s business goals and digital product strategy.
• Lead, mentor, and grow a team of BI analysts, fostering a culture of innovation, collaboration, and continuous learning where they deliver actionable insights that drive revenue, optimize pricing and packaging, and enhance guest experiences.
• Drive the evolution of DPI’s BI capabilities from traditional reporting to AI-powered, self-service analytics that enable scalable, real-time decision-making.
• Partner with stakeholders across Product, Marketing, Finance, and Operations to identify key business questions to provide strategic perspective based on developed reports using various visualization and data modeling methods and present these reports to internal partners and external clients.
• Collaborate with Marketing and Product in the development of appropriate promotional and packaging opportunities of both new and existing products.
• Perform detailed analytical support around both the profitability and incremental of various fulfillment, sales channel alternatives, and pricing alternatives
• Through testing and measurement, determine the optimal product mix, packages, and pricing structure for the online channel.
• Measure targeted promotional offers and guest email communication that will drive purchase behavior and grow incremental profitability
• Oversee the design, development, and maintenance of dashboards, reports, and data visualizations using Tableau and other BI tools; ensure performance, accuracy, and relevance of all outputs.
• Collaborate with data engineering and architecture teams to ensure robust, scalable, and governed data pipelines and models (e.g., Snowflake, SAP, POS, e-commerce systems).
• Champion the development and adoption of self-service BI tools and certified datasets; provide training and support to empower business users to access and analyze data independently.
• Ensure data quality, integrity, and compliance through strong governance practices, access controls, and documentation.
• Leverage advanced analytics techniques—including AI/ML, predictive modeling, and augmented analytics—to uncover trends, forecast performance, and automate insight generation.
• Translate complex data into compelling narratives and executive-ready presentations that influence strategic decisions.
• Monitor and evaluate emerging BI technologies and trends (e.g., conversational BI, real-time analytics) to continuously improve DPI’s analytics capabilities.

Qualifications:

• A minimum of 8 years of experience in business intelligence, data analytics, or related fields, including 2+ years in a leadership or team management role.
• Proven experience with BI tools such as Tableau (Desktop and Server), Power BI, or Looker.
• Proficiency in SQL and data modeling; familiarity with Python or R for advanced analytics is a plus.
• Experience with cloud-based data platforms (e.g., Snowflake, Redshift) and enterprise data systems (e.g., SAP, Adobe Analytics).
• Strong understanding of data governance, data quality, and security best practices.
• Demonstrated ability to define and track KPIs, develop strategic insights, and influence cross-functional stakeholders.
• Excellent communication and storytelling skills; ability to present complex data to technical and non-technical audiences, including senior leadership.
• Experience in digital product, e-commerce, or imaging/media industries is highly desirable.

Preferred Qualifications:

• Experience implementing AI/ML or augmented analytics in a business intelligence context.
• Tableau or equivalent BI tool certification.
• Familiarity with agile methodologies and product development lifecycles.

Education:

• Bachelor’s degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field; Master’s degree or MBA preferred.

The hiring range for this position in Orlando, FL is $123,100.00 to $165,100.00 per year and in Burbank, CA $129,300 to $173,300 per year and in Seattle, WA & New York, NY is $135,400 to $181,600 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.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Products & Experiences

Primary Job Posting Category:

Business Intelligence Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave

Date Posted:

2026-04-17

Job Posting Title:

Principal Site Reliability Engineer

Req ID:

10147294

Job Description:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney!

This role sits in the US Parks & Resorts organization within Disney Experience Technology and works closely with other site reliability engineers, application delivery teams, and systems engineers from across the company.

The Principal Site Reliability Engineer will report to the Sr. Manager, Systems Engineering.

About The Role & Team:

• The Edge Security team supports more than 4000 teams worldwide supporting new product launches, brands announcements, key events, and ongoing Edge Security
• Our team is dispersed over multiple locations to allow for support of our worldwide partners and brands.
• Work closely with our Global Information Security teams to ensure compliance with corporate standards, fulfilment of audit requests, and alignment of Disney Experiences brands to Disney Security standards.

What You'll Do:

• Lead and impact the DevOps culture among the larger Disney Experiences organization while mentoring others on the effective use of the security culture to drive observability
• Elevate and lead the design, build, and support of products platforms
• Propel and drive development pipelines, automate infrastructure and operations, create telemetry for monitoring, engineer high reliability and reinforce best practices to secure company data
• Expertise in systems administration skills Akamai, and must have extensive experience with web and mobile technologies.
• Establish administration requirements in Akamai and bring knowledge to operational excellence and application stability, security, performance, and capacity management, as well as documentation
• Engage in estimation and planning across the organization, voicing recommendations and solutions from a technical perspective
• Continuously monitor and evaluate emerging technologies within your area of expertise to drive informed decision-making and recommendations

Required Qualifications:

• Minimum 10 years of related work experience
• Expertise in defining and implementing industry-leading observability strategies across diverse and highly complex distributed systems, ensuring optimal performance and reliability
• Comprehensive knowledge and hands-on experience with industry standard security tools and approaches driving innovation and setting industry benchmarks
• Mastery in architecting and managing highly available, scalable, and automated security solutions contributing to the organization's strategic objectives and competitive advantage
• Expert in using AI to optimize system reliability through advanced analytics and prescriptive recommendations
• Excellent communication and leadership abilities, to ensure effective growth and development of team
• A visionary in Edge Strategy who motivates teams to challenge the status quo, ensuring our defense posture evolves faster than the tools used by attackers.
• An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging
• Mastery in architecting and automating "Defensive Infrastructure"— highly available, scalable security solutions that protect the origin while maintaining the zero-latency requirements of a world-class SRE organization
• Authority in Akamai Bot Manager, Kona Site Defender, and WAF demonstrating deep expertise and knowledge in the field

Preferred Qualifications:

• ·Extensive Experience with high demand releases and brands
• PCI audit and standards experience

Required Education:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Tech Delivery, Platforms, & Core Systems

Primary Job Posting Category:

Site/System Reliability Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Bay Lake, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-04-17

Job Posting Title:

Senior Machine Learning Engineer - Personalization

Req ID:

10142542

Job Description:

Role Location:

This is an on-site role requiring 4 days in-person at designated office location.

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences.

As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations.

Responsibilities and Duties of the Role:

• Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
• Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
• Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Required Education, Experience/Skills/Training:

Basic Qualifications

• 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
• 5+ years writing production-level, scalable code (Python, SQL)
• 3+ years of experience developing algorithms for deployment to production systems
• In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
• Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark
• Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
• Strong written and verbal communication skills

Preferred Qualifications

• MS or PhD in statistics, math, computer science, or related quantitative field
• Production experience with developing content recommendation algorithms at scale
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Familiar with metadata management, data lineage, and principles of data governance
• Experience loading and querying cloud-hosted databases

Experience with:

• AWS, Databricks

Required Education  

• Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field

The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. 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.

Job Posting Segment:

Product Engineering

Job Posting Primary Business:

PE - Streaming Backend

Primary Job Posting Category:

Machine Learning

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2450 Broadway

Date Posted:

2026-02-13

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life – To enable our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. Alongside clinical research through our PPD® clinical research portfolio, our work in accelerated enrollment solutions optimizes each step of the patient journey in clinical trials, such as securing sites and recruiting patients, allowing for more patients to participate in clinical research. Your determination to put patients at the heart of every decision will improve health outcomes that people and communities depend on – now and in the future.

Job Summary:

Thermo Fisher Scientific Inc. is seeking a highly skilled and motivated Sr Systems Analyst to join our Global Operations IT team. As a member of this team, you will play a key role in supporting the Distribution & Logistics business functions and associated systems, including providing Level 2 support for Manhattan WMOS 2010, 2018. In addition, you will also have a chance to engage in initiatives involving Logistics Control Tower, Machine Automation, and Robotic Process Automation. This position provides an outstanding opportunity to work with the newest technologies and collaborate with outstanding professionals in a globally recognized organization.

Key Responsibilities:

Requirements Gathering & Analysis:

• Collaborate with individuals involved to collect and record business needs.
• Analyze and interpret business needs into functional and technical specifications.
• Conduct feasibility studies and risk assessments for proposed solutions.
• Document system requirements and system design artifacts including flow/sequence diagrams.

System Design & Development:

• Design system solutions that meet business requirements and align with IT architecture standards.
• Develop detailed design documents, including data models, process flows, and system interfaces.
• Partner with business analysts and architects on technical design and coordinate development work with vendors as well as internal development teams.

System Implementation & Integration:

• Run the implementation of new sites, processes, and improvements to existing systems.
• Coordinate with various teams to ensure seamless integration with other applications and systems.
• Configure WMS Manhattan 2010 and 2018 systems to align to business needs.
• Conduct system testing, debugging, and validation to ensure accurate functionality.

Support & Maintenance:

• Delivery and support of incident/break/fix and production support.
• Offer continuous support for deployed systems, including identifying problems and devising practical solutions.
• Develop and maintain system documentation, including user manuals and technical guides.
• Monitor system performance and conduct regular maintenance to ensure efficient operation.

Project Management:

• Lead or participate in project planning, including defining project scope, objectives, timelines, and resources.
• Monitor project advancement and regularly communicate updates to relevant parties.
• Ensure projects are completed on time and within budget.

Training & Development:

• Conduct training sessions for end-users and technical staff on new systems and improvements.
• Develop training materials and user guides to facilitate knowledge transfer.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
• Minumum 3-5 years of experience as a Systems Analyst or technical developer experience on Manhattan WMOS (2010 and 2018).
• 2-3 years of experience with Oracle PL/SQL, including stored procedures/trigger development.
• 2-3 years of experience with technologies and processing environments used to support the Pick, Pack, Ship (PPS) process, such as Warehouse Mgmt, Transportation Mgmt, and Order Mgmt systems; experience with QAD Precision/Trax is also preferred.
• 2-3 years of experience working with Integration technologies and systems, such as XML, webMethods, or Oracle Fusion Middleware (OFM).
• 1-2 years of experience with reporting tools, such as IBM Cognos.
• 1-2 years of experience working with and supporting machine automation systems, such as conveyors, print and apply applicators, in-line weigh scales, and case sealers.
• Strong analytical and problem-solving skills.
• Ability to adapt to evolving technologies and work in a dynamic, fast-paced environment.
• Strong collaboration skills with the ability to also work autonomously.

Working Conditions:

Ability to travel up to 25% international and domestic travel.

Ability to work in an office environment with standard office equipment.

Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.

Compensation and Benefits

The salary range estimated for this position based in California is $103,100.00–$154,700.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

COMPANY: Thermo Fisher Scientific Inc.

LOCATION:                            168 Third Ave., Waltham, MA 02451

TITLE:                                    Scientist III, Data Engineer

HOURS:                                  Monday to Friday, 8:00 am to 5:00 pm

DUTIES:                                 Develop scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
Own and deliver Projects and Enhancements associated with Data platform solutions.
Develop solutions using PySpark/EMR, SQL and databases, AWS Athena, S3, Redshift, AWS APIT Gateway, Lambda, Glue, and other Data Engineering technologies.
Write Complex Queries and edit them as required for implementing ETL/Data solutions.
Implement solutions using AWS and other cloud platform tools, including GitHub, Jenkins, Terraform, Jira, and Confluence.
Follow agile development methodologies to deliver solutions and product features by following DevOps, Data Ops, and Dev Sec Ops practices.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Travel: Up to 5% travel required (domestic and international). Can work remotely or telecommute.

REQUIREMENTS: MINIMUM Education Requirement: Master’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study. MINIMUM Experience Requirement: 3 years of experience as a Data Developer, Data Engineer, or related occupation. Alternative Education and Experience Requirement: Bachelor’s degree or foreign degree equivalent in Technology Management, Information Technology, Computer Science, or related field of study plus 5 years of experience as a Data Developer, Data Engineer, or related occupation. Required knowledge or experience with: Full life cycle implementation in AWS using PySpark/EMR, Athena, S3, Redshift, AWS API Gateway, Lambda, and Glue; Agile development methodologies following DevOps, Data Ops, and Dev Sec Ops practices; ETL Pipelines, GitHub, Jenkins, Terraform, Jira, Bitbucket, and Confluence; Informatica, Databricks, & AWS Glue; Data Lake using AWS Databricks, Apache Spark, & Python; Data visualization tools like PowerBI and Tableau; Data modeling and optimization for OLAP/OLTP systems with Star/Snowflake schemas; Strong knowledge of SQL, query optimization, and performance tuning in Redshift, Snowflake, or Oracle; Experience with CI/CD pipelines for data workflows using Jenkins, GitHub Actions, or AWS CodePipeline; Data governance, cataloging, and lineage using tools such as AWS Glue Data Catalog, Collibra, or Alation; Implementing data security, encryption, IAM policies, and compliance regulatory frameworks; Batch and real-time streaming pipelines using Kafka and Spark Streaming; Managing data governance, access control, and lineage using Databricks Unity Catalog for secure enterprise data sharing; Implementing Delta Lake architecture for ACID transactions, schema enforcement, and scalable data pipelines; Optimizing Delta Live Tables for automated ETL orchestration and reliable data delivery; Ensuring high availability and SLA-driven production support with proactive monitoring, incident management, and root cause analysis; Collaboration with cross-functional teams to translate scientific, laboratory, and business requirements into scalable data solutions.

Salary: $161803 to $186000 per year

Compensation and Benefits

The salary pay range estimated for this position Scientist III, Data Sciences based in Massachusetts is $161,803.00–$186,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

The PPD™ clinical research business of Thermo Fisher Scientific is a leading provider of global CRO solutions to customers in pharmaceutical, biotechnology, medical device, academic and government industries. Our Digital Solutions group is re-designing the clinical research model with purpose-built, CRO-owned technology integrated into every study. Our forward-thinking, AI-enabled solutions accelerate and optimize every phase of the clinical development journey.

Position Summary
The Customer Data Delivery Lead (known internally as IT Director, band 9) serves as a senior sponsor-facing data leader within the Clinical Research Group of Thermo Fisher (CRG) Digital, partnering directly with CRO sponsors and clinical stakeholders to understand their clinical trial data needs and translate those requirements into actionable data solutions.

This role operates at the intersection of clinical trial operations, clinical data, and technology, working closely with sponsors to define meaningful data deliverables that support trial oversight, operational decision-making, and program performance.

The Customer Data Delivery Lead acts as the bridge between sponsor requirements and CRG Digital’s technical and data platform teams—translating clinical and business needs into clear functional requirements and solution designs. While this role collaborates closely with engineering and platform teams, it does not own platform operations or governance, instead focusing on customer engagement, solution definition, and end-to-end delivery coordination.

Reporting to the Head of Data Capabilities, CRG Digital, this role leads Customer Solutions Specialists, BSAs, and cross-functional delivery teams in a matrixed environment to ensure sponsors receive high-quality, timely, and impactful data solutions.

Key Responsibilities
Sponsor Engagement & Clinical Data Partnership

• Serve as the primary data engagement partner for sponsors, building strong relationships with clinical, operational, and analytics stakeholders.
• Engage directly with sponsors to understand their clinical trial oversight, operational reporting, and data access needs, translating these requirements into actionable data solutions.
• Lead structured discovery conversations and working sessions with sponsor teams to clarify business objectives, data requirements, and success measures.
• Collaborate with Customer Success and account teams to support customer discussions, solution workshops, and RFIs, ensuring CRG Digital’s data capabilities align with sponsor needs.
• Provide clear communication with sponsor stakeholders regarding scope, timelines, and delivery expectations.

Solution Design & Requirements Translation

• Translate sponsor business and clinical data needs into clear functional and technical requirements for internal delivery teams.
• Define solution approaches that align sponsor requirements with CRG data sources, systems, and delivery mechanisms, including datasets, dashboards, APIs, or file-based deliverables.
• Act as a clinical data subject matter expert during solution design discussions, ensuring technical teams understand the context and purpose of the data being delivered.
• Partner closely with Business Systems Analysts, data engineers, and platform teams to ensure solution feasibility and alignment with CRG Digital architecture.
• Identify opportunities to standardize repeatable solutions and reusable data packages across sponsor engagements.

Delivery Leadership & Coordination

• Lead the end-to-end coordination of sponsor data deliverables, ensuring alignment between sponsor expectations and internal technical execution.
• Work across CRG Digital teams—including Data Platforms, CRG IT, Customer Success, and business stakeholders—to ensure data is sourced, modeled, and delivered effectively.
• Manage delivery timelines, dependencies, and risks while maintaining clear communication with internal teams and sponsor stakeholders.
• Ensure data solutions are delivered with high quality and meet agreed-upon timelines, SLAs, and acceptance criteria.

Value Realization & Innovation

• Ensure sponsor data solutions deliver meaningful value by supporting improved trial oversight, operational insight, and decision-making.
• Identify patterns across sponsor requests to help develop scalable, repeatable data capabilities that expand CRG’s data delivery offerings.
• Collaborate with product and platform teams to evolve CRG Digital’s data capabilities based on sponsor feedback and emerging industry needs.
• Contribute to data innovation initiatives that improve how sponsors access and leverage clinical trial data.

People & Organizational Leadership

• Lead and develop a team of Customer Solutions Specialists, BSAs, and delivery partners, including both internal team members and external partner resources.
• Foster a customer-first mindset, emphasizing collaboration, accountability, and continuous improvement.
• Provide leadership and coordination across matrixed teams to ensure alignment on priorities and delivery objectives.
• Ensure external partner teams operate as a seamless extension of CRG Digital delivery capabilities.

Experience

• Bachelor's degree or equivalent and relevant formal academic / vocational qualification (Advanced degree preferred).
• 10+ years of experience working with clinical trial data within a CRO, eClinical technology provider, sponsor organization, or digital health/data company.
• At least 5 years of experience in sponsor-facing roles involving clinical data delivery, analytics, or solution design.
• Demonstrated experience translating complex clinical data and operational requirements into technical or analytical solutions.
• Strong understanding of clinical trial operations and associated data ecosystems, including areas such as: Clinical operations, Patient recruitment, Study start-up, Data management, Risk-based monitoring (RBM), Safety and pharmacovigilance
• Experience leading cross-functional delivery teams in global matrix organizations.
• Strong ability to work collaboratively with engineering, data platform, and product teams to deliver complex solutions.

Preferred Qualifications

• Experience working with CRG / PPD clinical systems and data sources.
• Prior experience delivering data or analytics solutions directly to sponsors in CRO environments.
• Familiarity with clinical data standards, interoperability models, or clinical analytics platforms.

Competencies:

Sponsor Partnership & Account Leadership
Builds trusted relationships with sponsor stakeholders and serves as a strategic partner in defining and delivering clinical data solutions.

Clinical Data Fluency
Demonstrates deep understanding of clinical trial operational and subject-level data, including how data is captured, managed, and used to support trial oversight and decision-making.

Solution Design & Technical Translation
Translates sponsor requirements into structured solution designs, identifying relevant data sources, defining requirements, and collaborating with technical teams responsible for implementation.

Delivery Orchestration
Coordinates cross-functional teams to deliver sponsor data solutions efficiently while managing timelines, dependencies, and quality.

Stakeholder Influence & Matrix Leadership
Leads across teams without direct authority, aligning stakeholders across CRG Digital, Data Platforms, Customer Success, and technical teams.

Continuous Improvement & Innovation
Identifies opportunities to streamline delivery processes, standardize common solutions, and improve the overall sponsor data experience.

At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:

• Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
• Able to work upright and stationary for typical working hours.
• Ability to use and learn standard office equipment and technology with proficiency.
• Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
• May require as-needed travel (0-25%).

Location: Remote US (east coast preference). Relocation assistance is NOT provided.

*Must be legally authorized to work in the United States without sponsorship.

*Must be able to pass a comprehensive background check, which includes a drug screening.

The annual salary range estimated for this position in North Carolina is $185,000-215,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.