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Description Education: Preferred: Associate degree in Computer Science, Information Systems, Healthcare Administration, a related field, or equivalent experience. Experience: Required: 2 years of experience in healthcare clinical workflows and/or IT support, including experience with nursing, provider, or ancillary department technologies OR Associate degree in Computer Science, Information Systems, Healthcare Administration, a related field. Skills: • Basic understanding of healthcare operations and clinical workflows • Basic knowledge of inter-related solutions and IT systems knowledge with the aligned application domain. Develops and maintains knowledge of related IT systems as well as supporting business and IT domains. • Basic analytical and problem-solving skills; attention to detail. • Good communication and interpersonal skills. • Ability to work as part of a team. • Willingness to learn and adapt to the healthcare environment. Licensure/Certification/Registration: N/A IT Systems Analyst II: Education: Preferred: Associate degree in Computer Science, Information Systems, Healthcare Administration, a related field, or equivalent experience. Experience: Required: 4 years of experience in healthcare clinical workflows and/or IT support, including experience with nursing, provider, or ancillary department technologies OR Associate degree in Computer Science, Information Systems, Healthcare Administration, a related field. Skills: • Strong knowledge of inter-related solutions and IT systems knowledge with the aligned application domain. Develops and maintains knowledge of related IT systems as well as supporting business and IT domains. • Excellent communication and interpersonal skills with department resources. • Ability to work independently and as part of a team • Strong understanding of operational workflows. • Strong documentation skills. • Ability to lead small to medium size initiatives related to clinical systems improvementsHands on Skills:Configuring Devices: Routers, switches, firewalls, load balancers, and wireless controllers.Troubleshooting Tools: Ping, traceroute, Wireshark, NetFlow, SNMP monitoring.Cabling & Hardware: Fiber, copper, transceivers, patch panels, rack/stack.Must be able to carry 10-15 pounds of equipment and lift into a rack.Networking Fundamentals:Understanding TCP/IP, OSI model, subnetting, VLANs, routing vs. switching, DNS, DHCP, NAT.Protocols & Services: HTTP/S, FTP, SMTP, SNMP, VPNs, VoIP, multicast.LAN/WAN Technologies: Ethernet, wireless standards (802.11), MPLS, SD-WAN.Routing & Switching: Static and dynamic routing (OSPF, BGP), STP, port channels, trunking.Cisco, Aruba, VMWareCertifications strongly preferred: CCNP, CCIE, etc.Licensure/Certification/Registration: N/A

Platform Storage Engineer - Chantilly, VA TS/SCI with CI Polygraph DCI Job Requirement for: AI Platform Engineer Locations: Chantilly, VA Pay: $220,000.00 - $270,000.00 per year Job description: Job Type: Full-time DCI Job Requirement for: AI Platform Engineer Locations: Chantilly, VA Job Description Serves as a Platform Engineer Provide Technical Cluster Management: Design, deploy, secure, maintain, and upgrade scalable Kubernetes clusters Understand control plane components, worker nodes, and their interactions Provide Containerization & Orchestration support Secure Kubernetes environments Diagnose and resolve complex performance issues within Kubernetes Optimize resource utilization, and implement best practices for cluster tuning Troubleshooting issues across the entire Kubernetes stack Design, implement, and maintain robust, automated CI/CD pipelines for: Deploying containerized applications to Kubernetes Provision and manage infrastructure declaratively Use languages like Python, Go, Bash, or similar, to automating tasks Qualifications: BS in Computer Science / Engineering (or related career field) Extensive experience designing, deploying, securing, maintaining, and upgrading: Highly available, scalable Kubernetes clusters Ex. EKS, AKS, GKE, OpenShift, or self-managed) Understanding of control plane components, worker nodes, and their interactions Proficient with Docker and containerization best practices Advanced knowledge of Kubernetes primitives like: Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps Secrets, Persistent Volumes, and Namespaces Strong understanding of Kubernetes networking concepts, policies, meshes Along with DNS within and outside the cluster Expertise in securing Kubernetes environments, including: RBAC and Pod Security Policies/Admission Controllers Vulnerability scanning, secret management Network security Ability to diagnose and resolve complex performance issues within Kubernetes Experience IDing and resolving issues across Kubernetes stack Hands-on experience with popular CI/CD platforms like: Jenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, etc. Ability to design, implement, and maintain robust, automated CI/CD pipelines For deploying containerized applications to Kubernetes, Proficiency with IaC tools such as Terraform, Pulumi, or CloudFormation Experience with Helm charts for Kubernetes packaging and deployment Strong scripting skills in languages like: Python, Go, Bash, or similar Practical experience with GitOps workflows and tools Experience with Prometheus, Grafana, ELK stack/OpenSearch, Datadog, Splunk AWS Certified DevOps Engineer Azure DevOps Engineer Have current IAM Level II to satisfy DOD 8570 IAT requirements Experience: designing, deploying, maintaining Kubernetes clusters: 5 years (Preferred) Kubernetes primitives : 5 years (Preferred) securing Kubernetes environments: 5 years (Preferred) designing, implementing maintaining CI/CD pipelines : 5 years (Preferred) Python and/or Go programming : 5 years (Preferred) Docker and containerization : 5 years (Preferred) Ability to travel up to 20% of the time, as required, to Clearance Requirements Clearance: Active TS/SCI with CI Polygraph Salary: $220,000-$270,000 Compensation details: 00 PIeb40fd0ec43d-0399

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 continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to 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 to business strategies while enabling enterprise efficiency and promoting 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 to prevent harm 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 operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation 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 Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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.

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.

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. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 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.

This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per 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.

The Data Product team is seeking a Manager, Data Product Management to lead instrumentation across the News & Entertainment portfolio of digital products from world-renowned brands such as ABC, ABC News, Marvel, Freeform, FX, and National Geographic, among others. The data collection this team leads is the foundation for measurement across the portfolio - the clickstream telemetry and video consumption signal that determine what the business knows about product engagement and content performance. It's how some of the world's most recognizable brands understand how their content is consumed, which means it has to hold up when decisions get made - and building data the business can trust is at the heart of the work. You'll lead a team of Data Product Managers owning measurement strategy, platform configuration, and self-service enablement across the portfolio's digital and audience-measurement tools - consistently keeping the business on the right stack and evaluating emerging capabilities. You'll be the primary point of contact for senior leaders across both Product & Technology and the Disney Entertainment business, set a clear standard for rigorous measurement work, and own the roadmap for how data collection evolves across the portfolio. If you've held measurement quality across a complex multi-brand portfolio, stayed technical enough to catch what others miss, and stayed ahead of where measurement is heading rather than just reacting to it, we'd like to hear from you. Responsibilities and Duties of the Role : Lead and develop the team, setting the standard for N&E measurement and raising the bar across Product & Technology. Collect with intent - building the data foundation for intelligence about how the business's products and content perform. Own and evolve N&E measurement strategy across editorial, video, and audience measurement, sequencing multi-brand priorities and evaluating emerging capabilities. Drive execution across brands, resolving cross-team dependencies and staying ahead of delivery risk. Bring the technical depth to hold the team to a high bar - pressure-testing implementations, event and schema specs, and quality standards across the measurement stack. Own data quality outcomes across the portfolio, closing coverage gaps before downstream teams do. Ensure stakeholder needs become measurement specs and platform configurations that scale across brands, increasingly AI-assisted and built with engineering. Serve as the single point of contact for senior leadership across N&E's brands, translating their priorities into measurement direction. Partner with Data Engineering, Product Engineering, Product Management, and Business Operations across the N&E portfolio. Manage relationships with enterprise platform partners, ensuring Disney realizes the full value of those investments. Represent the team's strategy to senior leaders across the company. Basic Qualifications 8+ years in data product management, data instrumentation, or digital analytics implementation. Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for both performance and the team's standards. Fluency with AI tools in your own work, and a track record of raising that bar across your team. Deep expertise across enterprise analytics and instrumentation platforms - capable of setting the standard for how the work gets done, not just overseeing it. Strong product sense: you've owned strategy and roadmap for a measurement product or portfolio with clear outcome accountability. Proven ability to represent measurement priorities, tradeoffs, and risks to senior stakeholders across a multi-brand portfolio. Track record of cross-functional execution across Product Engineering, Product Management, Analytics, QA, Research, and Program teams in matrixed organizations. Strong command of the modern cloud data stack and how instrumented data flows downstream. Clear communicator who can make complex technical topics accessible and actionable for any audience, including executives. Preferred Qualifications Experience leading measurement for News, Media, or content-driven digital products at scale: editorial, video, audience measurement, or content performance analytics. Experience managing measurement across a multi-brand or multi-property portfolio with shared quality standards. Data observability experience: monitoring platforms and pipelines for quality, freshness, schema drift, and completeness. Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in consumer-facing products. Experience enabling self-service analytics across a large organization. Advanced degree in Product Management, Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science , Engineering, Business, Analytics, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $179,700 - $241,000 per year, in San Francisco, CA is $187,900 - $252,000 per year, and in Santa Monica, CA and Bristol, CT is $171,600 - $230,100 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.

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 continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to 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 to business strategies while enabling enterprise efficiency and promoting 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 to prevent harm 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 operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation 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 Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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.

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 continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to 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 to business strategies while enabling enterprise efficiency and promoting 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 to prevent harm 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 operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation 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 Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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.

We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.

We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.

Key Responsibilities: Design, develop, and maintain full-stack applications using Python, React, Next.js Build APIs and AI/LLM-powered workflows Collaborate with cross-functional teams of engineers, data scientists, and product leaders Develop CI/CD pipelines, testing, debugging, and code optimization Work with knowledge graphs (Neo4j) and relational databases (PostgreSQL or cloud equivalents) Deploy and manage cloud applications (AWS preferred) using containerization technologies Required Qualifications: Experience supporting defense or government environments, including classified data Active Secret clearance (Top Secret preferred) 7+ years of professional software engineering experience This is a high-impact role where you will work on cutting-edge generative AI platforms, influence product direction, and collaborate with top technical minds. If this aligns with your experience and interests, Id love to discuss it further. Regards, Bilal Uddin - (linkedin) Sr. Federal US IT Recruiter RedBeard Solutions Phone: Website: (link removed)

Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.

We're Hiring Full Stack Engineer Atlanta, GA Only U.S. Citizens are eligible to apply. Hiring Client: Hexaware End Client: Fannie Mae Location: Atlanta, GA Role: Full Stack Engineer Open Positions: 40 Salary: Up to $110K + Benefits Hiring Drive: August 8 & 9, 2026 (Weekend) Key Responsibilities: Design, develop, and maintain full stack applications using Java, Angular, and AWS Build and enhance external-facing web applications with a focus on performance and scalability Develop frontend UI components and backend Java services Work with GitHub, pull requests, and code reviews Build and maintain automated tests across UI and backend layers Support AWS cloud development, deployment, and optimization Troubleshoot and provide production support for mission-critical applications Required Skills: Strong experience with Java, Angular, and AWS Experience developing external-facing applications Hands-on experience with test automation and end-to-end validation Experience with GitHub and collaborative development workflows Strong problem-solving and analytical skills Preferred: Experience with GitHub Copilot Capital Markets domain experience If you're interested and meet the above requirements, send your updated resume to

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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.

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. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 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.

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. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: The Data Product team is seeking a Principal, Data Product Management to own the strategy and long-term vision for a critical suite of data collection solutions across a global portfolio of digital products, defining the future of data collection as an enterprise capability. The collection layer sets the quality and reliability of every downstream analytics output, every experiment, and every model that depends on it across Disney Entertainment & ESPN. Decisions here carry portfolio-wide consequences, and making them well takes dedicated Principal-level ownership. You'll own the product roadmap spanning the solutions we run with longstanding strategic partners and the capabilities we build and scale ourselves, delivering world-class data collection across web, mobile, and connected devices. You'll serve as the product counterpart to the Data Engineering and Product Engineering teams who build and maintain the platform, and lead cross-organizational initiatives. Equally important, you'll define what data collection at Disney needs to become, not just how to evolve what exists today. If you've operated at the domain level in ambiguous, precedent-free environments, driven architectural decisions at enterprise scale, and built the organizational confidence to make long-term platform bets, we'd like to hear from you. Responsibilities and Duties of the Role: Own the long-term strategy and vision for data collection, across partner-run solutions and the platforms we build ourselves. Continuously evaluate the market and make principled build-vs-buy calls as the technology shifts. Be the product counterpart to Data Engineering on roadmap, sequencing, and tradeoffs, staying hands-on. Lead and influence across the org without formal authority, resolving high-stakes conflicts and informing durable, long-term decisions. Support data quality and the operating model at the source, keeping collected data reliable and auditable. Identify the highest-leverage problems before they're defined and deliver where no established approach exists. Translate requirements into scalable platform capabilities: schemas, standards, and contracts, increasingly AI-assisted. Mentor PMs across Data Product and partner teams, raising the bar for sophistication and AI-assisted ways of working. Required Education, Experience/Skills/Training: Basic Qualifications 10+ years in Data Platform Product Management, Data Instrumentation, or a closely related technical product discipline. Domain- or portfolio-level outcome ownership at enterprise scale; feature-level data-platform PM experience is not sufficient for this role. Platform or infrastructure product strategy driven in close partnership with Engineering, hands-on in architecture and schema design. Hands-on production experience with data collection platforms (tag management, web data-layer, CDP-style), and the judgment to evaluate and choose between them. Experience defining enterprise data contracts, schema registries, and governance standards in multi-producer, multi-consumer environments. A track record of building new structures or capabilities in high-ambiguity, precedent-free environments, not just enduring them. Proven ability to influence roadmap and investment decisions without direct authority across multiple organizations. Experience mentoring multiple PMs across teams, with demonstrated impact on their judgment or trajectory. Fluency with AI tools in your own work, and a track record of raising that bar across the PMs you influence. Familiarity with the modern cloud data stack and how collection quality and schema choices affect downstream analytics, ML, and BI. Proficiency in SQL and/or Python for data validation, schema verification, and troubleshooting. Executive-level communicator, equally clear with engineers and senior leaders, who resolves disagreements through reasoning, not rank. Preferred Qualifications Data observability experience: monitoring pipelines for quality, freshness, schema drift, and anomalies. Experience evaluating or leading enterprise technology transitions: build-vs-buy, platform migration, and the change management involved. Familiarity with downstream ML and AI data requirements: what makes collected data usable as training signal or feature input. Strong grasp of data governance, privacy, and consent (GDPR, CCPA) and how regulation shapes collection architecture. Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience. The hiring range for this position in New York City, NY is $197,400 - $264,700 per year, in San Francisco, CA is $206,400 - $276,700 per year, and in Santa Monica, CA and Bristol, CT is $188,400 - $252,600 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 Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIc5b0b43690ba-1158

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. 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. Job Summary: The Ad Serving Engineering organization within Disney Entertainment and the ESPN organization is responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Digital Advertising Platform. The platform is charged with the qualification, delivery, and tracking of Digital Advertising campaigns (Video on Demand, Live TV, and innovative interactive ads) across all of Disney online properties, including Hulu, Disney+, and ESPN+. In addition, Ad Serving teams collaborate in the development of supporting components, such as anti-ad fatigue systems, impression counting pipelines, and ad experience flows. We also work on integrations with critical services responsible for the entitlements, correct pacing, targeting, selection of ads, and third-party systems. As part of the Decisioning Fleet, you will directly contribute to optimizing ad qualification and selection to make sure viewers always see the right ad at the right time. You will also help build tools that analyze what ads are competing for slots for ad breaks across Hulu, Disney+, ESPN, and others. As a Senior Full Stack Software Engineer (P3) on our team, you'll leverage your technical expertise to design and deliver scalable, performant, and maintainable solutions that directly impact the stability and quality of Disney's ad delivery systems. Daily, you should bring: A willingness and desire to effectively communicate and collaborate across teams and systems. An understanding of the importance of project ownership. A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment. An understanding of micro-service encapsulation and loose coupling, and why they are important. An understanding of how to define technical and operational metrics to measure system health and to manage risk. Use AI tools responsibly to improve productivity while adhering to company policies. Kindness and pragmatic optimism. Responsibilities: Design, implement, and test solutions for high-throughput, low-latency microservices. Enhance observability with metrics, monitoring, and alerting. Translate product requirements into actionable engineering tasks. Take ownership of one or more of the team's domain areas. Integrate AI-assisted development practices into daily workflows. Participate in On-Call rotations per team escalation policy. Basic Qualifications: BS or MS in Computer Science / Engineering or relevant work experience. 5+ years of software engineering experience. Proficiency with Java. Experience with ReactJS or similar frontend frameworks, with the ability to quickly pick up new technologies. Demonstrable analytical / problem-solving skills. Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Preferred Qualifications: Experience with: SpringBoot and related Spring projects. Modern frontend development practices Non-relational database technologies like DynamoDB. Caching datastores such as Redis, ValKey or MemCache. Data Streaming Mechanisms such as Apache Kafka and/or Kinesis. Cloud platforms such as AWS. Modern DevOps tools such as Terraform, Docker, and Kubernetes. Familiarity with AI productivity tools and their application in software development. Domain knowledge in Ad Tech. Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in San Francisco, Santa Monica, Glendale, or Seattle The hiring range for this position in Los Angeles, California is $141,900 to 190,300 per year, Seattle, WA is $148,700 to $199,400, and San Francisco, CA is $155,400 to $208,400 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.

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working here: Building the future of Disney's Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API's and mobile applications that will power Disney's media, advertising, and distribution businesses. Reach and Scale: The products and platforms this group builds and operates on delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Engineering, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Quality Engineering team validates all work before production, including web, mobile, living room applications, media, services, non-consumer-facing products and more. As a member of our team, you will strive to accomplish the following goals: Contributing to the successful implementation of solutions for complex technical problems with DE &ET engineering teams Owning the development and maintenance of one or more functional areas of test automation and tooling, execution environments, build systems and tooling used across multiple products Contribute to the successful design & implementation of one or more project features with input from senior engineers Check-in valuable, clean code daily that adds new features and capabilities Becoming a member of our Quality Engineering team, increasing quality through innovation, automated test creation, curiosity, and thoughtful debate. Responsibilities: Work with engineering teams to implement a full stack quality solution. Develop test automation frameworks, CI/CD infrastructures, build systems, and reporting tools to support flagship streaming mobile apps D+ and Hulu. Maintain documentation meant for end user consumption as well as project contributor documentation. Supplying end-user and developer training on automation tools and frameworks. Investigating and resolving any framework or execution of environmental issues affecting our services. Becoming a core member of our Platform & Date Engineering team, helping others increase productivity through innovation, and championing the core value of Disney Quality Basic Qualifications: Bachelor's degree and/or equivalent work experience Minimum of 3 years of related work experience in software development, including test automation for both front-end and back-end services Minimum of 1 year of experience in test automation and unit testing frameworks for iOS or Android apps Proficiency in object-oriented design and expertise in one or more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time Strong verbal and written communication skills, with an elevated level of motivation and a self-starting attitude Preferred Qualifications: Experience delivering production iOS/Android apps Experience developing applications in cloud platforms (e.g., AWS) Experience working with cloud-based testing infrastructures (e.g., SauceLabs) Experience working with Agile methodologies Experience working with Docker, Kubernetes, Spinnaker, and continuous integration/delivery systems Experience writing Gherkin syntax to facilitate the development of automated test scenarios Experience developing advanced mocking mechanisms (e.g., rule-based proxies and dummy-services) Experience with test suite/case/run management tools (e.g., JIRA Xray, etc.) The hiring range for this position in Seattle, WA is $102,100 to $136,900 per year, and in Los Angeles, CA is $97,500 to $130,700 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.