At Disney Experiences Technology, we design and deliver more than 400 digital and physical products that bring Disney stories to life in unexpected ways. From theme parks and resorts to cruise ships and beyond, our global team of technologists, designers, and innovators creates seamless, immersive experiences that delight millions of Guests and Cast Members around the world. The Disney Signature Experiences and Data team delivers innovative technology solutions across Disney Cruise Line, Disney Vacation Club, and our global tour businesses. We support Guest and Crew experiences at sea, enable commercial growth through digital platforms, and lead the segment's data strategy. With a strong focus on reliability, scalability, and strategic expansion, we build the systems that support immersive experiences and unlock new opportunities for growth. Disney Cruise Line - This role is on the Disney Cruise Line team, which delivers shipboard Guest and Crew systems, commercial platforms, web and app experiences, and infrastructure operations that support seamless journeys at sea. The Role The Lead Network Engineer on the Disney Cruise Line (DCL) New Build Technology team provides technical leadership and full stack architectural oversight for the design, integration, and delivery of onboard infrastructure environments across new vessels and staging facilities. This role owns end-to-end infrastructure delivery including compute, storage, virtualization platforms, and network systems, ensuring solutions are scalable, secure, and aligned to enterprise standards. The Lead Engineer drives build-phase execution partnering closely with Infrastructure Operations, including system integration, validation, and readiness for ship delivery, while embedding cybersecurity-by-design principles in alignment with IACS E26/E27 requirements. Acting as the technical authority, this role guides engineering decisions, resolves complex issues impacting delivery timelines, and provides oversight to vendors and cross-functional teams. This position partners closely with Infrastructure Operations, shipboard technology teams, and broader engineering organizations to ensure a seamless transition from build to steady-state operations, with a strong focus on standardization, resilience, and long-term maintainability across the fleet. Responsibilities Provides technical leadership and architectural direction to systems and network engineers. Mentors junior engineers and drives technical decision-making across the build lifecycle Leads end-to-end infrastructure design and delivery for new ship environments, including compute, storage, virtualization, and network platforms Leads complex problem resolution during the build phase, performing root cause analysis for critical issues impacting delivery timelines and system readiness Drives the implementation of infrastructure platforms, including virtualization clusters, HCI/CI systems, SAN fabrics, and core network architecture Defines, enforces, and evolves technical standards and reference architectures to ensure consistency, scalability, and compliance across all new builds Leads cybersecurity-by-design for all infrastructure, ensuring compliance with IACS E26/E27 through embedded standards for segmentation, hardening, access control, and secure OT/IT integration across ship systems Develops and implements automated, repeatable deployment frameworks to enable efficient and consistent infrastructure delivery across vessels Partners with cross-functional engineering and operations teams to ensure seamless transition from build to steady-state operations, including documentation, knowledge transfer, and operational readiness Leads vendor engagement and technical oversight for hardware, software, and integration partners throughout the build lifecycle Ensures all infrastructure solutions align with Disney GIS security standards, including hardening, segmentation, and compliance requirements Drives build-phase infrastructure readiness, including system validation, performance verification, and integration across dependent platforms Coordinates major build milestones and infrastructure cutovers, ensuring minimal disruption and alignment with ship delivery schedules Guides troubleshooting strategy and escalation management, focusing on rapid resolution of blockers impacting project delivery Provides expert consultation to project leadership and stakeholders, influencing strategic direction and technical approach for new ship builds Required Qualifications 7+ years of experience in infrastructure engineering, with strong focus on network and systems architecture and large-scale deployments Proven expertise in enterprise network design and architecture, including routing, switching, security, and segmentation Experience designing and implementing software-defined networking / SD-WAN solutions Strong background in end-to-end infrastructure delivery, including compute, virtualization (e.g., VMware/HCI), and SAN Experience with enterprise networking platforms (switches, routers, firewalls, wireless) and associated management systems Experience developing standardized, automated deployment frameworks for infrastructure build and delivery Working knowledge of cybersecurity frameworks and compliance standards, including IACS E26/E27, with focus on segmentation and secure architecture. Proven ability to lead technical decisions, mentor engineers, and drive delivery outcomes in complex projects Experience collaborating with vendors and cross-functional teams to deliver integrated infrastructure solutions Cisco CCNP (or higher) in Enterprise or Security Preferred Qualifications Advanced expertise in enterprise infrastructure platforms, including Cisco UCS, Cisco ISE, VMware (including NSX/AVI Load Balancing), and Palo Alto firewalls, with focus on architecture, integration, and large-scale deployment design. Deep knowledge of advanced network design principles, including Quality of Service (QoS), multicast, and segmentation strategies across complex IT/OT environments. Experience designing and implementing identity-based network access (802.1X) across wired and wireless environments using Cisco ISE, including policy design, scalability, and operational transition models. Experience designing and integrating maritime satellite communication systems (VSAT/LEO/GEO) within shipboard network architectures, including optimization for latency, bandwidth constraints, link failover, and seamless transition between satellite and shore connectivity. Demonstrated ability to design highly resilient, fault-tolerant network architectures, including high availability, redundancy, and failure domain isolation across large-scale distributed systems. Required Education Bachelor's degree in Computer Science, Information Technology, or equivalent experience The hiring range for this position in Orlando, FL is $135,200 to $181,200 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.
07/27/2026
Full time
At Disney Experiences Technology, we design and deliver more than 400 digital and physical products that bring Disney stories to life in unexpected ways. From theme parks and resorts to cruise ships and beyond, our global team of technologists, designers, and innovators creates seamless, immersive experiences that delight millions of Guests and Cast Members around the world. The Disney Signature Experiences and Data team delivers innovative technology solutions across Disney Cruise Line, Disney Vacation Club, and our global tour businesses. We support Guest and Crew experiences at sea, enable commercial growth through digital platforms, and lead the segment's data strategy. With a strong focus on reliability, scalability, and strategic expansion, we build the systems that support immersive experiences and unlock new opportunities for growth. Disney Cruise Line - This role is on the Disney Cruise Line team, which delivers shipboard Guest and Crew systems, commercial platforms, web and app experiences, and infrastructure operations that support seamless journeys at sea. The Role The Lead Network Engineer on the Disney Cruise Line (DCL) New Build Technology team provides technical leadership and full stack architectural oversight for the design, integration, and delivery of onboard infrastructure environments across new vessels and staging facilities. This role owns end-to-end infrastructure delivery including compute, storage, virtualization platforms, and network systems, ensuring solutions are scalable, secure, and aligned to enterprise standards. The Lead Engineer drives build-phase execution partnering closely with Infrastructure Operations, including system integration, validation, and readiness for ship delivery, while embedding cybersecurity-by-design principles in alignment with IACS E26/E27 requirements. Acting as the technical authority, this role guides engineering decisions, resolves complex issues impacting delivery timelines, and provides oversight to vendors and cross-functional teams. This position partners closely with Infrastructure Operations, shipboard technology teams, and broader engineering organizations to ensure a seamless transition from build to steady-state operations, with a strong focus on standardization, resilience, and long-term maintainability across the fleet. Responsibilities Provides technical leadership and architectural direction to systems and network engineers. Mentors junior engineers and drives technical decision-making across the build lifecycle Leads end-to-end infrastructure design and delivery for new ship environments, including compute, storage, virtualization, and network platforms Leads complex problem resolution during the build phase, performing root cause analysis for critical issues impacting delivery timelines and system readiness Drives the implementation of infrastructure platforms, including virtualization clusters, HCI/CI systems, SAN fabrics, and core network architecture Defines, enforces, and evolves technical standards and reference architectures to ensure consistency, scalability, and compliance across all new builds Leads cybersecurity-by-design for all infrastructure, ensuring compliance with IACS E26/E27 through embedded standards for segmentation, hardening, access control, and secure OT/IT integration across ship systems Develops and implements automated, repeatable deployment frameworks to enable efficient and consistent infrastructure delivery across vessels Partners with cross-functional engineering and operations teams to ensure seamless transition from build to steady-state operations, including documentation, knowledge transfer, and operational readiness Leads vendor engagement and technical oversight for hardware, software, and integration partners throughout the build lifecycle Ensures all infrastructure solutions align with Disney GIS security standards, including hardening, segmentation, and compliance requirements Drives build-phase infrastructure readiness, including system validation, performance verification, and integration across dependent platforms Coordinates major build milestones and infrastructure cutovers, ensuring minimal disruption and alignment with ship delivery schedules Guides troubleshooting strategy and escalation management, focusing on rapid resolution of blockers impacting project delivery Provides expert consultation to project leadership and stakeholders, influencing strategic direction and technical approach for new ship builds Required Qualifications 7+ years of experience in infrastructure engineering, with strong focus on network and systems architecture and large-scale deployments Proven expertise in enterprise network design and architecture, including routing, switching, security, and segmentation Experience designing and implementing software-defined networking / SD-WAN solutions Strong background in end-to-end infrastructure delivery, including compute, virtualization (e.g., VMware/HCI), and SAN Experience with enterprise networking platforms (switches, routers, firewalls, wireless) and associated management systems Experience developing standardized, automated deployment frameworks for infrastructure build and delivery Working knowledge of cybersecurity frameworks and compliance standards, including IACS E26/E27, with focus on segmentation and secure architecture. Proven ability to lead technical decisions, mentor engineers, and drive delivery outcomes in complex projects Experience collaborating with vendors and cross-functional teams to deliver integrated infrastructure solutions Cisco CCNP (or higher) in Enterprise or Security Preferred Qualifications Advanced expertise in enterprise infrastructure platforms, including Cisco UCS, Cisco ISE, VMware (including NSX/AVI Load Balancing), and Palo Alto firewalls, with focus on architecture, integration, and large-scale deployment design. Deep knowledge of advanced network design principles, including Quality of Service (QoS), multicast, and segmentation strategies across complex IT/OT environments. Experience designing and implementing identity-based network access (802.1X) across wired and wireless environments using Cisco ISE, including policy design, scalability, and operational transition models. Experience designing and integrating maritime satellite communication systems (VSAT/LEO/GEO) within shipboard network architectures, including optimization for latency, bandwidth constraints, link failover, and seamless transition between satellite and shore connectivity. Demonstrated ability to design highly resilient, fault-tolerant network architectures, including high availability, redundancy, and failure domain isolation across large-scale distributed systems. Required Education Bachelor's degree in Computer Science, Information Technology, or equivalent experience The hiring range for this position in Orlando, FL is $135,200 to $181,200 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
Bristol, Connecticut
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.
07/27/2026
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. 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
Seattle, Washington
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.
07/27/2026
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. 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
Glendale, California
Department/Group Overview: Disney Entertainment & ESPN & Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN & Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Content Platform & Operations is ultimately responsible for successfully delivering Disney's entertainment and sports content to millions of people every day. This involves developing, operating, and managing a global content supply chain - the myriad of steps involved from taking a finalized TV show/movie, or live piece of content, from inside Disney to audiences around the globe, in their preferred language and format. This team also manages technology operations in Latin America, Europe and Asia Pacific. Job Summary: We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Datawarehouse. As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney's direct-to-consumer lines of business. You will work closely with an existing team working on expanding Disney's internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale. Responsibilities and Duties of the Role: Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions. Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies. Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of relevant industry experience in data engineering or architecture. Proven track record of building and supporting production data pipelines and data platforms. Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks. Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development experience, including unit testing, code reviews, and documentation. Familiarity with Agile/Scrum methodologies in a collaborative team environment. Excellent oral, written, and cross-functional communication skills. Ability to work effectively with geographically distributed teams. Preferred Qualifications Experience with cloud-based data platforms (e.g., data lakes, data warehouses, or managed data services) Knowledge of streaming and batch data processing frameworks Strong understanding of data quality, data governance, and observability practices Experience supporting analytics, reporting, or downstream application use cases at scale Exposure to integrating AI driven solutions into production systems Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain. Required Education Bachelor's degree in computer science or comparable field of study, and/or equivalent work experience. The hiring range for this position in Glendale, CA & Bristol, CT 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.
07/27/2026
Full time
Department/Group Overview: Disney Entertainment & ESPN & Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN & Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Content Platform & Operations is ultimately responsible for successfully delivering Disney's entertainment and sports content to millions of people every day. This involves developing, operating, and managing a global content supply chain - the myriad of steps involved from taking a finalized TV show/movie, or live piece of content, from inside Disney to audiences around the globe, in their preferred language and format. This team also manages technology operations in Latin America, Europe and Asia Pacific. Job Summary: We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Datawarehouse. As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney's direct-to-consumer lines of business. You will work closely with an existing team working on expanding Disney's internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale. Responsibilities and Duties of the Role: Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions. Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies. Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of relevant industry experience in data engineering or architecture. Proven track record of building and supporting production data pipelines and data platforms. Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks. Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development experience, including unit testing, code reviews, and documentation. Familiarity with Agile/Scrum methodologies in a collaborative team environment. Excellent oral, written, and cross-functional communication skills. Ability to work effectively with geographically distributed teams. Preferred Qualifications Experience with cloud-based data platforms (e.g., data lakes, data warehouses, or managed data services) Knowledge of streaming and batch data processing frameworks Strong understanding of data quality, data governance, and observability practices Experience supporting analytics, reporting, or downstream application use cases at scale Exposure to integrating AI driven solutions into production systems Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain. Required Education Bachelor's degree in computer science or comparable field of study, and/or equivalent work experience. The hiring range for this position in Glendale, CA & Bristol, CT 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.
This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/27/2026
Full time
This is not a remote role - you must be in the area or be open to relocation Senior Software Engineer, Payments and Accounting "It takes people to make the dream a reality." Walt was on to something when he said that, and it continues to ring true today. No matter where you are in the stage of your career, being part of Disney Parks, Experiences and Products (DPEP) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As a Senior Software Engineer with experience in full-stack software engineering and a strong commitment to excellence, you will contribute hands-on within the Payments and Accounting Technology team responsible for advancing the payments and accounting ecosystem to support the ever-expanding business needs of Parks Commercial Platforms. Our team owns and operates 30+ production backend and frontend services powering payment processing, fraud detection, gift card management, and card issuance across Walt Disney World, Disneyland, Disney Cruise Line, Disney Store, and other Disney properties. We seek forward-thinking full-stack engineers who are passionate about delivering quality products at scale, embrace AI-assisted development practices, and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be comfortable working across backend services (Java/Spring) and frontend applications (Angular/Node.js), be proficient in leveraging AI tools to accelerate development workflows, and thrive in a fast-paced environment where production incident response and delivery excellence are equally important. The Senior Software Engineer reports to the Senior Manager-Technology. As a part of our team, you will work towards achieving the objectives outlined below: Actively participating in the successful implementation of solutions for complex technical problems across the full stack from backend Java microservices to Angular UI applications and Node.js API layers Contributing to the development and maintenance of payment processing frameworks, containerized execution environments, build systems, and shared libraries used across multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning considerations Contributing to project architecture and effectively communicating technical decisions within the team Contributing to Key Performance Indicators (KPIs) to measure project progress, system reliability, and engineering productivity Collaborating with engineers to ensure clean, thread-safe, well-tested code that introduces new features and capabilities Improving engineering productivity through innovation, automation, and adoption of modern development tools and AI assistants Responsibilities: Design, develop, and maintain full-stack payment processing applications spanning Java 21/Spring backend microservices, Angular 18 frontend applications, and Node.js 20 API layers Build and maintain containerized services using Docker, deploying to AWS with Tomcat-based runtime environments Support and operate production services processing real-time payment transactions across multiple Disney properties including authorization, settlement, fraud screening, gift card operations, and card issuance Develop and maintain Splunk-based monitoring, alerting, and operational analytics for payment and fraud detection systems Implement and support adherence to PCI-DSS compliance standards across application code, logging, data handling, and infrastructure Participate in production incident response for payment service failures including rapid triage, root cause analysis, remediation, and post-incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders for complex integration work Contribute to technical estimates, risk assessments, and project sizing Investigate and resolve complex concurrency and performance issues in high-throughput payment services Act as a technical resource across backend services and frontend applications Qualifications: Must have 5+ years of design, architecture, and development experience in highly scalable, high-volume software components and/or client-facing web applications Experience in payment processing, fintech, or financial services technology strongly preferred Must have demonstrated experience leveraging AI tools in software development workflows preferred Deep understanding of design patterns and modern, highly scalable full-stack application development Advanced experience with Java 17+ (Java 21 preferred) including Spring Framework Advanced experience with Angular 16+ (Angular 18 preferred) and Node.js 18+ (Node.js 20 preferred) Advanced experience with AWS services: Lambda, DynamoDB, Aurora DB, S3, ECS, CloudWatch Advanced experience with Docker containerization and CI/CD pipelines (Jenkins, GitHub Actions, Harness) Advanced experience with microservices architecture, RESTful APIs, and cloud-native design patterns Must have proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q) and experience using them in development workflows Experience with or strong interest in applying AI/ML to fraud detection, anomaly detection, or payment optimization use cases Strong understanding of payment processing concepts: authorization, settlement, tokenization, PCI-DSS compliance, card network mandates Experience with Splunk or similar log analytics platforms for operational monitoring and incident investigation Advanced experience in Object-Oriented design principles, patterns, and coding best practices Advanced experience building use case driven software with Agile Software Development and Test Driven Development methodologies Experience with database technologies: Aurora (MySQL), MariaDB, DynamoDB, Redis Ability to thrive in a dynamic, fast-paced environment with on-call production support responsibilities Ability to be highly flexible to quickly changing business needs and new technologies Ability to performance tuning, and concurrency hardening across production services Ability to contribute to test automation including JUnit concurrency testing, integration testing, and regression suites Ability to create and maintain technical documentation, runbooks, and operational procedures Ability to contribute to improvement of software development processes, including code quality gates (SonarQube), security scanning, and deployment practices Ability to proactively reassess business needs and make suggestions to meet those needs Ability to apply vision, creativity, and proactive solutions to complex issues across the full stack Ability to perform programming, testing, and debugging of major projects spanning backend and frontend systems Ability to mentor and review the work of less experienced members of the team Required Education: Bachelor's Degree in Computer Science or Engineering Field (or equivalent education and experience) The hiring range for this position in Orlando is $135,200.00 - $165,000.00per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
New York, New York
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 execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. 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. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/27/2026
Full time
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 execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. 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. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
As an IT Infrastructure Engineer V at Kaiser Permanente, you will design, implement, and optimize secure, highly available network and infrastructure solutions supporting a large-scale healthcare environment. You will architect, configure, and troubleshoot enterprise networks, cloud and on-prem systems, and automation frameworks to ensure performance, resilience, and compliance. Partnering with cross-functional teams, you'll lead complex projects, drive infrastructure modernization, mentor junior engineers, and champion best practices in monitoring, security, and documentation to deliver reliable services for internal users and patients.
07/27/2026
Full time
As an IT Infrastructure Engineer V at Kaiser Permanente, you will design, implement, and optimize secure, highly available network and infrastructure solutions supporting a large-scale healthcare environment. You will architect, configure, and troubleshoot enterprise networks, cloud and on-prem systems, and automation frameworks to ensure performance, resilience, and compliance. Partnering with cross-functional teams, you'll lead complex projects, drive infrastructure modernization, mentor junior engineers, and champion best practices in monitoring, security, and documentation to deliver reliable services for internal users and patients.
SimVentions, Inc - Glassdoor 4.6
Lexington Park, Maryland
SimVentions, Inc. (Glassdoor 4.6) seeks a Senior Systems Engineer to lead design, integration, and sustainment of secure IT systems for Defense & Aerospace programs. In the IT & Data Management department, you will architect mission-critical infrastructure, guide requirements, troubleshoot complex issues, and ensure cybersecurity and compliance for DoD environments. Collaborate with cross-functional teams to implement scalable, resilient solutions while mentoring junior engineers. Join a values-driven, family-like culture focused on integrity, servant leadership, and mission success, with strong opportunities for professional growth.
07/27/2026
Full time
SimVentions, Inc. (Glassdoor 4.6) seeks a Senior Systems Engineer to lead design, integration, and sustainment of secure IT systems for Defense & Aerospace programs. In the IT & Data Management department, you will architect mission-critical infrastructure, guide requirements, troubleshoot complex issues, and ensure cybersecurity and compliance for DoD environments. Collaborate with cross-functional teams to implement scalable, resilient solutions while mentoring junior engineers. Join a values-driven, family-like culture focused on integrity, servant leadership, and mission success, with strong opportunities for professional growth.
Kaiser Permanente is seeking an IT Applications Engineer V to design, implement, and optimize enterprise applications supporting our healthcare operations. In this senior role, you'll architect scalable solutions, integrate third-party and internal systems, and ensure performance, reliability, and security. You'll collaborate with product, infrastructure, and security teams to translate business needs into robust technical designs, lead complex troubleshooting, and mentor junior engineers. This position emphasizes automation, CI/CD, documentation, and continuous improvement across our applications ecosystem.
07/27/2026
Full time
Kaiser Permanente is seeking an IT Applications Engineer V to design, implement, and optimize enterprise applications supporting our healthcare operations. In this senior role, you'll architect scalable solutions, integrate third-party and internal systems, and ensure performance, reliability, and security. You'll collaborate with product, infrastructure, and security teams to translate business needs into robust technical designs, lead complex troubleshooting, and mentor junior engineers. This position emphasizes automation, CI/CD, documentation, and continuous improvement across our applications ecosystem.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Senior Site Reliability Engineer to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to operate, improve, and sustain mission-critical developer platforms used by Air Dominance engineering teams. This role will provide hands-on technical ownership for GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will drive reliability improvements, automate operational workflows, troubleshoot complex incidents, lead planned maintenance activities, and help establish mature Site Reliability Engineering practices for the team. Position Responsibilities: Operate and maintain GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Lead the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Lead administration of cloud-based and on-premises infrastructure using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Serve as a technical owner for platform reliability, availability, performance, capacity, backup, recovery, and operational readiness Lead troubleshooting for complex application, database, runner, pipeline infrastructure, network, storage, and performance issues Develop and maintain Infrastructure as Code (IaC), Ansible, and other automation for provisioning, configuration, platform scaling, health checks, reporting, backup validation, and routine operational tasks Plan and execute approved changes, including application upgrades, security patches, database maintenance, runner lifecycle activities, and infrastructure updates Establish and improve monitoring, alerting, dashboards, SLIs, SLOs, SLAs, KPIs, error budgets, and operational metrics Lead software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Define, collect, analyze, and refine software delivery and platform reliability metrics to support data-driven decision making Support incident response, root cause analysis, corrective action tracking, and post-incident reviews Mentor junior engineers and provide technical guidance on SRE practices, secure administration, automation, and troubleshooting Partner with developers, project administrators, cybersecurity personnel, infrastructure teams, database administrators, and program stakeholders Improve runbooks, standard operating procedures, architecture documentation, and disaster recovery procedures Evaluate platform risks, capacity trends, recurring incidents, and operational toil, then recommend and implement improvements Lead demonstrations, monitor progress, and present technical status to customers and management Lead process improvement efforts that help operationally field higher-quality end-to-end system software more frequently Participate in after-hours support for urgent or mission-impacting issues as required This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 9+ years of experience with DevOps, Site Reliability Engineering, software engineering, and/or cloud engineering Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with technical leadership Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience or Bachelor's Degree and 13+ years of directly related work experience or 17+ years of related, relevant experience Experience administering GitLab, GitLab CI/CD, GitLab runners, or comparable enterprise source control and CI/CD platforms Experience administering Jira, Confluence, or other Atlassian products Experience administering PostgreSQL, including backup and recovery, replication, query troubleshooting, storage management, and performance tuning Experience with AWS, Microsoft Azure, Infrastructure as Code, Ansible, configuration management, container platforms, Docker, Kubernetes, virtualization, or cloud-native services Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Experience designing or improving monitoring, alerting, dashboards, operational metrics, and SLOs Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience with disaster recovery planning, continuity of operations, backup validation, and restore testing Experience leading technical investigations, post-incident reviews, and corrective action plans Ability to obtain Security+ certification Demonstrated ability to balance customer urgency, system reliability, security requirements, and change control Strong customer focus and ability to work with engineering teams, leadership, and cross-functional stakeholders Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Senior Site Reliability Engineer to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to operate, improve, and sustain mission-critical developer platforms used by Air Dominance engineering teams. This role will provide hands-on technical ownership for GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will drive reliability improvements, automate operational workflows, troubleshoot complex incidents, lead planned maintenance activities, and help establish mature Site Reliability Engineering practices for the team. Position Responsibilities: Operate and maintain GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Lead the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Lead administration of cloud-based and on-premises infrastructure using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Serve as a technical owner for platform reliability, availability, performance, capacity, backup, recovery, and operational readiness Lead troubleshooting for complex application, database, runner, pipeline infrastructure, network, storage, and performance issues Develop and maintain Infrastructure as Code (IaC), Ansible, and other automation for provisioning, configuration, platform scaling, health checks, reporting, backup validation, and routine operational tasks Plan and execute approved changes, including application upgrades, security patches, database maintenance, runner lifecycle activities, and infrastructure updates Establish and improve monitoring, alerting, dashboards, SLIs, SLOs, SLAs, KPIs, error budgets, and operational metrics Lead software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Define, collect, analyze, and refine software delivery and platform reliability metrics to support data-driven decision making Support incident response, root cause analysis, corrective action tracking, and post-incident reviews Mentor junior engineers and provide technical guidance on SRE practices, secure administration, automation, and troubleshooting Partner with developers, project administrators, cybersecurity personnel, infrastructure teams, database administrators, and program stakeholders Improve runbooks, standard operating procedures, architecture documentation, and disaster recovery procedures Evaluate platform risks, capacity trends, recurring incidents, and operational toil, then recommend and implement improvements Lead demonstrations, monitor progress, and present technical status to customers and management Lead process improvement efforts that help operationally field higher-quality end-to-end system software more frequently Participate in after-hours support for urgent or mission-impacting issues as required This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 9+ years of experience with DevOps, Site Reliability Engineering, software engineering, and/or cloud engineering Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with technical leadership Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience or Bachelor's Degree and 13+ years of directly related work experience or 17+ years of related, relevant experience Experience administering GitLab, GitLab CI/CD, GitLab runners, or comparable enterprise source control and CI/CD platforms Experience administering Jira, Confluence, or other Atlassian products Experience administering PostgreSQL, including backup and recovery, replication, query troubleshooting, storage management, and performance tuning Experience with AWS, Microsoft Azure, Infrastructure as Code, Ansible, configuration management, container platforms, Docker, Kubernetes, virtualization, or cloud-native services Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Experience designing or improving monitoring, alerting, dashboards, operational metrics, and SLOs Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience with disaster recovery planning, continuity of operations, backup validation, and restore testing Experience leading technical investigations, post-incident reviews, and corrective action plans Ability to obtain Security+ certification Demonstrated ability to balance customer urgency, system reliability, security requirements, and change control Strong customer focus and ability to work with engineering teams, leadership, and cross-functional stakeholders Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. Build your best future with the Johnson Controls team Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard - your next great opportunity is just a few clicks away! What we offer: Competitive salary bonus plan Paid vacation/holidays/sick time Comprehensive benefits package including 401K, medical, dental, and vision care On the job/cross training opportunities Encouraging and collaborative team environment Dedication to safety through our Zero Harm policy A highly experienced, hands-on Senior Integration Developer responsible for designing and delivering complex, enterprise-grade integration solutions. Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment. Key Responsibilities Core Development (Primary Focus) Lead the development of complex, large-scale integration solutions using Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid). Build high-performance, scalable, and production-ready solutions, handling complex enterprise integration scenarios. Develop reusable frameworks, advanced integration patterns, and shared components to accelerate delivery across programs. API Development & APIM Governance Design and implement enterprise-grade APIs using Azure API Management (APIM). Configure advanced APIM policies including security, transformation, throttling, and routing. Ensure APIs meet performance, security, and governance standards. Low-Level Design & Technical Ownership Own and drive Low-Level Design (LLDs) for modules and critical components. Translate business and architectural requirements into scalable, well-structured technical designs. Ensure strict adherence to architecture standards, design principles, and best practices. Azure DevOps & CI/CD (Key Responsibility) Design, implement, and optimize CI/CD pipelines using Azure DevOps / GitHub Actions. Drive end-to-end automation of build, deployment, and release processes using Infrastructure as Code (IaC). Ensure consistent, reliable, and high-quality releases across environments. Improve deployment efficiency, rollback strategies, and release governance. Testing, Debugging & Production Support Lead unit testing, integration testing, and validation strategies. Handle complex debugging and root cause analysis across APIs, events, and workflows. Provide strong support for critical production issues and performance bottlenecks. Monitoring, Reliability & Performance Implement and enhance observability frameworks using Azure Monitor and Application Insights. Ensure solutions meet SLAs for reliability, scalability, and performance. AI & Copilot-Enabled Development Actively leverage GitHub Copilot / M365 Copilot for: Code acceleration and optimization LLD and API documentation generation Debugging and performance insights Apply AI-assisted engineering practices to improve productivity and delivery quality. Contribute to adoption of AI-driven development practices within the team. Technical Leadership & Mentoring Provide hands-on technical leadership, guiding developers on design, coding, and best practices. Conduct code reviews, design reviews, and quality checks. Mentor engineers and junior developers, building strong technical capability across the team. Collaboration in Complex Delivery Programs Work closely with Leads, Architects, QA, DevOps, and business stakeholders. Drive alignment between design, development, and delivery timelines. Actively contribute to high-velocity, agile delivery environments. Required Skills Experience: 6-9 years with strong focus on hands-on integration development in complex delivery environments. Azure Integration: Deep expertise in Azure Integration Services (AIS). API Development: Advanced experience with Azure API Management (APIM). Programming: Strong coding expertise in C#, .NET, REST APIs, JSON, XML. Design Skills: Proven experience in owning LLDs and contributing to HLDs. Integration Patterns: Strong knowledge of event-driven, distributed, and microservices-based architectures. Azure CI/CD: Hands-on expertise in designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions. Debugging & Performance: Advanced troubleshooting and optimization skills. AI & Copilot Skills: Active and effective use of GitHub Copilot / M365 Copilot Practical understanding of AI-assisted development workflows Preferred Skills Experience with MuleSoft (architecture, migrations, or coexistence). Exposure to AI/ML integration use cases and intelligent automation. Knowledge of enterprise security, API governance, and compliance frameworks. HIRING SALARY RANGE: $89,000-$105,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at -us
07/27/2026
Full time
Job Description Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. Build your best future with the Johnson Controls team Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard - your next great opportunity is just a few clicks away! What we offer: Competitive salary bonus plan Paid vacation/holidays/sick time Comprehensive benefits package including 401K, medical, dental, and vision care On the job/cross training opportunities Encouraging and collaborative team environment Dedication to safety through our Zero Harm policy A highly experienced, hands-on Senior Integration Developer responsible for designing and delivering complex, enterprise-grade integration solutions. Drives advanced development, owns Low-Level Design (LLDs), and ensures high-quality, CI/CD-driven delivery using Azure Integration Services, while mentoring teams and contributing to architecture alignment. Key Responsibilities Core Development (Primary Focus) Lead the development of complex, large-scale integration solutions using Azure Integration Services (Logic Apps, Azure Functions, Data Factory, Service Bus, Event Grid). Build high-performance, scalable, and production-ready solutions, handling complex enterprise integration scenarios. Develop reusable frameworks, advanced integration patterns, and shared components to accelerate delivery across programs. API Development & APIM Governance Design and implement enterprise-grade APIs using Azure API Management (APIM). Configure advanced APIM policies including security, transformation, throttling, and routing. Ensure APIs meet performance, security, and governance standards. Low-Level Design & Technical Ownership Own and drive Low-Level Design (LLDs) for modules and critical components. Translate business and architectural requirements into scalable, well-structured technical designs. Ensure strict adherence to architecture standards, design principles, and best practices. Azure DevOps & CI/CD (Key Responsibility) Design, implement, and optimize CI/CD pipelines using Azure DevOps / GitHub Actions. Drive end-to-end automation of build, deployment, and release processes using Infrastructure as Code (IaC). Ensure consistent, reliable, and high-quality releases across environments. Improve deployment efficiency, rollback strategies, and release governance. Testing, Debugging & Production Support Lead unit testing, integration testing, and validation strategies. Handle complex debugging and root cause analysis across APIs, events, and workflows. Provide strong support for critical production issues and performance bottlenecks. Monitoring, Reliability & Performance Implement and enhance observability frameworks using Azure Monitor and Application Insights. Ensure solutions meet SLAs for reliability, scalability, and performance. AI & Copilot-Enabled Development Actively leverage GitHub Copilot / M365 Copilot for: Code acceleration and optimization LLD and API documentation generation Debugging and performance insights Apply AI-assisted engineering practices to improve productivity and delivery quality. Contribute to adoption of AI-driven development practices within the team. Technical Leadership & Mentoring Provide hands-on technical leadership, guiding developers on design, coding, and best practices. Conduct code reviews, design reviews, and quality checks. Mentor engineers and junior developers, building strong technical capability across the team. Collaboration in Complex Delivery Programs Work closely with Leads, Architects, QA, DevOps, and business stakeholders. Drive alignment between design, development, and delivery timelines. Actively contribute to high-velocity, agile delivery environments. Required Skills Experience: 6-9 years with strong focus on hands-on integration development in complex delivery environments. Azure Integration: Deep expertise in Azure Integration Services (AIS). API Development: Advanced experience with Azure API Management (APIM). Programming: Strong coding expertise in C#, .NET, REST APIs, JSON, XML. Design Skills: Proven experience in owning LLDs and contributing to HLDs. Integration Patterns: Strong knowledge of event-driven, distributed, and microservices-based architectures. Azure CI/CD: Hands-on expertise in designing and managing CI/CD pipelines using Azure DevOps / GitHub Actions. Debugging & Performance: Advanced troubleshooting and optimization skills. AI & Copilot Skills: Active and effective use of GitHub Copilot / M365 Copilot Practical understanding of AI-assisted development workflows Preferred Skills Experience with MuleSoft (architecture, migrations, or coexistence). Exposure to AI/ML integration use cases and intelligent automation. Knowledge of enterprise security, API governance, and compliance frameworks. HIRING SALARY RANGE: $89,000-$105,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at -us
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/27/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
The Support Engineer serves as a technical subject matter expert (SME) for enterprise contact center platforms, including NICE CXone and associated telephony, routing, and integration components. This role is responsible for resolving complex incidents, leading root cause analysis (RCA), and ensuring platform reliability across a 24/7 support environment. This position operates as the final escalation point following Tier 1 and Tier 2 triage, focusing on high-impact P0/P1 issues, platform engineering, and continuous improvement initiatives to improve system stability and reduce incident recurrence. This role is critical to supporting a large-scale CCaaS transformation enabling reliable, scalable, and integrated contact center services across the enterprise, directly impacting member access, clinical workflows, and customer experience outcomes. Job Summary: This senior level employee is primarily responsible for providing expert technical advice on IT infrastructure for assigned systems, setting the technical direction for infrastructure solutions, and for serving as a technical expert for project teams while mentoring and advising others in all system development lifecycle phases. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides consultation and expert technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Leverages partnerships with IT teams and key business partners to troubleshoot complex systems. Serves as a functional expert and collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable system designs. Translates business requirements, and functional and non-functional requirements, into technical specifications that support integrated and sustainable designs for complex or high impact infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Ensures system designs adhere to company architecture standards. Builds partnerships with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Serves as a technical expert for project teams throughout the implementation and maintenance of assigned enterprise infrastructure systems by defining and overseeing the documentation of detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Mentors other technical resources throughout infrastructure systems development. Reviews and validates technical specifications and documentation for complex or multi-dimensional solutions. Leads the development and modification of solutions by identifying technical solutions to business problems. Collaborates with business leaders, Solutions, and lead enterprise architects to review business drivers, and establish a foundation for enterprise systems planning. Reviews benchmarking results, and provides information to support current and future infrastructure needs and projects to IT leadership. Provides preliminary conclusions. Benchmarks and evaluates IT trends and technologies to identify opportunities and considerations that impact ROI. Makes recommendations on resources required to maintain service levels and meet new demands. Guides and drives physical architecture design for new initiatives. Minimum Qualifications: Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
07/09/2026
Full time
The Support Engineer serves as a technical subject matter expert (SME) for enterprise contact center platforms, including NICE CXone and associated telephony, routing, and integration components. This role is responsible for resolving complex incidents, leading root cause analysis (RCA), and ensuring platform reliability across a 24/7 support environment. This position operates as the final escalation point following Tier 1 and Tier 2 triage, focusing on high-impact P0/P1 issues, platform engineering, and continuous improvement initiatives to improve system stability and reduce incident recurrence. This role is critical to supporting a large-scale CCaaS transformation enabling reliable, scalable, and integrated contact center services across the enterprise, directly impacting member access, clinical workflows, and customer experience outcomes. Job Summary: This senior level employee is primarily responsible for providing expert technical advice on IT infrastructure for assigned systems, setting the technical direction for infrastructure solutions, and for serving as a technical expert for project teams while mentoring and advising others in all system development lifecycle phases. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides consultation and expert technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Leverages partnerships with IT teams and key business partners to troubleshoot complex systems. Serves as a functional expert and collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable system designs. Translates business requirements, and functional and non-functional requirements, into technical specifications that support integrated and sustainable designs for complex or high impact infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Ensures system designs adhere to company architecture standards. Builds partnerships with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Serves as a technical expert for project teams throughout the implementation and maintenance of assigned enterprise infrastructure systems by defining and overseeing the documentation of detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Mentors other technical resources throughout infrastructure systems development. Reviews and validates technical specifications and documentation for complex or multi-dimensional solutions. Leads the development and modification of solutions by identifying technical solutions to business problems. Collaborates with business leaders, Solutions, and lead enterprise architects to review business drivers, and establish a foundation for enterprise systems planning. Reviews benchmarking results, and provides information to support current and future infrastructure needs and projects to IT leadership. Provides preliminary conclusions. Benchmarks and evaluates IT trends and technologies to identify opportunities and considerations that impact ROI. Makes recommendations on resources required to maintain service levels and meet new demands. Guides and drives physical architecture design for new initiatives. Minimum Qualifications: Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Job Description CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 10/9/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $100,000.00 Expected Hiring Range Maximum $123,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The position will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems-whether software platforms, data infrastructures, or AI-powered solutions-aligned with CDS research, teaching, and operational priorities. Working closely with CDS leadership, this role will also be responsible for selecting, scoping, and resourcing projects. The engineer will play a central role in shaping a critical technical function within a pioneering academic unit, with the potential to impact cutting-edge research, student learning experiences, and the creation of innovative artifacts that advance academic and operational excellence at BU and beyond. This position will also serve as a key liaison with BU units involved in software, data, and AI infrastructure development, including IS&T, BU Spark! Solution Engineers, and BU SAIL. The engineer will supervise student interns and/or soft-funded research staff working on software, data, or AI engineering projects. Specific duties include: Development of Software, Data, and AI Infrastructures and Solutions - 50% Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices across domains by ensuring code quality, data governance, security protocols, and model evaluation. Develop open and extensible artifacts such as modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems. Close collaboration with technical and administrative leads is required to deliver tailored solutions that meet both experimental and operational needs. Maintain an online repository of completed projects, datasets, software tools, and AI models to ensure transparency, accessibility, and reuse. Experiential Learning Support - 20% Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings, with projects spanning software engineering, data science, and AI development. Responsibilities include assisting in project scoping, student applicant assessment, and quality assurance across technical domains. Provide mentorship and technical guidance to junior staff, student project managers, and interns working on software, data, or AI initiatives. In addition, represent CDS as the senior technical lead in meetings with both internal and external partners. Sponsored Research Support - 20% Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Support the development and deployment of pilots as well as production-ready artifacts across software, data, and AI domains. Serve as a liaison to BU departments providing computing resources or technical support, including IS&T Research Computing, the Hariri Institute's SAIL, and Medical Campus cores such as BEDAC and the Bioinformatics Core. Technical Consultancy - 10% Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration. Guide innovation efforts within CDS clinics, BU Spark! courses, and student-led initiatives, ensuring technical feasibility and alignment with best practices across all domains. Required Skills Bachelor's degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field required. 5-8 years of relevant experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $100,000.00-$123,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-2733eb1cf9dd0442b7b9716bc1c0aee5
01/14/2026
Full time
CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Job Description CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 10/9/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $100,000.00 Expected Hiring Range Maximum $123,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The position will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems-whether software platforms, data infrastructures, or AI-powered solutions-aligned with CDS research, teaching, and operational priorities. Working closely with CDS leadership, this role will also be responsible for selecting, scoping, and resourcing projects. The engineer will play a central role in shaping a critical technical function within a pioneering academic unit, with the potential to impact cutting-edge research, student learning experiences, and the creation of innovative artifacts that advance academic and operational excellence at BU and beyond. This position will also serve as a key liaison with BU units involved in software, data, and AI infrastructure development, including IS&T, BU Spark! Solution Engineers, and BU SAIL. The engineer will supervise student interns and/or soft-funded research staff working on software, data, or AI engineering projects. Specific duties include: Development of Software, Data, and AI Infrastructures and Solutions - 50% Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices across domains by ensuring code quality, data governance, security protocols, and model evaluation. Develop open and extensible artifacts such as modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems. Close collaboration with technical and administrative leads is required to deliver tailored solutions that meet both experimental and operational needs. Maintain an online repository of completed projects, datasets, software tools, and AI models to ensure transparency, accessibility, and reuse. Experiential Learning Support - 20% Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings, with projects spanning software engineering, data science, and AI development. Responsibilities include assisting in project scoping, student applicant assessment, and quality assurance across technical domains. Provide mentorship and technical guidance to junior staff, student project managers, and interns working on software, data, or AI initiatives. In addition, represent CDS as the senior technical lead in meetings with both internal and external partners. Sponsored Research Support - 20% Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Support the development and deployment of pilots as well as production-ready artifacts across software, data, and AI domains. Serve as a liaison to BU departments providing computing resources or technical support, including IS&T Research Computing, the Hariri Institute's SAIL, and Medical Campus cores such as BEDAC and the Bioinformatics Core. Technical Consultancy - 10% Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration. Guide innovation efforts within CDS clinics, BU Spark! courses, and student-led initiatives, ensuring technical feasibility and alignment with best practices across all domains. Required Skills Bachelor's degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field required. 5-8 years of relevant experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $100,000.00-$123,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-2733eb1cf9dd0442b7b9716bc1c0aee5
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
01/14/2026
Full time
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details
01/14/2026
Full time
Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details
Position Title: Assistant/Associate Professor of Instruction - Computer Science Job Posting Number: NTL Job Location: San Marcos College/Division: College of Science and Engineering Department/School: Computer Science Position Description : The Department of Computer Science invites applications for faculty positions at the rank of Assistant and/or Associate Professor of Instruction, starting in Fall 2026. We are seeking candidates to teach a variety of courses at the undergraduate and graduate levels. The position is a nine-month non-tenure-line faculty appointment. Opportunities exist to augment the academic year salary by assisting with summer instruction. Successful candidates are expected to do the following: Teach 4 sections of 2 to 3 undergraduate/graduate courses per semester. Participate in institutional and professional service. Exhibit a collaborative attitude that feeds into the culture of cooperation and teamwork in the Computer Science Department. This non-tenure-line faculty position is primarily for teaching. Candidates are not expected to engage in research, external funding, or publications. The department offers the following degree programs: Bachelor of Science (BS) in computer science, Bachelor of Arts in computer science, Master of Science in computer science, Master of Arts in computer science, Master of Science in Artificial Intelligence and Doctor of Philosophy in computer science. The BS degree is ABET accredited. The department enjoys a friendly atmosphere and is dedicated to the success of its junior faculty, providing support through formal mentoring, reduced service loads, collaboration and collegiality, and opportunities to participate in university-wide professional development programs. This position is subject to the availability of funds. Required Qualifications: For All Ranks: Master's degree in computer science or a closely related field by the start of employment. Evidence of teaching effectiveness in US universities. Excellent written and oral English communication skills. In addition, for the Associate Professor of Instruction rank: At least five years of teaching experience or at least 10 years' experience in industry working as a senior/lead scientist or engineer. Preferred Qualifications: Ph.D. degree in computer science or a closely related field. Experience teaching both lower- and upper-level computer science courses. Demonstrates current and contemporary competence in teaching content area University service experience. Exhibits the potential for increased leadership in teaching and instructional activities Application Procedures: Online submission of all application materials is required through the university's application portal: To assure full consideration, please submit the following by March 31, 2026 : Cover letter addressing the required and preferred qualifications Curriculum Vita Statement of teaching philosophy Unofficial transcripts (all in one document) List of references Candidates selected for interviews will be required to provide official transcripts from all degree-granting universities. Please visit Computer Science Faculty Opportunities for additional information and to apply. Type of Position: Full-Time Proposed Start Date: Fall 2026 Posting Date: 11/11/2025 Review Date : 03/31/2026 Open Until Filled?: Yes Legal Notices: Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions. Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements. Reasonable Accommodation: If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible. Record Checks and Verifications: Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. Eligibility for Employment: In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications. Why Work at Texas State?: Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing student population for the endless possibilities that await them as citizens of Texas, the nation, and the world. Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines, Texas State seeks outstanding candidates for a variety of faculty positions. Quick Link:
01/14/2026
Full time
Position Title: Assistant/Associate Professor of Instruction - Computer Science Job Posting Number: NTL Job Location: San Marcos College/Division: College of Science and Engineering Department/School: Computer Science Position Description : The Department of Computer Science invites applications for faculty positions at the rank of Assistant and/or Associate Professor of Instruction, starting in Fall 2026. We are seeking candidates to teach a variety of courses at the undergraduate and graduate levels. The position is a nine-month non-tenure-line faculty appointment. Opportunities exist to augment the academic year salary by assisting with summer instruction. Successful candidates are expected to do the following: Teach 4 sections of 2 to 3 undergraduate/graduate courses per semester. Participate in institutional and professional service. Exhibit a collaborative attitude that feeds into the culture of cooperation and teamwork in the Computer Science Department. This non-tenure-line faculty position is primarily for teaching. Candidates are not expected to engage in research, external funding, or publications. The department offers the following degree programs: Bachelor of Science (BS) in computer science, Bachelor of Arts in computer science, Master of Science in computer science, Master of Arts in computer science, Master of Science in Artificial Intelligence and Doctor of Philosophy in computer science. The BS degree is ABET accredited. The department enjoys a friendly atmosphere and is dedicated to the success of its junior faculty, providing support through formal mentoring, reduced service loads, collaboration and collegiality, and opportunities to participate in university-wide professional development programs. This position is subject to the availability of funds. Required Qualifications: For All Ranks: Master's degree in computer science or a closely related field by the start of employment. Evidence of teaching effectiveness in US universities. Excellent written and oral English communication skills. In addition, for the Associate Professor of Instruction rank: At least five years of teaching experience or at least 10 years' experience in industry working as a senior/lead scientist or engineer. Preferred Qualifications: Ph.D. degree in computer science or a closely related field. Experience teaching both lower- and upper-level computer science courses. Demonstrates current and contemporary competence in teaching content area University service experience. Exhibits the potential for increased leadership in teaching and instructional activities Application Procedures: Online submission of all application materials is required through the university's application portal: To assure full consideration, please submit the following by March 31, 2026 : Cover letter addressing the required and preferred qualifications Curriculum Vita Statement of teaching philosophy Unofficial transcripts (all in one document) List of references Candidates selected for interviews will be required to provide official transcripts from all degree-granting universities. Please visit Computer Science Faculty Opportunities for additional information and to apply. Type of Position: Full-Time Proposed Start Date: Fall 2026 Posting Date: 11/11/2025 Review Date : 03/31/2026 Open Until Filled?: Yes Legal Notices: Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions. Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements. Reasonable Accommodation: If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible. Record Checks and Verifications: Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. Eligibility for Employment: In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications. Why Work at Texas State?: Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing student population for the endless possibilities that await them as citizens of Texas, the nation, and the world. Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines, Texas State seeks outstanding candidates for a variety of faculty positions. Quick Link:
Enterprise Directory and Messaging is seeking a Systems Engineer who will support Johns Hopkins University and Medicine for all affiliations, including faculty, staff, students, and administrative departments. The role requires in-depth knowledge of various email technologies such as the JH Email Gateway (Cisco IronPorts), Listserv (Sympa), and Microsoft Exchange, which are hosted on Windows and Linux-based systems. Job Scope/Complexity Develop solutions based on extensive technical knowledge, skills and experience; influence clients towards innovative/integrated solutions. Responsible for full life cycle of medium to large sized complex projects; strong technical skills; strong ability to understand complex business processes. Complex and large projects typically are applications/systems with concurrent users requiring uptime commensurate with Clinical, Business critical, Education critical or Enterprise systems. Impacts of outages will cause major disruption such as implementation of downtime procedures, major disruption of business operations, and/or cascades to more than 7 systems/applications. Disruptions are without obvious or simple workarounds. Build and maintain client relationships through positive interactions. May help lower-level positions. Project scope can span an entire department, division, or enterprise-wide level. For enterprise-wide level typical projects impact the broader customer base of Johns Hopkins and its most mission critical systems. Projects often require interaction with various departments and teams both within and outside the department. Work is complex. Specific Duties & Responsibilities Systems Analysis/Design (Environment/Platform) Design complex business, clinical, education, or infrastructure solutions by meeting with customers to observe and understand current processes and the issue related to those processes. Provide written documentation and diagrams of findings to share with the client and other IT colleagues. Design complex solutions that conform to institutional policies, standards, and guidelines, and infrastructure environment and to vendor and industry best practices to deliver a quality product. Select infrastructure applications that reside between end user applications and hardware operating systems by working with vendors, customers, and other sources (i.e., opensource or Internet2 initiatives) to provide configurable tools to the customers. Develop new methods to improve service processes, performance, and functionality by examining existing systems management tools and processes. Research, recommend, and implement new technologies based on the value to the institutions. Works with vendor processes and products to improve the quality and fit for the institutions. Typically establishes product mastery and demonstrates initiative for improvements. Install & Configure Install and configure complex server hardware and operating systems by following technical documentation to provide a working product. Evaluate, implement, and manage appropriate complex software and hardware solutions by using best practices for the environment to ensure system integrity. Install and configure infrastructure applications by following product installation and configuration directions and industry best practices to deliver a solution to the customers. Implement a schedule of system backups and archive operations by using best practices for the environment to ensure data/media recoverability. Maintain & Troubleshoot Provide complex server level administration (manage HW/SW, maintenance, upgrades and patches, account maintenance, backups and recoveries and assist users) by following documented procedures to ensure a stable environment. Monitor and tune the system by following documentation and procedures to achieve optimum performance levels. Develop complex scripts and solutions by using departmental standards to automate systems management. Perform complex system software upgrades including planning and scheduling, testing, and coordination by following documentation and departmental standards to provide a stable product for the environment. Design and/or integrate security authorization and access control. Audit and maintain user access and authorization by following access and authorization documentation to provide for system security. Generate and maintain complex periodic and ongoing system specific reports by using appropriate tools to assess system performance, integrity and capacity in order to deliver a stable environment to the users. Follow and maintain IT security awareness and best practices by understanding security principles as they pertain to environments supported in order to deliver secure solutions to customers. Utilize system management and monitoring tools and incident tracking systems by following documentation and standards to detect incidents, take corrective actions, and determine root cause. Monitor changes and resolve any incidents by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Project Collaboration & Lifecycle Participation Implement changes while adhering to the change management policies and procedures in order to deliver a successful solution to the customer. Communicate to all parties the nature, significance, and risk factors. With assistance of the project team, develop RFPs from requirements gathered by following institutional and purchasing guidelines in order to present well documented requirements to potential vendors for proposed solutions. Evaluate vendor proposals by reviewing requirements for the product to select the most appropriate vendor. Assist vendors, consultants, and inside Enterprise groups in developing applications by meeting with the team on a regular basis to deliver quality products to customers. Participate in scheduled project team meetings by attending all meetings to provide input to the project team. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end user reference. Develop test scenarios appropriate to changes being implemented by following testing guidelines to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. May participate in Institutional and Departmental committees and initiatives. In addition to the duties described above Leading and supporting email-related projects like migrations, upgrades, and integrations, as well as developing documentation, diagrams, SOPs, and training materials for junior staff and other teams. Provides input for internal roadmap planning and infrastructure decisions, working independently while overseeing all operations of projects and initiatives. Although mainly project-based, the role also involves some support to ticket assignments. Minimum Qualifications Bachelor's Degree. Four years related experience. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Technical Skills and Expected Level of Proficiency Automation - Advanced Cloud Migration - Advanced Directory Services - Advanced Operating Software - Advanced Scripting - Advanced Software Development Life Cycle - Advanced Systems Analysis - Advanced Systems Configuration - Advanced Systems Design - Advanced Systems Development: - Advanced Systems Engineering - Advanced Systems Integration - Advanced Classified Title: Systems Engineer Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri 8:30am-5:00pm FLSA Status: Exempt Location: Remote Department name: Enterprise Directory and Messaging Personnel area: University Administration Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted . click apply for full job details
01/14/2026
Full time
Enterprise Directory and Messaging is seeking a Systems Engineer who will support Johns Hopkins University and Medicine for all affiliations, including faculty, staff, students, and administrative departments. The role requires in-depth knowledge of various email technologies such as the JH Email Gateway (Cisco IronPorts), Listserv (Sympa), and Microsoft Exchange, which are hosted on Windows and Linux-based systems. Job Scope/Complexity Develop solutions based on extensive technical knowledge, skills and experience; influence clients towards innovative/integrated solutions. Responsible for full life cycle of medium to large sized complex projects; strong technical skills; strong ability to understand complex business processes. Complex and large projects typically are applications/systems with concurrent users requiring uptime commensurate with Clinical, Business critical, Education critical or Enterprise systems. Impacts of outages will cause major disruption such as implementation of downtime procedures, major disruption of business operations, and/or cascades to more than 7 systems/applications. Disruptions are without obvious or simple workarounds. Build and maintain client relationships through positive interactions. May help lower-level positions. Project scope can span an entire department, division, or enterprise-wide level. For enterprise-wide level typical projects impact the broader customer base of Johns Hopkins and its most mission critical systems. Projects often require interaction with various departments and teams both within and outside the department. Work is complex. Specific Duties & Responsibilities Systems Analysis/Design (Environment/Platform) Design complex business, clinical, education, or infrastructure solutions by meeting with customers to observe and understand current processes and the issue related to those processes. Provide written documentation and diagrams of findings to share with the client and other IT colleagues. Design complex solutions that conform to institutional policies, standards, and guidelines, and infrastructure environment and to vendor and industry best practices to deliver a quality product. Select infrastructure applications that reside between end user applications and hardware operating systems by working with vendors, customers, and other sources (i.e., opensource or Internet2 initiatives) to provide configurable tools to the customers. Develop new methods to improve service processes, performance, and functionality by examining existing systems management tools and processes. Research, recommend, and implement new technologies based on the value to the institutions. Works with vendor processes and products to improve the quality and fit for the institutions. Typically establishes product mastery and demonstrates initiative for improvements. Install & Configure Install and configure complex server hardware and operating systems by following technical documentation to provide a working product. Evaluate, implement, and manage appropriate complex software and hardware solutions by using best practices for the environment to ensure system integrity. Install and configure infrastructure applications by following product installation and configuration directions and industry best practices to deliver a solution to the customers. Implement a schedule of system backups and archive operations by using best practices for the environment to ensure data/media recoverability. Maintain & Troubleshoot Provide complex server level administration (manage HW/SW, maintenance, upgrades and patches, account maintenance, backups and recoveries and assist users) by following documented procedures to ensure a stable environment. Monitor and tune the system by following documentation and procedures to achieve optimum performance levels. Develop complex scripts and solutions by using departmental standards to automate systems management. Perform complex system software upgrades including planning and scheduling, testing, and coordination by following documentation and departmental standards to provide a stable product for the environment. Design and/or integrate security authorization and access control. Audit and maintain user access and authorization by following access and authorization documentation to provide for system security. Generate and maintain complex periodic and ongoing system specific reports by using appropriate tools to assess system performance, integrity and capacity in order to deliver a stable environment to the users. Follow and maintain IT security awareness and best practices by understanding security principles as they pertain to environments supported in order to deliver secure solutions to customers. Utilize system management and monitoring tools and incident tracking systems by following documentation and standards to detect incidents, take corrective actions, and determine root cause. Monitor changes and resolve any incidents by responding to problems as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Project Collaboration & Lifecycle Participation Implement changes while adhering to the change management policies and procedures in order to deliver a successful solution to the customer. Communicate to all parties the nature, significance, and risk factors. With assistance of the project team, develop RFPs from requirements gathered by following institutional and purchasing guidelines in order to present well documented requirements to potential vendors for proposed solutions. Evaluate vendor proposals by reviewing requirements for the product to select the most appropriate vendor. Assist vendors, consultants, and inside Enterprise groups in developing applications by meeting with the team on a regular basis to deliver quality products to customers. Participate in scheduled project team meetings by attending all meetings to provide input to the project team. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end user reference. Develop test scenarios appropriate to changes being implemented by following testing guidelines to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Test all changes by using the appropriate test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. May participate in Institutional and Departmental committees and initiatives. In addition to the duties described above Leading and supporting email-related projects like migrations, upgrades, and integrations, as well as developing documentation, diagrams, SOPs, and training materials for junior staff and other teams. Provides input for internal roadmap planning and infrastructure decisions, working independently while overseeing all operations of projects and initiatives. Although mainly project-based, the role also involves some support to ticket assignments. Minimum Qualifications Bachelor's Degree. Four years related experience. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Technical Skills and Expected Level of Proficiency Automation - Advanced Cloud Migration - Advanced Directory Services - Advanced Operating Software - Advanced Scripting - Advanced Software Development Life Cycle - Advanced Systems Analysis - Advanced Systems Configuration - Advanced Systems Design - Advanced Systems Development: - Advanced Systems Engineering - Advanced Systems Integration - Advanced Classified Title: Systems Engineer Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri 8:30am-5:00pm FLSA Status: Exempt Location: Remote Department name: Enterprise Directory and Messaging Personnel area: University Administration Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted . click apply for full job details
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
01/14/2026
Full time
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
SENIOR DATA ANALYTICS DEVELOPER, Institutional Research Job Description SENIOR DATA ANALYTICS DEVELOPER, Institutional Research Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 11/10/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $120,375.00 Expected Hiring Range Maximum $168,525.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Boston University seeks a Senior Data Analytics Developer to join our growing Analytical Services & Institutional Research team. This is a high-impact role at a leading R1 university, where advanced analytics directly shape institutional strategy, resource planning, and student success. The Senior Developer will design and deliver sophisticated data solutions including dashboards, visualizations, and analytic models that transform complex datasets into actionable insights for senior leadership and academic/administrative stakeholders. This position offers the opportunity to apply advanced technical skills in Python, R, SQL, and modern BI platforms while working in a collaborative, mission-driven environment. If you thrive at the intersection of technical innovation, data storytelling, and strategic decision support, this is an outstanding opportunity to make a measurable difference at a world-class research institution. Key Responsibilities Successful candidates will bring a strong technical foundation combined with the ability to communicate insights that drive institutional priorities. Analytics Development: Build advanced dashboards, reports, and visualizations (Power BI, Tableau, etc.) to deliver clear insights to senior leaders and decision-makers. Design and implement reproducible data models and statistical analyses (e.g., regression, clustering, predictive modeling). Contribute to scenario planning, enrollment forecasting, and operational optimization projects. Data Engineering & Infrastructure: Develop and optimize queries and pipelines using SQL and/or cloud-based tools. Support the integration of data across institutional systems (SIS, HRIS, LMS) and external sources (IPEDS, NSF HERD, CDS). Contribute to a scalable and modern data environment, leveraging cloud platforms (AWS, Azure) and data stack tools (dbt, Airflow). Collaboration & Communication Partner with administrators and technical staff to clarify questions, design solutions, and translate complex data into actionable insights. Create executive-ready reports and presentations tailored to non-technical stakeholders. Support a culture of data literacy and evidence-based decision-making across the institution. Continuous Improvement: Document workflows, models, and reporting resources for transparency and reproducibility. Mentor junior staff and contribute to knowledge-sharing within the team. Stay current on emerging analytics technologies and best practices. Required Skills Qualifications: Bachelor's degree in data science, statistics, computer science, applied mathematics, or related field. 8+ years of applicable experience with 3+ years of progressively responsible experience in data analytics, data science, or institutional research, preferably in higher education Proficiency in Python, R, and SQL for data cleaning, modeling, and analysis. Strong experience with data visualization platforms (Tableau, Power BI, or similar). Excellent communication skills with the ability to translate technical analyses into leadership-ready insights. Bonus Qualifications If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn. Experience in an R1 university or similarly complex academic institution. Familiarity with higher education data systems (SIS, HRIS, LMS) and national datasets (IPEDS, NSF HERD, CDS). Knowledge of higher education policy, enrollment management, or institutional effectiveness. Experience with cloud platforms (AWS, Azure) and modern data stack tools (dbt, Airflow). Understanding of data governance, metadata management, or semantic modeling. Why Join Us? Be part of an innovative analytics team at one of the nation's leading research universities. Work on projects that directly impact student success, institutional planning, and financial sustainability. Collaborate with highly engaged administrators, faculty, and data professionals across a vibrant campus. Access professional development opportunities to expand technical and leadership skills in a rapidly evolving field. Boston University offers an excellent benefits package including Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. Close Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $120,375.00-$168,525.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-ac840642a01affe489e67e5d
01/14/2026
Full time
SENIOR DATA ANALYTICS DEVELOPER, Institutional Research Job Description SENIOR DATA ANALYTICS DEVELOPER, Institutional Research Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 11/10/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $120,375.00 Expected Hiring Range Maximum $168,525.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Boston University seeks a Senior Data Analytics Developer to join our growing Analytical Services & Institutional Research team. This is a high-impact role at a leading R1 university, where advanced analytics directly shape institutional strategy, resource planning, and student success. The Senior Developer will design and deliver sophisticated data solutions including dashboards, visualizations, and analytic models that transform complex datasets into actionable insights for senior leadership and academic/administrative stakeholders. This position offers the opportunity to apply advanced technical skills in Python, R, SQL, and modern BI platforms while working in a collaborative, mission-driven environment. If you thrive at the intersection of technical innovation, data storytelling, and strategic decision support, this is an outstanding opportunity to make a measurable difference at a world-class research institution. Key Responsibilities Successful candidates will bring a strong technical foundation combined with the ability to communicate insights that drive institutional priorities. Analytics Development: Build advanced dashboards, reports, and visualizations (Power BI, Tableau, etc.) to deliver clear insights to senior leaders and decision-makers. Design and implement reproducible data models and statistical analyses (e.g., regression, clustering, predictive modeling). Contribute to scenario planning, enrollment forecasting, and operational optimization projects. Data Engineering & Infrastructure: Develop and optimize queries and pipelines using SQL and/or cloud-based tools. Support the integration of data across institutional systems (SIS, HRIS, LMS) and external sources (IPEDS, NSF HERD, CDS). Contribute to a scalable and modern data environment, leveraging cloud platforms (AWS, Azure) and data stack tools (dbt, Airflow). Collaboration & Communication Partner with administrators and technical staff to clarify questions, design solutions, and translate complex data into actionable insights. Create executive-ready reports and presentations tailored to non-technical stakeholders. Support a culture of data literacy and evidence-based decision-making across the institution. Continuous Improvement: Document workflows, models, and reporting resources for transparency and reproducibility. Mentor junior staff and contribute to knowledge-sharing within the team. Stay current on emerging analytics technologies and best practices. Required Skills Qualifications: Bachelor's degree in data science, statistics, computer science, applied mathematics, or related field. 8+ years of applicable experience with 3+ years of progressively responsible experience in data analytics, data science, or institutional research, preferably in higher education Proficiency in Python, R, and SQL for data cleaning, modeling, and analysis. Strong experience with data visualization platforms (Tableau, Power BI, or similar). Excellent communication skills with the ability to translate technical analyses into leadership-ready insights. Bonus Qualifications If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn. Experience in an R1 university or similarly complex academic institution. Familiarity with higher education data systems (SIS, HRIS, LMS) and national datasets (IPEDS, NSF HERD, CDS). Knowledge of higher education policy, enrollment management, or institutional effectiveness. Experience with cloud platforms (AWS, Azure) and modern data stack tools (dbt, Airflow). Understanding of data governance, metadata management, or semantic modeling. Why Join Us? Be part of an innovative analytics team at one of the nation's leading research universities. Work on projects that directly impact student success, institutional planning, and financial sustainability. Collaborate with highly engaged administrators, faculty, and data professionals across a vibrant campus. Access professional development opportunities to expand technical and leadership skills in a rapidly evolving field. Boston University offers an excellent benefits package including Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. Close Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $120,375.00-$168,525.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-ac840642a01affe489e67e5d
