As a Manager GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 31st May 2026. Work You'll Do: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others Qualifications Required: A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 8+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Ability to travel 10%, on average, based on the work you do and products you build. Limited immigration sponsorship may be available. Preferred: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #EA_ExpHire #EA_ITS_ExpHire #PXE_JOBS
As a Lead Full-stack Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on August 28, 2026 Work you'll do Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications Required: A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. 5+ years of experience with multiple programming languages such as NodeJS, Python, C#, .NET Core, Golang, SQL/NoSQL, React, as well as unit testing frameworks. 5+ years of experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. 5+ years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena). 1+ years of experience with AI/ML and GenAI. Ability to travel 10%, on average, based on the work you do and products you build. Limited immigration sponsorship may be available. Preferred: Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. Wage Disclosure The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102500 to $210600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ExpHire
As a Lead ServiceNow Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on Aug 28, 2026 Work you'll do Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications Required: A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. 5 + years of hands-on experience with ServiceNow development, including JavaScript, Business Rules, Script Includes, UI Actions, Client Scripts, Flow Designer, ServiceNow APIs, and GlideRecord queries. 5 + years of experience with ServiceNow cloud-native platform capabilities such as ITSM, ITOM, CMDB, ITBM, HRSD, CSM, and ServiceNow integration. 1 + year of experience with ServiceNow AI/ML and GenAI features such as Predictive Intelligence, Virtual Agent, and Now Intelligence. Ability to travel 10%, on average, based on the work you do and products you build. Limited immigration sponsorship may be available. Preferred: Experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers such as Azure, AWS, or GCP. Prior software engineering experience with an understanding of Business Context Diagrams (BCDs), sequence, activity, state, entity relationship, and data flow diagrams, as well as OOP/OOD, data structures, algorithms, and code instrumentation. Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, and SonarQube to rapidly deliver high-quality solutions, as well as familiarity with ServiceNow-specific tools like ServiceNow Studio, Automated Test Framework (ATF), and ServiceNow CI/CD practices. Wage Disclosure The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102500 to $210600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #EA_ExpHire
Location(s) Alpharetta, Georgia, Birmingham, Alabama, Jacksonville, Florida Details Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. We are seeking an experienced Full Stack Developer focused on Java/Guidewire Claimcenter. Be a deep technical expert in the property & casualty insurance claim domain. In this role, you will design and code scalable solutions, influence architecture, and provide guidance through technical excellence. You will work on Guidewire ClaimCenter and its surrounding middleware (Java/SpringBoot, AWS SQS/SNS, AWS Lambdas, AWS PostgreSQL, etc). Position Responsibilities: Design robust, high-performance solutions across systems and services Serve as a key technical contributor on critical projects or initiatives within the property & casualty insurance claim domain Act as a resource for others by sharing deep technical knowledge and context - without formal leadership or management duties Evaluate and advocate for improvements in system architecture, technical standards, and development processes Collaborate with stakeholders across engineering and product to align technical implementation with business needs Create proof of concepts to demonstrate capabilities Enforce standard coding and security best practices Work within SAFe (Scaled Agile Framework) Position Qualifications: Bachelor’s degree in computer science, computer engineering, or a related field; advanced degree preferred 8 or more years of full stack Java developer experience Expert-level understanding of the full SDLC Ability to identify bottlenecks or inefficiencies in the software development lifecycle and propose improvements Deep familiarity with wide range of software design patterns and architectural principles, applying them to design scalable and maintainable systems Guidewire ClaimCenter experience is strongly desired Knowledge of auto insurance; commercial & personal auto lines preferred Expertise with most of the following: Languages such as Java, Gosu, Kotlin, HTML/CSS, JavaScript, TypeScript Standard design patterns Spring Boot and container orchestration (EKS/ECS) CI/CD, Containerization and Orchestration Unit testing and integration testing Version control systems (e.g. Git) RESTful APIs and microservices AI Prompt/Agentic Engineering Monitoring and logging via tools like AppDynamics and Splunk SQL and secure coding practices Cloud-native architecture and AWS services Frameworks such as Angular, React, Vue This position works at the Kemper office Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. #LI-AK
As a Manager, ServiceNow SRE Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive SRE engineering craftsmanship and advanced proficiency across multiple programming languages, SRE tools, and modern frameworks, consistently demonstrating your exemplary track record in maintaining production systems with high-quality, modern observability practices, and SLAs. The ideal candidate will be a role model and an engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on August 28, 2026 Work you'll do Outcome-Driven Accountability: Owns and drives cost-effective solutions for platform operations, focusing on stability, resilience, and automated optimizations to reduce maintenance costs and meet business KPIs. Technical Leadership and Advocacy: Champions modern SRE practices, ensuring alignment with business goals and operational standards. Responsible for requirement analysis, automation, integration, monitoring, and ongoing support. Engineering Craftsmanship: Hands-on contributor who maintains system integrity, solves complex problems through automation and predictive analytics, engineers modern solutions, and drives operational excellence. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time, quickly responds to incidents, and engages with stakeholders to deliver timely operational fixes. Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Works with diverse teams to make informed decisions, balancing feasibility, usability, and value, and fosters team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices, SRE, Agile, DevSecOps, and CI/CD, Observability, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches, optimizing automation and supporting high-quality outcomes throughout the product lifecycle. Domain Expertise: Quickly learns domain-specific knowledge, translates business needs into operational plans, and drives operational discipline using metrics and root-cause analysis. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications Required: A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. 6+ years proven experience with ServiceNow administration, ServiceNow analytics and reporting, and infrastructure management (including SSO, certificates, MID Server, PowerShell, and JavaScript), with a strong focus on ensuring platform reliability by monitoring incidents and health metrics, resolving issues through logs, and leveraging best practices in change, release, and automation to improve operational and platform efficiency. 5+ years of hands-on experience in implementing and administering monitoring solutions (Dynatrace, ServiceNow Instance Observer, Cloud Watch, Azure Monitor). 5+ years of hands-on experience in hosting highly available cloud native applications, using auto-scaling, self-resilient architectures, across various cloud service providers such as Azure, AWS and GCP. 3+ years of hands-on experience with troubleshooting application and infrastructure issues in production environment, with high accuracy, conducting root cause analysis, providing preventive measures based on RCA on multiple cloud providers, including ServiceNow. 3+ years of experience in defining SLO and SLI for cloud native applications, measuring, reporting and alerting using custom scripts or monitoring solutions. 1+ years of experience with AI/ML, GenAI, and specifically AIOps. Certifications: ServiceNow Certified System Administrator (CSA) and at least one ServiceNow Certified Implementation Specialist (CIS) certification in a major module such as ITSM, CSM, HRSD, or APM. Ability to travel 10%, on average, based on the work you do and products you build. Must be a US Citizen Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: Prior experience with cloud providers security practices, networking, cloud administration, database technologies and maintenance, firewalls, and load balancers. Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, CI/CD, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. Nashville/Hermitage Preferred Location Wage Disclosure The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113100 to $232300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ExpHire
The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications. Recruiting for this role ends on 8/31/2026. Work you'll do As an AI Solutions Leader on the Insights, Innovation & Operate team, you will be responsible for... Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to mentor and provide clear guidance to others The team Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value Qualifications Required: Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience 8+ years of experience in product sales, software engineering, technology architecture, or data engineering 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment 8+ years of experience leading technical teams, including onshore and offshore teams 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Master's degree in a technical field Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Simpson Strong-Tie is a leader in engineered structural connectors, software, and solutions for the building industry. We maintain a reputation as a trusted manufacturer, partner, and corporate citizen committed to our customers and employees. Our founder, Barc Simpson established 9 Principles of Business we live out as company values and have made Simpson Strong-Tie an inspiring place to work since 1956. Our team of talented people are dedicated to our shared mission: to provide solutions that help people design and build safer, stronger structures. Learn about our company culture directly from our team. YOU As a Component Manufacturing Implementation & Support Specialist - Truss Design, you will oversee the consultation, implementation, training and support of Simpson Strong-Tie’s component solutions software. You will work alongside branch sales representatives to identify opportunities and provide software solutions for current and prospective customers. You will play an integral role on the Component Manufacturing sales team and will coordinate their efforts to ensure they are in alignment with the overall team, branch, and company objectives to grow Simpson Strong-Tie’s Component Manufacturing market segment. As the Implementation & Support Specialist you will work with Regional Sales Managers, Component Manufacturing teams, Marketing, and other TSRs to develop/coordinate sales strategies and programs; and communicate appropriate market trends and field intelligence to provide to Management and Operations to ensure customer satisfaction. WHAT YOU’LL BE DOING Manage the customer software implementation process. This will include developing and managing the implementation schedule, establishing customer success measures in alignment with system capabilities, advising on best practices, installing and configuring the system while developing, documenting, and facilitating end-user training. (50%) Coordinate projects with our Design Services and Component Review Services teams, working closely with internal and external customers to document, schedule, manage, design, and review projects as required. (15%) Act as a liaison between the customer and our software product and development teams by acting as a subject matter expert and bridge between all parties. You will translate end-user requirements and issues into technical requirements for our software and development teams to further enhance the system to meet the needs of our customers. You will assist internal teams in testing new features, ensuring alignment with customer needs. As enhancements are released, you will work with our customers on enhancement deployment and validation to ensure they meet our customer’s requirements. (15%) Provide ongoing post-implementation support and training of ICS software systems, including assisting ICS Help Desk with existing customer support needs. (10%) Collaborate with the sales team by assisting them in performing client needs assessment to determine potential customer fit, advising on the technical capabilities of our software for demonstrations, and identifying technical requirements of the customer and ensuring our software can meet their needs. (10%) DESIRED SKILLS AND EXPERIENCE If you can do everything listed above, you’ve got what it takes. Perhaps some of the following would be helpful too: Bachelor’s degree preferred. 3-5 years of design and engineering of prefabricated metal plate connected wood trusses and/or EWP. Understanding of wood framed construction practices, details, related building codes and design standards preferred. Analysis/Reasoning: Ability to make sound business judgments. Creative & Innovative Thinking: Ability to exhibit creativity and innovation when contributing to organizational and individual objectives. Decision Making & Judgement: Ability to balance analysis, wisdom, experience, and perspective when making decisions. Mathematical Reasoning: Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Problem Solving: Ability to identify options for solving a problem and evaluate the strengths and weaknesses. Adaptability & Flexibility: Ability to respond positively to change, embracing and using new practices or values to accomplish goals and solve problems. Customer Focus: Ability to build and sustain productive customer relationships. Relationship Building: Ability to work collaboratively with employees within department and across functions. Organization & Prioritization: Ability to manage multiple projects and priorities simultaneously as well as quickly reallocate resources in order to respond to changing customer and team member needs. Computer/Software/Technology: Ability to utilize Microsoft Office suite, working knowledge of SQL databases, and basic understanding of computer networking, along with hardware and software troubleshooting. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to stand, walk, sit, see, talk, and hear. While performing the duties of this job, the employee may occasionally push or lift up to 50 lbs. This job operates in both a professional office environment, customer sites and outdoor construction job sites. This role routinely uses standard office equipment such as computers, phones, printers/scanners, etc. The employee occasionally works around moving mechanical parts. Noise level may be loud at times. TRAVEL This job requires approximately 60% domestic travel. WORK STATUS & LOCATION This full-time, exempt position can be located anywhere in Northeast and Southeast regions near a major metropolitan area. It is eligible for remote work. RELOCATION Relocation is not available for this position. PAY $71,900 - $115,000 / year #LI-Remote REWARDS AT SIMPSON STRONG-TIE We recognize and reward employees with a carefully designed and comprehensive rewards package, including competitive compensation, quarterly bonuses or commission and first-rate benefits. May exclude some positions, such as seasonal jobs. Quarterly Bonuses/Commission: You will be eligible for either a bonus or commission, paid on a quarterly basis. We believe all employees affect customers, sales and revenue — directly or indirectly – and should be rewarded by sharing the company profits. Benefits: We provide a wide range of benefits for eligible full-time employees including: medical, dental, vision, retirement contributions, employee stock purchase and bonus plans, pay for holidays, vacation, sick days, funerals and jury duty, years of service awards, employee discounts, employee referral bonuses, charitable contribution matching, education reimbursement and more. View benefit plan details here: https://benefits.strongtie.com/. In keeping with our values and commitment to diversity, equity, and inclusion in our communities, we are an equal opportunity employer. This means that our employment decisions are based on your qualifications and merit, and our business needs. Please note all job offers are contingent upon a successful drug screen and criminal background check, in accordance with applicable local, state, and federal laws. #NowHiring #GetHired #Hiring #HiringNow Company: Simpson Strong-Tie Company Inc.
Cyber Data Protection Manager Are you passionate about helping leading organizations reduce cyber risk, protect critical data, and build resilience in an increasingly complex digital world? If so, consider joining Deloitte & Touche LLP's growing Cyber Risk Digital Trust & Privacy practice. Our teams work with clients to deliver business-driven data protection and privacy solutions that not only address regulatory requirements, but also enable secure growth, strengthen trust, and improve operational effectiveness. You'll help organizations harness emerging and innovative technologies to better understand their data, protect what matters most, and stay ahead of evolving threats. Recruiting for this role ends on 6/5/2026. Work You'll Do Serve as a subject matter expert and trusted advisor to clients, helping them assess strategic and practical data protection needs in response to emerging risks Assist clients in designing, implementing and operating technology and process solutions to reduce data risks Assist clients with developing requirements, evaluating vendor solutions, architecting, implementing and operating data protection solutions Lead client engagements and drive results by: Driving day-to-day execution, communicating updates to clients and firm leadership Providing leadership and support to delivery teams to ensure completion and accuracy of high-quality work products Tracking and reporting on project timelines to ensure on time and on budget delivery Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback, sharing experiences and creating opportunities for professional growth Manage and lead the proposal development process Contribute to Deloitte's thought leadership in client organizations and external marketplace Help foster an inclusive, collaborative, and high-performing team environment Stay current on industry trends in cyber risk, data protection, and emerging technologies The Team Enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data. Qualifications Required: 7+ years of professional experience in data protection and information security, which may include Data Discovery, Data Classification and Rights Management (DCRM, DRM, IRM), Data Access Governance(DAG), Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), Cloud Security and SaaS Security (e.g., AWS security, Azure/M365 security, Databricks, Snowflake) 3+ years of professional experience developing data protection strategies, roadmaps and frameworks, including designing, implementing and operating data protections services 3+ years of total hands-on technical experience and/or architecture-level experience with two or more data protection technologies Experience with collaboration security, SharePoint security, SharePoint Advanced Management, SharePoint lifecycle management, or data access governance controls Hands-on technical experience and/or architecture-level experience with Microsoft Purview, including one or more of the following: DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities Knowledge of AI security and governance concepts, including data protection considerations for generative AI, copilots, agents, or other AI-enabled business use cases Experience defining data protection use cases, documenting business requirements and evaluating technology solutions Experience leading collaborative efforts across organizational silos, including multifunctional teams of IT professionals, legal/compliance teams, and business executives Experience managing project plans, budgets, staffing, and executive-level stakeholder communications in a consulting or client-facing environment Familiarity with change management, deployment and operational processes in large IT organizations Professional certifications such as CISSP, CISM, CCSP, SC-100, SC-400, AWS Security Specialty or similar. Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science, Information Technology or related field Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited Sponsorship may be offered. Preferred: Significant industry work experience preferred Experience with public cloud (Azure, AWS, GCP) security and modern data platforms (e.g., Snowflake, Data bricks) Experience with third-party DSPM, data discovery, or data governance solutions such as Cyera, Securiti, Varonis, Sentra, AvePoint, Atlan, or Collibra Familiarity with sophisticated multinational companies and distributed business models Experience in regulated industries and familiarity with requirements such as HIPAA, PCI DSS, SOX, or global privacy obligations. Demonstrated success contributing to proposals, practice growth, market eminence, or people development. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,200 - $265,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #CyberDTP27
Non-Human Identity Senior Consultant Join Deloitte's Cyber team to help clients secure the machine, service, and application identities that power modern digital environments. In this role, you will assess, design, and implement Non-Human Identity controls across cloud and hybrid ecosystems, with a focus on governance, secrets management, and privileged access. You will work with clients to reduce identity risk, improve operational resilience, and strengthen security across automation pipelines and platforms. This is an opportunity to contribute to an evolving capability area while delivering solutions in a high-demand cybersecurity market. Recruiting for this role ends on 6/5/2026. Work you'll do As a Non-Human Identity SC on the Cyber team, you will help clients secure machine, service, and application identities across cloud and hybrid environments by: Assessing client environments to identify Non-Human Identity risks, including secrets sprawl, over-permissioned service accounts, orphaned credentials, and lifecycle governance gaps Designing and deploying governance, privileged access, and secrets management capabilities for non-human identities across cloud, hybrid, and containerized platforms Implementing controls such as credential vaulting, automated rotation, just-in-time access, workload identity federation, and application credential integrations using enterprise and cloud-native tools Advising clients on Non-Human Identity architecture, operating procedures, and implementation plans, including high-level design, low-level design, and runbooks Leading project workstreams, supporting proposals and statements of work, and contributing to practice development through reusable assets and market-facing content The team Our team helps organizations secure the identities of machines, services, and applications that support digital infrastructure. As cloud adoption, automation, and platform engineering expand, non-human identities have become a growing attack surface. We work with clients to improve visibility, establish governance, and implement controls that support secure and resilient operations. Qualifications Required: Bachelor's degree in Computer Science, Cybersecurity, Information Security, Engineering, Information Technology, Finance, Business, or a similar field 4+ years of experience developing, implementing, or architecting information systems 4+ years of experience implementing Privileged Access Management or secrets management solutions in cloud environments, hybrid environments, or both 4+ years of experience with at least 1 enterprise Privileged Access Management platform or secrets management platform, such as CyberArk, BeyondTrust, Delinea, HashiCorp Vault, Amazon Web Services Secrets Manager, or Azure Key Vault 4+ years of experience in at least 3 of the following: automated credential rotation, application credential vaulting, service account governance, service account provisioning and deprovisioning, entitlement reviews, least-privilege access design, integration with Lightweight Directory Access Protocol or Active Directory, integration with Kubernetes, Terraform, Jenkins, or GitHub Actions, scripting in PowerShell, Python, or Bash, or automation using Representational State Transfer application programming interfaces Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: 1+ year of consulting experience Experience with at least 1 Non-Human Identity or machine identity platform, such as Astrix Security, Entro Security, Clutch Security, Venafi, or Teleport Experience with at least 1 of the following: SPIFFE, SPIRE, workload identity federation, Istio, or Consul Experience securing identities in at least 1 continuous integration, continuous delivery, or infrastructure as code environment, such as GitHub Actions, Jenkins, Terraform, or Kubernetes 1 or more of the following certifications: AWS Certified Security - Specialty, Microsoft Azure Security Engineer Associate (AZ-500), Google Professional Cloud Security Engineer, or Certified Cloud Security Professional 1 or more of the following certifications: CyberArk Certified Delivery Engineer or Certified Information Systems Security Professional The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #CyberDTP27
Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture. You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Recruiting for this role ends on 6/5/2026. Work you will do: Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making Developing solutions to client problems through application of methods and tools; validating solutions to SMEs Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools Demonstrating accountability and contributions to the successful realization of client goals The Team: Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today. Required Qualifications We require 3-5 years of experience for all skill areas below: Hands-on experience in full stack software development across frontend and backend technologies. Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP. Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript. Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments. Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot). Experience building and consuming REST APIs and microservices. Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB. Experience using Git and development lifecycle tools such as Azure DevOps. Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation. Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP. Experience working in Agile/Scrum delivery environments. Cloud certification in AWS, Azure, or GCP Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available Preferred Qualifications Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field. Experience with Docker, container-based application development, and serverless architectures. Experience with secure development practices or cybersecurity-focused application development. Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments. Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK. Experience contributing to project planning, estimation, or risk tracking. Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback. Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions. Strong written and verbal communication skills in cross-functional team environments. Cloud certification in AWS, Azure, or GCP. Familiarity with OpenSearch or Elasticsearch. Exposure to graph databases such as Neo4j or Memgraph. Familiarity with build tools such as Maven or Gradle. Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments. Familiarity with DevOps or DevSecOps practices. Knowledge of web security, GitOps, and Kubernetes customization. Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch. Compensation The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 - 208,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #CyberDTP27