195 jobs found

Description: Transform the Way We Work Are you the type of developer who enjoys solving real business problems, not just writing code? We are looking for a practical, product-minded Business Systems Developer to help us leverage technology, automation, data, and artificial intelligence to improve how our business operates and how our customers experience working with us. This is not a traditional software development role. You will work directly with teams across the organization to understand workflows, identify opportunities for improvement, and build useful software tools that make our company faster, smarter, and easier to do business with. This is a high-impact opportunity for someone who wants to help shape the future of a growing organization through thoughtful application of modern technology. What You'll Do Partner with leaders and employees across departments to understand how work gets done and identify opportunities for improvement. Attack specific business process improvement opportunities identified by senior leadership. Analyze existing workflows and recommend technology-driven solutions that increase efficiency, accuracy, and scalability. Build internal applications, dashboards, integrations, and workflow automations that reduce manual effort and improve visibility. Improve the flow of data between systems and help establish more reliable business processes. Develop customer-facing and customer-supporting tools that enhance speed, communication, and overall customer experience. Utilize software and AI solutions to support customer communications, document processing, knowledge management, reporting, task routing, and decision support. Evaluate emerging technologies and AI tools with a focus on practical application, measurable business value, reliability, and responsible use. Collaborate with technical and non-technical colleagues to ensure solutions meet business needs and drive adoption. Continuously seek opportunities to modernize and improve the organization's technology capabilities. What We're Looking For Experience building software solutions used by internal teams and/or customers. Strong ability to understand business processes and translate operational challenges into practical software solutions. Experience developing web applications, integrations, APIs, databases, and cloud-based solutions. Experience with automation platforms and modern development tools. Familiarity with artificial intelligence technologies and their practical business applications. Excellent communication skills with the ability to work effectively across all levels of the organization. A problem-solving mindset and a bias toward delivering useful, maintainable solutions. Ability to balance technical excellence with business priorities and real-world constraints. Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. Experience developing and supporting cloud-based applications, platforms, and services. Experience with APIs, SQL databases, system integrations, and business applications. Experience implementing automation, workflow, or AI-powered solutions. Experience working in manufacturing, operations, engineering, or project-based environments is a plus. Why This Role Matters This position will play a key role in helping us modernize how we operate. The solutions you develop will directly impact employee productivity, operational efficiency, data quality, decision-making, and customer experience. If you're excited about solving meaningful business challenges with technology and want to see the direct impact of your work, we'd love to hear from you. Get a glimpse of life at Takeform: Find your future with us. Affirmative Action/Equal Opportunity Employer Requirements: Compensation details: 00 Yearly Salary PIac965ea5edc3-0343

Description: GXM is seeking a Digital Engineer to join our team to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, and enterprise capability delivery. The selected candidate will support development and maintenance of digital engineering artifacts that enable system visualization, architecture analysis, requirements management, and technical baseline governance across complex mission environments. The Digital Engineer will leverage Model-Based Systems Engineering (MBSE) tools and methodologies to develop digital representations of mission systems, interfaces, data flows, and operational architectures. This role requires close collaboration with architects, systems engineers, software developers, cybersecurity personnel, and mission stakeholders to ensure technical decisions, system dependencies, and requirements are accurately represented and traceable throughout the system lifecycle. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives. Responsibilities Develop and maintain Model-Based Systems Engineering (MBSE) models supporting mission systems, enterprise capabilities, and operational architectures. Create and manage digital architecture models representing system relationships, interfaces, data flows, and operational dependencies. Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making. Support requirements engineering activities, including requirements decomposition, allocation, validation, and management. Establish and maintain traceability between requirements, architecture products, system components, interfaces, and mission capabilities. Support development and management of technical baselines across hardware, software, data, infrastructure, and operational environments. Collaborate with systems engineers, architects, and technical teams to ensure digital engineering artifacts accurately reflect system implementations and architectural decisions. Support architecture reviews, technical assessments, model governance activities, and engineering working groups. Maintain engineering documentation, model repositories, and digital artifacts supporting program execution and modernization efforts. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in Engineering, Systems Engineering, Computer Science, Information Systems, or related technical discipline. 5+ years of experience supporting systems engineering, digital engineering, MBSE, or architecture development activities. Experience utilizing MBSE tools such as Cameo, MagicDraw, Sparx Enterprise Architect, or similar modeling platforms. Experience developing architecture models, engineering artifacts, requirements relationships, and technical documentation. Familiarity with systems engineering principles, architecture frameworks, and digital engineering methodologies. Experience supporting requirements management, traceability, and technical baseline development. Strong analytical, problem-solving, communication, and stakeholder engagement skills. Experience working within Agile, DevSecOps, or modern engineering environments. Desired Qualifications Experience supporting defense, space, intelligence, or multi-domain operational environments. Familiarity with DoD Digital Engineering Strategy, MBSE methodologies, or SysML-based modeling approaches. Experience supporting Command and Control (C2) systems, mission systems, or enterprise modernization initiatives. OCSMP, INCOSE ASEP/CSEP, Cameo certification, or equivalent digital engineering certification preferred. $90k-$155k salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI042e00cb6-

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. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We're looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project's build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively BS or BA in Computer Science, Engineering, or related field or equivalent experience Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Position: Fullstack Developer Location: Dallas, Texas Duration: Contract Job ID: 178709 Job Overview: The Software Engineer will design, develop, test, document, and implement application systems that are functionally appropriate, technically sound, and well-integrated. This role requires collaboration with cross-functional teams, problem-solving skills, and adherence to organizational methodologies and standards. The candidate will also respond to production issues and implement immediate resolutions across various technology areas. Responsibilities: Design, write, test, document, and implement application systems based on customer requirements. Apply software development and testing knowledge to solve a range of problems effectively. Collaborate with team members to elevate technology and apply best practices consistently. Communicate project statuses and proposals with customers and cross-functional departments. Document system or application aspects for future upgrades and maintenance. Assess user needs and create software to meet those requirements. Identify and resolve issues during design, testing, and maintenance processes. Work in an agile environment to deliver high-quality software solutions. Prepare and install solutions by determining and designing system specifications and standards. Mentor junior team members to enhance their technical capabilities. Continue professional development through reading, workshops, conferences, and communities of practice. Perform other job duties as directed by leadership. Qualifications: Preferred: Experience in front-end and back-end development. Preferred: Experience in Microservice and Cloud-based development. Preferred: Proficiency in Java, NodeJS, Python, Confluent Kafka, AWS, Lambda, Step Functions, Dynamo DB, EventBridge, and API Gateway. Preferred: CCP Next experience. Intermediate knowledge of software development methodologies, practices, and technologies. Ability to apply software development and testing skills to solve complex problems. Intermediate knowledge of at least one programming language. Strong communication and negotiation skills with technology and partner teams. Ability to analyze and manage large, complex problems and provide viable solutions. Capability to handle multiple assignments while maintaining high-quality work. Ability to mentor and guide team members effectively. Strong presentation and communication skills for diverse audiences. Education: Required: High School Diploma or GED. Required: Bachelor's Degree in Business, Engineering, Computer Science, Information Systems, or equivalent work experience. Experience: Required: Intermediate-level experience with broad knowledge in software engineering. Licensing/Certification: N/A Physical Abilities: Ability to perform work duties from a limited space workstation/desk/office area for extended periods. Ability to communicate and interact in English to meet job demands. Proficiency in using a computer and office productivity tools with sufficient speed and accuracy. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60/Hr The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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 highly experienced Senior Manager (M3) to lead and scale our Quality Engineering organization supporting various commerce, data and advertising systems. In this role, you will provide strategic, operational, and technical leadership across multiple quality engineering teams, ensuring robust test automation, reliability, and business impact at scale. You will develop and execute a quality strategy that drives measurable improvement in system reliability, speed of delivery, and product excellence, partnering closely with executives, engineering leadership, and cross-functional business units. Ideal candidates are visionary people leaders with a proven track record of growing high-performing teams, implementing transformational quality programs, and delivering significant value in complex and rapidly evolving environments. Responsibilities: Organizational Leadership & Transformation Lead, inspire, and develop multiple quality engineering teams and people leaders (managers/technical leads), fostering a culture of technical excellence, inclusion, and continuous learning. Define the multi-year vision and strategic roadmap for quality engineering across the advertising platform, aligned with company business and technology goals. Champion organizational transformation, driving the adoption of best-in-class practices, tools, and quality metrics at scale. Technical Thought Leadership Set the technical direction for large-scale test automation architecture, cloud-native solutions, and intelligent testing initiatives (AI/ML-driven testing, autonomous pipelines, etc.). Sponsor and guide the evolution of shared automation frameworks, tools, and platforms across product and engineering teams. Ensure timely resolution and prevention of high-severity outages through organizational postmortems, root cause analysis, and systemic improvements. Strategic Planning & Execution Develop, communicate, and execute the quality engineering strategy across multiple product groups, balancing innovation, risk, and operational needs. Oversee resource planning, hiring, and organizational design to ensure scaling and allocation of quality engineering talent to meet evolving business needs. Take ultimate responsibility for quality governance, compliance, and traceability across all product lines within your scope. Cross-Functional & Executive Partnership Build and maintain strong working relationships with senior leadership in engineering, product management, data science, product operations, and business teams. Articulate quality risks, trade-offs, and long-term strategies to executive stakeholders; provide regular reporting on quality metrics and organizational outcomes. Lead cross-functional initiatives to ensure test automation and quality engineering are embedded early and effectively throughout the development lifecycle. Minimum Qualifications: 10+ years of experience in software quality engineering, test automation, or software development, with 5+ years managing managers or leading multi-team organizations Proven track record of scaling and transforming quality engineering functions in complex, cloud-native, high-scale environments Demonstrated experience defining and driving organizational strategy, advocating for quality at the senior/executive level, and influencing business outcomes Expertise in modern test automation frameworks, CI/CD, and emerging trends in software quality Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality 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 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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary: The Production Platform Foundations team is a horizontal service team providing both tools and guidance across the organization for operations in AWS. We strive to act as a productivity multiplier, providing consulting and operational support to Application teams to help them drive their adoption of AWS services in conjunction with their existing infrastructure. We work closely with those groups to offer a 'cloud-native' perspective on application architecture, infrastructure, and deployment strategies. A Senior Software Engineer on the Cloud Account Management (CAM) team is a security-focused cloud engineer responsible for designing, building, and supporting automation and tooling initiatives that further enable secure, compliant, self-service ways of working for both the team and the developer base. In addition, this role will provide operational and technical guidance to Application Development (DevOps) teams that are utilizing the AWS environment at Disney Streaming. This position will report to the Engineering Manager and will interact with other Software Engineers in the Cloud Account Management (CAM) team What you'll be doing Write automation tools for your team and other internal teams to self-service, deploy, detect, alert, and mitigate in our AWS environments Build on AWS, including hands-on work with IAM, security policies, and cloud-native services Champion and execute best practices and security standards for operating in the cloud Troubleshoot and implement appropriate IAM permissions for user access and workloads running in AWS Provide guidance and recommendations to development teams on service design and deployments Own initiatives and contribute to future solution designs and planning Be a go-to technical resource on the team, spanning across levels and cross functional teams Monitor and work on inbound issues Qualifications: 5+ years of professional software engineering experience, or equivalent practical experience Strong Python development skills, you write production-quality code, not just scripts Experience with deployment and CI/CD tools - Terraform, GitHub Actions, Spinnaker, and Jenkins. Experience with platform engineering, primarily backend development using Python Experience developing APIs and designing database schemas Hands-on AWS Security/IAM administration and policy-creation experience for many users and workloads Familiarity with Docker and containerization concepts Experience with Unix/Linux systems Exhibit clear, succinct written and verbal communication with technical and non-technical stakeholders. Taking a practical, collaborative approach when working with engineers. Familiarity with operational troubleshooting tools and techniques Nice to have, but not required Experience leveraging AI as a productivity multiplier AWS Certifications Experience supporting DevOps teams in mid-to-large-sized organizations, especially in multitenant environments Familiarity with SSL Certificate management Familiarity with general and AWS-specific networking concepts, including VPC constructs, Firewalling, and DNS The hiring range for this position in Santa Monica, CA and Glendale, CA is $141,900 to $190,300 per year and in New York, NY and Seattle, WA is $148,700 to $199,400 per year and in San Francisco, CA is $155,400 to $208,400. 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 looking for a Software Development in Test Engineer to join our expanding quality engineering efforts supporting the Disney Media Player across clients and devices. As part of our mission to scale automation and enhance quality across our streaming platforms, this role will focus on building robust test automation frameworks and quality processes for media player verification across web, mobile, connected TV, and gaming console platforms. Your work will help ensure that the Disney Media Player delivers seamless, high-quality streaming experiences to millions of viewers. You'll ensure the integrity and performance of playback across diverse device platforms and network conditions. You'll help maintain reliable player behavior by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As an SDET, you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you're excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we'd love to hear from you. Responsibilities include: Work closely with Software Engineers to understand the Disney Media Player and its cross-device ecosystem at DEEP&T Develop automated test frameworks and suites on UI, API and Integration levels of testing using JS/Node or other modern languages Participate in design discussions for our platform to help evolve the platform in a way that enables richer testing scenarios that simplify defect detection and prevention Assist with triage, diagnosis, and resolution of issues discovered across teams. Contribute to end-to-end acceptance tests Where necessary, develop and execute manual test cases to detect issues that cannot be detected through automated means Drive the conversion of manual tests to automated whenever possible Responsibilities and Duties of the Role: Part of product teams in building architectures which are robust, fault-tolerant, and cross-device. Builds solutions for problems of sizeable scope and complexity that have been successfully deployed to customers/users. Influences and drives software engineering best practices within the team Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members code. Participates in developing technical and/or business approaches; and new/enhanced technical tools. Owns the design of software programs or systems within the team, and within the organization. Writes codes that establishes and enhances frameworks. Reviews code for the design, testability and clear usability. Builds solutions that scale and perform. Identifies opportunities to improve the system/product/services with each iteration. Required Education, Experience/Skills/Training: Minimum 3 years of hands-on software test development experience, including both functional and non-functional test development Passion around driving best practices in the testing space Solid experience with JS/Node, Python, or other modern OO languages Experience with or interest in test automation across multiple device platforms (smart TVs, set-top boxes, mobile, web, gaming consoles) Interest in streaming media concepts (playback quality, ABR, DRM, codec behavior) Experience building or improving test automation frameworks . Experience in CICD integration and pipeline development in Jenkins, Spinnaker or other similar tools. Experience in Gherkin ( BDD /TDD ) Strong communication skills and ability to collaborate effectively across engineering teams Bachelor's degree, preferably in Computer Science (or equivalent degree or work experience) The hiring range for this position in Morrisville, NC is $92,900 - $124,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. Job Summary: The Ad Serving Engineering organization within Disney Entertainment and the ESPN organization is responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Digital Advertising Platform. The platform is charged with the qualification, delivery, and tracking of Digital Advertising campaigns (Video on Demand, Live TV, and innovative interactive ads) across all of Disney online properties, including Hulu, Disney+, and ESPN+. In addition, Ad Serving teams collaborate in the development of supporting components, such as anti-ad fatigue systems, impression counting pipelines, and ad experience flows. We also work on integrations with critical services responsible for the entitlements, correct pacing, targeting, selection of ads, and third-party systems. As part of the Decisioning Fleet, you will directly contribute to optimizing ad qualification and selection to make sure viewers always see the right ad at the right time. You will also help build tools that analyze what ads are competing for slots for ad breaks across Hulu, Disney+, ESPN, and others. As a Senior Full Stack Software Engineer (P3) on our team, you'll leverage your technical expertise to design and deliver scalable, performant, and maintainable solutions that directly impact the stability and quality of Disney's ad delivery systems. Daily, you should bring: A willingness and desire to effectively communicate and collaborate across teams and systems. An understanding of the importance of project ownership. A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment. An understanding of micro-service encapsulation and loose coupling, and why they are important. An understanding of how to define technical and operational metrics to measure system health and to manage risk. Use AI tools responsibly to improve productivity while adhering to company policies. Kindness and pragmatic optimism. Responsibilities: Design, implement, and test solutions for high-throughput, low-latency microservices. Enhance observability with metrics, monitoring, and alerting. Translate product requirements into actionable engineering tasks. Take ownership of one or more of the team's domain areas. Integrate AI-assisted development practices into daily workflows. Participate in On-Call rotations per team escalation policy. Basic Qualifications: BS or MS in Computer Science / Engineering or relevant work experience. 5+ years of software engineering experience. Proficiency with Java. Experience with ReactJS or similar frontend frameworks, with the ability to quickly pick up new technologies. Demonstrable analytical / problem-solving skills. Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Preferred Qualifications: Experience with: SpringBoot and related Spring projects. Modern frontend development practices Non-relational database technologies like DynamoDB. Caching datastores such as Redis, ValKey or MemCache. Data Streaming Mechanisms such as Apache Kafka and/or Kinesis. Cloud platforms such as AWS. Modern DevOps tools such as Terraform, Docker, and Kubernetes. Familiarity with AI productivity tools and their application in software development. Domain knowledge in Ad Tech. Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in San Francisco, Santa Monica, Glendale, or Seattle The hiring range for this position in Los Angeles, California is $141,900 to 190,300 per year, Seattle, WA is $148,700 to $199,400, and San Francisco, CA is $155,400 to $208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We're looking for a Lead Software Engineer to join our Data Foundation Platform team. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.). We are looking for a rockstar engineer with experience building AI tools and services that help build the knowledge graph and the AI intelligence layer for a suite of disney products. The successful candidate will have a passion for technology and solid coding skills. Knowledge of specific technologies may be helpful but is less important than an ability to learn quickly. We value team members who aren't afraid to dive deep when required, think for themselves, and have great communication and teamwork skills. Responsibilities and Duties of the Role: Contribute to maintaining, updating, and expanding existing AI intelligence layer encompassing Snowflake Cortex, AWS Bedrock Good understanding of knowledge management and semantic search with experience in Graph databases and Open Search Architect, design, and code shared libraries that abstract complex business logic to allow consistent functionality across all data pipelines in the Data organization. Collaborate with product managers, architects, and other engineers to drive the success of the Data&AI strategy. Contribute to developing and documenting both internal and external standards and best practices for configurations, naming conventions, partitioning strategies, and more. Ensure high operational efficiency and quality of the AI projects. Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team. Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements. Maintain detailed documentation of your work and changes to support data quality and data governance requirements. Basic Qualifications 7+ years software engineering experience in developing large projects Strong algorithmic problem-solving expertise Strong fundamental programming skills in python with knowledge of ML libraries Proficient in AWS Bedrock, Snowflake Cortex, Databricks Genie. Proficient in Data Engineering technologies like Airflow, Spark, Databricks, Snowflake Strong scripting language experience Preferred Qualifications Passion to explore new technology and participate in proof of concepts. Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passionate to automation, data, technology, & creative innovation. Prior experience building internet scale platforms. It would be awesome if you have a robust portfolio on GitHub and / or open-source contributions you are proud to share Required Education Bachelor's or master's degree in Computer Science or related discipline or its equivalent The hiring range for this position in Los Angeles, California is $155,700 to $208,700 per year, Seattle, WA is $163,100 to $218,700, and San Francisco, CA is $170,500 to $228,600 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.

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.