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
ASM - Vulnarability Management Program Are you an experienced cybersecurity professional looking to take on complex challenges, expand your impact, and help clients reduce cyber risk? At Deloitte & Touche LLP, you'll work with leading organizations to strengthen security, enable innovation, and reduce threat exposure. Join Deloitte's Cyber Defense & Resilience Continuous Threat Exposure Management (CTEM) team to help clients identify, assess, and reduce their attack surface and overall cyber risk. In this role, you'll support high-impact client environments, collaborate with experienced cyber practitioners, and deliver solutions aligned to business and security priorities. Recruiting for this role ends on 06/30/2026 Work you'll do As a Senior Engineering Management Specialist on the Cyber Defense & Resilience Continuous Threat Exposure Management (CTEM) team, you will be responsible for: Supporting exposure-based remediation and patching programs aligned to CTEM priorities Managing day-to-day vulnerability and patch management activities across infrastructure, middleware, and applications Analyzing vulnerability data, exploitability, attack paths, asset criticality, and exposure trends to help prioritize remediation Coordinating with client stakeholders and technical teams to track remediation, exception handling, emergency patching, and reporting Preparing client deliverables, documenting processes, and contributing to quality execution across engagements 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 At Deloitte, our Cyber Specialists help organizations manage cyber risk and drive business value through stronger security, greater visibility, and embedded privacy. By combining program design, implementation, operations, and incident response capabilities with industry knowledge, we help clients protect critical assets, support secure digital transformation, and respond to an evolving threat landscape. Qualifications Required: 5+ years of experience in information technology, information security, or both Experience supporting vulnerability management, patch management, or continuous threat exposure management (CTEM) remediation programs Experience remediating vulnerabilities across Linux, Windows, middleware, and applications using tools such as BigFix, Microsoft Endpoint Configuration Manager (MECM), Red Hat Satellite, Windows Server Update Services (WSUS), Tenable, Rapid7, or Qualys Experience automating remediation workflows using PowerShell, Bash, Python, JavaScript Object Notation (JSON), Ansible, Terraform, or a combination of these Experience using Information Technology Service Management (ITSM) or configuration management database (CMDB) platforms such as ServiceNow Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 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: Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, Information Technology, or a field aligned to the role Experience in a consulting environment or with a Big 4 firm Experience with ServiceNow workflows, automation, or orchestration Experience with frameworks such as the National Institute of Standards and Technology Cybersecurity Framework (NIST CSF), Center for Internet Security (CIS), International Organization for Standardization 27001 (ISO 27001), or Cloud Security Alliance Cloud Controls Matrix (CSA CCM) Experience preparing status reporting, dashboards, or remediation metrics for stakeholders 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.
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 7/31/2026. 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 Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field. 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 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
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Tapestry Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Recruiting for this role ends on 8/11/2026 Work you'll do/Responsibilities Build and configure for the enhancements and capital projects within the Tapestry UM module area across all client regions, specifically Service Authorizations. 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 Operations and Technology Transformation delivers market leading expertise and industry depth by harnessing deep sector knowledge, scaling the power of hybrid services and products, and unlocking the power of Process Bionics to deliver sustainable and impactful solutions to our clients. We advise, design, implement, and deploy innovative and technology enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media and Energy & Resources. Our OTT team brings clients the knowledge of industry leaders who understand the relevant processes and technologies for their industry-and apply them with a process and mindset that tailors transformational change to their specific organization. Qualifications Required Must have a current Epic Tapestry Certification (any of these Claims, Membership, Enrollment & Eligibility, CRM, Utilization Management) 2+ years of recent build and configuration experience on any of the Epic Tapestry modules Experience in application build and go-live, along with extensive experience in Service Authorization implementation, workflows, troubleshooting, testing, and support Good interpersonal and communication skills Demonstrative understanding of technical documentation Bachelor's degree, preferably in information technology, business, or healthcare related field; or equivalent experience Limited immigration sponsorship may be available Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Role is remote Preferred Work Experience/Direct knowledge of Utilization Management or Tapestry Utilization Management build Strong desktop skills including Word, Excel, PowerPoint Work Experience/Direct Knowledge of clinical area or business area to be supported Analytical/ Decision Making Responsibilities Analytical ability to manage multiple projects and prioritize tasks into manageable work products Can operate independently or with minimum supervision Excellent Written and Communication Skills Ability to deliver technical demonstrations 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 $85,000 - $110,000. 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. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [email protected].
Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance. The role is focused on helping clients improve operational efficiency, accelerate digital t ransformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions. We are seeking a candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations. Recruiting for this role ends on 06/01/2026. Work You'll Do The ideal candidate will bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and i mplementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support pursuits, and contribution to market eminence. * Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation * Translate business and operational priorities into transformation roadmaps and technical strategies * Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation * Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation * Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers * Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge i nfrastructure, AI/ML services, spatial context, and enterprise applications * Implement integration of physical/spati al AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-relat ed ecosystems, and enterprise platforms * Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner * Help shape Deloitte's market-facing capabilities focused on digital twins, OT t ransformation, and spatial/physic al AI use cases across priority sectors The Team Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively. In this role, you will work at the intersection of AI, engineering, operational technology, and industry t ransformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments. Qualifications Required * Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field * 3+ years of relevant experience in consulting, industry, or a combination of both * Experience working with clients on digital twin, spatial technologies, OT t ransformation, industrial/edg e AI, or related operational technology initiatives * Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services * Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to * NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments * GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder * Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms * Ability to travel up to 50% on average, based on the work you do and the clients and industries/sec tors you serve * Limited immigration sponsorship may be available. Preferred * Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles * Experience in data center, sports venue, consumer, or retail environments * Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations * Experience contributing to proposal development, pursuit teams, or opportunity shaping activities * Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/complia nce monitoring, or spatial operations * Experience with enterprise integration, IT/OT convergence, and real-time operational decision support * Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline * Strong presentation skills and comfort communicating with both business and technical audiences Wages + Salary 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 c ertifications; 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 $ 116,200 to $ 229,100. 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.
As a Group Engineering Manager , you will shape and communicate a strategic vision for modern software engineering. You will provide hands-on leadership across multiple high-impact products, ensuring our solutions are innovative, effective, scalable, reliable, and aligned with business goals. You will lead from the front to develop and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. Leveraging your deep expertise in software engineering-including application and data integration, modern frameworks, and diverse technologies, you will guide teams in delivering robust, high-quality solutions. As a role model and mentor, you will foster a culture of technical excellence, continuous learning, and collaboration. Your ability to inspire and develop engineering talent, while partnering with cross-functional teams, will be essential to our ongoing success and the value we deliver to Deloitte's business. Recruiting for this role will end on August 28, 2026. Work you'll do Strategic Vision and Alignment: Accountable for defining, communicating, and continuously refining a compelling engineering vision that translates business objectives into actionable strategies. Ensure engineering teams are aligned and engaged, collaborating closely with product, experience, delivery, infrastructure, and security teams. Leverage technical artifacts and feedback loops to illustrate and evolve the vision. Advocacy and Technology Roadmap: Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance. Promote a culture of reuse, quality, and speed to maximize outcomes. Actively engage and energize teams around the engineering vision and its alignment with business and technology goals. Craft Mastery and Objectives Realization: Define and drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability. Maintain and evolve engineering dashboards (planning, code quality, CI/CD, performance, security, operations). Contribute hands-on to design and code, mentor engineers, and resolve technical challenges. Inspire teams to adopt new technologies and best practices, fostering a passion for engineering excellence. Capability Evolution and Development: Being an engineering expert, mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, data engineering, DevSecOps, and advanced deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Lead by example through thought leadership-speaking at conferences, publishing, R&D, or collaborating with academia. Cultivate a growth mindset and modern engineering behaviors across the team. Iterative Value Delivery: Embrace an iterative and incremental product development, favoring action, prioritizing rapid learning, and adaptation over extensive upfront planning. Apply leaning-forward approach and empirical methods to navigate complexity, ensuring each iteration delivers value and aligns with customer and business needs. Customer-Centric Problem Solving: Maintain a relentless focus on solving the most critical customer challenges. Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance through continuous learning and collaborative execution. Tech/Quality Risk Management: Establish and evolve engineering standards, coding practices, and quality benchmarks to ensure robust, secure, and scalable solutions. Proactively identify and mitigate technical risks, ensuring operational excellence and resilience. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels. 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 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. An advanced degree (e.g., MS) is preferred but not required. Enterprise experience is the most relevant factor. Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing). 15+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks. 10+ years of hands-on experience with building and scaling highly available, resilient distributed systems usingcloud-native integration services on one or more hyper-scalers like Azure, AWS, GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh). 7+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement. 2+ years of experience in building production systems using cloud native Agentic AI services with right observability and operational excellence. Proven ability to lead organizational transformation and drive adoption of modern engineering practices at scale, including cross-functional collaboration. Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning. Preferred: Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly. Strong understanding of secure by design, privacy, and compliance requirements in enterprise software engineering. Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Limited immigration sponsorship may be available 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 $151400 to $31100. 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.
As a Lead Engineering Manager , you will help shape and communicate a strategic vision for modern software engineering. You will provide hands-on leadership across multiple high-impact products, ensuring our solutions are innovative, effective, and aligned with business goals. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. Leveraging your deep expertise in software engineering-including application and data integration, modern frameworks, and diverse technologies-you will guide teams in delivering robust, high-quality solutions. As a role model and mentor, you will foster a culture of technical excellence, continuous learning, and collaboration. Your ability to inspire and develop engineering talent, while partnering with cross-functional teams, will be essential to our ongoing success and the value we deliver to Deloitte's business. Recruiting for this role ends on August 28, 2026. Work you'll do Strategic Vision and Alignment: Contribute to defining, communicating, and continuously refining a compelling engineering vision that translates business objectives into actionable strategies. Ensure engineering teams are aligned and engaged, collaborating closely with product, experience, delivery, infrastructure, and security teams. Leverage technical artifacts and feedback loops to illustrate and evolve the vision. Advocacy and Technology Roadmap: Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance. Promote a culture of reuse, quality, and speed to maximize outcomes. Actively engage and energize teams around the engineering vision and its alignment with business and technology goals. Craft Mastery and Objectives Realization: Drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability. Maintain and evolve engineering dashboards (planning, code quality, CI/CD, performance, security, operations). Contribute hands-on to design and code, mentor engineers, and resolve technical challenges. Inspire teams to adopt new technologies and best practices, fostering a passion for engineering excellence. Capability Evolution and Development: Being an engineering expert, mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, data engineering, DevSecOps, and advanced deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Lead by example through thought leadership-speaking at conferences, publishing, R&D, or collaborating with academia. Cultivate a growth mindset and modern engineering behaviors across the team. Iterative Value Delivery: Embrace an iterative and incremental product development, favoring action, prioritizing rapid learning, and adaptation over extensive upfront planning. Apply leaning-forward approach and empirical methods to navigate complexity, ensuring each iteration delivers value and aligns with customer and business needs. Customer-Centric Problem Solving: Maintain a relentless focus on solving the most critical customer challenges. Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance through continuous learning and collaborative execution. Tech/Quality Risk Management: Establish and evolve engineering standards, coding practices, and quality benchmarks to ensure robust, secure, and scalable solutions. Proactively identify and mitigate technical risks, ensuring operational excellence and resilience. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels. 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 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. An advanced degree (e.g., MS) is preferred but not required. Enterprise experience is the most relevant factor. 10+ years with software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing). 15+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks. 8+ years of hands-on experience with cloud-native integration services on one or more hyper-scalers like Azure, AWS, GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh). 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement. 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: 3+ years of experience with AI/ML; experience with the latest GenAI models is preferred. Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly. Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration. Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning. Strong understanding of security, privacy, and compliance requirements in enterprise software engineering. Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. 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 $130900 to $268700. 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 Engineering Manager , you will help shape and communicate a strategic vision for modern software engineering. You will provide hands-on leadership across multiple high-impact products, ensuring our solutions are innovative, effective, and aligned with business goals. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. Leveraging your deep expertise in software engineering-including application and data integration, modern frameworks, and diverse technologies-you will guide teams in delivering robust, high-quality solutions. As a role model and mentor, you will foster a culture of technical excellence, continuous learning, and collaboration. Your ability to inspire and develop engineering talent, while partnering with cross-functional teams, will be essential to our ongoing success and the value we deliver to Deloitte's business. Recruiting for this role ends on August 28, 2026 Work you'll do Strategic Vision and Alignment: Contribute to defining, communicating, and continuously refining a compelling engineering vision that translates business objectives into actionable strategies. Ensure engineering teams are aligned and engaged, collaborating closely with product, experience, delivery, infrastructure, and security teams. Leverage technical artifacts and feedback loops to illustrate and evolve the vision. Advocacy and Technology Roadmap: Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance. Promote a culture of reuse, quality, and speed to maximize outcomes. Actively engage and energize teams around the engineering vision and its alignment with business and technology goals. Craft Mastery and Objectives Realization: Drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability. Maintain and evolve engineering dashboards (planning, code quality, CI/CD, performance, security, operations). Contribute hands-on to design and code, mentor engineers, and resolve technical challenges. Inspire teams to adopt new technologies and best practices, fostering a passion for engineering excellence. Capability Evolution and Development: Being an engineering expert, mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, data engineering, DevSecOps, and advanced deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Lead by example through thought leadership-speaking at conferences, publishing, R&D, or collaborating with academia. Cultivate a growth mindset and modern engineering behaviors across the team. Iterative Value Delivery: Embrace an iterative and incremental product development, favoring action, prioritizing rapid learning, and adaptation over extensive upfront planning. Apply leaning-forward approach and empirical methods to navigate complexity, ensuring each iteration delivers value and aligns with customer and business needs. Customer-Centric Problem Solving: Maintain a relentless focus on solving the most critical customer challenges. Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance through continuous learning and collaborative execution. Tech/Quality Risk Management: Establish and evolve engineering standards, coding practices, and quality benchmarks to ensure robust, secure, and scalable solutions. Proactively identify and mitigate technical risks, ensuring operational excellence and resilience. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels. 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 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. An advanced degree (e.g., MS) is preferred but not required. Enterprise experience is the most relevant factor. 15+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks. 10+ years software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing). 8+ years of hands-on experience with cloud-native integration services on one or more hyper-scalers like Azure, AWS, GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh). 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement. 3+ years of experience with AI/ML; experience with the latest GenAI models is preferred. Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly. Limited immigration sponsorship may be available Ability to travel 0-10%, on average, based on the work you do Preferred: Strong understanding of security, privacy, and compliance requirements in enterprise software engineering. Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration. Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning. 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 $130900 to $268700. 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
Job Description: Job Title Mobile Site Reliability Engineer Corporate Title Assistant Vice President Location Jacksonville, FL Overview As a Site Reliability Engineer within the End User Computing team, you will play a critical role in ensuring the security, stability, and performance of both corporate and Bring Your Own (BYO) mobile devices. You will support a diverse device ecosystem, including corporate-managed Apple devices (iPhones, iPads, and MacBooks) as well as BYO Apple and Android phones and tablets. Acting as a senior escalation point, you will manage complex incidents, enhance platform stability through observability, and continuously improve operational processes. You will collaborate closely with cross-functional technology teams to plan and execute well-governed, low-risk changes across mobile and macOS platforms. As part of a global follow-the-sun support model, you will provide senior-level coverage for the Americas and early APAC regions, ensuring critical platforms remain secure, reliable, and available for the Bank’s daily operations. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs What You’ll Do Level 3 incident response – you will be the senior escalation point for all mobile & mac production platform issues, investigating the issue to resolution, documenting and providing knowledge to lower teams for repeatable issues, coordinating with engineering, product management, and vendor support teams to identify and remediate issues. You will participate in the post-mortem problem exercises for major incidents Change planning and implementation – working with our engineering and product teams in an Agile format, you will plan product enhancements and fixes, complete the ITIL change process, and implement the change safely. You will be a key part of the implementation of ongoing enhancements to our product including the development of pipelined configuration deliveries Observability and platform health – you will develop monitoring solutions with Graph APIs (with Python, PowerShell, or Power Platforms) and other available platforms to help proactively identify issues, and ideally self-heal or automate response Disaster recovery – you will help ensure compliance with our Disaster Recovery framework, including participation in routine testing, providing technical expertise for testing plans, and automating plans via Ansible, Application Programming Interface (APIs), or other means to minimize human effort Skills You’ll Need Proven experience engineering or providing advanced platform support for managed Apple devices – preferably both macbooks and mobiles - with an MDM like JAMF or Intune Strong understanding and technical troubleshooting skills with Apple macOS Proven experience in end-user support, writing clear documentation for end-users and frontline teams, leading incident response and resolution, and participating in resolution of major platform issues Experience or knowledge troubleshooting networking concepts like DNS, Traded Credit Positions (TCP) handshake behavior, PAC files Familiarity with automation scripting, tooling, and concepts (e.g. APIs, Python, Ansible) Skills That Will Help You Excel Experience with Apple SSO, Microsoft Entra ID identity and authentication concepts including Conditional Access Experience providing platform support in large enterprise organizations, or working across global locations Experience working in ServiceNow or a similar platform for incident, request, and change management Familiarity with Site Reliability Engineering concepts – we are transforming from traditional ops to SRE and are looking for a champion to help drive adoption of SRE concepts in the team Expectations It is the Bank’s expectation that employees hired into this role will work in the Jacksonville office in accordance with the Bank’s hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in New York City is $ $78,000 to $120,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration. Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more! Learn more about your life at Deutsche Bank through the eyes of our current employees https://careers.db.com/life The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email [email protected] . #LI-HYBRID We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; and Employee Polygraph Protection Act .