52 jobs found

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 engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency. Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership. Responsibilities: Strategic Quality Leadership Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines. Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.). Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders. Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives. Architecture & Technical Authority Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention. Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing. Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies. Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines Cross-Functional Influence & Mentorship Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions. Build consensus across product teams for standardization of test tools, frameworks, and reusable components. Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership. Represent DEEP & Technology quality interests within company-wide engineering and business forums. Program Management & Delivery Excellence Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments. Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs. Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability. Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements. Lead efforts to mature organization's quality posture in performance, security, and reliability engineering. Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality. Minimum Qualifications: Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments Passion around driving best practices in the testing space Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Proven expertise architecting and scaling test automation for distributed, cloud-native systems Track record of influencing enterprise strategy and leading transformation initiatives Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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. 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 engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency. Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership. Responsibilities: Strategic Quality Leadership Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines. Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.). Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders. Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives. Architecture & Technical Authority Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention. Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing. Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies. Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines Cross-Functional Influence & Mentorship Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions. Build consensus across product teams for standardization of test tools, frameworks, and reusable components. Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership. Represent DEEP & Technology quality interests within company-wide engineering and business forums. Program Management & Delivery Excellence Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments. Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs. Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability. Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements. Lead efforts to mature organization's quality posture in performance, security, and reliability engineering. Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality. Minimum Qualifications: Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments Passion around driving best practices in the testing space Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Proven expertise architecting and scaling test automation for distributed, cloud-native systems Track record of influencing enterprise strategy and leading transformation initiatives Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 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.

About the Role 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. At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are seeking a Principal Enterprise Architect to lead through influence - shaping strategy, driving enterprise alignment, and guiding our most critical technology initiatives across the Commerce, Ticketing, and Guest Experience domains. This is not an ivory-tower role. Our Principal Architects work shoulder-to-shoulder with business leaders, solution teams, and technologists to connect strategy with execution. The ideal candidate blends executive presence, architectural depth, and collaboration mastery, inspiring teams to deliver technology that scales the Disney magic globally. What You Will Do Lead Through Influence: Operate as a senior advisor and strategic influencer to executives and domain leaders, helping align technology investments with business outcomes. Advance Repository Practices: Ensure architectural metadata and taxonomy integrity within the BlueDolphin repository, enabling enterprise transparency and decision support. Foster Collaboration: Build partnerships with Product, Engineering, Operations, and Security teams to co-own outcomes, not dictate them. Mentor and Inspire: Coach solution architects across federated business domains to raise the bar on architecture quality, reusability, and scalability. Communication and Influence: Translate architectural strategy into compelling business narratives that resonate with executive audiences and technical teams alike. Champion Modernization and Platform Thinking: Lead initiatives that simplify, modernize, and integrate platforms across Commerce, Payments, Ticketing, and Entitlements. Balance Short-Term Delivery with Long-Term Strategy: Facilitate informed trade-offs, track technical debt decisions, and ensure alignment with enterprise objectives. What We're Looking For: Required Qualifications & Skills Bachelor's degree in computer science, Information Technology, or related field required. 10+ years of increasing levels of responsibility in architecture-oriented roles. 5+ years of experience as an Enterprise Architect 8+ years of Software Engineering experience across multiple languages, both front-end and back-end. Expertise with enterprise architecture repository tools (e.g., tools similar to BlueDolphin or LeanIX) Strong leadership experience mentoring architecture teams Proven ability to influence without authority across technical and business domains Experience defining and applying metadata models, taxonomy relationships, and governance Demonstrated ability to lead cross-domain architectural initiatives and guide decision processes Understanding of both front-end and back-end technologies Excellent communication skills with the ability to explain technical decisions to business stakeholders Deep understanding of governance frameworks (TOGAF or similar) and experience if Architecture Review Board both reviewing and presenting Experience developing and managing architecture taxonomies, patterns, and standards. Proven ability to align architecture with strategic objectives, OKRs, and scorecards. Hands-on familiarity with cloud platforms (AWS, Azure, GCP), API-led integration, security-by-design, and data architecture principles. Experience integrating emerging platforms or modernizing legacy systems at scale. Evaluate emerging technologies within your area of expertise to guide strategic recommendations. Shape scalable architectures and support planning for complex enterprise projects. Collaborate with cross-functional teams and stakeholders to define requirements and influence technical direction. Core Leadership Capabilities Demonstrate executive presence: can influence VP and SVP level leaders without authority. Proven collaboration leader who mobilizes teams across organizational boundaries. Skilled storyteller who can articulate the "why" behind architectural direction in simple, business-relevant terms. Diplomatic and pragmatic - a trusted advisor who aligns people as effectively as systems. Business and Cultural Alignment Thrives in a federated, creative, and high-visibility environment, where technology enables storytelling and guest experience. Comfortable operating in matrixed organizations and partnering with multiple business units. Exceptional written and verbal communication skills - clear, concise, and outcome-oriented. Preferred Qualifications 6+ years of experience in an organization architecturally supporting commerce, payments, ticketing, or entitlements domains Advanced degree in Computer Science or similar (MBA, MS) preferred. Experience delivering architecture in platform-oriented and product-led organizations Background in API design and messaging standards Knowledge of security-by-design principles and secure architecture practices Experience integrating SaaS solutions and working with cloud platforms (AWS, Azure, GCP) Familiarity with architecture maturity models and scorecards Certifications such as TOGAF, ArchiMate, or equivalent enterprise architecture frameworks are desirable. 8+ years of experience working with cloud vendors 8+ years of experience with databases (relational and non-relational) Experience with SaaS vendor implementations Experience with messaging patterns and API design best practices Experience implementing security best practices and security-by-design The Ideal Candidate A Principal Enterprise Architect at Disney Experiences: Thinks strategically like an executive and acts pragmatically like a builder. Is as comfortable on stage presenting to VPs as in workshops with engineers. Believes architecture is a team sport - driven by collaboration, context, and clarity. Measures success not by control, but by influence and adoption. The hiring range for this position in Orlando, Florida is $175,000-$210,000 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.

Principal Software Engineer, Media Architecture 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: 1.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. 2.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. 3.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Job Summary: We are redefining how streaming media is delivered, experienced, and scaled across a global ecosystem. From live and linear streaming to VOD workflows, advertising integrations, metadata platforms, and playback clients, our mission is to build a cohesive, high-performing media platform that powers world-class viewer experiences. We are seeking a Principal Software Architect to operate at the intersection of strategy and execution, shaping end-to-end solutions across the Media Engineering ecosystem. This role is not confined to a single domain. You will architect systems that span ingest, processing, orchestration, distribution, and playback across platforms such as Disney+, Hulu, and ESPN. This is a hands-on architecture role for a technical leader who can define vision, influence at scale, and dive deep into code and design when needed. What You'll Do Architecture & Technical Strategy Define and drive end-to-end solution architecture across Live, Linear, and VOD streaming workflows. Establish architectural patterns that unify media ingest, processing, metadata, ads, distribution, and playback ecosystems. Lead cross-domain design for integrations with Ad platforms, metadata services, rights systems, and client applications. Contribute to long-term technical strategy, ensuring scalability, resiliency, and cost efficiency across the media supply chain. Cross-Functional Leadership Partner with Engineering, Product, Program Management, and stakeholders teams to deliver cohesive platform solutions. Influence technical direction across multiple teams and organizations without direct authority. Lead architecture reviews, drive alignment, and resolve complex cross-system challenges. System Design & Implementation Design and document high-scale, distributed systems supporting millions of concurrent streams and global content distribution. Contribute to implementation where necessary, including prototyping, coding, and validating architectural decisions. Author clear architectural artifacts including solution designs, system diagrams, and technical proposals. Operational Excellence Champion best practices in observability, reliability, performance optimization, and cost management. Guide teams in building resilient systems with strong SLAs/SLOs. Use metrics and data to continuously improve system performance and user experience. Innovation & Continuous Improvement Challenge existing architectures and introduce modern approaches to evolving platform capabilities. Stay ahead of industry trends in streaming technologies, ad tech, and media workflows. Drive iterative improvements across systems, workflows, and developer experience. Basic Qualifications 10+ years of experience in software engineering, with significant time in architecture and distributed systems design. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Proven experience designing and scaling high-throughput, low-latency systems in a cloud environment. Strong proficiency in one or more languages such as Java, Python, or similar. Deep understanding of microservices architecture, event-driven systems, and API design. Experience with AWS or similar cloud platforms, including services such as S3, DynamoDB, Kinesis, SNS/SQS, or Kafka. Strong foundation in data modeling, system design, and performance optimization. Ability to write production-quality code and contribute hands-on when needed. Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams. Preferred Qualifications Experience with media streaming systems, including Live, Linear, and VOD workflows. Knowledge of video delivery protocols (HLS, DASH), encoding/transcoding pipelines, and CDN distribution. Experience with media player and client integrations for video playback Familiarity with Ad Tech ecosystems, including SSAI, and ad decisioning systems. Experience working with player/client technologies across web, mobile, and connected devices. Exposure to machine learning applications in media workflows (e.g., content enrichment, personalization). Prior experience operating in a large-scale streaming platform environment. What Sets You Apart You think in systems, not silos, and can connect architecture across domains. You balance vision with execution, capable of both defining strategy and delivering outcomes. You are a force multiplier, elevating teams through influence, clarity, and technical leadership. You are comfortable operating in ambiguity and driving alignment across complex organizations. Product Engineering 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. The hiring range for this position in NY, NY is $197,400 to $264,700 per year and in Santa Monica, CA is $188,400 to $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.

We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.

Principal Software Engineer, Media Architecture 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: 1.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. 2.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. 3.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Job Summary: We are redefining how streaming media is delivered, experienced, and scaled across a global ecosystem. From live and linear streaming to VOD workflows, advertising integrations, metadata platforms, and playback clients, our mission is to build a cohesive, high-performing media platform that powers world-class viewer experiences. We are seeking a Principal Software Architect to operate at the intersection of strategy and execution, shaping end-to-end solutions across the Media Engineering ecosystem. This role is not confined to a single domain. You will architect systems that span ingest, processing, orchestration, distribution, and playback across platforms such as Disney+, Hulu, and ESPN. This is a hands-on architecture role for a technical leader who can define vision, influence at scale, and dive deep into code and design when needed. What You'll Do Architecture & Technical Strategy Define and drive end-to-end solution architecture across Live, Linear, and VOD streaming workflows. Establish architectural patterns that unify media ingest, processing, metadata, ads, distribution, and playback ecosystems. Lead cross-domain design for integrations with Ad platforms, metadata services, rights systems, and client applications. Contribute to long-term technical strategy, ensuring scalability, resiliency, and cost efficiency across the media supply chain. Cross-Functional Leadership Partner with Engineering, Product, Program Management, and stakeholders teams to deliver cohesive platform solutions. Influence technical direction across multiple teams and organizations without direct authority. Lead architecture reviews, drive alignment, and resolve complex cross-system challenges. System Design & Implementation Design and document high-scale, distributed systems supporting millions of concurrent streams and global content distribution. Contribute to implementation where necessary, including prototyping, coding, and validating architectural decisions. Author clear architectural artifacts including solution designs, system diagrams, and technical proposals. Operational Excellence Champion best practices in observability, reliability, performance optimization, and cost management. Guide teams in building resilient systems with strong SLAs/SLOs. Use metrics and data to continuously improve system performance and user experience. Innovation & Continuous Improvement Challenge existing architectures and introduce modern approaches to evolving platform capabilities. Stay ahead of industry trends in streaming technologies, ad tech, and media workflows. Drive iterative improvements across systems, workflows, and developer experience. Basic Qualifications 10+ years of experience in software engineering, with significant time in architecture and distributed systems design. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Proven experience designing and scaling high-throughput, low-latency systems in a cloud environment. Strong proficiency in one or more languages such as Java, Python, or similar. Deep understanding of microservices architecture, event-driven systems, and API design. Experience with AWS or similar cloud platforms, including services such as S3, DynamoDB, Kinesis, SNS/SQS, or Kafka. Strong foundation in data modeling, system design, and performance optimization. Ability to write production-quality code and contribute hands-on when needed. Excellent communication skills with the ability to influence senior stakeholders and cross-functional teams. Preferred Qualifications Experience with media streaming systems, including Live, Linear, and VOD workflows. Knowledge of video delivery protocols (HLS, DASH), encoding/transcoding pipelines, and CDN distribution. Experience with media player and client integrations for video playback Familiarity with Ad Tech ecosystems, including SSAI, and ad decisioning systems. Experience working with player/client technologies across web, mobile, and connected devices. Exposure to machine learning applications in media workflows (e.g., content enrichment, personalization). Prior experience operating in a large-scale streaming platform environment. What Sets You Apart You think in systems, not silos, and can connect architecture across domains. You balance vision with execution, capable of both defining strategy and delivering outcomes. You are a force multiplier, elevating teams through influence, clarity, and technical leadership. You are comfortable operating in ambiguity and driving alignment across complex organizations. Product Engineering 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. The hiring range for this position in NY, NY is $197,400 to $264,700 per year and in Santa Monica, CA is $188,400 to $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.

We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications Prior Sr. Principal Architect or CTO-level technical leader 812 years in modern SaaS (not necessarily 25+ years) Built 3+ successful SaaS products Personally shipped AI into production code (not just AI strategy or governance) Deep understanding of: Tokenization/token costs Model selection (GPT, Claude, Gemini, open-source models) Prompt engineering RAG Vector databases AI agents/MCP Experience with SMB, dealer networks, or marketing services is a plus. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX or Dayton (Beavercreek), OH facilities. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Must be willing to travel. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. This includes electrical, mechanical, firmware, software, and AI/ML. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.

DCS Corp has an exciting opportunity for a position providing GEOINT Systems Engineer Support - Imaging and Targeting Support (I&TS) to the Air Force Life Cycle Management Center/PEO Intelligence, Surveillance, and Reconnaissance / Special Operation Forces (ISR/SOF) Directorate (AFLCMC/WI). This position will support the AFLCMC/WIN ISR Sensors Division. Essential Job Functions: The Candidate will provide support to Imaging and Targeting Support (I&TS) including airborne ISR engineering responsibility for performing analysis and making recommendations for the Next Generation U-2 Electro-Optical/Hyperspectral Sensor. The Candidate will assist with defining system specifications, input/output processes, parameters to meet business requirements, and hardware/software compatibility. The Candidate will assist in developing and leading technical projects. The Candidate will assist with fact-finding and research as required for the project. The Candidate will assist with designing test and evaluation requirements based on research and analysis. The Candidate will assist with establishing and recommending changes to the program which affect performance and advise the Government team and management on matters concerning hardware, software, and future upgrades. The Candidate will assist with reviewing system interface documentation and technical specifications for AFLCMC/WIN. The Candidate will interface with all levels of management and personnel and provide acquisition technical and management expertise with a strong background in planning, organizing, and coordinating various types of programs. The Candidate will assist with executing engineering design on various systems to include requirements definition and design evaluation. The Candidate will assist with integrating technology with operational requirements to improve weapons system capability and supportability. The Candidate will assist with test planning, data analysis and technical reporting. The Candidate will apply the principles, criteria, and procedures of the DoD to include DoD 5000.01 and DoD 5000.02 as well as the policies and processes of USAF, HQ AFMC, AFLCMC Engineering Directorate, ISR & SOF Directorate and Division level to all AFLCMC/WIN engineering tasks. The Candidate will perform data gathering, data entry, and data analysis, as well as apply knowledge of the acquisition process. The Candidate will provide operationally relevant GEOINT engineering services to assist with technology development activities that identify, analyze, evaluate, test, and implement new capabilities for potential incorporation into the intelligence collection architecture. The Candidate will assist with integrating preplanned improvements or follow-on capabilities to candidate sensors for existing or emerging platforms and sensor data with current exploitation elements as required to execute the T&E mission, to include but not limited to the following activities: I&TS, Reduction of Data Using Compression Enhancements (RDUCE), Synthetic Aperture Radar (SAR), as well as other emerging next generation imaging sensor development programs managed by AFLCMC/WIN such as those under the High Altitude Long Range GEOINT Capabilities (HALRGC) study, Laser Radar/Light Detection and Ranging (LADAR/LIDAR) study, and Hyperspectral Imaging, and EO/IR sensor designs. Engineering services will be provided with commensurate expertise in GEOINT technology areas, DoD acquisition, and system engineering processes. The Candidate will assist in translating DoD user requirements into system requirements which will be used by the weapon system contractor to design, develop, fabricate, test, and evaluate systems, subsystems, and equipment for deployment. The Candidate will assist in performing technical/mission analyses of operational requirements, assist in developing system concepts, and perform technological/trade-off study assessments of proposed designs. The Candidate will assist in reviewing the overall system design baseline (architecture and interoperability requirements). The Candidate will assist in the areas of integrated subsystem controls, environmental control, thermal management, auxiliary and emergency power, mechanical systems, and fire/overheat protection systems. The Candidate will assist with processes for drafting project documentation, including SOOs and SOWs, program plans, schedules, and presentations. The Candidate will assist in drafting documentation required by regulations and statues, to include but not limited to the SEP and LCSP. The Candidate will assist with reviewing documents and data and providing comments. The Candidate will assist test teams in the development of test requirements and reviewing test plans. The Candidate will assist in reviewing and analyzing technical proposals or modifications for cost, design feasibility and system compatibility. The Candidate will assist in reviewing specifications, including system, system segment, and equipment specifications, and ICDs submitted by the weapon system contractor or other DoD agencies involved in the program. The Candidate will assist in supporting and conducting engineering performance, effectiveness, cost effectiveness, cost performance, life-cycle cost, producibility, maintainability, supportability, reliability, technical/schedule risk assessment, and scheduling trade-off studies. The Candidate will assist in the support and conduct of systems analyses to include system design/design feasibility and state-of-the-art assessment. The Candidate will assist in supporting the evaluation of IMP, IMS, and SEDS engineering cost estimates. The Candidate will assist in the evaluation of systems test plans (such as systems test plans/test and evaluation master plans) and participate in the conduct of system, subsystem, and component testing. The Candidate will provide systems/subsystems integration support for the acquisition, development, and verification of systems and equipment. The Candidate will assist in the development of integration plans, interface management and control plans, and integration test plans. The Candidate will assist in conducting analyses and trade studies to define interface requirements, establishing cost effective interface design solutions, and resolving interface problems. This support will include assisting in the review of ICDs, participation on appropriate ICWG activities, tracking status of ICD development and problem resolution. The Candidate will assist in review of integration test plans, procedures, and data. The Candidate will assist in special studies to define alternative interface/integration approaches. The Candidate will assist in DoD and Air Force system-of-systems acquisition engineering processes. The Candidate will assist in sensor development and integration on manned or unmanned air vehicles. The Candidate will assist in areas such as integrated subsystem controls, avionics, communications/data link integration, and electrical power integration. The Candidate will assist in producing architectures which assess the user needs, document the planned and existing systems intended to meet the needs, determine deficiencies, develop alternative solutions, and recommend a solution to meet the deficiencies. The Candidate will assist in developing a plan to implement the chosen solution. These architectures could cover a command's need, such as, GEOINT systems for an advanced aircraft, system architecture need for a multi-user GEOINT systems or GEOINT mission sub-area architectures for strategic, tactical, and support communication systems. The Candidate will assist in engineering support including defining GEOINT system and subsystem requirements, system analysis, integration, test, and evaluation activities and identifying potential related projects to GEOINT programs. The Candidate will assist in the technical and management aspects of GEOINT requirements. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Master's or Doctorate Degree in a related field and at least 20 years of experience, 12 years of which must be in the DoW/DoD; Bachelor's degree and 25 years of experience in the respective technical/professional discipline being performed, 15 years of which must be in the DoW/DoD; or 30 years directly related experience, 20 years of which must be in the DoW/DoD. The candidate's Bachelor's degree in Engineering is required to be from an ABET accredited program. An adjudicated DoD Top Secret/SCI Security clearance on the First Day of employment. This is a Principal level position. The candidate must possess expert knowledge, experience, and recognized ability to be considered an industry leader in their technical / professional field. Typically performs the following kinds of functions: initiates, oversees, and/or develops requirements from a project's inception to conclusion for complex to extremely complex programs; provides strategic advice, technical guidance, and expertise to program and project staff; provides detailed analyses, evaluations, and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; consults with client to define needs or problems; oversees studies; and leads surveys to collect and analyze data to provide advice and recommend solutions. Possesses the ability to perform tasks and oversee the efforts of junior, journeyman, and senior contractor personnel within and across multiple technical / professional disciplines. (Program Office, Enterprise, Staff and Executive Level Support interface).

Job Title: Lead LIMS Developer (Java & SAPIO LIMS) Overview / Summary We are seeking a Lead LIMS Developer to provide technical leadership for a new Laboratory Information Management System (LIMS) modernization initiative. During the first year, this position will primarily focus on the design and delivery of a new LIMS modernization program in its initial planning and discovery phase. The ideal candidate will bring strong thought leadership, strategic thinking, solution design expertise, and the ability to translate healthcare and laboratory operational needs into scalable technical solutions. This role will partner closely with laboratory operations, healthcare stakeholders, quality assurance, product owners, architects, and development teams to define the future-state LIMS environment. The Lead will guide technical design, establish development standards, evaluate solution options, conduct architecture and code reviews, and remain actively involved in hands-on development and problem resolution. Direct healthcare, laboratory, and LIMS experience is required. Key Responsibilities Lead the design, architecture, and implementation of SAPIO LIMS and/or LabVantage solutions. Translate laboratory and business requirements into scalable workflows, integrations, and data models. Design and optimize laboratory processes, including sample management, testing, results review, approvals, and exception handling. Architect integrations with laboratory instruments, healthcare systems, ELN, SDMS, CDS, and enterprise platforms. Develop and oversee APIs, microservices, custom configurations, business rules, and platform extensions. Establish technical standards, development best practices, and architecture governance. Conduct architecture reviews, code reviews, performance tuning, and technical quality assessments. Lead onshore and offshore engineering teams while mentoring developers and driving technical excellence. Ensure compliance with GxP, 21 CFR Part 11, ALCOA+, data integrity, security, and regulatory requirements. Support Computer System Validation (CSV) activities, including URS, FRS, Traceability, IQ/OQ/PQ, and audit readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of software engineering or enterprise application development experience. Extensive Java development experience with Spring and Spring Boot. Strong hands-on experience with SAPIO LIMS and/or LabVantage. Experience with Python (Flask, Django, or FastAPI). Proven experience leading LIMS implementations, upgrades, or modernization programs. Experience in healthcare, clinical laboratory, diagnostics, pharmaceutical, or biotechnology environments. Expertise in REST APIs, microservices, system integrations, and backend architecture. Experience with AWS and/or Azure cloud platforms. Strong knowledge of SQL/NoSQL databases, data modeling, and enterprise integration patterns. Experience with architecture reviews, troubleshooting, root-cause analysis, and performance optimization. Knowledge of CSV, regulated SDLC practices, GxP, 21 CFR Part 11, and ALCOA+. Excellent communication, stakeholder management, and leadership skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Genesis10 is currently seeking a Principal Data Engineer - Remote for a contract position with a Leading Pharmacy Benefit Manager located in MN. This is a long-term contract opportunity. Compensation: W2: $110.00 - 130.00 per hour IC/C2C: $120.00 - 150.00 per hour Position Overview: Join a highly collaborative engineering team that is building next-generation cloud data platforms while embracing modern AI-assisted development. You'll work alongside exceptionally talented engineers who are solving complex, large-scale data challenges and helping shape the future of data engineering within the organization. We're looking for a technically exceptional engineer who combines deep hands-on expertise with the executive presence to influence technical direction, mentor peers, and build trust across engineering and business teams. The ideal candidate is equally comfortable architecting complex solutions, writing production code, and helping others succeed through thoughtful communication and leadership. Key Responsibilities: Design, develop, and support scalable cloud-native data platforms and real-time data pipelines Build and maintain ETL/ELT and streaming data pipelines using Apache Beam, Apache Airflow, Google Cloud Dataflow, Google Cloud Composer, Python, Java, and SQL Develop and support enterprise streaming solutions using Apache Kafka Design and optimize cloud-based data storage solutions using Google BigQuery and Google Cloud Storage Ensure technology solutions meet resiliency, scalability, security, operational readiness, and performance requirements Provide technical leadership, mentorship, and guidance to 10 junior and mid-level engineers Lead by example through hands-on software development while helping establish engineering standards and best practices Partner closely with Product Owners, Architecture, Infrastructure, and Security teams to design scalable enterprise solutions Own technology roadmaps, production support, monitoring, alerting, platform health, and long-term sustainability Champion Agile software development, DevOps, CI/CD, and modern engineering practices Translate complex business requirements into scalable technical solutions Participate in technical design discussions, architecture reviews, and code reviews Primary Requirements: Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent experience High School Diploma or GED required 8+ years of experience in Data Engineering, Software Engineering, or Application Development Proven experience designing, building, and supporting enterprise cloud data platforms Recent, hands-on experience with Google Cloud Platform (GCP) including Google BigQuery, Google Cloud Storage, Cloud Composer, Dataflow, Dataplex, and Apache Beam Strong programming experience with Python and SQL Java experience preferred but not required Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., GitHub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies. Hands-on experience developing orchestration workflows using Apache Airflow and/or Cloud Composer Direct experience building production data pipelines using Apache Kafka (required) Experience with CI/CD, GitHub, and modern DevOps practices Proven ability to mentor engineers, influence technical direction, and lead without direct authority Ability to balance hands-on development with technical leadership responsibilities Experience working in Agile software development environment Desired Skills: Master's Degree in Computer Science, Engineering, Data Science, Statistics, or related field Google Cloud Platform certifications Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., GitHub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies. Side projects or professional experience leveraging AI to improve engineering productivity Experience with Google Dataplex and enterprise data governance Experience with Google Looker Studio and/or IBM Cognos Experience working within HIPAA, PCI, or other regulated environments Previous healthcare, PBM, or financial services experience Architecture and technical strategy experience Demonstrated "lead-by-example" leadership style Strong mentoring, coaching, and cross-functional collaboration skills Executive presence with the ability to influence teams through communication, patience, and technical credibility If you meet the qualifications described and are interested in this exciting opportunity, apply today! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years. The opportunity to have a home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as the Best Company for Work-Life Balance, and as the Best Company for Career Growth, Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Principal Software Engineer Location: Remote (within the US) Employment Type: Contract (6 Months) with potential contract extensions Pay Rate: $100 to $115 per hour (W2) Industry: Global Medical Technology & Manufacturing Note: No Corp-to-Corp (C2C) or visa transfer. No visa sponsorship. Only open to W2 employment. Job Description As a Principal Engineer, you will lead the development of a digital twin environment for advanced Robotics and Enabling Technology applications. This work includes migrating the existing Mako OR simulator to NVIDIA Isaac Sim and expanding the simulation environment to support operating room (OR) layout optimization, robotic system simulation, sensor simulation, and future AI model development for intra-operative use cases. You will collaborate closely with clinical application, robotics, and software engineering teams to establish a representative simulation environment for the Mako robotic system and related OR components, creating the technical foundation for simulation-based evaluation, workflow studies, and AI model training. This is a highly specialized individual contributor role requiring deep technical expertise and recognized leadership within a specialized engineering discipline. The ideal candidate brings extensive experience in their field, along with an advanced degree or equivalent combination of education and experience. As a technical expert, you will apply in-depth knowledge to solve complex engineering challenges, exercise sound analytical and evaluative judgment, and make informed decisions in situations involving both quantitative and qualitative information. Success in this role requires the ability to assess, prioritize, analyze, and validate complex and evolving technical problems while contributing to innovative solutions. Candidates should possess a bachelor's degree or equivalent experience and typically have 8+ years of relevant professional experience. Typical Day-to-Day Participate in daily standup / progress reporting meetings Work independently on assigned tasks Work with stakeholders to resolve issues and blockers Present on milestone achievements Responsibilities Migrate the assets from the existing OR simulator to Isaac Sim using its import and scene definition capabilities, including the robot, the operating table, sawbone and tracking instrument models. Set up an articulation controller to control joint positions of the robot. Connect the simulation to ROS2 to use already existing functionality for controlling the robot. Evaluate the use of Isaac Sim for OR layout optimization and implement or extend missing features needed to support basic layout, access, collision, and workflow studies. Develop a physics model for tool-tissue interaction to accurately model bone resection and tissue manipulation. Integrate a variety of sensor models into the simulation. Desired Qualifications Candidates should possess a bachelor's degree or equivalent experience and typically have 8+ years of relevant professional experience. Solid background with Python programming in a Linux environment. Experience with robotics hardware development and CAD modeling. Exposure to simulation tools (e.g., Gazebo, Webots, Unity, MATLAB/Simulink, NVIDIA Isaac Sim). Experience with physics modeling and simulation. Experience with Omniverse and USD workflows preferred. Experience with articulated robot simulation preferred. Experience with edge computing preferred. Robotics controls background and working knowledge of ROS2 preferred. Additional Information This is a newly created position supporting the development of foundational technologies for future robotics and AI capabilities. You'll join a collaborative team of approximately 8 engineers focused on robotics simulation and software development. This is an individual contributor role with no direct reports or people management responsibilities. The position is primarily engineering-focused with collaboration across internal cross-functional teams and does not involve direct interaction with external clients or customers.