Disney Entertainment and ESPN Product & Technology
New York, New York
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/06/2026
Full time
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/06/2026
Full time
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
We are seeking a User Researcher for a Hybrid position with our Sacramento, California client. The User Researcher who will be responsible for planning, conducting, and synthesizing user research to inform digital product strategy, service design, and enterprise modernization initiatives. This role partners with Human-Centered Design (HCD) teams, Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders to identify user needs, validate design concepts, and generate actionable insights that drive product roadmap priorities. The User Researcher ensures product decisions are grounded in evidence-based research, accessibility best practices, and the needs of diverse user populations. Key Responsibilities Plan and execute qualitative and quantitative user research throughout the product lifecycle. Conduct user interviews, contextual inquiries, surveys, usability testing, focus groups, and observational research. Analyze research findings and translate insights into actionable product roadmap recommendations. Develop personas, customer journey maps, empathy maps, and other Human-Centered Design (HCD) artifacts. Translate user research findings into product requirements and design recommendations. Establish UX success metrics and benchmarks to evaluate current and future-state experiences. Conduct remote moderated and unmoderated usability testing using industry-standard platforms. Collaborate with Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders. Ensure research incorporates accessibility and inclusive design principles. Present research findings to executive leadership, business stakeholders, and technical teams. Support Agile product teams with continuous user feedback throughout development. Maintain research repositories, documentation, and best practices. Minimum Qualifications Education Bachelor's degree required. Required Experience Minimum two (2) successfully completed projects (defined as projects that have achieved full implementation and are operationally complete) demonstrating experience deriving product roadmap priorities from user research data. Preferred Qualifications Experience conducting user research with diverse and vulnerable populations, including non-English speakers, individuals with disabilities, and senior citizens. Experience establishing UX benchmarks such as System Usability Scale (SUS), Time-on-Task, and similar usability metrics. Experience using remote unmoderated user testing platforms such as UserTesting, Optimal Workshop, or similar tools. Experience conducting research within Agile or SAFe environments. Experience supporting enterprise digital transformation or government modernization initiatives. Knowledge of accessibility standards, inclusive design principles, and WCAG guidelines.
08/06/2026
Full time
We are seeking a User Researcher for a Hybrid position with our Sacramento, California client. The User Researcher who will be responsible for planning, conducting, and synthesizing user research to inform digital product strategy, service design, and enterprise modernization initiatives. This role partners with Human-Centered Design (HCD) teams, Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders to identify user needs, validate design concepts, and generate actionable insights that drive product roadmap priorities. The User Researcher ensures product decisions are grounded in evidence-based research, accessibility best practices, and the needs of diverse user populations. Key Responsibilities Plan and execute qualitative and quantitative user research throughout the product lifecycle. Conduct user interviews, contextual inquiries, surveys, usability testing, focus groups, and observational research. Analyze research findings and translate insights into actionable product roadmap recommendations. Develop personas, customer journey maps, empathy maps, and other Human-Centered Design (HCD) artifacts. Translate user research findings into product requirements and design recommendations. Establish UX success metrics and benchmarks to evaluate current and future-state experiences. Conduct remote moderated and unmoderated usability testing using industry-standard platforms. Collaborate with Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders. Ensure research incorporates accessibility and inclusive design principles. Present research findings to executive leadership, business stakeholders, and technical teams. Support Agile product teams with continuous user feedback throughout development. Maintain research repositories, documentation, and best practices. Minimum Qualifications Education Bachelor's degree required. Required Experience Minimum two (2) successfully completed projects (defined as projects that have achieved full implementation and are operationally complete) demonstrating experience deriving product roadmap priorities from user research data. Preferred Qualifications Experience conducting user research with diverse and vulnerable populations, including non-English speakers, individuals with disabilities, and senior citizens. Experience establishing UX benchmarks such as System Usability Scale (SUS), Time-on-Task, and similar usability metrics. Experience using remote unmoderated user testing platforms such as UserTesting, Optimal Workshop, or similar tools. Experience conducting research within Agile or SAFe environments. Experience supporting enterprise digital transformation or government modernization initiatives. Knowledge of accessibility standards, inclusive design principles, and WCAG guidelines.
Job Title: Senior Python Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 407572 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Software Developer, Enterprise Risk and Finance Technology to join our dynamic team. The ideal candidate will have strong experience in Python, Spark/PySpark, Hadoop, REST services, and ReactJS and a proven ability to design, build, and enhance mission-critical surveillance applications that support compliance and regulatory initiatives. Responsibilities: Serve as a hands-on senior developer using Python, PySpark, Spark, and Hadoop for core compliance application components. Design, develop, and maintain scalable, high-performance applications focused on reliability and regulatory compliance. Own and manage JIRA stories to deliver high-quality outcomes within monthly release cycles. Develop and support solutions on the Quartz platform, including audit findings and surveillance control enhancements. Build and consume REST services and collaborate on full-stack UI development using modern frontend technologies. Analyze complex domain-specific datasets for surveillance, risk, and monitoring use cases. Participate in code reviews, architectural discussions, and continuous improvement initiatives. Required Skills & Qualifications: Proven, production-level Python development experience. 3+ years of strong expertise with Hadoop and Apache Spark/PySpark, building scalable distributed pipelines for batch and streaming data. 3+ years with Hadoop ecosystem tools including HDFS and Hive. 3+ years as a senior developer supporting front-office applications in banking or financial services. 3+ years as a quantitative researcher and/or developer, with ability to analyze complex domain data. 3+ years in REST services, ReactJS, or full-stack application development. Strong experience with object and relational databases. Solid understanding of SDLC, version control, and CI/CD practices. 5+ years of hands-on programming experience in an object-oriented language. Preferred Skills: Knowledge of Fixed Income, Equity products, and market structures. 2+ years developing risk and pricing applications. Understanding of Trade Surveillance, Market Misconduct, and Global Markets Compliance. Experience with the Quartz platform. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
08/06/2026
Full time
Job Title: Senior Python Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 407572 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Software Developer, Enterprise Risk and Finance Technology to join our dynamic team. The ideal candidate will have strong experience in Python, Spark/PySpark, Hadoop, REST services, and ReactJS and a proven ability to design, build, and enhance mission-critical surveillance applications that support compliance and regulatory initiatives. Responsibilities: Serve as a hands-on senior developer using Python, PySpark, Spark, and Hadoop for core compliance application components. Design, develop, and maintain scalable, high-performance applications focused on reliability and regulatory compliance. Own and manage JIRA stories to deliver high-quality outcomes within monthly release cycles. Develop and support solutions on the Quartz platform, including audit findings and surveillance control enhancements. Build and consume REST services and collaborate on full-stack UI development using modern frontend technologies. Analyze complex domain-specific datasets for surveillance, risk, and monitoring use cases. Participate in code reviews, architectural discussions, and continuous improvement initiatives. Required Skills & Qualifications: Proven, production-level Python development experience. 3+ years of strong expertise with Hadoop and Apache Spark/PySpark, building scalable distributed pipelines for batch and streaming data. 3+ years with Hadoop ecosystem tools including HDFS and Hive. 3+ years as a senior developer supporting front-office applications in banking or financial services. 3+ years as a quantitative researcher and/or developer, with ability to analyze complex domain data. 3+ years in REST services, ReactJS, or full-stack application development. Strong experience with object and relational databases. Solid understanding of SDLC, version control, and CI/CD practices. 5+ years of hands-on programming experience in an object-oriented language. Preferred Skills: Knowledge of Fixed Income, Equity products, and market structures. 2+ years developing risk and pricing applications. Understanding of Trade Surveillance, Market Misconduct, and Global Markets Compliance. Experience with the Quartz platform. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Job Title: Senior Full Stack Java Developer (ReactJS) Location: Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 407569 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Application Programmer III to join our Financial Crimes technology team. The ideal candidate will have strong experience in full-stack web application development with ReactJS and Java Spring Boot, RESTful services, and enterprise data platforms, and a proven ability to deliver secure, reliable, and scalable applications that meet business goals. Responsibilities: Design, develop, enhance, and maintain applications supporting Financial Crimes capabilities. Collaborate with business partners to refine stories, define requirements, and estimate work across the delivery lifecycle. Design and implement RESTful services and multi-tier solutions using Spring Boot and related frameworks. Build modern web UIs with ReactJS, Redux, HTML5, CSS3, and JavaScript/JQuery. Conduct proof-of-concepts to mitigate risk and validate new ideas and technologies. Set up and automate CI/CD pipelines with tools such as Jira, Bitbucket, Jenkins, Artifactory, and Ansible. Partner with Production Support, Platform, and upstream/downstream teams on change management, maintenance, and platform upgrades. Analyze present-state, propose future-state solutions, and facilitate implementation with measurable outcomes. Ensure adherence to Agile practices and Enterprise Change Standards. Required Skills & Qualifications: Expertise in web application development using ReactJS and Java Spring/Spring Boot 5.x. Strong experience building RESTful web services and multi-tier architectures. Deep knowledge of Spring Core, dependency injection, annotations, and configurations. Experience with JPA/Hibernate, Spring JDBC, and data access patterns. Proficiency with HTML5, CSS3, JavaScript, JQuery, and Redux. Experience with application servers and web containers such as Tomcat 9+, JBoss, and Apache 2.4.x. Strong SQL skills, data analysis, and performance tuning for Oracle 19c or similar enterprise databases. Hands-on with Maven 3.x, Unix shell scripting, and scheduling tools such as Autosys. Practical experience with SDLC, Agile delivery, CI/CD, and change management using Jira, Bitbucket, Jenkins, Artifactory, and Ansible. 10+ years of relevant software development experience. Preferred Skills: Experience with Node.js for backend or tooling use cases. Financial Crimes, risk, or highly regulated industry domain experience. Education: BS/MS in Computer Science, Engineering, or a quantitative discipline. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
08/06/2026
Full time
Job Title: Senior Full Stack Java Developer (ReactJS) Location: Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 407569 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Application Programmer III to join our Financial Crimes technology team. The ideal candidate will have strong experience in full-stack web application development with ReactJS and Java Spring Boot, RESTful services, and enterprise data platforms, and a proven ability to deliver secure, reliable, and scalable applications that meet business goals. Responsibilities: Design, develop, enhance, and maintain applications supporting Financial Crimes capabilities. Collaborate with business partners to refine stories, define requirements, and estimate work across the delivery lifecycle. Design and implement RESTful services and multi-tier solutions using Spring Boot and related frameworks. Build modern web UIs with ReactJS, Redux, HTML5, CSS3, and JavaScript/JQuery. Conduct proof-of-concepts to mitigate risk and validate new ideas and technologies. Set up and automate CI/CD pipelines with tools such as Jira, Bitbucket, Jenkins, Artifactory, and Ansible. Partner with Production Support, Platform, and upstream/downstream teams on change management, maintenance, and platform upgrades. Analyze present-state, propose future-state solutions, and facilitate implementation with measurable outcomes. Ensure adherence to Agile practices and Enterprise Change Standards. Required Skills & Qualifications: Expertise in web application development using ReactJS and Java Spring/Spring Boot 5.x. Strong experience building RESTful web services and multi-tier architectures. Deep knowledge of Spring Core, dependency injection, annotations, and configurations. Experience with JPA/Hibernate, Spring JDBC, and data access patterns. Proficiency with HTML5, CSS3, JavaScript, JQuery, and Redux. Experience with application servers and web containers such as Tomcat 9+, JBoss, and Apache 2.4.x. Strong SQL skills, data analysis, and performance tuning for Oracle 19c or similar enterprise databases. Hands-on with Maven 3.x, Unix shell scripting, and scheduling tools such as Autosys. Practical experience with SDLC, Agile delivery, CI/CD, and change management using Jira, Bitbucket, Jenkins, Artifactory, and Ansible. 10+ years of relevant software development experience. Preferred Skills: Experience with Node.js for backend or tooling use cases. Financial Crimes, risk, or highly regulated industry domain experience. Education: BS/MS in Computer Science, Engineering, or a quantitative discipline. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-
08/05/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-