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Genworth is seeking a Senior Software Engineer to design, build, and enhance secure, scalable software solutions that power our long-term care and financial security products. In this role, you will collaborate with product, architecture, and business teams to deliver reliable applications and integrations across our financial and insurance platforms. You will write clean, testable code, lead code reviews, and influence architectural decisions, while championing DevOps, automation, and quality. Join a collaborative, mission-driven environment focused on supporting aging populations, families, and their long-term financial well-being. Responsibilities Design, develop, and maintain scalable, secure applications for financial and insurance products Collaborate with product, architecture, and business teams to deliver high-quality solutions Implement integrations with internal and third-party financial systems and services Write clean, testable, and maintainable code following engineering best practices Conduct code reviews, provide technical mentorship, and support continuous improvement Ensure reliability, performance, and security in cloud-based and on-premise environments Contribute to architectural decisions and technical roadmaps for core platforms Support Dev Ops practices including CI/CD, automation, and monitoring Required Skills Java or C or similar scripting language RESTful API design and development Microservices architecture Relational databases (e.g., SQL Server, Postgre SQL) Cloud platforms (e.g., AWS, Azure) CI/CD pipelines and Dev Ops tools Unit, integration, and automated testing Security best practices in financial applications Agile/Scrum development methodologies

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC

We are seeking a Senior Network Engineer to design, deploy, and operate enterprise network infrastructure across on-premises environments and cloud platforms (AWS, Azure). This role bridges hands-on operational execution with emerging architectural responsibility and is expected to contribute meaningfully to automation and modernization initiatives while serving as a technical resource for junior engineers on the team. Compensation: Expected Annual Base Salary $130,000-$155,000 + bonus + profit sharing. Responsibilities: Network Operations & Engineering Own day-to-day operations, monitoring, and troubleshooting of on-premises and cloud-connected network infrastructure across global offices and data centers. Lead incident response for complex network issues, performing root cause analysis and driving resolution with minimal supervision. Manage global carrier services and connectivity across EMEA, APAC, and the Americas. Maintain and improve operational documentation, including network diagrams, runbooks, and change records. Participate in an after-hours/on-call rotation for critical incidents. Infrastructure Design & Deployment Design and implement network solutions for LAN, WAN, wireless, and hybrid cloud connectivity, working within and contributing to established architectural standards. Configure and deploy Aruba and/or Cisco infrastructure, including routing, switching, and wireless platforms. Lead network hardware and software lifecycle management, including capacity planning, patching, and firmware upgrades. Evaluate new technologies and provide recommendations to senior architects. Cloud & Hybrid Connectivity Implement and support hybrid connectivity between on-premises environments and AWS/Azure, including AWS Direct Connect, Azure ExpressRoute, and VPN configurations. Apply cloud networking concepts (VPCs, VNets, routing, security groups) to support both operational and project-level needs. Collaborate with cloud and systems teams to ensure consistent and secure network integration across environments. Automation & IaC Actively develop and maintain Infrastructure as Code using Terraform and Git for network provisioning and configuration management. Write and maintain scripts (Python, Shell, or PowerShell) to automate repetitive tasks and improve operational efficiency. Contribute to CI/CD pipeline development and support the team's broader IaC adoption goals. Serve as a practitioner-level resource for automation tooling within the network team. Firewall & Security Administer Check Point firewalls, including rulebase management, policy optimization, and VPN configuration. Manage Aruba ClearPass NAC policies for network access control, authentication, and segmentation. Ensure adherence to our network security standards across all environments and assist in driving compliance across the broader infrastructure. Mentorship & Collaboration Provide technical guidance and day-to-day mentorship to Network Engineers on the team. Participate in design and architecture discussions, contributing operational insight and engineering perspective. Collaborate cross-functionally with infrastructure, security, and cloud teams on shared initiatives. Qualifications: Required Experience: Minimum of 6 years of enterprise networking experience in a hands-on engineering or operations role. Networking Expertise: Strong hands-on experience with Aruba and/or Cisco LAN, WAN, and wireless infrastructure. Solid understanding of dynamic routing protocols (BGP, OSPF) and Layer 2 technologies (VLANs, STP, QoS). Experience administering Check Point firewalls, including policy management and VPN troubleshooting. Working knowledge of AWS and/or Azure networking (VPCs/VNets, routing, Direct Connect/ExpressRoute, VPN connectivity). Automation & IaC: Proficiency in at least one scripting language for network automation tasks. Operations: Experience leading incident response and root cause analysis for complex network issues. Strong documentation skills and familiarity with ITIL-aligned change management processes. Preferred Experience with Aruba ClearPass NAC for access control and segmentation. Prior experience with Terraform and Git in an enterprise environment; candidates without this experience at time of hire are expected to achieve working proficiency within 6-12 months. Exposure to CI/CD pipelines and automation frameworks in a network engineering context. Relevant industry certifications such as CCNP, Aruba Certified Professional, or AWS/Azure networking associate or professional level. Our Commitment to Inclusion & Belonging The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupations or positions.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the primary technology advisor for enterprise-scale Salesforce programs supporting Federal and Public Sector clients. You will lead solution architecture, technical strategy, and delivery governance for complex digital transformation initiatives while ensuring solutions are secure, scalable, compliant, and aligned with mission objectives. Key responsibilities include: Serve as the lead architect for large-scale Salesforce implementations, providing strategic guidance on platform capabilities, architecture patterns, and solution design. Partner with clients, business stakeholders, delivery leaders, and implementation teams to define technical roadmaps and transformation strategies that support business goals and program objectives. Lead discovery sessions, architecture workshops, and solution planning activities to gather requirements and design enterprise-grade Salesforce solutions. Design end-to-end technical architectures across Salesforce products, including Salesforce Platform, Service Cloud, Experience Cloud, Public Sector Solutions (PSS), OmniStudio, and custom applications. Architect secure and scalable solutions encompassing data models, integrations, application development, identity and access management, security controls, and deployment strategies. Provide technical leadership throughout the project lifecycle, including pre-sales, solutioning, estimation, delivery oversight, and post-implementation support. Develop architecture deliverables including solution diagrams, technical design documents, integration specifications, data migration strategies, and governance frameworks. Lead architecture reviews and ensure adherence to Salesforce best practices, security standards, and development methodologies. Design and oversee integrations between Salesforce and enterprise systems using REST APIs, SOAP services, middleware platforms, ETL tools, and cloud-based services. Act as a trusted advisor to executive stakeholders by providing recommendations on platform optimization, modernization efforts, and emerging technologies. Identify technical, operational, and delivery risks early and develop mitigation strategies to ensure successful project execution. Collaborate with Delivery Managers and project teams to align technical solutions with project timelines, budget constraints, and business priorities. Mentor developers, administrators, business analysts, and junior architects to promote technical excellence and professional growth. Support business development efforts by participating in client presentations, proposal development, solution demonstrations, and technical evaluations. Contribute to internal practice development initiatives, architecture standards, reusable assets, accelerators, and thought leadership efforts across the Salesforce practice. Evaluate emerging Salesforce capabilities, including Agentforce, AI solutions, automation technologies, and industry-specific offerings to drive innovation and business value. Travel may be required based on client and project requirements. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing, implementing, and governing enterprise technology solutions, including significant experience on the Salesforce Platform. US Citizenship is contractually required for this role Selected candidate must be able to obtain a security clearance Proven experience serving as a Technical Architect, Solution Architect, Enterprise Architect, or Lead Architect on enterprise Salesforce programs. Strong expertise in Salesforce architecture, including application architecture, data architecture, integration architecture, and security architecture. Experience designing and implementing Salesforce solutions within Federal Government, State Government, or Public Sector environments. Deep understanding of Salesforce platform capabilities, including Apex, Lightning Web Components (LWC), Flow, APIs, security models, and deployment frameworks. Strong experience designing integrations between Salesforce and third-party enterprise applications using middleware, APIs, and cloud platforms. Demonstrated ability to analyze and optimize business processes through technology-enabled solutions. Strong consulting and stakeholder management skills with the ability to effectively communicate complex technical concepts to executive, business, and technical audiences. Proven experience facilitating architecture workshops, technical design reviews, and executive-level presentations. Exceptional written and verbal communication skills, including the ability to develop architecture artifacts, proposals, and client-facing deliverables. Strong problem-solving skills with the ability to evaluate complex technical challenges and develop practical, scalable solutions. Application design and software development background, including experience with enterprise architecture principles and best practices. Ability to influence decision-making and drive consensus among diverse stakeholder groups. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or other advanced Salesforce certifications. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Extensive experience with OmniStudio, including OmniScripts, FlexCards, DataRaptors, and Integration Procedures. Experience supporting large-scale Federal digital modernization and citizen services transformation programs. Experience designing solutions in regulated environments requiring compliance with federal security and privacy standards. Knowledge of Salesforce GovCloud environments and Public Sector implementation best practices. Experience with DevOps and CI/CD tools such as Copado, Gearset, AutoRABIT, GitHub, or Azure DevOps. Familiarity with enterprise architecture frameworks such as TOGAF or equivalent methodologies. Experience leading architecture governance boards, technical review committees, and solution approval processes. Knowledge of Salesforce AI, Agentforce, and emerging automation capabilities. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. What We Need: Multiple Positions Available COMPANY: McKesson Corporation POSITION: Senior Information Security Analyst LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead the delivery and lifecycle management of enterprise security data products, including data lakes, Azure Data Factory, and Databricks. Applied Al, Stochastic Optimization using Cyber Central data for security insights. Drive security efficiencies through automation, orchestration, and process optimization. Architect and implement secure, automated, and integrated solutions that support global security operations and business initiatives. Collaborate with cross-functional teams to identify and remediate security risks, track progress, and ensure alignment with strategic goals. Develop and execute security test plans, validate controls, and enhance system stability without impacting business continuity. Ensure compliance with regulatory frameworks including NIST, ISO 27001, HIPAA, Zero Trust, GDPR, and others. Participate in change management, architecture reviews, and strategic planning sessions. Mentor junior team members and serve as a technical resource across the organization. 100% telecommuting allowed from any location in the U.S. REQUIREMENTS: Master's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and five (5) years of experience in the job offered or related field. ALTERNATIVELY , Bachelor's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and seven (7) years of experience in the job offered or related field. Applicant must have five (5) years demonstrated experience in each of the following: Cloud platforms (Azure, AWS), data engineering tools (Data Factory, Databricks), and scripting languages (Python, PowerShell, and JavaScript). Deep understanding of security frameworks and compliance standards. System and network security engineering across Windows, Linux, and Unix environments. Vulnerability management, penetration testing, and secure architecture design. Communicating complex security risks in business terms and influencing decision-making. undefinedApplicant must have three (3) years demonstrated experience in each of the following: Vulnerability Management data and Bl work. OFFERED WAGE: $169,950 - $179,300/year CONTACT: To apply, please send resumes to . Reference #: 002224. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

GovCIO LLC seeks a Senior Cyber Security Administrator to secure mission-critical federal IT systems. In this role, you will administer and harden security tools, monitor and investigate security events, and lead incident response to protect complex, multi-cloud and on-prem environments. You'll implement security baselines, support NIST/FISMA compliance, manage identity and access controls, and drive remediation of vulnerabilities. Working in a mission-driven, collaborative culture, you'll mentor others, influence security architecture, and help modernize government technology at scale. Responsibilities Administer and harden security tools, firewalls, IDS/IPS, and endpoint protection across federal environments. Monitor security events, investigate incidents, and coordinate response and remediation. Implement and maintain security baselines, configurations, and patch management processes. Support compliance with federal security standards (e.g., NIST, FISMA) and internal policies. Conduct vulnerability scans, analyze findings, and drive remediation with engineering teams. Manage identity and access controls, including privileged account management and MFA. Develop and update security documentation, runbooks, and standard operating procedures. Collaborate with Dev, Cloud, and Network teams to embed security into system designs. Support security audits, assessments, and ATO-related activities for federal systems. Mentor junior staff and contribute to continuous improvement of cybersecurity operations. Required Skills Network security administration (firewalls, IDS/IPS) Security Information and Event Management (SIEM) tools Endpoint protection and EDR platforms Vulnerability assessment and remediation Identity and Access Management (IAM) and MFANIST and FISMA compliance frameworks Incident detection, triage, and response Security hardening and configuration management Cloud security (AWS/Azure/GCP) fundamentals Scripting/automation (Power Shell, Python, or similar)

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. What We Need: Multiple Positions Available COMPANY: McKesson Corporation POSITION: Senior Information Security Analyst LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead the delivery and lifecycle management of enterprise security data products, including data lakes, Azure Data Factory, and Databricks. Applied Al, Stochastic Optimization using Cyber Central data for security insights. Drive security efficiencies through automation, orchestration, and process optimization. Architect and implement secure, automated, and integrated solutions that support global security operations and business initiatives. Collaborate with cross-functional teams to identify and remediate security risks, track progress, and ensure alignment with strategic goals. Develop and execute security test plans, validate controls, and enhance system stability without impacting business continuity. Ensure compliance with regulatory frameworks including NIST, ISO 27001, HIPAA, Zero Trust, GDPR, and others. Participate in change management, architecture reviews, and strategic planning sessions. Mentor junior team members and serve as a technical resource across the organization. 100% telecommuting allowed from any location in the U.S. REQUIREMENTS: Master's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and five (5) years of experience in the job offered or related field. ALTERNATIVELY , Bachelor's degree, or foreign equivalent, Information Technology, Cybersecurity, Data Science/Engineering or related field of study and seven (7) years of experience in the job offered or related field. Applicant must have five (5) years demonstrated experience in each of the following: Cloud platforms (Azure, AWS), data engineering tools (Data Factory, Databricks), and scripting languages (Python, PowerShell, and JavaScript). Deep understanding of security frameworks and compliance standards. System and network security engineering across Windows, Linux, and Unix environments. Vulnerability management, penetration testing, and secure architecture design. Communicating complex security risks in business terms and influencing decision-making. undefinedApplicant must have three (3) years demonstrated experience in each of the following: Vulnerability Management data and Bl work. OFFERED WAGE: $169,950 - $179,300/year CONTACT: To apply, please send resumes to . Reference #: 002224. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!