About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking a motivated and skilled Software Engineer to join our API Engineering team. In this role, you will design, develop, test, document, and support REST APIs that power critical business applications, partner integrations, and client-facing services. You will work closely with architects, product managers, quality engineers, and platform teams to build secure, scalable, and reliable APIs using modern software engineering practices. This position is ideal for an engineer who enjoys backend development, systems integration, API design, and solving complex technical challenges. Key Responsibilities API Development Design, develop, and maintain RESTful APIs and backend services. Build reusable components, libraries, and integration services. Ensure APIs meet performance, scalability, reliability, and security requirements. Participate in API versioning, lifecycle management, and backward compatibility planning. Troubleshoot and resolve API and integration issues across development, testing, and production environments. Documentation & Knowledge Sharing Create and maintain comprehensive API and integration documentation, including API specifications, developer guides, authentication and authorization requirements, onboarding materials, operational procedures, troubleshooting guides, and usage examples for internal and external consumers. Document system designs, technical decisions, and implementation approaches. Contribute to knowledge repositories and engineering best practices. Integration & Architecture Develop integrations between internal systems, external partners, and cloud services. Implement API solutions that align with enterprise architecture standards. Contribute to microservices and event-driven integration patterns. Support API gateway onboarding and policy implementation activities. Assist with API modernization and legacy system integration initiatives. Quality Engineering Develop unit, integration, and automated API tests. Participate in peer code reviews and design reviews. Support CI/CD adoption and deployment automation. Identify and address reliability, performance, and maintainability issues. Security & Compliance Implement secure authentication and authorization mechanisms using OAuth 2.0, JWT, and related standards. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation and compliance initiatives. Ensure appropriate logging, monitoring, and auditing capabilities are implemented. Collaboration Participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, operations, and support teams. Communicate technical solutions effectively to technical and non-technical stakeholders. Contribute to continuous improvement of engineering standards and processes. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. Experience 3+ years of professional software development experience. 2+ years of experience developing and supporting REST APIs. Experience building backend services using Java, C#, .NET, Spring Boot, or similar technologies. Experience working with distributed applications and service integrations. Experience using Git-based source control and CI/CD platforms. Technical Skills Strong understanding of REST API principles and HTTP protocols. Experience designing and implementing RESTful services and integrations. Experience with JSON, XML, and API integration patterns. Experience with relational databases and SQL. Knowledge of software design patterns and object-oriented programming. Familiarity with API security concepts and best practices including OAuth 2.0 and JWT. Experience with automated testing frameworks and API testing tools. Hands-on experience developing and deploying applications on Microsoft Azure. Experience with Kubernetes and containerized applications using Docker or similar technologies. Understanding of cloud-native application development, deployment, scaling, and operational best practices. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience with Azure API Management (APIM). Experience with event-driven architectures and messaging platforms such as Azure Service Bus, Event Hubs, Kafka, or RabbitMQ. Experience producing API and technical documentation. Experience with monitoring and observability tools such as Azure Monitor, Application Insights, Splunk, Prometheus, Grafana, or OpenTelemetry. Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates. Experience in financial services, fintech, or other regulated industries. What We Value Strong analytical and problem-solving skills. Passion for building high-quality, maintainable software. Attention to detail and commitment to engineering excellence. Strong written and verbal communication skills. Ability to collaborate effectively in a cross-functional environment. Continuous learning mindset and willingness to adopt new technologies. Customer-focused approach to designing and delivering APIs. Ownership mindset with the ability to independently drive tasks to completion. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Job Description: Providing air traffic control and airport surface safety and efficiency systems and tools, we are dedicated to creating aviation systems and services that enable safe, predictable and efficient operations. We deliver innovative solutions to Air Navigation Service Providers (ANSPs), airports and airlines at over 100 locations in more than 45 countries. As a global leading partner and provider of proven Air Traffic Monitoring (ATM) solutions, we transform operations, turning innovative ideas into reality and supporting stakeholders from solution conception through long-term support. We are currently seeking a motivated, enthusiastic Senior Staff Systems Engineer interested in designing, deploying, integrating, tuning, and commissioning advanced ATM systems as part of our Automation and Surveillance team. This position offers opportunities to travel internationally, acquire a diverse range of practical engineering experience, and interact with customers around the world. Currently, we are seeking an engineer to support the execution of ATM projects for several airports in Australia. Job Responsibilities include: Understand customer requirements (including safety and security standards) and decompose them to generate system designs and architectures, hardware requirements, and software requirements. Perform design analysis and trade studies. Lead small, interdisciplinary teams to develop detailed designs and technical and programmatic artifacts. Develop technical documentation and presentation materials for design reviews. Lead programmatic and technical discussions with customers. Help integrate, configure, and test systems in the factory and in the deployed environment. Work collaboratively with customers, prime contractors, and subcontractors to integrate systems and subsystems. Analyze and reduce large datasets to quantify system performance, investigate anomalies, and develop solutions. Support proposal activities by analyzing requirements, assessing compliance/NRE, providing cost and schedule input, and providing/editing technical written material. Utilize and improve existing Saab processes, policies, and products. Provide mentoring and oversight to less-experienced engineers. Compensation: $132,000 - $171,600 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: A bachelor's degree in engineering, physics or computer science from an accredited institution or relevant military education & training 15+ years of relevant experience Opportunity for international travel (up to 10%) Computer programming experience in a high-level language such as Matlab, C/C++, Java, etc. The ability to work effectively in a dynamic, fast-paced, team environment. Strong interpersonal and teamwork skills. Demonstrated personal time management, planning, and organizing skills. Technical project planning skills (including providing cost and schedule estimates). Drive to take ownership of project execution. Desired Expertise: Knowledge of Air Traffic Surveillance and Control systems including international ATC terminology, standards and procedures Familiarity with Linux and Windows operating systems Familiarity with IP networks including Firewalls The successful candidate will have: Strong analytical thinking and problem-solving skills. Ability to identify, understand, and proactively manage risks. The ability to effectively communicate (written and verbal), including presenting to and collaborating with both technical and non-technical colleagues and customers. The ability to generate high-quality technical documentation, including architecture documents, test plans and procedures, reports, and white papers. An interest in international travel and the ability to work with technical counterparts from different countries and cultures around the world. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/24/2026
Full time
Job Description: Providing air traffic control and airport surface safety and efficiency systems and tools, we are dedicated to creating aviation systems and services that enable safe, predictable and efficient operations. We deliver innovative solutions to Air Navigation Service Providers (ANSPs), airports and airlines at over 100 locations in more than 45 countries. As a global leading partner and provider of proven Air Traffic Monitoring (ATM) solutions, we transform operations, turning innovative ideas into reality and supporting stakeholders from solution conception through long-term support. We are currently seeking a motivated, enthusiastic Senior Staff Systems Engineer interested in designing, deploying, integrating, tuning, and commissioning advanced ATM systems as part of our Automation and Surveillance team. This position offers opportunities to travel internationally, acquire a diverse range of practical engineering experience, and interact with customers around the world. Currently, we are seeking an engineer to support the execution of ATM projects for several airports in Australia. Job Responsibilities include: Understand customer requirements (including safety and security standards) and decompose them to generate system designs and architectures, hardware requirements, and software requirements. Perform design analysis and trade studies. Lead small, interdisciplinary teams to develop detailed designs and technical and programmatic artifacts. Develop technical documentation and presentation materials for design reviews. Lead programmatic and technical discussions with customers. Help integrate, configure, and test systems in the factory and in the deployed environment. Work collaboratively with customers, prime contractors, and subcontractors to integrate systems and subsystems. Analyze and reduce large datasets to quantify system performance, investigate anomalies, and develop solutions. Support proposal activities by analyzing requirements, assessing compliance/NRE, providing cost and schedule input, and providing/editing technical written material. Utilize and improve existing Saab processes, policies, and products. Provide mentoring and oversight to less-experienced engineers. Compensation: $132,000 - $171,600 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: A bachelor's degree in engineering, physics or computer science from an accredited institution or relevant military education & training 15+ years of relevant experience Opportunity for international travel (up to 10%) Computer programming experience in a high-level language such as Matlab, C/C++, Java, etc. The ability to work effectively in a dynamic, fast-paced, team environment. Strong interpersonal and teamwork skills. Demonstrated personal time management, planning, and organizing skills. Technical project planning skills (including providing cost and schedule estimates). Drive to take ownership of project execution. Desired Expertise: Knowledge of Air Traffic Surveillance and Control systems including international ATC terminology, standards and procedures Familiarity with Linux and Windows operating systems Familiarity with IP networks including Firewalls The successful candidate will have: Strong analytical thinking and problem-solving skills. Ability to identify, understand, and proactively manage risks. The ability to effectively communicate (written and verbal), including presenting to and collaborating with both technical and non-technical colleagues and customers. The ability to generate high-quality technical documentation, including architecture documents, test plans and procedures, reports, and white papers. An interest in international travel and the ability to work with technical counterparts from different countries and cultures around the world. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
Role Summary and Role Description: As a Senior Software Development Engineer (Server Side) for GlobalLink Technical Operations Team, the ideal candidate will : Provide second level support for GlobalLink Applications Build next generation infrastructure to support new initiatives Quickly diagnose and resolve issues across multiple functional areas (server, network, database, storage) Provide operational support for Security and Compliance Management Execute Change Management tasks in Production, UAT and other lower environments Contribute towards on-going migration tasks in the areas of Maintainability, Performance, and High Availability Monitor system performance and make recommendations on improvements Work closely with Engineering and Development teams in order to deliver a highly available and resilient system Participate in on-call rotation and perform weekend maintenance tasks Experience/Skills Required: Total 15+ years of IT experience: Scripting/Programming experience (Python, BASH, Ansible, Terraform) Strong familiarity with web servers (specifically Apache/NGINX) Linux system administration knowledge (preferably RedHat) Knowledge of network concepts (TCP, UDP, Load Balancing, NAT, FW, etc) Strong troubleshooting skills (ability to detect, isolate, and resolve issues anywhere from the kernel up to the application and network layers) Working knowledge of AWS cloud is must, with good experience in automation. Experience in middleware and messaging technologies like Kafka, RabbitMQ, IBM WMQ Additional Skills: Experience work on CI/CD Tools, JFROG Artifactory systems Knowledge of DevOps tools like Jenkins, Ansible, Artifactory, Docker and Kubernetes. Experience with running and troubleshooting Java applications. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
Role Summary and Role Description: As a Senior Software Development Engineer (Server Side) for GlobalLink Technical Operations Team, the ideal candidate will : Provide second level support for GlobalLink Applications Build next generation infrastructure to support new initiatives Quickly diagnose and resolve issues across multiple functional areas (server, network, database, storage) Provide operational support for Security and Compliance Management Execute Change Management tasks in Production, UAT and other lower environments Contribute towards on-going migration tasks in the areas of Maintainability, Performance, and High Availability Monitor system performance and make recommendations on improvements Work closely with Engineering and Development teams in order to deliver a highly available and resilient system Participate in on-call rotation and perform weekend maintenance tasks Experience/Skills Required: Total 15+ years of IT experience: Scripting/Programming experience (Python, BASH, Ansible, Terraform) Strong familiarity with web servers (specifically Apache/NGINX) Linux system administration knowledge (preferably RedHat) Knowledge of network concepts (TCP, UDP, Load Balancing, NAT, FW, etc) Strong troubleshooting skills (ability to detect, isolate, and resolve issues anywhere from the kernel up to the application and network layers) Working knowledge of AWS cloud is must, with good experience in automation. Experience in middleware and messaging technologies like Kafka, RabbitMQ, IBM WMQ Additional Skills: Experience work on CI/CD Tools, JFROG Artifactory systems Knowledge of DevOps tools like Jenkins, Ansible, Artifactory, Docker and Kubernetes. Experience with running and troubleshooting Java applications. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
09/24/2026
Full time
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
Implements and optimizes components within existing distributed systems under guidance. Applies basic scalability requirements, conducts performance/load testing, and configures resiliency features (retries, circuit breakers, timeouts) to handle network variability. Builds telemetry, alerts, and runbook-driven procedures; delivers scoped features and fault-injection tests; and helps implement basic data replication and synchronization. Assists with on-call rotations, uses automation/IaC scripts to troubleshoot, and follows change, security, and compliance procedures (encryption, access controls, remediation plans) while escalating complex issues to senior engineers. Responsibilities Responsibilities As a Core Infrastructure Software Engineer, you will: Design, develop, and operate highly available, scalable, and fault-tolerant microservices across control plane, connectivity, distributed-systems data plane, and Linux daemon technologies. Contribute throughout the product lifecycle, from conceptualization and product definition through design, development, launch, and operational maturity. Identify opportunities to automate engineering workflows across development, testing, troubleshooting, operations, and documentation, leveraging AI-assisted and agentic approaches where appropriate. Measure and improve reliability, delivery velocity, operational efficiency, customer outcomes, and engineering productivity, while sharing effective practices across the team. You should be a hands-on, adaptable, and self-motivated engineer who learns quickly, applies new tools thoughtfully, and enjoys solving challenging high-availability and scalability problems. Qualifications 3+ years of experience with systems or application development. 3+ years of experience with distributed systems or backend development. Bachelor's degree in Computer Science or a related engineering field. Proficiency with data structures, algorithms, and operating systems. Experience with distributed systems, including familiarity with CAP theorem, consensus, messaging, and high availability. Demonstrated willingness to learn and responsibly apply AI/LLM tools, skills, and automation to improve engineering workflows. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $70,000 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
Implements and optimizes components within existing distributed systems under guidance. Applies basic scalability requirements, conducts performance/load testing, and configures resiliency features (retries, circuit breakers, timeouts) to handle network variability. Builds telemetry, alerts, and runbook-driven procedures; delivers scoped features and fault-injection tests; and helps implement basic data replication and synchronization. Assists with on-call rotations, uses automation/IaC scripts to troubleshoot, and follows change, security, and compliance procedures (encryption, access controls, remediation plans) while escalating complex issues to senior engineers. Responsibilities Responsibilities As a Core Infrastructure Software Engineer, you will: Design, develop, and operate highly available, scalable, and fault-tolerant microservices across control plane, connectivity, distributed-systems data plane, and Linux daemon technologies. Contribute throughout the product lifecycle, from conceptualization and product definition through design, development, launch, and operational maturity. Identify opportunities to automate engineering workflows across development, testing, troubleshooting, operations, and documentation, leveraging AI-assisted and agentic approaches where appropriate. Measure and improve reliability, delivery velocity, operational efficiency, customer outcomes, and engineering productivity, while sharing effective practices across the team. You should be a hands-on, adaptable, and self-motivated engineer who learns quickly, applies new tools thoughtfully, and enjoys solving challenging high-availability and scalability problems. Qualifications 3+ years of experience with systems or application development. 3+ years of experience with distributed systems or backend development. Bachelor's degree in Computer Science or a related engineering field. Proficiency with data structures, algorithms, and operating systems. Experience with distributed systems, including familiarity with CAP theorem, consensus, messaging, and high availability. Demonstrated willingness to learn and responsibly apply AI/LLM tools, skills, and automation to improve engineering workflows. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $70,000 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
09/24/2026
Full time
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Job Title: IT Project Manager (Cloud & Infrastructure Delivery Focused) Pay Type : SALARIED EXEMPT Location: Hybrid, Washington, DC (Must Work East Coast Hours) Citizenship: U.S. Citizenship (Required) Summary of Position Role/Responsibilities The IT Project Manager (Cloud & Infrastructure Delivery Focus) oversees the delivery of cloud, network, and infrastructure security engineering initiatives across Quzara's federal and commercial environments. This role manages schedules, dependencies, risks, and reporting to support modernization efforts, coordinates technical execution among engineering teams, and ensures readiness for deployment. The ideal candidate possesses strong project management skills and experience with cloud and infrastructure delivery in regulated or high-availability settings, maintaining alignment with performance, availability, and continuity goals. Essential Functions of the Job Manage cloud and infrastructure delivery projects, ensuring alignment with defined scope, timelines, and technical objectives. Coordinate with Cloud Engineers, Network Security Engineers, and Infrastructure teams to support execution of engineering workstreams. Develop and maintain deployment schedules, tracking milestones and ensuring readiness for implementation activities. Track and manage dependencies, environment readiness, and change management activities across all phases of delivery. Identify and manage risks related to performance, system availability, and business continuity, escalating issues as needed. Provide delivery-focused progress reporting, including status updates, risk summaries, and milestone tracking to stakeholders. Support coordination of infrastructure changes, upgrades, and modernization activities across cloud and on-prem environments. Ensure consistent communication and alignment between technical teams, program management, and leadership. Marginal Functions of the Job Other duties as assigned Normal Work Schedule : This full-time role runs Monday to Friday, 8:30 AM-5:30 PM and requires flexibility to work remotely or on-site (if applicable per client RTO policies). On occasion additional hours may be necessary. Education, Training, and Experience Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. 5-8+ years of experience in IT project management, with a focus on cloud, infrastructure, or engineering delivery. Experience managing cloud and infrastructure modernization projects, including deployment and change coordination. Familiarity with cloud platforms such as AWS and/or Microsoft Azure, and infrastructure environments. Experience coordinating with engineering teams across cloud, network, and security domains. Strong understanding of project scheduling, dependency management, and change management processes. Ability to manage risks related to system performance, availability, and continuity. Excellent organizational and communication skills, with the ability to manage multiple workstreams simultaneously. Must be a U.S. Citizen and eligible to support federal contracting environments. Preferred Certifications Project Management Professional (PMP) Certified Scrum Master (CSM) or Agile certification Cloud-related certifications (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals) EEO Statement The Company is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, marital status, disability, veteran's status, or any other basis protected by applicable discrimination laws.
09/24/2026
Full time
Job Title: IT Project Manager (Cloud & Infrastructure Delivery Focused) Pay Type : SALARIED EXEMPT Location: Hybrid, Washington, DC (Must Work East Coast Hours) Citizenship: U.S. Citizenship (Required) Summary of Position Role/Responsibilities The IT Project Manager (Cloud & Infrastructure Delivery Focus) oversees the delivery of cloud, network, and infrastructure security engineering initiatives across Quzara's federal and commercial environments. This role manages schedules, dependencies, risks, and reporting to support modernization efforts, coordinates technical execution among engineering teams, and ensures readiness for deployment. The ideal candidate possesses strong project management skills and experience with cloud and infrastructure delivery in regulated or high-availability settings, maintaining alignment with performance, availability, and continuity goals. Essential Functions of the Job Manage cloud and infrastructure delivery projects, ensuring alignment with defined scope, timelines, and technical objectives. Coordinate with Cloud Engineers, Network Security Engineers, and Infrastructure teams to support execution of engineering workstreams. Develop and maintain deployment schedules, tracking milestones and ensuring readiness for implementation activities. Track and manage dependencies, environment readiness, and change management activities across all phases of delivery. Identify and manage risks related to performance, system availability, and business continuity, escalating issues as needed. Provide delivery-focused progress reporting, including status updates, risk summaries, and milestone tracking to stakeholders. Support coordination of infrastructure changes, upgrades, and modernization activities across cloud and on-prem environments. Ensure consistent communication and alignment between technical teams, program management, and leadership. Marginal Functions of the Job Other duties as assigned Normal Work Schedule : This full-time role runs Monday to Friday, 8:30 AM-5:30 PM and requires flexibility to work remotely or on-site (if applicable per client RTO policies). On occasion additional hours may be necessary. Education, Training, and Experience Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field. 5-8+ years of experience in IT project management, with a focus on cloud, infrastructure, or engineering delivery. Experience managing cloud and infrastructure modernization projects, including deployment and change coordination. Familiarity with cloud platforms such as AWS and/or Microsoft Azure, and infrastructure environments. Experience coordinating with engineering teams across cloud, network, and security domains. Strong understanding of project scheduling, dependency management, and change management processes. Ability to manage risks related to system performance, availability, and continuity. Excellent organizational and communication skills, with the ability to manage multiple workstreams simultaneously. Must be a U.S. Citizen and eligible to support federal contracting environments. Preferred Certifications Project Management Professional (PMP) Certified Scrum Master (CSM) or Agile certification Cloud-related certifications (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals) EEO Statement The Company is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, marital status, disability, veteran's status, or any other basis protected by applicable discrimination laws.
Position Overview TAP Engineering is seeking a Senior Software Integration Engineer to provide customer support for High Performance Computing (HPC) software and enable High Performance Computers to continue operating in support of the mission. The Software Integration Engineer will provide HPC services through enhanced sustainment capabilities, supporting multi-vendor HPC servers, HPC clusters, and SPD servers. This position will support a range of UNIX, Linux, and Windows systems, desktop applications, servers, and networks required to support mission operations. Key Responsibilities Integrate, install, configure, upgrade, compile, and support COTS/GOTS software within a heterogeneous operating system environment Provide sustainment and operational support for High Performance Computing (HPC) systems and software Support multi-vendor HPC servers, HPC clusters, and SPD servers Troubleshoot complex system and software issues using structured troubleshooting methodologies Install and configure HPC GOTS scheduler and resource management software Support Linux and UNIX-based environments, including Red Hat, CentOS, and SUSE Develop and maintain Linux shell scripts using various shell environments Support configuration management processes and tools Compile and support software utilizing the GCC compiler Support multi-threaded and parallel processing software Develop and maintain software using Python and object-oriented programming languages Support HPC technologies and infrastructure including HPE, Lustre, VMware, Salt, NVIDIA, InfiniBand, Mellanox, Slingshot, Slurm, Grafana, ELK, Splunk, WEKA, Juniper, and Arista Required Qualifications Active TS/SCI clearance with appropriate polygraph Bachelor's degree in a technical discipline and a minimum of eight (8) years of demonstrable experience integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment; or thirteen (13) years of relevant experience in lieu of a degree DoD 8570 IAT II-level certification Experience with Linux shell scripting Experience with Red Hat, CentOS, and SUSE operating systems Experience with Python programming Experience with object-oriented programming languages such as C, C++, or Java Experience with multi-threaded software and parallel processing Experience with GCC compiler Experience with configuration management tools Experience with HPC GOTS scheduler and resource management software Demonstrated structured troubleshooting skills Experience with Perl or JavaScript Working knowledge of CORBA and J2EE Compensation The anticipated salary range for this position is $165,000-$180,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
09/24/2026
Full time
Position Overview TAP Engineering is seeking a Senior Software Integration Engineer to provide customer support for High Performance Computing (HPC) software and enable High Performance Computers to continue operating in support of the mission. The Software Integration Engineer will provide HPC services through enhanced sustainment capabilities, supporting multi-vendor HPC servers, HPC clusters, and SPD servers. This position will support a range of UNIX, Linux, and Windows systems, desktop applications, servers, and networks required to support mission operations. Key Responsibilities Integrate, install, configure, upgrade, compile, and support COTS/GOTS software within a heterogeneous operating system environment Provide sustainment and operational support for High Performance Computing (HPC) systems and software Support multi-vendor HPC servers, HPC clusters, and SPD servers Troubleshoot complex system and software issues using structured troubleshooting methodologies Install and configure HPC GOTS scheduler and resource management software Support Linux and UNIX-based environments, including Red Hat, CentOS, and SUSE Develop and maintain Linux shell scripts using various shell environments Support configuration management processes and tools Compile and support software utilizing the GCC compiler Support multi-threaded and parallel processing software Develop and maintain software using Python and object-oriented programming languages Support HPC technologies and infrastructure including HPE, Lustre, VMware, Salt, NVIDIA, InfiniBand, Mellanox, Slingshot, Slurm, Grafana, ELK, Splunk, WEKA, Juniper, and Arista Required Qualifications Active TS/SCI clearance with appropriate polygraph Bachelor's degree in a technical discipline and a minimum of eight (8) years of demonstrable experience integrating, installing, configuring, upgrading, compiling, and supporting COTS/GOTS software in a heterogeneous operating system environment; or thirteen (13) years of relevant experience in lieu of a degree DoD 8570 IAT II-level certification Experience with Linux shell scripting Experience with Red Hat, CentOS, and SUSE operating systems Experience with Python programming Experience with object-oriented programming languages such as C, C++, or Java Experience with multi-threaded software and parallel processing Experience with GCC compiler Experience with configuration management tools Experience with HPC GOTS scheduler and resource management software Demonstrated structured troubleshooting skills Experience with Perl or JavaScript Working knowledge of CORBA and J2EE Compensation The anticipated salary range for this position is $165,000-$180,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
Position Overview TAP Engineering is seeking a System Administrator II - Infrastructure & Sustainment Support in Annapolis Junction, Maryland to support the operation, performance, and reliability of high-performance computing (HPC) environments spanning multi-vendor servers, clusters, and specialized processing systems. You'll manage Linux and Unix systems, troubleshoot complex infrastructure issues, and help optimize systems for demanding mission requirements. Key Responsibilities Install, configure, maintain, and troubleshoot Linux and Unix operating systems Manage file systems, system configurations, software installations, and system upgrades Monitor system health, performance, and resource utilization across HPC environments Troubleshoot operating system, application, networking, storage, and infrastructure issues Support TCP/IP networking and high-speed HPC network technologies Develop and maintain Bash scripts to automate system administration and operational tasks Compile, install, and maintain software and applications within Linux environments Support day-to-day operations and incident resolution across servers, storage, network devices, and related infrastructure Optimize system performance and resource utilization and assist with capacity planning Support users and technical teams with system access, configuration, and troubleshooting Document system configurations, procedures, and troubleshooting activities Escalate complex issues and communicate system status to technical teams and stakeholders Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Bachelor's degree in a technical discipline or related field and 5+ years of experience, or 10+ years of relevant experience without a degree Strong experience administering Linux and/or Unix operating systems Experience with OS installation, file system configuration, software installation, and application troubleshooting Working knowledge of TCP/IP networking Bash scripting experience Experience with software compilation and installation Understanding of HPC architectures and environments Familiarity with high-speed networking technologies such as InfiniBand and Slingshot Experience or familiarity with tools such as Slurm, Salt, Ansible, Git, Jira, Confluence, Grafana, Prometheus, and Nagios Strong analytical and troubleshooting skills with the ability to diagnose unique and complex system issues Ability to work effectively in a collaborative, mission-focused environment Compensation The anticipated salary range for this position is $83,000-$113,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
09/24/2026
Full time
Position Overview TAP Engineering is seeking a System Administrator II - Infrastructure & Sustainment Support in Annapolis Junction, Maryland to support the operation, performance, and reliability of high-performance computing (HPC) environments spanning multi-vendor servers, clusters, and specialized processing systems. You'll manage Linux and Unix systems, troubleshoot complex infrastructure issues, and help optimize systems for demanding mission requirements. Key Responsibilities Install, configure, maintain, and troubleshoot Linux and Unix operating systems Manage file systems, system configurations, software installations, and system upgrades Monitor system health, performance, and resource utilization across HPC environments Troubleshoot operating system, application, networking, storage, and infrastructure issues Support TCP/IP networking and high-speed HPC network technologies Develop and maintain Bash scripts to automate system administration and operational tasks Compile, install, and maintain software and applications within Linux environments Support day-to-day operations and incident resolution across servers, storage, network devices, and related infrastructure Optimize system performance and resource utilization and assist with capacity planning Support users and technical teams with system access, configuration, and troubleshooting Document system configurations, procedures, and troubleshooting activities Escalate complex issues and communicate system status to technical teams and stakeholders Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Bachelor's degree in a technical discipline or related field and 5+ years of experience, or 10+ years of relevant experience without a degree Strong experience administering Linux and/or Unix operating systems Experience with OS installation, file system configuration, software installation, and application troubleshooting Working knowledge of TCP/IP networking Bash scripting experience Experience with software compilation and installation Understanding of HPC architectures and environments Familiarity with high-speed networking technologies such as InfiniBand and Slingshot Experience or familiarity with tools such as Slurm, Salt, Ansible, Git, Jira, Confluence, Grafana, Prometheus, and Nagios Strong analytical and troubleshooting skills with the ability to diagnose unique and complex system issues Ability to work effectively in a collaborative, mission-focused environment Compensation The anticipated salary range for this position is $83,000-$113,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
Position Overview TAP Engineering is seeking a System Administrator II in Annapolis Junction, Maryland to support the operation, performance, and reliability of high-performance computing (HPC) environments spanning multi-vendor servers, clusters, storage, and network infrastructure. This role combines Linux/Unix administration with hands-on storage support and troubleshooting across a complex technical environment. Key Responsibilities Install, configure, maintain, and troubleshoot Linux and Unix operating systems Support enterprise storage systems, including configuration, maintenance, monitoring, and troubleshooting Manage file systems, system configurations, software installations, and operating system upgrades Monitor and troubleshoot servers, storage, network components, and related IT infrastructure Diagnose and resolve Tier 1 and Tier 2 technical issues and escalate complex problems as needed Support TCP/IP networking and high-speed HPC technologies such as InfiniBand and Slingshot Develop and maintain Bash scripts to automate system administration and operational tasks Compile, install, and maintain software and applications within Linux environments Optimize system performance, resource utilization, and storage capacity Assist with capacity planning and infrastructure growth Maintain clear technical documentation and communicate system status and issues to stakeholders Collaborate with engineers and technical teams to improve system reliability and operational efficiency Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Bachelor's degree in a technical discipline or related field and 5+ years of experience, or 10+ years of relevant experience without a degree Strong experience with Linux and/or Unix system administration Experience with OS installation, file system configuration, software installation, and application troubleshooting Hands-on technical storage experience Working knowledge of TCP/IP networking Experience with Bash scripting, software compilation, and installation Understanding of HPC architectures and environments Familiarity with high-speed networking technologies such as InfiniBand and Slingshot Familiarity with tools such as Slurm, Salt, Ansible, Git, Jira, Confluence, Grafana, Prometheus, and Nagios Strong troubleshooting and problem-solving skills, with the ability to diagnose unique issues across complex systems Strong communication and collaboration skills Compensation The anticipated salary range for this position is $83,000-$113,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
09/24/2026
Full time
Position Overview TAP Engineering is seeking a System Administrator II in Annapolis Junction, Maryland to support the operation, performance, and reliability of high-performance computing (HPC) environments spanning multi-vendor servers, clusters, storage, and network infrastructure. This role combines Linux/Unix administration with hands-on storage support and troubleshooting across a complex technical environment. Key Responsibilities Install, configure, maintain, and troubleshoot Linux and Unix operating systems Support enterprise storage systems, including configuration, maintenance, monitoring, and troubleshooting Manage file systems, system configurations, software installations, and operating system upgrades Monitor and troubleshoot servers, storage, network components, and related IT infrastructure Diagnose and resolve Tier 1 and Tier 2 technical issues and escalate complex problems as needed Support TCP/IP networking and high-speed HPC technologies such as InfiniBand and Slingshot Develop and maintain Bash scripts to automate system administration and operational tasks Compile, install, and maintain software and applications within Linux environments Optimize system performance, resource utilization, and storage capacity Assist with capacity planning and infrastructure growth Maintain clear technical documentation and communicate system status and issues to stakeholders Collaborate with engineers and technical teams to improve system reliability and operational efficiency Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Bachelor's degree in a technical discipline or related field and 5+ years of experience, or 10+ years of relevant experience without a degree Strong experience with Linux and/or Unix system administration Experience with OS installation, file system configuration, software installation, and application troubleshooting Hands-on technical storage experience Working knowledge of TCP/IP networking Experience with Bash scripting, software compilation, and installation Understanding of HPC architectures and environments Familiarity with high-speed networking technologies such as InfiniBand and Slingshot Familiarity with tools such as Slurm, Salt, Ansible, Git, Jira, Confluence, Grafana, Prometheus, and Nagios Strong troubleshooting and problem-solving skills, with the ability to diagnose unique issues across complex systems Strong communication and collaboration skills Compensation The anticipated salary range for this position is $83,000-$113,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
Position Overview TAP Engineering is seeking a System Administrator II - Storage Support in Annapolis Junction, Maryland to provide end-to-end support for complex, distributed computing and storage environments. This role supports a multi-vendor, high-performance infrastructure spanning multiple sites and includes enterprise storage systems, Fibre Channel fabrics, networks, and Linux, Unix, and Windows operating systems. The technical environment includes multi-vendor high-performance storage platforms, mass storage subsystems, heterogeneous storage environments, client/server, storage, and network devices, enterprise and HPC computing environments, and storage management and monitoring tools. The System Administrator will be responsible for maintaining system availability, reliability, security, and performance while troubleshooting issues across hardware, operating systems, storage, networks, and client/server environments. The ideal candidate is comfortable working across multiple technologies, solving complex technical problems, and identifying opportunities to improve system performance and reliability. Key Responsibilities Provide support for the implementation, troubleshooting, and maintenance of IT systems Support day-to-day operations, monitoring, and incident response for storage environments Manage and sustain enterprise and HPC storage systems Support client/server, storage, and network devices Provide Tier 1 and Tier 2 support based on experience level Escalate issues appropriately and communicate status to Government and internal stakeholders Support dispatch operations for hardware-related issues and remain engaged through resolution Optimize system performance and resource utilization Perform system capacity analysis and planning Provide detailed troubleshooting and root cause analysis Document system configurations, procedures, and sustainment activities Follow Government-defined ticketing, change management, and operational procedures Maintain accurate system documentation and records Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Experience administering Linux-, Unix-, or Windows-based systems Experience supporting enterprise or HPC storage environments Strong troubleshooting and documentation skills Strong verbal and written communication skills Ability to support mission-critical systems in a 24/7 operational environment (as required) Ability to collaborate with Government and contractor personnel Compensation The anticipated salary range for this position is $83,000-$128,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
09/24/2026
Full time
Position Overview TAP Engineering is seeking a System Administrator II - Storage Support in Annapolis Junction, Maryland to provide end-to-end support for complex, distributed computing and storage environments. This role supports a multi-vendor, high-performance infrastructure spanning multiple sites and includes enterprise storage systems, Fibre Channel fabrics, networks, and Linux, Unix, and Windows operating systems. The technical environment includes multi-vendor high-performance storage platforms, mass storage subsystems, heterogeneous storage environments, client/server, storage, and network devices, enterprise and HPC computing environments, and storage management and monitoring tools. The System Administrator will be responsible for maintaining system availability, reliability, security, and performance while troubleshooting issues across hardware, operating systems, storage, networks, and client/server environments. The ideal candidate is comfortable working across multiple technologies, solving complex technical problems, and identifying opportunities to improve system performance and reliability. Key Responsibilities Provide support for the implementation, troubleshooting, and maintenance of IT systems Support day-to-day operations, monitoring, and incident response for storage environments Manage and sustain enterprise and HPC storage systems Support client/server, storage, and network devices Provide Tier 1 and Tier 2 support based on experience level Escalate issues appropriately and communicate status to Government and internal stakeholders Support dispatch operations for hardware-related issues and remain engaged through resolution Optimize system performance and resource utilization Perform system capacity analysis and planning Provide detailed troubleshooting and root cause analysis Document system configurations, procedures, and sustainment activities Follow Government-defined ticketing, change management, and operational procedures Maintain accurate system documentation and records Required Qualifications Active TS/SCI clearance with appropriate polygraph (most recent poly within the last 7 years) DoD 8570 IAT II certification Experience administering Linux-, Unix-, or Windows-based systems Experience supporting enterprise or HPC storage environments Strong troubleshooting and documentation skills Strong verbal and written communication skills Ability to support mission-critical systems in a 24/7 operational environment (as required) Ability to collaborate with Government and contractor personnel Compensation The anticipated salary range for this position is $83,000-$128,000, based on relevant experience, qualifications, and other applicable factors. The compensation range provided is a general guideline and is not a guarantee of compensation or salary. Clearance Requirement This position requires an active TS/SCI security clearance with appropriate polygraph. Clearance processing and maintenance will be conducted in accordance with U.S. Government requirements. Benefits Overview TAP Engineering offers a comprehensive and competitive benefits package, including: Paid Time Off: 15-25 days annually based on tenure, plus 11 paid holidays (never use-or-lose) Retirement: Up to 15% employer contribution to a 401(k) through match and profit sharing Medical Coverage: Free medical insurance for employees, with optional buy-up plans for dependents Dental & Vision: Employer-paid plans with optional enhancements Insurance Coverage: Employer-paid life insurance, AD&D, short-term disability, and long-term disability Flexible Spending Accounts: Healthcare and dependent care FSAs Tuition Reimbursement: Up to $36,000 per year for approved coursework Additional Benefits: Employee Assistance Program, wellness incentives, discount programs, virtual care, prescription savings, and travel support Performance-Based Rewards: Merit increases, performance bonuses, and referral bonuses Additional Information TAP Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law.
