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An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary At Marathon, we are trailblazers in the Oil & Gas industry, driving innovation and creating value through cutting edge digital platforms and infrastructure. Our Midstream IT organization supports Marathon's Midstream Business Units, including Gathering, Transporting, Storing, Processing, and Distributing Oil & Gas products. We take pride in our ability to deliver high-quality services and transformative solutions that enhance operational performance. As we continue to transform the Midstream technological landscape, we are seeking a dynamic and experienced Senior Platforms Engineer to join our OT Windows team. This role combines deep technical expertise with strategic vision to deliver secure, scalable, and automated platform solutions across critical OT environments. A successful candidate will lead the design, implementation, and lifecycle management of mission-critical OT platforms across Windows and Linux environments. This includes partnering with IT, cybersecurity, and operations teams to deliver secure, scalable, and automated infrastructure solutions. This role demands a strategic mindset and deep technical expertise in enterprise systems, identity security, and cloud integration, ensuring platforms are resilient, compliant, and aligned with industry best practices. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications Key Responsibilities Identifies performance bottlenecks, conducts root cause analysis, and proposes and implements solutions to enhance platform & system performance and resource utilization. Establishes performance benchmarks, conducts capacity planning, and collaborates with other teams, including junior engineers and cross functional teams to optimize infrastructure performance and activities. Contributes to the development and improvement of troubleshooting procedures, measures to minimize platform & system downtime, and documentation. Partners with vendor technical support to drive for resolution. Leads and manages platform & system technical support activities and troubleshooting efforts, including handling escalated and complex issues. Performs advanced system tuning and optimization to maximize performance using IT Service Management practices. Collaborates with internal teams to enhance support processes and methodologies. Participates in future platform & system backup planning. Leads the design of disaster/system recovery and testing. Analyzes performance and utilization data to identify trends and patterns; provides recommendations for optimization and improvement; prepares comprehensive reports on infrastructure performance; and implements corrective actions to drive continuous system improvements Leads the design and configuration of complex platforms & systems, considering best practices and industry standards. Leads ongoing compliance with original design and configuration and corrects for deviation from standards. Builds and deploys highly available and scalable infrastructure solutions. Leads the creation and maintenance of a comprehensive knowledge base for platforms & systems, including troubleshooting guides, configuration documentation, and best practices. Promotes knowledge sharing culture by organizing training sessions, mentoring junior engineers, and encouraging cross-team collaboration. Design, implement, and maintain enterprise-grade systems across Windows Server and Linux platforms, ensuring high availability and security in OT environments. Lead design and deployment of Active Directory and Linux directory services, including advanced configurations for forests, trusts, replication, and identity integration. Develop and enforce Identity and Access Management (IAM) strategies, including Identity Governance and Administration (IGA) and Privileged Access Management (PAM) solutions. Drive automation of system provisioning, configuration, and patching using advanced scripting (PowerShell, Bash, Python) and orchestration tools. Oversee software deployment and configuration management through SCCM, Intune, and Linux-native tools. Integrate and secure cloud platforms (Azure, AWS, or similar) for hybrid OT environments, ensuring compliance with organizational and regulatory standards. Collaborate with cybersecurity teams to implement zero-trust principles and enforce least-privilege access across all systems. Perform root cause analysis for complex system issues and lead remediation strategies to prevent recurrence. Produce and maintain comprehensive architectural documentation, operational procedures, and governance frameworks. Act as a technical advisor in a Scaled Agile (SAFe) environment, influencing system roadmaps and enterprise architecture decisions. Monitor and optimize system performance, implementing proactive measures for resilience and disaster recovery. Mentor junior engineers and contribute to knowledge-sharing initiatives across the organization. Education and Experience Bachelor's Degree in Information Technology, related field or equivalent experience. 5+ years of relevant platforms engineer experience. Extensive experience in enterprise systems engineering, with proven leadership in designing and managing large-scale Windows and Linux environments required. Advanced knowledge of Windows Server (2016/2019/2022) and Linux distributions (RHEL, Debian, Ubuntu) required. Deep understanding of Active Directory architecture and Linux identity management (LDAP, Kerberos, SSSD) required. Proficiency in IAM, IGA, and PAM technologies (e.g., SailPoint, CyberArk) preferred. Strong scripting and automation skills across PowerShell, Bash, and Python required. Expertise in SCCM, Intune, and Linux-native configuration management tools required. Hands-on experience with cloud platforms (Azure, AWS) and hybrid integration strategies required. Proven track record of leading enterprise migrations and modernization initiatives preferred. Experience implementing zero-trust architectures and advanced security frameworks preferred. Familiarity with containerization and orchestration (Docker, Kubernetes) in OT contexts preferred. Knowledge of virtualization technologies (VMware, Hyper-V) and disaster recovery planning preferred. Skills Cloud Infrastructure Management - Setting up, configuring, monitoring, and optimizing the components of cloud infrastructure. Computer Networking - A system in which multiple computers are connected to each other to share information and resources. Cybersecurity Risk Management - The process of developing cyber risk assessment and treatment techniques that can effectively pre-empt and identify significant security loopholes and weaknesses, demonstrating the business risks associated with these loopholes and providing risk treatment and prioritization strategies to effectively address the cyber-related risks, threats and vulnerabilities, ensuring appropriate levels of protection, confidentiality, integrity and privacy in alignment with the security framework. DevSecOps - A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and pas well as continuous delivery and a security first approach. General Programming - Applies a computer language to communicate with computers using a set of instructions and to automate the execution of tasks. Infrastructure as Code - The process of managing and provisioning infrastructure through code instead of through manual processes. IT Infrastructure Management - Planning, design, delivery and control of information technology infrastructure. Performance Monitoring - The process of measuring the performance of a system in real time in order to determine problems and identify other factors that may cause problems in the future. Policy Management - The process of creating, implementing and maintaining policies and procedures within an organization. Process Automations - Also known as business automation or digital transformation, this is the technology-enabled automation of complex business processes. It can streamline a business for simplicity, achieve digital transformation, increase service quality, improve service delivery or contain costs. It consists of integrating applications, restructuring labor resources and using software applications throughout the organization. Service Delivery Management - The manner in which an organization provides users access to IT services, which include applications, data storage and other business resources. System Administration - Performs a variety of functions including user management, system monitoring, system configuration, performance tuning, backup and recovery, and access control. System Platform - . click apply for full job details

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary We are seeking an experienced and strategic Salesforce Solution Architect to lead the design and implementation of robust, scalable Salesforce solutions. This high-profile role combines technical expertise with strategic thinking to align technology with business goals and Salesforce best practices. This role will serve as a trusted advisor to internal teams and external clients, collaborating closely with stakeholders to define requirements and shape solutions. As a key member of the Salesforce Center of Excellence, this role influences enterprise architecture and gains exposure to the latest Salesforce technologies across a range of industries and domains. The ideal candidate has a strong background in Salesforce architecture and development, proven leadership skills, and the ability to effectively communicate complex ideas to diverse audiences. This role offers broad exposure and influence across the organization, providing opportunities to shape Salesforce strategy and contribute to innovation. This role will work on enterprise-scale solutions and enjoy continuous learning through advanced training, collaboration, and access to the newest Salesforce features and tools. The Solution Architect will play a vital role in transforming how the business operates through technology-driven customer engagement and operational excellence. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities Supports architectural governance and compliance, and contributes to defining principles, guidelines, and standards. Participates and contributes to solution architecture reviews and ensures architecture adherence. Collaborates with stakeholders to ensure solution alignment with business objectives. Evaluate and select appropriate technologies, frameworks, and platforms. Takes a more active role in analyzing technology trends and impacts and contributes to vendor assessments. Leads the design and development of end-to-end solutions that meet business requirements. Analyzes and translates business and technical requirements into solution designs. Leads the translation of business and technical requirements into architectural blueprints, collaborating with product owners and managers. Defines system integration approaches and ensures interoperability of components. Provides guidance and support to development teams during solution implementation. Manages the architecture for a broader scope of projects and develops roadmaps for portfolio evolution. Lead the architecture and design of Salesforce implementations across multiple projects or large, complex initiatives. Serve as a trusted advisor for clients and internal teams, providing strategic guidance and mentorship to Salesforce professionals. Conduct discovery sessions and assessments of clients' current Salesforce use; develop findings reports, solution roadmaps, and actionable recommendations. Collaborate with stakeholders to elicit, define, and prioritize business and functional requirements. Create prototypes and proofs of concept to validate solutions and inform project design. Design and document robust data models and secure, scalable solutions across Salesforce clouds, including Sales, Service, Experience, and Manufacturing Cloud. Oversee configuration, testing, quality assurance, deployment, and release management activities. Support user story development, ensuring success criteria are defined and well-documented. Engage in solution reviews and recommend architectural and performance improvements. Act as a release manager for Salesforce environments, managing deployments and ensuring alignment with DevOps best practices. Lead or contribute to project planning, scoping, and estimating efforts in collaboration with cross-functional teams. Education and Experience Bachelor's Degree in Information Technology, related field or equivalent experience required. Five (5) or more years of relevant IT experience, including two (2) or more years of relevant architecture experience required. Salesforce Solution Architecture Track certifications preferred. Deep knowledge of the Salesforce platform, Visualforce, Lightning Components (LWC) required. Background in architecting on Salesforce Experience Cloud and Manufacturing Cloud preferred. Familiarity with DevOps tools and CI/CD processes preferred. Experience leading large-scale CRM or Member Services implementations and data migration/integration activities. Preferred. Oil and Gas industry experience is a plus. Skills Agile Methodology - Agile management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards project the completion of a project. Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions. Artificial Intelligence (AI) - Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue. Big Data Analytics - Knowledge of data analytics frameworks and technologies, such as data lakes, data warehouses, and machine learning, to design architectures that effectively handle large volumes of data and enable advanced analytics. Business Acumen - Applies knowledge of MPC's business, industry and the marketplace to advance the organization's goals. Makes decisions and recommendations clearly linked to MPC's strategy. Cloud Computing - Knowing how to manage cloud services, develop cloud applications and use cloud architecture to meet customer needs. Continuous Improvement Mindset - Identifies and leads opportunities for continuous improvement and value creation, both incremental and large-scale. DevSecOps - A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and as well as continuous delivery and a security-first approach. Functional Expertise - A strong understanding of various technologies, platforms, and systems relevant to the organization's architecture, such as networking, databases, cloud computing, and security. Internet of Things (IoT) - Familiarity with IoT concepts and protocols, as well as experience designing architectures that incorporate IoT devices and enable seamless connectivity and data exchange. Machine Learning - Machine learning is a branch of Artificial Intelligence (AI) and computer science that involves the development of algorithms and statistical models that enable computers to progressively improve their performance on a specific task through learning from data, without being explicitly programmed. In essence, machine learning algorithms learn from patterns and relationships in data to make predictions, decisions, or identify patterns, often with the goal of optimizing some objective function or improving performance over time. Process Orchestration - Process orchestration refers to the coordination and management of various tasks, activities, and resources within a workflow or business process. It involves organizing, sequencing, and automating individual tasks or sub-processes to ensure that the overall process operates smoothly and efficiently. Process orchestration typically involves integrating disparate systems, applications, and services to streamline operations and improve collaboration across different parts of an organization. It often employs workflow management tools, automation software, and integration platforms to facilitate communication, data exchange, and decision-making among different components of the process. The goal of process orchestration is to optimize the flow of work, minimize delays and bottlenecks, and enhance overall productivity and performance. Solution Architecture - Solution architecture is the process of designing and describing the structure and behavior of a comprehensive solution to meet specific business needs. It involves integrating various components, technologies . click apply for full job details

Overview: SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced professional to join our team! As a Red Team Penetration Tester, you will be responsible for conducting penetration testing and conducting offensive cybersecurity operations for the U.S. Government and DoD systems. You will work collaboratively with Blue Team and Cybersecurity professionals to enhance overall cyber posture. Position is contingent upon award of contract, anticipated in October of 2026. Travel: Negligible Clearance: An ACTIVE Top Secret Clearance with SCI Eligibility is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Five (5) years' experience in software engineering applied to program development; modeling and simulation applied to DoD or Information Technology systems. Linux and Windows Strong working knowledge of common Penetration Testing (PENTEST) tools: Kali, Metasploit, NMAP, Cobalt Strike Penetration Testing (PENTEST) Red Team Operations Tool/Software Development (exploits/malware, C2, reverse engineering, bug bounties) Python, C, C Sharp, C++, Go, Perl, Powershell Web Dev/Web App Dev/Web Penetration testing NSX, vCenter, vRealize Suite, Horizon View (VDI) and others PAN-OS FirePower, Nexus, IOS, ASA ONTAP, SnapMirror Active-Directory Entra ID (Azure AD), Active Directory, SSO, MFA, Azure application integration, Identity Federation. Automation using Powershell, PowerAutomate, Logic Apps, Graph API. Microsoft Entra ID and Microsoft 365 in a hybrid environment. Experience with Palo Alto, Cisco, VMWare, NetApp and Microsoft products. Extending or integrating on premises AD with Entra ID. Managing identity and access in Microsoft Entra ID. Experience conducting Red Team operations in an MDE environment. Experience with AWS, Cloud Audit, Serverless and Microservice Architecture Experience working with AWS services (such as EC2, S3, KMS, RDS) and security best practices relevant to those services Experience with Web Services penetration testing (RESTful and SOAP) Web Authentication protocols (e.g. OAuth2, SAML, LDAP) PHP, ASP, SQL db's, Java, HTML, No SQL Minimum certification one of the following: Security+, CCNA Security, CySA+, GICSP, SSCP Minimum certification as penetration tester and possess one of the following certificates: Offensive Security Certs: Offensive Security Certified Professional (OSCP), Offensive Security Certified Expert (OSCE), Offensive Security Exploitation Expert (OSEE), Offensive Security Wireless Professional (OSWP) SANS Certs: SEC560 - Network Penetration testing and Ethical Hacking (GPEN Certification), SEC542 - Web App Penetration Testing and Ethical Hacking (GWAPT Certification), SEC660 - Advance Penetration Testing. Exploit Writing, and Ethical Hacking (GXPN Certification), SEC642 - Advanced Web App Penetration Testing and Ethical Hacking, SEC564 - Red Team Operations and Threat Emulation OSD Sponsored Cyber Operation Academy Course (COAC) graduates. Capture the Flag (CTF) participation (DEFCON, Over-The-Wire (OTW), Hack the Box, USS Secure CTF's) Security research resulting in a Common Vulnerabilities and Exposures (CVE) Responsibilities: Debug and reverse engineer software. Analyze Windows Events and Linux syslog's, boot logs and dmesg logs. Program and debug Web 2.0, Java, Perl, Ada, C++, Tool Command Language (tcl/tk) scripts and graphical user interfaces (GUis) using Microsoft Visual tel and Rational ClearCase for software configuration management. Program and debug Web 2.0, Java, Perl, Ada, C++, Tool Command Language (tcl/tk) scripts and graphical user interfaces (GUis) using Microsoft Visual tel and Rational ClearCase for software configuration management. Recommend software modifications to systems to mitigate known vulnerabilities. Operate and administrate computer systems running HP-UX, UNIX, Solaris, Linux and Microsoft Windows. Identify security flaws in compiled and human readable source code. Understand code utilizing real-time VxWorks and Lynx OS operating systems, Common Object Resource Broker Architecture (CORBA), firewalls and networking protocols. Understand how to implement NSA approved encryption technologies and devices. Apply DISA Security Technical Implementation Guides (STIGs). Apply virtual hosting and server technology in system architectures. Understand and apply the concept of deceptive technology such as honey pots in system architectures. Participate in Code Reviews. Perform Static Source Code Analysis. Author recommendations for improving software and code design. Contribute to a System Security Administrator and Operators Manual (SSAOM) Education: High School Diploma or GED equivalent Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000-$150,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short-&long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership:Work with the best and help build YOUR company! Family focus:Work for a team that recognizes the importance of family time. Culture:Add to our culture of technical excellence and collaboration. Dress code:Business casual, we like to be comfortable while we work. Resources:Excellent facilities, tools, and training opportunities to grow in your field. Open communication:Work in an environment where your voice matters. Corporate Fellowship:Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation:Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team:Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food:We have a lot of food around here! MWAC -

Overview: SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced professional to join our team! As a Red Team Penetration Tester, you will be responsible for conducting penetration testing and conducting offensive cybersecurity operations for the U.S. Government and DoD systems. You will work collaboratively with Blue Team and Cybersecurity professionals to enhance overall cyber posture. Position is contingent upon award of contract, anticipated in October of 2026. Travel: Negligible Clearance: An ACTIVE Top Secret Clearance with SCI Eligibility is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Five (5) years' experience in software engineering applied to program development; modeling and simulation applied to DoD or Information Technology systems. Linux and Windows Strong working knowledge of common Penetration Testing (PENTEST) tools: Kali, Metasploit, NMAP, Cobalt Strike Penetration Testing (PENTEST) Red Team Operations Tool/Software Development (exploits/malware, C2, reverse engineering, bug bounties) Python, C, C Sharp, C++, Go, Perl, Powershell Web Dev/Web App Dev/Web Penetration testing NSX, vCenter, vRealize Suite, Horizon View (VDI) and others PAN-OS FirePower, Nexus, IOS, ASA ONTAP, SnapMirror Active-Directory Entra ID (Azure AD), Active Directory, SSO, MFA, Azure application integration, Identity Federation. Automation using Powershell, PowerAutomate, Logic Apps, Graph API. Microsoft Entra ID and Microsoft 365 in a hybrid environment. Experience with Palo Alto, Cisco, VMWare, NetApp and Microsoft products. Extending or integrating on premises AD with Entra ID. Managing identity and access in Microsoft Entra ID. Experience conducting Red Team operations in an MDE environment. Experience with AWS, Cloud Audit, Serverless and Microservice Architecture Experience working with AWS services (such as EC2, S3, KMS, RDS) and security best practices relevant to those services Experience with Web Services penetration testing (RESTful and SOAP) Web Authentication protocols (e.g. OAuth2, SAML, LDAP) PHP, ASP, SQL db's, Java, HTML, No SQL Minimum certification one of the following: Security+, CCNA Security, CySA+, GICSP, SSCP Minimum certification as penetration tester and possess one of the following certificates: Offensive Security Certs: Offensive Security Certified Professional (OSCP), Offensive Security Certified Expert (OSCE), Offensive Security Exploitation Expert (OSEE), Offensive Security Wireless Professional (OSWP) SANS Certs: SEC560 - Network Penetration testing and Ethical Hacking (GPEN Certification), SEC542 - Web App Penetration Testing and Ethical Hacking (GWAPT Certification), SEC660 - Advance Penetration Testing. Exploit Writing, and Ethical Hacking (GXPN Certification), SEC642 - Advanced Web App Penetration Testing and Ethical Hacking, SEC564 - Red Team Operations and Threat Emulation OSD Sponsored Cyber Operation Academy Course (COAC) graduates. Capture the Flag (CTF) participation (DEFCON, Over-The-Wire (OTW), Hack the Box, USS Secure CTF's) Security research resulting in a Common Vulnerabilities and Exposures (CVE) Responsibilities: Debug and reverse engineer software. Analyze Windows Events and Linux syslog's, boot logs and dmesg logs. Program and debug Web 2.0, Java, Perl, Ada, C++, Tool Command Language (tcl/tk) scripts and graphical user interfaces (GUis) using Microsoft Visual tel and Rational ClearCase for software configuration management. Program and debug Web 2.0, Java, Perl, Ada, C++, Tool Command Language (tcl/tk) scripts and graphical user interfaces (GUis) using Microsoft Visual tel and Rational ClearCase for software configuration management. Recommend software modifications to systems to mitigate known vulnerabilities. Operate and administrate computer systems running HP-UX, UNIX, Solaris, Linux and Microsoft Windows. Identify security flaws in compiled and human readable source code. Understand code utilizing real-time VxWorks and Lynx OS operating systems, Common Object Resource Broker Architecture (CORBA), firewalls and networking protocols. Understand how to implement NSA approved encryption technologies and devices. Apply DISA Security Technical Implementation Guides (STIGs). Apply virtual hosting and server technology in system architectures. Understand and apply the concept of deceptive technology such as honey pots in system architectures. Participate in Code Reviews. Perform Static Source Code Analysis. Author recommendations for improving software and code design. Contribute to a System Security Administrator and Operators Manual (SSAOM) Education: High School Diploma or GED equivalent Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000-$150,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short-&long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership:Work with the best and help build YOUR company! Family focus:Work for a team that recognizes the importance of family time. Culture:Add to our culture of technical excellence and collaboration. Dress code:Business casual, we like to be comfortable while we work. Resources:Excellent facilities, tools, and training opportunities to grow in your field. Open communication:Work in an environment where your voice matters. Corporate Fellowship:Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation:Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team:Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food:We have a lot of food around here! MWAC -

At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Information Technology Job Summary: Sr. Network Administrator is responsible for providing technical expertise in the management of a public and/or private network; tests and analyzes network facilities, including network control software, routers, switches, lines, modems, adapters and servers. Installs, supports and/or maintains LANs and/or WANs; evaluates and recommends networking product and software upgrades. Performs technical analyses of software, hardware and transmission facilities using various diagnostic tools in support of efficient network operations. Monitors data traffic and controls network resource performance to ensure high-quality transmission. Identifies, diagnoses, and resolves technical problems related to network failure/ integrity and usage of PC hardware and software. Job Description: Responsibilities Design and troubleshoot site level network equipment for the purpose of maximizing performance, security, and reliability (e.g. firewalls, routers, switches, wireless access points, controllers, and vendor appliances). Understand cloud network architecture. Lead teams and site level projects with minimal supervision and guidance. Design and troubleshoot enterprise level operational technologies that interact with the manufacturing control systems for the purpose of maximizing performance, security, and reliability. Design processes, policies, and procedures supporting internal controls, cybersecurity, and data protection of sensitive data. Examples include but are not limited to IT General Controls (ITGCs) Managed Access (MA-xx) Managed Operations (MO-xx) and Change Management (CM-xx); Data backup, recovery, and classification; Information Technology Asset Management (ITAM). Design and troubleshoot technology infrastructure to mitigate risk and define new controls to ensure mitigation of risk. Define site level software-defined wide area network (SD-WAN) and related infrastructure. Design and troubleshoot network configurations and access control rules of cloud networks (e.g. Microsoft Azure) as well as on-premises and hybrid environments. Lead initiatives to improve Intrusion Detection and Prevent Systems (IDS/IPS). Work closely with IT site leads at various locations in the U.S., Canada, and the U.K. to ensure network and security solutions are operating as expected. Understand and comply with established processes and procedures designed to support internal controls efforts, including Change Control procedures across all modifications to the environment. Identify to management internal controls deficiencies. Requirements Education: Bachelor's degree (Information Technology/Computer Science) or its equivalent in a related field is typically preferred. Network certifications such as Cisco Certified Network Associate (CCNA), Cisco Certified Network Professional (CCNP), CompTIA Network+ are desired. Years of experience: 8+ Years of related professional work experience may be preferred to complete all essential job functions. Other unique job relevant attributes: Strong foundational knowledge in information technology, including Cisco equipment and Windows servers. Knowledge about software defined networks (SD-WAN) preferred. Knowledge about Microsoft's Azure cloud / M365 environment preferred. On-call and support outside of business hours may be required. Safety training may be required. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". If you need any assistance seeking a job opportunity at CF Industries, or if you need reasonable accommodation with the application process, please call 847- or contact us at . JOIN OUR TALENT NETWORK

Salesforce Data & Integration Technical Architect Wilmington, DE, 155K 178K with 15% Bonus - $145K - $155K Base On-site HYBRID Full-Time Employee NO CONTRACTORS that want a contract position. No C2C, No CTH, No telecommuting, NO will rent an apt there, and go home on weekends End client. Not a consulting company or implementation partner. CONSULTING COMPANIES PLEASE DON"T SEND ME YOUR CONTRACTORS Compliments from Applicants A leader in their industry 14,000 employees worldwide, and provides global sales, support, and manufacturing Net Revenue $5.3 Billion Employees call the company a great place to work Our culture is built on values we live by every day. Innovation & contribution - Uncompromising integrity - Trust, respect, & teamwork One of the top 100 female-friendly companies in the world 25,000+ customers, from global corporations to government labs and academic researchers. Customers in over 100 countries Salesforce intensive technical profile with demonstrated experience in building integration with other enterprise tools and systems. Lead development of architecture, strategies, and policies around data governance in (link removed), including master data management, metadata management, data quality, and Integrations. You will be part of a high-performance team chartered to deliver enterprise-wide solutions. In this role, you will be responsible for designing, implementing, and maintaining data architectures and an integration framework for our Global Salesforce implementation (Sales Cloud and Partner Relationship Management PRM). You will work closely with other IT teams that support Agilents business systems and infrastructure. The (link removed) data and integration Lead will be responsible for providing technical leadership in developing solutions in (link removed) to meet business requirements. Should be proficiency in most of these skills Salesforce Cloud SAP Data modeling projects Data model design Data migration Data Architecture Design Skills Continuous Delivery (CD) implementation CRM system proficiency Software implementation Software deployment Travel Required: 10% of the Time Send a WORD resume only with the skills you have will get my attention

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Join a dynamic team as an AI Delivery Lead, where you will drive the end-to-end delivery of transformative AI projects within the Data & Insights product line. This pivotal role involves leading the development and deployment of innovative AI solutions at an enterprise level, ensuring they deliver substantial business value. Key Responsibilities: Agile AI Project Leadership: Guide a cross-functional agile team through all stages of AI product development, ensuring alignment with architectural goals and project requirements through effective Scrum practices. Technical Ownership: Lead the complete development lifecycle of AI initiatives, ensuring adherence to enterprise standards and best practices, particularly within Azure Databricks and related technologies. Team Leadership and Mentorship: Inspire and develop your teams technical capabilities in AI/ML, with a focus on Azure platforms, fostering a culture of accountability and high performance. Resource Management: Effectively manage and coordinate resources across nearshore, offshore, and vendor teams to optimize performance and cost-effectiveness. Stakeholder Collaboration: Collaborate closely with product owners and stakeholders to define objectives and ensure project deliverables align with business goals and priorities. Innovative AI Design: Develop technical strategies for AI solutions, including workflows for processing unstructured data and creating GPT-powered applications. Architecture and Quality Assurance: Work with architects and tech leads to ensure solutions meet architectural standards, contributing to design reviews and implementing robust testing strategies. Continuous Improvement: Stay at the forefront of AI advancements, leading complex coding and performance tuning efforts, and sharing expertise with the team. Documentation and Governance: Oversee the maintenance of project documentation and ensure alignment with governance processes, including the creation of technical documentation for AI models. Qualifications: 8+ years in IT with 2+ years in AI/GenAI leadership roles. Strong expertise in AI/GenAI technologies, including LLM models, RAG architectures, and vector databases. Proficient in cloud-native AI solutions, with a focus on Azure services. Experience delivering AI solutions in an agile environment and familiarity with DevOps practices. Proven leadership and team management skills, including managing distributed teams. Bachelors or masters degree in Computer Science, Software Engineering, Data Science, or a related field; additional certifications in AI/ML or cloud technologies are advantageous. Located in Bloomington, this hybrid position offers the flexibility to balance in-office collaboration with remote work, making it an excellent opportunity for those looking to lead groundbreaking AI projects in a supportive and innovative environment.

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Lead architecture and development initiatives with a strong focus on Python as the primary programming language. This role requires designing and delivering Agentic AI driven solutions, building scalable cloud-native systems on AWS, and leading technical strategy in client-facing environments. Key Responsibilities Lead architecture and hands-on development with Python as the core language. Design and implement Agentic AI based solutions, enabling autonomous decision-making, orchestration, and workflow-driven AI systems in production environments. Architect large-scale, cloud-native applications on AWS, leveraging services such as S3, EC2, API Gateway, SageMaker, CloudWatch, ECS, and EKS. Build and optimize full-stack solutions, including back-end services, APIs, front-end components, and databases. Develop scalable microservices architectures and AI-enabled APIs (REST/SOAP). Containerize and deploy applications using Docker and Kubernetes on AWS. Design and maintain CI/CD pipelines for AI-powered and enterprise application deployments using Jenkins and Git. Ensure performance, security, scalability, and reliability of AWS-based architectures. Collaborate closely with stakeholders and lead client-facing technical discussions, translating business needs into technical solutions. Drive innovation through AI-first, data-driven architecture designs and emerging technology adoption. Preferred / Plus Skills Experience with React, Node.js, Spring Boot. Strong hands-on experience with SQL and NoSQL databases. Exposure to distributed systems, event-driven architectures, and enterprise integrations.

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the West Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285990

Role: Sr. Python DeveloperBill Rate: $80/hour C2CLocation: Richmond ,VADuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement Job Description: Looking for a senior resource who will design, develop and deploy Agentic AI solutions that can reason, adapt, and act independently to achieve business goals. Resource will play a key role in architecting and scaling AI-first applications that leverage the latest in LLM, orchestration, and AWS-native services. Must Have Skills Strong programming skills in Python and experience with object-oriented languages like Java. Proficiency in using agentic frameworks and libraries like Langchain, AutoGen, or Llama Index. Experience with cloud platforms (AWS, Google Cloud Platform, or Azure Familiarity with LLMs and their application in agentic systems. Must have strong knowledge of AI ecosystems (Open AI, Amazon Bedrock, AWS SageMaker Must have experience implementing Agentic frameworks like Langchain or custom solutions for agent-to-agent communication, dynamic task assignment, and context-aware decision- making. Must have extremely strong English and social communication skills and should be self-driven, articulate and be able to lead the team. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law