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
09/22/2026
Full time
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
09/22/2026
Full time
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
MSEI US - Micro Systems Engineering
Lake Oswego, Oregon
Job description We are looking for a talented Senior Engineer to join our elite Factory Software Development team. This is an exciting opportunity for an individual to contribute to automation of manufacturing processes by developing systems and software solutions for robotics, data analysis, factory management, machine interfaces, and dashboards projects. Your Responsibilities Develop, integrate, and deploy multi-platform software solutions Define and promote software architectures Contribute to system design Identify, generate, and update all required documentation to support software and systems Other duties may be assigned at the discretion of the manager Required profile Education & Experience Requirements Bachelor's degree in the field of computer engineering, computer science, electrical engineering, or a related field Minimum 4 years of software development work experience. Experience managing projects. Additional Preferred Knowledge, Skills, Abilities Master's degree in the field of computer engineering, computer science or electrical engineering 3 years of experience in object-oriented software development at the graduate level or in industry Experience with one or more of the following technologies: enterprise applications, AI agent development, Model Context Protocol, database management, web development, mobile applications Experience with C# software development Experience with Agile methodology and tools Experience with all aspects of the software development process, including software requirements, software design, software integration, debugging and testing, and software documentation Demonstrated success in driving one or more projects to completion Experience in medical device or similarly regulated industry Physical Requirements The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Company description Working for Micro Systems Engineering, Inc. (MSEI) means joining an elite team to work on some of the most exciting challenges in medical technology today. We are a pioneer in developing innovative implantable medical device technologies and devices that save and enhance the quality of life for millions of individuals living with cardiovascular and chronic neurologic pain disorders. With more than 40 years of experience in design and manufacturing of active implantable medical devices, our continuing success is based on our company's core values -innovation, quality, reliability, integrity, teamwork, and undisputed expertise - thus enabling us to inspire confidence and trust in physicians and patients worldwide. We are continually looking for talented engineers, scientists, and professionals to share in our mission. What we offer Micro Systems Engineering, Inc. is an equal opportunity employer. In accordance with applicable law, the company prohibits discrimination based on race, color, religion, creed, gender, pregnancy or related medical conditions, age, national origin or ancestry, physical or mental disability, sexual orientation, genetic information, uniformed service or any other consideration protected by federal state and local laws. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee.
09/22/2026
Full time
Job description We are looking for a talented Senior Engineer to join our elite Factory Software Development team. This is an exciting opportunity for an individual to contribute to automation of manufacturing processes by developing systems and software solutions for robotics, data analysis, factory management, machine interfaces, and dashboards projects. Your Responsibilities Develop, integrate, and deploy multi-platform software solutions Define and promote software architectures Contribute to system design Identify, generate, and update all required documentation to support software and systems Other duties may be assigned at the discretion of the manager Required profile Education & Experience Requirements Bachelor's degree in the field of computer engineering, computer science, electrical engineering, or a related field Minimum 4 years of software development work experience. Experience managing projects. Additional Preferred Knowledge, Skills, Abilities Master's degree in the field of computer engineering, computer science or electrical engineering 3 years of experience in object-oriented software development at the graduate level or in industry Experience with one or more of the following technologies: enterprise applications, AI agent development, Model Context Protocol, database management, web development, mobile applications Experience with C# software development Experience with Agile methodology and tools Experience with all aspects of the software development process, including software requirements, software design, software integration, debugging and testing, and software documentation Demonstrated success in driving one or more projects to completion Experience in medical device or similarly regulated industry Physical Requirements The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Company description Working for Micro Systems Engineering, Inc. (MSEI) means joining an elite team to work on some of the most exciting challenges in medical technology today. We are a pioneer in developing innovative implantable medical device technologies and devices that save and enhance the quality of life for millions of individuals living with cardiovascular and chronic neurologic pain disorders. With more than 40 years of experience in design and manufacturing of active implantable medical devices, our continuing success is based on our company's core values -innovation, quality, reliability, integrity, teamwork, and undisputed expertise - thus enabling us to inspire confidence and trust in physicians and patients worldwide. We are continually looking for talented engineers, scientists, and professionals to share in our mission. What we offer Micro Systems Engineering, Inc. is an equal opportunity employer. In accordance with applicable law, the company prohibits discrimination based on race, color, religion, creed, gender, pregnancy or related medical conditions, age, national origin or ancestry, physical or mental disability, sexual orientation, genetic information, uniformed service or any other consideration protected by federal state and local laws. Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee.
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
09/22/2026
Full time
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
Job DescriptionJob Description Are you a dynamic, seasoned client professional who lives on Long Island, NY and who excels at managing clients and can also help cultivate a client management team by developing processes and best practices - and delivering solutions that scale? If so, this Client Program Manager role is for you. We are looking for someone who has experience managing all aspects of client relationships and who wants to join a dynamic team that is quickly scaling to transform care delivery with its market-leading automated virtual health platform. In this position, you will need to bring passion as well as skills in relationship building, consulting, project management, business analysis, reporting, software lifecycle management, and scaling an organization. This position will require regular transportation to multiple locations primarily on Long Island but also to other sites across New York City. Responsibilities: Be the focal point for the client's every need and become a trusted advisor with clients by deeply understanding their business and aligning their needs with our solutions Track and monitor client status, identifying areas of concern, and pursue growth and upsell opportunities. Drive the onboarding of new client accounts and ensure successful implementations as well as deep trusted relationships. • Write technical and functional requirements, when necessary, during implementation. Act as client advocate while effectively collaborating with internal teams, including product management, content, engineering, growth, and finance. Support the reporting and analytics needs of the client. Build out client management processes internally and identify best practices. • Coordinate, execute, track, and deliver various customer projects from initiation through completion. Identify and resolve operational and services related issues to ensure customer satisfaction. • Assess risks at the customer project level so as to develop and execute risk and contingency management plans as needed. Inform senior management and clients on project status, schedules, and key issues on a regular basis. • Provide timely responses to all customer-driven performance inquiries. Work with the growth team on contract renewals, extensions, and scope change activities. • Improve key aspects of the project lifecycle to creatively address complex problems. Qualifications: Bachelor's degree 7+ years experience in account management & client services organizations working with large clients, healthcare provider system clients preferred Experience in healthcare, providing or supporting care to patients Experience in communicating with senior business leaders Experience with healthcare ROI models Experience working in an organization that provides software as a service Experience using Microsoft Office, Google applications, Jira, Confluence, project management tools Capabilities (skills or knowledge required for success): Excellent written and verbal communication skills Exceptional client relationship-building skills Strong critical thinking and analysis skills with a passion for solving problems that have not been solved before Strong project management skills Ability to communicate well with people at all levels Ability to work cross-functionally in a dynamic team environment Ability to manage influence through persuasion, negotiation, and consensus-building Ability to visit client sites within the New York area but concentrated on Long Island multiple times a week Ability to travel outside of the New York area occasionally At Conversa, we're hard at work developing, marketing, and implementing both our leading conversational care and communication technology as well as the processes and systems that support this future of care delivery and collaboration between providers and their patient users. To help get us there, we're cultivating a diverse and vibrant team that works together to change the way healthcare is delivered. As a rapidly growing company, we've embraced several core values that guide both our culture and team: We care about people - the patients our chats are designed to help, the care team members who use our solutions, our partners who help bring our products to market, and most of all, our team members with whom we work. We strive to be empathetic and trusting, to understand and create space for the sharing of feelings and perspectives from others. We are data-driven. We strive to make decisions based on the best available data. If data changes, we will be open to changing our perspective. We will always endeavor to collect and create the most rigorous data we can. We, similar to the best healthcare providers, are evidence-based. We are passionate about improving the health & care of every person we can, and we are passionate about building a sustainable company that can impact the lives of as many people as possible. We are passionate about doing it with team members who share the same passion. We strive to be proactive. Just like we are trying to move healthcare from being reactive to proactive, we value pushing things forward - solutions, ideas, the business, ourselves. We are problem solvers. To be great problem solvers, we need to identify which are the important problems to solve and be creative, collaborative, and relentless until they are solved. Bundled with our strong culture, we offer all Conversans competitive compensation, regardless of location, and a comprehensive benefits package including: 401k plan Medical, Dental, Vision benefits Monthly Grubhub Stipend Flexible PTO Paid parental leave Fully Embrace Remote Teamwork Career Development MacBook Pro and hardware stipend to get you started And more Whether it's scaling our platform to handle millions of automated chats a day or designing a beautiful, frictionless, and delightful experience for patient users and their care team; Conversa has many unique and creative opportunities to impact the future of automated virtual care. Apply Today!
09/22/2026
Full time
Job DescriptionJob Description Are you a dynamic, seasoned client professional who lives on Long Island, NY and who excels at managing clients and can also help cultivate a client management team by developing processes and best practices - and delivering solutions that scale? If so, this Client Program Manager role is for you. We are looking for someone who has experience managing all aspects of client relationships and who wants to join a dynamic team that is quickly scaling to transform care delivery with its market-leading automated virtual health platform. In this position, you will need to bring passion as well as skills in relationship building, consulting, project management, business analysis, reporting, software lifecycle management, and scaling an organization. This position will require regular transportation to multiple locations primarily on Long Island but also to other sites across New York City. Responsibilities: Be the focal point for the client's every need and become a trusted advisor with clients by deeply understanding their business and aligning their needs with our solutions Track and monitor client status, identifying areas of concern, and pursue growth and upsell opportunities. Drive the onboarding of new client accounts and ensure successful implementations as well as deep trusted relationships. • Write technical and functional requirements, when necessary, during implementation. Act as client advocate while effectively collaborating with internal teams, including product management, content, engineering, growth, and finance. Support the reporting and analytics needs of the client. Build out client management processes internally and identify best practices. • Coordinate, execute, track, and deliver various customer projects from initiation through completion. Identify and resolve operational and services related issues to ensure customer satisfaction. • Assess risks at the customer project level so as to develop and execute risk and contingency management plans as needed. Inform senior management and clients on project status, schedules, and key issues on a regular basis. • Provide timely responses to all customer-driven performance inquiries. Work with the growth team on contract renewals, extensions, and scope change activities. • Improve key aspects of the project lifecycle to creatively address complex problems. Qualifications: Bachelor's degree 7+ years experience in account management & client services organizations working with large clients, healthcare provider system clients preferred Experience in healthcare, providing or supporting care to patients Experience in communicating with senior business leaders Experience with healthcare ROI models Experience working in an organization that provides software as a service Experience using Microsoft Office, Google applications, Jira, Confluence, project management tools Capabilities (skills or knowledge required for success): Excellent written and verbal communication skills Exceptional client relationship-building skills Strong critical thinking and analysis skills with a passion for solving problems that have not been solved before Strong project management skills Ability to communicate well with people at all levels Ability to work cross-functionally in a dynamic team environment Ability to manage influence through persuasion, negotiation, and consensus-building Ability to visit client sites within the New York area but concentrated on Long Island multiple times a week Ability to travel outside of the New York area occasionally At Conversa, we're hard at work developing, marketing, and implementing both our leading conversational care and communication technology as well as the processes and systems that support this future of care delivery and collaboration between providers and their patient users. To help get us there, we're cultivating a diverse and vibrant team that works together to change the way healthcare is delivered. As a rapidly growing company, we've embraced several core values that guide both our culture and team: We care about people - the patients our chats are designed to help, the care team members who use our solutions, our partners who help bring our products to market, and most of all, our team members with whom we work. We strive to be empathetic and trusting, to understand and create space for the sharing of feelings and perspectives from others. We are data-driven. We strive to make decisions based on the best available data. If data changes, we will be open to changing our perspective. We will always endeavor to collect and create the most rigorous data we can. We, similar to the best healthcare providers, are evidence-based. We are passionate about improving the health & care of every person we can, and we are passionate about building a sustainable company that can impact the lives of as many people as possible. We are passionate about doing it with team members who share the same passion. We strive to be proactive. Just like we are trying to move healthcare from being reactive to proactive, we value pushing things forward - solutions, ideas, the business, ourselves. We are problem solvers. To be great problem solvers, we need to identify which are the important problems to solve and be creative, collaborative, and relentless until they are solved. Bundled with our strong culture, we offer all Conversans competitive compensation, regardless of location, and a comprehensive benefits package including: 401k plan Medical, Dental, Vision benefits Monthly Grubhub Stipend Flexible PTO Paid parental leave Fully Embrace Remote Teamwork Career Development MacBook Pro and hardware stipend to get you started And more Whether it's scaling our platform to handle millions of automated chats a day or designing a beautiful, frictionless, and delightful experience for patient users and their care team; Conversa has many unique and creative opportunities to impact the future of automated virtual care. Apply Today!
Job DescriptionJob Description SENIOR TECHNICAL INFRASTRUCTURE PROJECT MANAGER Location; Newport Beach, CA JOB DESCRIPTION As a Senior Technical Infrastructure Project Manager within the company's Infrastructure & Operations Tower, you'll lead the planning, execution, and delivery of complex infrastructure technology initiatives with a primary focus on End User Services (EUS) and Information Security & Operations, with secondary support for Network and working knowledge of Cloud and Compute initiatives. You will be embedded within the I&O Tower - one of the largest portfolios in the company's Technology - supporting infrastructure modernization, identity and access management, endpoint/user services, resiliency, service transition, and operational readiness outcomes aligned to enterprise technology priorities. This role requires more than traditional project coordination. We are looking for a consultative, technically fluent infrastructure PM who can facilitate technical working sessions, understand architecture and operational dependencies at a working level, ask probing and technically informed questions of engineers and architects, challenge assumptions, identify delivery gaps, and translate technical complexity into clear, executive-ready updates. The ideal candidate brings strong delivery experience across identity governance, IT service management, endpoint security, disaster recovery/business continuity, infrastructure readiness, cutover planning, and operational handoff. KEY RESPONSIBILITIES TECHNICAL INFRASTRUCTURE DELIVERY Lead delivery of complex, cross-functional infrastructure projects across End User Services and Information Security & Operations, with secondary support for Network and Cloud/Compute dependencies. Drive infrastructure modernization programs including Identity Governance & Administration (IGA) 2.0, EUS Global Expansion, User Access Management Automation, ITAM Optimization & Maturity, Service Design & Transition, Global DR Assessment, and broader DR/BC resilience initiatives. Develop and manage integrated project plans, technical workstream plans, milestones, dependencies, decision points, readiness criteria, and delivery risks across engineering, architecture, operations, security, and business stakeholders. Coordinate environment readiness, migration/cutover planning, change alignment, release coordination, validation activities, operational handoff, and service transition to ensure infrastructure solutions are production-ready and supportable. STAKEHOLDER & GOVERNANCE MANAGEMENT Lead and influence stakeholders across engineering, architecture, operations, cybersecurity, service management, and business teams while balancing global standards with regional needs in a matrixed operating model. Serve as a liaison between Technology, Re, Corporate Functions, vendors, and delivery partners; build strong relationships with project sponsors and technical leaders to support timely decisions and delivery alignment. Manage scope, schedule, budget, resources, risks, issues, dependencies, assumptions, decisions, and change impacts; escalate barriers early and facilitate governance forums, project reviews, and steering committee discussions. Translate technical status, risks, readiness gaps, and delivery tradeoffs into clear project communications, executive summaries, KPIs, Power BI dashboards, and management committee updates. RISK, READINESS, CHANGE & OPERATIONAL HANDOFF Drive infrastructure readiness planning, including technical prerequisites, operational acceptance criteria, support model alignment, service transition, runbook readiness, knowledge transfer, and production support handoff. Partner with change, release, service management, cybersecurity, and operations teams to ensure technical changes are sequenced, communicated, approved, validated, and transitioned effectively. Identify delivery process improvements, coach project team members on strong delivery discipline, and help raise the quality of planning, reporting, risk management, and execution across the Infrastructure Tower. QUALIFICATIONS CORE PROJECT MANAGEMENT COMPETENCIES 7-10+ years of progressive experience in project/program management, including demonstrated delivery of enterprise infrastructure and technology projects (Waterfall, Agile, and hybrid delivery models). Proven success managing $1M-$5M+ infrastructure programs with budgets, timelines, and cross-functional dependencies spanning 12-24 months. Strong understanding of Agile principles and practices, with the ability to coach teams on Agile adoption, Scrum, Kanban, and continuous improvement. Demonstrated experience applying multi-modal delivery (incremental waterfall, hybrid, agile) in enterprise technology environments. INFRASTRUCTURE DOMAIN KNOWLEDGE The ideal candidate brings strong depth in End User Services and Information Security & Operations, with working knowledge of Network and Cloud/Compute environments. Demonstrated project experience in two or more of the following areas is required: End User Services (PRIMARY FOCUS) Service / Technology AreaRelevant Delivery ScopeExample Transition Technologies Identity & Access Management Services Identity lifecycle management, access certification, privileged access, role-based provisioning, customer identity, and enterprise directory , Delinea, Okta, Microsoft Entra End User Services Delivery Global end-user service operations, regional onboarding, service desk enablement, incident/change alignment, endpoint support, and user experience improvements.ServiceNow, Microsoft Intune, Microsoft 365, Teams User Access & Workflow Automation Automation of access requests, application provisioning, onboarding/offboarding workflows, intelligent routing, self-service enablement, and shift-left support models.ServiceNow workflows, Moveworks, IVR AI, automation platforms IT Asset & Configuration Management Software and hardware asset lifecycle management, license optimization, CMDB data quality, business application mapping, dependency tracking, and configuration governance.ServiceNow ITAM, ServiceNow CMDB, discovery/mapping tools Directory & Collaboration Platform Modernization Directory consolidation, group and account migration, policy impacts, collaborationActive Directory, Microsoft Entra ID, Microsoft 365, Teams platform readiness, and related service transition activities. Information Security & Operations (PRIMARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Disaster Recovery & Business Continuity Services DR/BC capability assessments, application recovery planning, resiliency modernization, test strategy, business ownership alignment, and recovery readiness governance.Cloud-enabled DR platforms, backup/recovery tools, resiliency reporting dashboards Service Design & Operational Transition ITIL-aligned service design, production readiness, support model definition, operational acceptance criteria, runbook readiness, knowledge transfer, and handoff to ITSM/ITOM/CMDB, knowledge management, operational runbook tools Endpoint Security & Protection Services Endpoint detection and response, device protection, application control, cyber agent compliance, endpoint hardening, and operational controls for managed devices.Microsoft Defender, EDR/XDR platforms, endpoint management agents Vulnerability, Patch & Compliance Operations Operating system and third-party patching, compliance tracking, remediation coordination, vulnerability reduction, audit readiness, and control evidence support.Qualys/Tenable, Tanium, SCCM/Intune, ServiceNow vulnerability workflows Monitoring, Incident & Stability Management Proactive monitoring, alerting, root cause analysis, major incident reduction, operational stability improvements, and service health reporting. Splunk, Nexthink, ServiceNow ITOM, monitoring and observability platforms Network (SECONDARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Network Infrastructure for Workplace & Location Services Planning and delivery of network connectivity, switching, wireless, voice/video readiness, circuit coordination, and infrastructure support for office builds, return-to-office needs, and location expansions.Cisco networking, wireless platforms, LAN/WAN circuits, collaboration network services Enterprise WAN & Cloud Connectivity Modernization Modernization of global WAN connectivity, routing, segmentation, VPN access, cloud connectivity, failover design, and network readiness to support cloud-first and hybrid infrastructure operating models.SD-WAN, MPLS, VPN, cloud WAN, Azure/AWS connectivity, ExpressRoute/Direct Connect SOFT SKILLS & CONSULTING MINDSET Consultative mindset: strong problem-solving abilities, sound judgment, and the ability to identify practical solutions, evaluate alternatives, and recommend clear delivery paths. Prior experience with a Big Four or major consulting firm is preferred. Executive communication: excellent interpersonal skills, poise, diplomacy, and the ability to influence stakeholders toward consensus, manage conflict, and support timely decision-making. Delivery ownership: self-starter who is highly organized . click apply for full job details
09/22/2026
Full time
Job DescriptionJob Description SENIOR TECHNICAL INFRASTRUCTURE PROJECT MANAGER Location; Newport Beach, CA JOB DESCRIPTION As a Senior Technical Infrastructure Project Manager within the company's Infrastructure & Operations Tower, you'll lead the planning, execution, and delivery of complex infrastructure technology initiatives with a primary focus on End User Services (EUS) and Information Security & Operations, with secondary support for Network and working knowledge of Cloud and Compute initiatives. You will be embedded within the I&O Tower - one of the largest portfolios in the company's Technology - supporting infrastructure modernization, identity and access management, endpoint/user services, resiliency, service transition, and operational readiness outcomes aligned to enterprise technology priorities. This role requires more than traditional project coordination. We are looking for a consultative, technically fluent infrastructure PM who can facilitate technical working sessions, understand architecture and operational dependencies at a working level, ask probing and technically informed questions of engineers and architects, challenge assumptions, identify delivery gaps, and translate technical complexity into clear, executive-ready updates. The ideal candidate brings strong delivery experience across identity governance, IT service management, endpoint security, disaster recovery/business continuity, infrastructure readiness, cutover planning, and operational handoff. KEY RESPONSIBILITIES TECHNICAL INFRASTRUCTURE DELIVERY Lead delivery of complex, cross-functional infrastructure projects across End User Services and Information Security & Operations, with secondary support for Network and Cloud/Compute dependencies. Drive infrastructure modernization programs including Identity Governance & Administration (IGA) 2.0, EUS Global Expansion, User Access Management Automation, ITAM Optimization & Maturity, Service Design & Transition, Global DR Assessment, and broader DR/BC resilience initiatives. Develop and manage integrated project plans, technical workstream plans, milestones, dependencies, decision points, readiness criteria, and delivery risks across engineering, architecture, operations, security, and business stakeholders. Coordinate environment readiness, migration/cutover planning, change alignment, release coordination, validation activities, operational handoff, and service transition to ensure infrastructure solutions are production-ready and supportable. STAKEHOLDER & GOVERNANCE MANAGEMENT Lead and influence stakeholders across engineering, architecture, operations, cybersecurity, service management, and business teams while balancing global standards with regional needs in a matrixed operating model. Serve as a liaison between Technology, Re, Corporate Functions, vendors, and delivery partners; build strong relationships with project sponsors and technical leaders to support timely decisions and delivery alignment. Manage scope, schedule, budget, resources, risks, issues, dependencies, assumptions, decisions, and change impacts; escalate barriers early and facilitate governance forums, project reviews, and steering committee discussions. Translate technical status, risks, readiness gaps, and delivery tradeoffs into clear project communications, executive summaries, KPIs, Power BI dashboards, and management committee updates. RISK, READINESS, CHANGE & OPERATIONAL HANDOFF Drive infrastructure readiness planning, including technical prerequisites, operational acceptance criteria, support model alignment, service transition, runbook readiness, knowledge transfer, and production support handoff. Partner with change, release, service management, cybersecurity, and operations teams to ensure technical changes are sequenced, communicated, approved, validated, and transitioned effectively. Identify delivery process improvements, coach project team members on strong delivery discipline, and help raise the quality of planning, reporting, risk management, and execution across the Infrastructure Tower. QUALIFICATIONS CORE PROJECT MANAGEMENT COMPETENCIES 7-10+ years of progressive experience in project/program management, including demonstrated delivery of enterprise infrastructure and technology projects (Waterfall, Agile, and hybrid delivery models). Proven success managing $1M-$5M+ infrastructure programs with budgets, timelines, and cross-functional dependencies spanning 12-24 months. Strong understanding of Agile principles and practices, with the ability to coach teams on Agile adoption, Scrum, Kanban, and continuous improvement. Demonstrated experience applying multi-modal delivery (incremental waterfall, hybrid, agile) in enterprise technology environments. INFRASTRUCTURE DOMAIN KNOWLEDGE The ideal candidate brings strong depth in End User Services and Information Security & Operations, with working knowledge of Network and Cloud/Compute environments. Demonstrated project experience in two or more of the following areas is required: End User Services (PRIMARY FOCUS) Service / Technology AreaRelevant Delivery ScopeExample Transition Technologies Identity & Access Management Services Identity lifecycle management, access certification, privileged access, role-based provisioning, customer identity, and enterprise directory , Delinea, Okta, Microsoft Entra End User Services Delivery Global end-user service operations, regional onboarding, service desk enablement, incident/change alignment, endpoint support, and user experience improvements.ServiceNow, Microsoft Intune, Microsoft 365, Teams User Access & Workflow Automation Automation of access requests, application provisioning, onboarding/offboarding workflows, intelligent routing, self-service enablement, and shift-left support models.ServiceNow workflows, Moveworks, IVR AI, automation platforms IT Asset & Configuration Management Software and hardware asset lifecycle management, license optimization, CMDB data quality, business application mapping, dependency tracking, and configuration governance.ServiceNow ITAM, ServiceNow CMDB, discovery/mapping tools Directory & Collaboration Platform Modernization Directory consolidation, group and account migration, policy impacts, collaborationActive Directory, Microsoft Entra ID, Microsoft 365, Teams platform readiness, and related service transition activities. Information Security & Operations (PRIMARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Disaster Recovery & Business Continuity Services DR/BC capability assessments, application recovery planning, resiliency modernization, test strategy, business ownership alignment, and recovery readiness governance.Cloud-enabled DR platforms, backup/recovery tools, resiliency reporting dashboards Service Design & Operational Transition ITIL-aligned service design, production readiness, support model definition, operational acceptance criteria, runbook readiness, knowledge transfer, and handoff to ITSM/ITOM/CMDB, knowledge management, operational runbook tools Endpoint Security & Protection Services Endpoint detection and response, device protection, application control, cyber agent compliance, endpoint hardening, and operational controls for managed devices.Microsoft Defender, EDR/XDR platforms, endpoint management agents Vulnerability, Patch & Compliance Operations Operating system and third-party patching, compliance tracking, remediation coordination, vulnerability reduction, audit readiness, and control evidence support.Qualys/Tenable, Tanium, SCCM/Intune, ServiceNow vulnerability workflows Monitoring, Incident & Stability Management Proactive monitoring, alerting, root cause analysis, major incident reduction, operational stability improvements, and service health reporting. Splunk, Nexthink, ServiceNow ITOM, monitoring and observability platforms Network (SECONDARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Network Infrastructure for Workplace & Location Services Planning and delivery of network connectivity, switching, wireless, voice/video readiness, circuit coordination, and infrastructure support for office builds, return-to-office needs, and location expansions.Cisco networking, wireless platforms, LAN/WAN circuits, collaboration network services Enterprise WAN & Cloud Connectivity Modernization Modernization of global WAN connectivity, routing, segmentation, VPN access, cloud connectivity, failover design, and network readiness to support cloud-first and hybrid infrastructure operating models.SD-WAN, MPLS, VPN, cloud WAN, Azure/AWS connectivity, ExpressRoute/Direct Connect SOFT SKILLS & CONSULTING MINDSET Consultative mindset: strong problem-solving abilities, sound judgment, and the ability to identify practical solutions, evaluate alternatives, and recommend clear delivery paths. Prior experience with a Big Four or major consulting firm is preferred. Executive communication: excellent interpersonal skills, poise, diplomacy, and the ability to influence stakeholders toward consensus, manage conflict, and support timely decision-making. Delivery ownership: self-starter who is highly organized . click apply for full job details
Job DescriptionJob Description SENIOR TECHNICAL INFRASTRUCTURE PROJECT MANAGER Location; Newport Beach, CA JOB DESCRIPTION As a Senior Technical Infrastructure Project Manager within the company's Infrastructure & Operations Tower, you'll lead the planning, execution, and delivery of complex infrastructure technology initiatives with a primary focus on End User Services (EUS) and Information Security & Operations, with secondary support for Network and working knowledge of Cloud and Compute initiatives. You will be embedded within the I&O Tower - one of the largest portfolios in the company's Technology - supporting infrastructure modernization, identity and access management, endpoint/user services, resiliency, service transition, and operational readiness outcomes aligned to enterprise technology priorities. This role requires more than traditional project coordination. We are looking for a consultative, technically fluent infrastructure PM who can facilitate technical working sessions, understand architecture and operational dependencies at a working level, ask probing and technically informed questions of engineers and architects, challenge assumptions, identify delivery gaps, and translate technical complexity into clear, executive-ready updates. The ideal candidate brings strong delivery experience across identity governance, IT service management, endpoint security, disaster recovery/business continuity, infrastructure readiness, cutover planning, and operational handoff. KEY RESPONSIBILITIES TECHNICAL INFRASTRUCTURE DELIVERY Lead delivery of complex, cross-functional infrastructure projects across End User Services and Information Security & Operations, with secondary support for Network and Cloud/Compute dependencies. Drive infrastructure modernization programs including Identity Governance & Administration (IGA) 2.0, EUS Global Expansion, User Access Management Automation, ITAM Optimization & Maturity, Service Design & Transition, Global DR Assessment, and broader DR/BC resilience initiatives. Develop and manage integrated project plans, technical workstream plans, milestones, dependencies, decision points, readiness criteria, and delivery risks across engineering, architecture, operations, security, and business stakeholders. Coordinate environment readiness, migration/cutover planning, change alignment, release coordination, validation activities, operational handoff, and service transition to ensure infrastructure solutions are production-ready and supportable. STAKEHOLDER & GOVERNANCE MANAGEMENT Lead and influence stakeholders across engineering, architecture, operations, cybersecurity, service management, and business teams while balancing global standards with regional needs in a matrixed operating model. Serve as a liaison between Technology, Re, Corporate Functions, vendors, and delivery partners; build strong relationships with project sponsors and technical leaders to support timely decisions and delivery alignment. Manage scope, schedule, budget, resources, risks, issues, dependencies, assumptions, decisions, and change impacts; escalate barriers early and facilitate governance forums, project reviews, and steering committee discussions. Translate technical status, risks, readiness gaps, and delivery tradeoffs into clear project communications, executive summaries, KPIs, Power BI dashboards, and management committee updates. RISK, READINESS, CHANGE & OPERATIONAL HANDOFF Drive infrastructure readiness planning, including technical prerequisites, operational acceptance criteria, support model alignment, service transition, runbook readiness, knowledge transfer, and production support handoff. Partner with change, release, service management, cybersecurity, and operations teams to ensure technical changes are sequenced, communicated, approved, validated, and transitioned effectively. Identify delivery process improvements, coach project team members on strong delivery discipline, and help raise the quality of planning, reporting, risk management, and execution across the Infrastructure Tower. QUALIFICATIONS CORE PROJECT MANAGEMENT COMPETENCIES 7-10+ years of progressive experience in project/program management, including demonstrated delivery of enterprise infrastructure and technology projects (Waterfall, Agile, and hybrid delivery models). Proven success managing $1M-$5M+ infrastructure programs with budgets, timelines, and cross-functional dependencies spanning 12-24 months. Strong understanding of Agile principles and practices, with the ability to coach teams on Agile adoption, Scrum, Kanban, and continuous improvement. Demonstrated experience applying multi-modal delivery (incremental waterfall, hybrid, agile) in enterprise technology environments. INFRASTRUCTURE DOMAIN KNOWLEDGE The ideal candidate brings strong depth in End User Services and Information Security & Operations, with working knowledge of Network and Cloud/Compute environments. Demonstrated project experience in two or more of the following areas is required: End User Services (PRIMARY FOCUS) Service / Technology AreaRelevant Delivery ScopeExample Transition Technologies Identity & Access Management Services Identity lifecycle management, access certification, privileged access, role-based provisioning, customer identity, and enterprise directory , Delinea, Okta, Microsoft Entra End User Services Delivery Global end-user service operations, regional onboarding, service desk enablement, incident/change alignment, endpoint support, and user experience improvements.ServiceNow, Microsoft Intune, Microsoft 365, Teams User Access & Workflow Automation Automation of access requests, application provisioning, onboarding/offboarding workflows, intelligent routing, self-service enablement, and shift-left support models.ServiceNow workflows, Moveworks, IVR AI, automation platforms IT Asset & Configuration Management Software and hardware asset lifecycle management, license optimization, CMDB data quality, business application mapping, dependency tracking, and configuration governance.ServiceNow ITAM, ServiceNow CMDB, discovery/mapping tools Directory & Collaboration Platform Modernization Directory consolidation, group and account migration, policy impacts, collaborationActive Directory, Microsoft Entra ID, Microsoft 365, Teams platform readiness, and related service transition activities. Information Security & Operations (PRIMARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Disaster Recovery & Business Continuity Services DR/BC capability assessments, application recovery planning, resiliency modernization, test strategy, business ownership alignment, and recovery readiness governance.Cloud-enabled DR platforms, backup/recovery tools, resiliency reporting dashboards Service Design & Operational Transition ITIL-aligned service design, production readiness, support model definition, operational acceptance criteria, runbook readiness, knowledge transfer, and handoff to ITSM/ITOM/CMDB, knowledge management, operational runbook tools Endpoint Security & Protection Services Endpoint detection and response, device protection, application control, cyber agent compliance, endpoint hardening, and operational controls for managed devices.Microsoft Defender, EDR/XDR platforms, endpoint management agents Vulnerability, Patch & Compliance Operations Operating system and third-party patching, compliance tracking, remediation coordination, vulnerability reduction, audit readiness, and control evidence support.Qualys/Tenable, Tanium, SCCM/Intune, ServiceNow vulnerability workflows Monitoring, Incident & Stability Management Proactive monitoring, alerting, root cause analysis, major incident reduction, operational stability improvements, and service health reporting. Splunk, Nexthink, ServiceNow ITOM, monitoring and observability platforms Network (SECONDARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Network Infrastructure for Workplace & Location Services Planning and delivery of network connectivity, switching, wireless, voice/video readiness, circuit coordination, and infrastructure support for office builds, return-to-office needs, and location expansions.Cisco networking, wireless platforms, LAN/WAN circuits, collaboration network services Enterprise WAN & Cloud Connectivity Modernization Modernization of global WAN connectivity, routing, segmentation, VPN access, cloud connectivity, failover design, and network readiness to support cloud-first and hybrid infrastructure operating models.SD-WAN, MPLS, VPN, cloud WAN, Azure/AWS connectivity, ExpressRoute/Direct Connect SOFT SKILLS & CONSULTING MINDSET Consultative mindset: strong problem-solving abilities, sound judgment, and the ability to identify practical solutions, evaluate alternatives, and recommend clear delivery paths. Prior experience with a Big Four or major consulting firm is preferred. Executive communication: excellent interpersonal skills, poise, diplomacy, and the ability to influence stakeholders toward consensus, manage conflict, and support timely decision-making. Delivery ownership: self-starter who is highly organized . click apply for full job details
09/22/2026
Full time
Job DescriptionJob Description SENIOR TECHNICAL INFRASTRUCTURE PROJECT MANAGER Location; Newport Beach, CA JOB DESCRIPTION As a Senior Technical Infrastructure Project Manager within the company's Infrastructure & Operations Tower, you'll lead the planning, execution, and delivery of complex infrastructure technology initiatives with a primary focus on End User Services (EUS) and Information Security & Operations, with secondary support for Network and working knowledge of Cloud and Compute initiatives. You will be embedded within the I&O Tower - one of the largest portfolios in the company's Technology - supporting infrastructure modernization, identity and access management, endpoint/user services, resiliency, service transition, and operational readiness outcomes aligned to enterprise technology priorities. This role requires more than traditional project coordination. We are looking for a consultative, technically fluent infrastructure PM who can facilitate technical working sessions, understand architecture and operational dependencies at a working level, ask probing and technically informed questions of engineers and architects, challenge assumptions, identify delivery gaps, and translate technical complexity into clear, executive-ready updates. The ideal candidate brings strong delivery experience across identity governance, IT service management, endpoint security, disaster recovery/business continuity, infrastructure readiness, cutover planning, and operational handoff. KEY RESPONSIBILITIES TECHNICAL INFRASTRUCTURE DELIVERY Lead delivery of complex, cross-functional infrastructure projects across End User Services and Information Security & Operations, with secondary support for Network and Cloud/Compute dependencies. Drive infrastructure modernization programs including Identity Governance & Administration (IGA) 2.0, EUS Global Expansion, User Access Management Automation, ITAM Optimization & Maturity, Service Design & Transition, Global DR Assessment, and broader DR/BC resilience initiatives. Develop and manage integrated project plans, technical workstream plans, milestones, dependencies, decision points, readiness criteria, and delivery risks across engineering, architecture, operations, security, and business stakeholders. Coordinate environment readiness, migration/cutover planning, change alignment, release coordination, validation activities, operational handoff, and service transition to ensure infrastructure solutions are production-ready and supportable. STAKEHOLDER & GOVERNANCE MANAGEMENT Lead and influence stakeholders across engineering, architecture, operations, cybersecurity, service management, and business teams while balancing global standards with regional needs in a matrixed operating model. Serve as a liaison between Technology, Re, Corporate Functions, vendors, and delivery partners; build strong relationships with project sponsors and technical leaders to support timely decisions and delivery alignment. Manage scope, schedule, budget, resources, risks, issues, dependencies, assumptions, decisions, and change impacts; escalate barriers early and facilitate governance forums, project reviews, and steering committee discussions. Translate technical status, risks, readiness gaps, and delivery tradeoffs into clear project communications, executive summaries, KPIs, Power BI dashboards, and management committee updates. RISK, READINESS, CHANGE & OPERATIONAL HANDOFF Drive infrastructure readiness planning, including technical prerequisites, operational acceptance criteria, support model alignment, service transition, runbook readiness, knowledge transfer, and production support handoff. Partner with change, release, service management, cybersecurity, and operations teams to ensure technical changes are sequenced, communicated, approved, validated, and transitioned effectively. Identify delivery process improvements, coach project team members on strong delivery discipline, and help raise the quality of planning, reporting, risk management, and execution across the Infrastructure Tower. QUALIFICATIONS CORE PROJECT MANAGEMENT COMPETENCIES 7-10+ years of progressive experience in project/program management, including demonstrated delivery of enterprise infrastructure and technology projects (Waterfall, Agile, and hybrid delivery models). Proven success managing $1M-$5M+ infrastructure programs with budgets, timelines, and cross-functional dependencies spanning 12-24 months. Strong understanding of Agile principles and practices, with the ability to coach teams on Agile adoption, Scrum, Kanban, and continuous improvement. Demonstrated experience applying multi-modal delivery (incremental waterfall, hybrid, agile) in enterprise technology environments. INFRASTRUCTURE DOMAIN KNOWLEDGE The ideal candidate brings strong depth in End User Services and Information Security & Operations, with working knowledge of Network and Cloud/Compute environments. Demonstrated project experience in two or more of the following areas is required: End User Services (PRIMARY FOCUS) Service / Technology AreaRelevant Delivery ScopeExample Transition Technologies Identity & Access Management Services Identity lifecycle management, access certification, privileged access, role-based provisioning, customer identity, and enterprise directory , Delinea, Okta, Microsoft Entra End User Services Delivery Global end-user service operations, regional onboarding, service desk enablement, incident/change alignment, endpoint support, and user experience improvements.ServiceNow, Microsoft Intune, Microsoft 365, Teams User Access & Workflow Automation Automation of access requests, application provisioning, onboarding/offboarding workflows, intelligent routing, self-service enablement, and shift-left support models.ServiceNow workflows, Moveworks, IVR AI, automation platforms IT Asset & Configuration Management Software and hardware asset lifecycle management, license optimization, CMDB data quality, business application mapping, dependency tracking, and configuration governance.ServiceNow ITAM, ServiceNow CMDB, discovery/mapping tools Directory & Collaboration Platform Modernization Directory consolidation, group and account migration, policy impacts, collaborationActive Directory, Microsoft Entra ID, Microsoft 365, Teams platform readiness, and related service transition activities. Information Security & Operations (PRIMARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Disaster Recovery & Business Continuity Services DR/BC capability assessments, application recovery planning, resiliency modernization, test strategy, business ownership alignment, and recovery readiness governance.Cloud-enabled DR platforms, backup/recovery tools, resiliency reporting dashboards Service Design & Operational Transition ITIL-aligned service design, production readiness, support model definition, operational acceptance criteria, runbook readiness, knowledge transfer, and handoff to ITSM/ITOM/CMDB, knowledge management, operational runbook tools Endpoint Security & Protection Services Endpoint detection and response, device protection, application control, cyber agent compliance, endpoint hardening, and operational controls for managed devices.Microsoft Defender, EDR/XDR platforms, endpoint management agents Vulnerability, Patch & Compliance Operations Operating system and third-party patching, compliance tracking, remediation coordination, vulnerability reduction, audit readiness, and control evidence support.Qualys/Tenable, Tanium, SCCM/Intune, ServiceNow vulnerability workflows Monitoring, Incident & Stability Management Proactive monitoring, alerting, root cause analysis, major incident reduction, operational stability improvements, and service health reporting. Splunk, Nexthink, ServiceNow ITOM, monitoring and observability platforms Network (SECONDARY FOCUS) Service / Technology Area Relevant Delivery ScopeExample Transition Technologies Network Infrastructure for Workplace & Location Services Planning and delivery of network connectivity, switching, wireless, voice/video readiness, circuit coordination, and infrastructure support for office builds, return-to-office needs, and location expansions.Cisco networking, wireless platforms, LAN/WAN circuits, collaboration network services Enterprise WAN & Cloud Connectivity Modernization Modernization of global WAN connectivity, routing, segmentation, VPN access, cloud connectivity, failover design, and network readiness to support cloud-first and hybrid infrastructure operating models.SD-WAN, MPLS, VPN, cloud WAN, Azure/AWS connectivity, ExpressRoute/Direct Connect SOFT SKILLS & CONSULTING MINDSET Consultative mindset: strong problem-solving abilities, sound judgment, and the ability to identify practical solutions, evaluate alternatives, and recommend clear delivery paths. Prior experience with a Big Four or major consulting firm is preferred. Executive communication: excellent interpersonal skills, poise, diplomacy, and the ability to influence stakeholders toward consensus, manage conflict, and support timely decision-making. Delivery ownership: self-starter who is highly organized . click apply for full job details
Job DescriptionJob Description Are you a dynamic, seasoned client professional who lives on Long Island, NY and who excels at managing clients and can also help cultivate a client management team by developing processes and best practices - and delivering solutions that scale? If so, this Client Program Manager role is for you. We are looking for someone who has experience managing all aspects of client relationships and who wants to join a dynamic team that is quickly scaling to transform care delivery with its market-leading automated virtual health platform. In this position, you will need to bring passion as well as skills in relationship building, consulting, project management, business analysis, reporting, software lifecycle management, and scaling an organization. This position will require regular transportation to multiple locations primarily on Long Island but also to other sites across New York City. Responsibilities: Be the focal point for the client's every need and become a trusted advisor with clients by deeply understanding their business and aligning their needs with our solutions Track and monitor client status, identifying areas of concern, and pursue growth and upsell opportunities. Drive the onboarding of new client accounts and ensure successful implementations as well as deep trusted relationships. • Write technical and functional requirements, when necessary, during implementation. Act as client advocate while effectively collaborating with internal teams, including product management, content, engineering, growth, and finance. Support the reporting and analytics needs of the client. Build out client management processes internally and identify best practices. • Coordinate, execute, track, and deliver various customer projects from initiation through completion. Identify and resolve operational and services related issues to ensure customer satisfaction. • Assess risks at the customer project level so as to develop and execute risk and contingency management plans as needed. Inform senior management and clients on project status, schedules, and key issues on a regular basis. • Provide timely responses to all customer-driven performance inquiries. Work with the growth team on contract renewals, extensions, and scope change activities. • Improve key aspects of the project lifecycle to creatively address complex problems. Qualifications: Bachelor's degree 7+ years experience in account management & client services organizations working with large clients, healthcare provider system clients preferred Experience in healthcare, providing or supporting care to patients Experience in communicating with senior business leaders Experience with healthcare ROI models Experience working in an organization that provides software as a service Experience using Microsoft Office, Google applications, Jira, Confluence, project management tools Capabilities (skills or knowledge required for success): Excellent written and verbal communication skills Exceptional client relationship-building skills Strong critical thinking and analysis skills with a passion for solving problems that have not been solved before Strong project management skills Ability to communicate well with people at all levels Ability to work cross-functionally in a dynamic team environment Ability to manage influence through persuasion, negotiation, and consensus-building Ability to visit client sites within the New York area but concentrated on Long Island multiple times a week Ability to travel outside of the New York area occasionally At Conversa, we're hard at work developing, marketing, and implementing both our leading conversational care and communication technology as well as the processes and systems that support this future of care delivery and collaboration between providers and their patient users. To help get us there, we're cultivating a diverse and vibrant team that works together to change the way healthcare is delivered. As a rapidly growing company, we've embraced several core values that guide both our culture and team: We care about people - the patients our chats are designed to help, the care team members who use our solutions, our partners who help bring our products to market, and most of all, our team members with whom we work. We strive to be empathetic and trusting, to understand and create space for the sharing of feelings and perspectives from others. We are data-driven. We strive to make decisions based on the best available data. If data changes, we will be open to changing our perspective. We will always endeavor to collect and create the most rigorous data we can. We, similar to the best healthcare providers, are evidence-based. We are passionate about improving the health & care of every person we can, and we are passionate about building a sustainable company that can impact the lives of as many people as possible. We are passionate about doing it with team members who share the same passion. We strive to be proactive. Just like we are trying to move healthcare from being reactive to proactive, we value pushing things forward - solutions, ideas, the business, ourselves. We are problem solvers. To be great problem solvers, we need to identify which are the important problems to solve and be creative, collaborative, and relentless until they are solved. Bundled with our strong culture, we offer all Conversans competitive compensation, regardless of location, and a comprehensive benefits package including: 401k plan Medical, Dental, Vision benefits Monthly Grubhub Stipend Flexible PTO Paid parental leave Fully Embrace Remote Teamwork Career Development MacBook Pro and hardware stipend to get you started And more Whether it's scaling our platform to handle millions of automated chats a day or designing a beautiful, frictionless, and delightful experience for patient users and their care team; Conversa has many unique and creative opportunities to impact the future of automated virtual care. Apply Today!
09/22/2026
Full time
Job DescriptionJob Description Are you a dynamic, seasoned client professional who lives on Long Island, NY and who excels at managing clients and can also help cultivate a client management team by developing processes and best practices - and delivering solutions that scale? If so, this Client Program Manager role is for you. We are looking for someone who has experience managing all aspects of client relationships and who wants to join a dynamic team that is quickly scaling to transform care delivery with its market-leading automated virtual health platform. In this position, you will need to bring passion as well as skills in relationship building, consulting, project management, business analysis, reporting, software lifecycle management, and scaling an organization. This position will require regular transportation to multiple locations primarily on Long Island but also to other sites across New York City. Responsibilities: Be the focal point for the client's every need and become a trusted advisor with clients by deeply understanding their business and aligning their needs with our solutions Track and monitor client status, identifying areas of concern, and pursue growth and upsell opportunities. Drive the onboarding of new client accounts and ensure successful implementations as well as deep trusted relationships. • Write technical and functional requirements, when necessary, during implementation. Act as client advocate while effectively collaborating with internal teams, including product management, content, engineering, growth, and finance. Support the reporting and analytics needs of the client. Build out client management processes internally and identify best practices. • Coordinate, execute, track, and deliver various customer projects from initiation through completion. Identify and resolve operational and services related issues to ensure customer satisfaction. • Assess risks at the customer project level so as to develop and execute risk and contingency management plans as needed. Inform senior management and clients on project status, schedules, and key issues on a regular basis. • Provide timely responses to all customer-driven performance inquiries. Work with the growth team on contract renewals, extensions, and scope change activities. • Improve key aspects of the project lifecycle to creatively address complex problems. Qualifications: Bachelor's degree 7+ years experience in account management & client services organizations working with large clients, healthcare provider system clients preferred Experience in healthcare, providing or supporting care to patients Experience in communicating with senior business leaders Experience with healthcare ROI models Experience working in an organization that provides software as a service Experience using Microsoft Office, Google applications, Jira, Confluence, project management tools Capabilities (skills or knowledge required for success): Excellent written and verbal communication skills Exceptional client relationship-building skills Strong critical thinking and analysis skills with a passion for solving problems that have not been solved before Strong project management skills Ability to communicate well with people at all levels Ability to work cross-functionally in a dynamic team environment Ability to manage influence through persuasion, negotiation, and consensus-building Ability to visit client sites within the New York area but concentrated on Long Island multiple times a week Ability to travel outside of the New York area occasionally At Conversa, we're hard at work developing, marketing, and implementing both our leading conversational care and communication technology as well as the processes and systems that support this future of care delivery and collaboration between providers and their patient users. To help get us there, we're cultivating a diverse and vibrant team that works together to change the way healthcare is delivered. As a rapidly growing company, we've embraced several core values that guide both our culture and team: We care about people - the patients our chats are designed to help, the care team members who use our solutions, our partners who help bring our products to market, and most of all, our team members with whom we work. We strive to be empathetic and trusting, to understand and create space for the sharing of feelings and perspectives from others. We are data-driven. We strive to make decisions based on the best available data. If data changes, we will be open to changing our perspective. We will always endeavor to collect and create the most rigorous data we can. We, similar to the best healthcare providers, are evidence-based. We are passionate about improving the health & care of every person we can, and we are passionate about building a sustainable company that can impact the lives of as many people as possible. We are passionate about doing it with team members who share the same passion. We strive to be proactive. Just like we are trying to move healthcare from being reactive to proactive, we value pushing things forward - solutions, ideas, the business, ourselves. We are problem solvers. To be great problem solvers, we need to identify which are the important problems to solve and be creative, collaborative, and relentless until they are solved. Bundled with our strong culture, we offer all Conversans competitive compensation, regardless of location, and a comprehensive benefits package including: 401k plan Medical, Dental, Vision benefits Monthly Grubhub Stipend Flexible PTO Paid parental leave Fully Embrace Remote Teamwork Career Development MacBook Pro and hardware stipend to get you started And more Whether it's scaling our platform to handle millions of automated chats a day or designing a beautiful, frictionless, and delightful experience for patient users and their care team; Conversa has many unique and creative opportunities to impact the future of automated virtual care. Apply Today!
Job DescriptionJob Description About Avancer Consulting Avancer Consulting is a boutique management consulting firm specializing in complex transformation, including regulatory, merger, and modernization programs in which execution and delivery are paramount. The firm's name derives from the French avancer, to advance, reflecting its purpose: to move client organizations toward their next strategic objectives. Avancer serves clients across financial services, insurance, and healthcare, embedding senior practitioners directly within client teams to plan and deliver programs of significant scale and complexity. The firm's capabilities span program and project management, change management, mergers and acquisitions (M&A) integration, regulatory compliance and risk, and vendor management, with disciplined attention to cost efficiency throughout. Avancer also establishes and operates program management offices, undertakes project-based engagements, and provides fractional executive leadership drawn from genuine senior experience. Avancer is distinguished by the seniority of its people. Its consultants are experienced, hands-on practitioners who have led complex, multi-workstream, multi-vendor programs from initiation through completion. Clients engage seasoned operators who bring structure to ambiguity and deliver measurable results, without the layered overhead of larger consulting firms. Further information is available at . Position Summary Avancer Consulting is seeking a Senior IT / Technical Program Manager to lead technology modernization programs in regulated healthcare, insurance, and other industries. This is a hands-on technical delivery role, not a coordination role. We are looking for someone who has personally owned system cutovers, data migrations, and integrations across the full technology stack, and who has the technical depth to lead engineering, architecture, and vendor teams. The right person has taken enterprise systems from planning through go-live and stabilization, knows what a successful cutover requires, and applies practical, governed judgment on where emerging technologies including AI fit and where they do not. Key Responsibilities Technical Delivery (primary focus) • Own end-to-end delivery of modernization programs: planning, build, integration, testing, cutover, go-live, and stabilization. • Plan and run system cutovers, including go/no-go criteria, sequencing, dress rehearsals, rollback plans, reconciliation, and business sign-off. • Lead data migration and integration work, including source-to-target mapping, ETL, data quality, and data governance. • Command of the software testing lifecycle sufficient to own test strategy and quality gates, unit, integration, functional, end-to-end, regression, smoke, performance, and acceptance, including planning coverage, sequencing test phases, and defining exit criteria in partnership with QA and engineering. User acceptance testing alone is not sufficient. • Manage integrations across SaaS and commercial off-the-shelf (COTS) products, and across on-premises and cloud environments. Program Management • Manage scope, schedule, budget, dependencies, and RAID across multi-vendor, multi-workstream programs. • Work directly with front-end, back-end, data, infrastructure, and security teams, and with third-party vendors. • Run program cadences and executive reporting; manage vendors against scope, deliverables, service levels, and budget. Modernization & AI Judgment • Advise on legacy modernization approaches, including on-premises to cloud migration and platform consolidation. • Apply practical, governed judgment on where AI fits in a modernization program and where it introduces risk, in line with client and regulatory policy and deferring to the business and IT teams on adoption decisions. Qualifications Required • 10+ years managing complex IT or technology programs, including personal ownership of at least one full system cutover or go-live from planning through stabilization. • Demonstrated hands-on experience with data migration and integration: source-to-target mapping, ETL, and data governance. • Working knowledge of the full technology stack (front-end, back-end, data, infrastructure) sufficient to lead technical teams credibly, not manage around them. • Experience integrating SaaS and COTS products, and delivering across both on-premises and cloud environments. • Experience with software testing lifecycle sufficient to own test strategy and quality gates, unit, integration, functional, end-to-end, regression, smoke, performance, and acceptance, including planning coverage, sequencing test phases, and defining exit criteria in partnership with QA and engineering. User acceptance testing alone is not sufficient. • Experience in healthcare, insurance, or another regulated environment. • Bachelor's degree or equivalent additional experience. Preferred • Direct experience with exchange and marketplace programs. • PMP, Certified ScrumMaster (CSM), or Professional Scrum Master (PSM). • Practical experience applying or governing AI and GenAI tools in a regulated environment, in line with client and regulatory policy. • Familiarity with legacy sytems and subsystems and their modernization. • Experience with Atlassian tools (Jira and Confluence) and enterprise scheduling or reporting platforms (MS Project or Monday or Planview). Success Profile The successful candidate has personally led complex system cutovers and data migrations, understands the engineering and data work well enough to lead those teams directly, applies sound judgment on modernization and AI, and delivers in a regulated, high-visibility environment. Engagement & Location Contract, 1099 or corp-to-corp. On-site in the Sacramento, CA area, consistent with client business hours; relocation-willing candidates welcome. Some hybrid flexibility by assignment.
09/22/2026
Full time
Job DescriptionJob Description About Avancer Consulting Avancer Consulting is a boutique management consulting firm specializing in complex transformation, including regulatory, merger, and modernization programs in which execution and delivery are paramount. The firm's name derives from the French avancer, to advance, reflecting its purpose: to move client organizations toward their next strategic objectives. Avancer serves clients across financial services, insurance, and healthcare, embedding senior practitioners directly within client teams to plan and deliver programs of significant scale and complexity. The firm's capabilities span program and project management, change management, mergers and acquisitions (M&A) integration, regulatory compliance and risk, and vendor management, with disciplined attention to cost efficiency throughout. Avancer also establishes and operates program management offices, undertakes project-based engagements, and provides fractional executive leadership drawn from genuine senior experience. Avancer is distinguished by the seniority of its people. Its consultants are experienced, hands-on practitioners who have led complex, multi-workstream, multi-vendor programs from initiation through completion. Clients engage seasoned operators who bring structure to ambiguity and deliver measurable results, without the layered overhead of larger consulting firms. Further information is available at . Position Summary Avancer Consulting is seeking a Senior IT / Technical Program Manager to lead technology modernization programs in regulated healthcare, insurance, and other industries. This is a hands-on technical delivery role, not a coordination role. We are looking for someone who has personally owned system cutovers, data migrations, and integrations across the full technology stack, and who has the technical depth to lead engineering, architecture, and vendor teams. The right person has taken enterprise systems from planning through go-live and stabilization, knows what a successful cutover requires, and applies practical, governed judgment on where emerging technologies including AI fit and where they do not. Key Responsibilities Technical Delivery (primary focus) • Own end-to-end delivery of modernization programs: planning, build, integration, testing, cutover, go-live, and stabilization. • Plan and run system cutovers, including go/no-go criteria, sequencing, dress rehearsals, rollback plans, reconciliation, and business sign-off. • Lead data migration and integration work, including source-to-target mapping, ETL, data quality, and data governance. • Command of the software testing lifecycle sufficient to own test strategy and quality gates, unit, integration, functional, end-to-end, regression, smoke, performance, and acceptance, including planning coverage, sequencing test phases, and defining exit criteria in partnership with QA and engineering. User acceptance testing alone is not sufficient. • Manage integrations across SaaS and commercial off-the-shelf (COTS) products, and across on-premises and cloud environments. Program Management • Manage scope, schedule, budget, dependencies, and RAID across multi-vendor, multi-workstream programs. • Work directly with front-end, back-end, data, infrastructure, and security teams, and with third-party vendors. • Run program cadences and executive reporting; manage vendors against scope, deliverables, service levels, and budget. Modernization & AI Judgment • Advise on legacy modernization approaches, including on-premises to cloud migration and platform consolidation. • Apply practical, governed judgment on where AI fits in a modernization program and where it introduces risk, in line with client and regulatory policy and deferring to the business and IT teams on adoption decisions. Qualifications Required • 10+ years managing complex IT or technology programs, including personal ownership of at least one full system cutover or go-live from planning through stabilization. • Demonstrated hands-on experience with data migration and integration: source-to-target mapping, ETL, and data governance. • Working knowledge of the full technology stack (front-end, back-end, data, infrastructure) sufficient to lead technical teams credibly, not manage around them. • Experience integrating SaaS and COTS products, and delivering across both on-premises and cloud environments. • Experience with software testing lifecycle sufficient to own test strategy and quality gates, unit, integration, functional, end-to-end, regression, smoke, performance, and acceptance, including planning coverage, sequencing test phases, and defining exit criteria in partnership with QA and engineering. User acceptance testing alone is not sufficient. • Experience in healthcare, insurance, or another regulated environment. • Bachelor's degree or equivalent additional experience. Preferred • Direct experience with exchange and marketplace programs. • PMP, Certified ScrumMaster (CSM), or Professional Scrum Master (PSM). • Practical experience applying or governing AI and GenAI tools in a regulated environment, in line with client and regulatory policy. • Familiarity with legacy sytems and subsystems and their modernization. • Experience with Atlassian tools (Jira and Confluence) and enterprise scheduling or reporting platforms (MS Project or Monday or Planview). Success Profile The successful candidate has personally led complex system cutovers and data migrations, understands the engineering and data work well enough to lead those teams directly, applies sound judgment on modernization and AI, and delivers in a regulated, high-visibility environment. Engagement & Location Contract, 1099 or corp-to-corp. On-site in the Sacramento, CA area, consistent with client business hours; relocation-willing candidates welcome. Some hybrid flexibility by assignment.
Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. We are seeking an experienced Senior DevOps Engineer to join our team supporting the Centers for Medicare and Medicaid Services (CMS). In this role, you will be responsible for integrating security best practices and automation into our CI/CD pipelines and cloud infrastructure. You will work within a large-scale AWS environment that supports Big Data processing, web applications, and various reporting tools, ensuring the security and compliance of critical healthcare systems. Responsibilities: Design, build, and maintain secure CI/CD pipelines using GitHub Actions to deliver applications and infrastructure. Embed security controls, tools (SAST, DAST, SCA), and processes throughout the software development lifecycle. Manage and secure cloud infrastructure using Infrastructure as Code (IaC) with Terraform and Terragrunt. Implement and manage security for containerized applications using Docker. Collaborate with development teams (Java, Python, Django) to identify and remediate security vulnerabilities in code and dependencies. Automate security monitoring, logging, and incident response procedures within the AWS cloud environment. Ensure systems and applications meet federal compliance standards (e.g., FISMA, NIST) and CMS-specific security requirements. Support the security of data platforms and services, including Databricks and Redshift. Work with cross-functional teams to foster a culture of security awareness and best practices. Requirements All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's degree in Computer Science, Engineering, or a related technical field; OR In lieu of a degree, 10 additional years of relevant professional experience AND 8 years of specialized experience may be substituted. 8+ years of DevOps Engineer experience. Proven experience in a DevSecOps, DevOps, or Security Engineering role. Strong hands-on experience with AWS services and cloud security principles. Proficiency with Infrastructure as Code (IaC) tools, specifically Terraform and Terragrunt. Demonstrated experience building and managing CI/CD pipelines, preferably with GitHub Actions. Solid understanding of containerization technologies, including Docker security. Proficiency in at least one scripting language, such as Python or Bash. Desired Qualifications: Prior experience supporting CMS or other federal government agencies. Familiarity with federal compliance frameworks like FISMA and NIST. Experience with build tools such as Maven. Knowledge of data platforms and warehousing solutions like Databricks and Redshift. Experience securing web applications built with frameworks like Django. Familiarity with tools in our stack, including Chompy. Relevant industry certifications (e.g., AWS Certified Security - Specialty, CISSP, GSEC) Experience Administering/Sizing Clusters, such as Redshift/DataBricks/Hadoop. Experience configuring and maintaining DevSecOps tools, infrastructure automation, and security scanning solutions (e.g., Nessus, BurpSuite, OWASP, etc.). Expertise in security best practices with an emphasis on AWS: IAM policies/Roles, security groups and network security. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.
09/22/2026
Full time
Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. We are seeking an experienced Senior DevOps Engineer to join our team supporting the Centers for Medicare and Medicaid Services (CMS). In this role, you will be responsible for integrating security best practices and automation into our CI/CD pipelines and cloud infrastructure. You will work within a large-scale AWS environment that supports Big Data processing, web applications, and various reporting tools, ensuring the security and compliance of critical healthcare systems. Responsibilities: Design, build, and maintain secure CI/CD pipelines using GitHub Actions to deliver applications and infrastructure. Embed security controls, tools (SAST, DAST, SCA), and processes throughout the software development lifecycle. Manage and secure cloud infrastructure using Infrastructure as Code (IaC) with Terraform and Terragrunt. Implement and manage security for containerized applications using Docker. Collaborate with development teams (Java, Python, Django) to identify and remediate security vulnerabilities in code and dependencies. Automate security monitoring, logging, and incident response procedures within the AWS cloud environment. Ensure systems and applications meet federal compliance standards (e.g., FISMA, NIST) and CMS-specific security requirements. Support the security of data platforms and services, including Databricks and Redshift. Work with cross-functional teams to foster a culture of security awareness and best practices. Requirements All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's degree in Computer Science, Engineering, or a related technical field; OR In lieu of a degree, 10 additional years of relevant professional experience AND 8 years of specialized experience may be substituted. 8+ years of DevOps Engineer experience. Proven experience in a DevSecOps, DevOps, or Security Engineering role. Strong hands-on experience with AWS services and cloud security principles. Proficiency with Infrastructure as Code (IaC) tools, specifically Terraform and Terragrunt. Demonstrated experience building and managing CI/CD pipelines, preferably with GitHub Actions. Solid understanding of containerization technologies, including Docker security. Proficiency in at least one scripting language, such as Python or Bash. Desired Qualifications: Prior experience supporting CMS or other federal government agencies. Familiarity with federal compliance frameworks like FISMA and NIST. Experience with build tools such as Maven. Knowledge of data platforms and warehousing solutions like Databricks and Redshift. Experience securing web applications built with frameworks like Django. Familiarity with tools in our stack, including Chompy. Relevant industry certifications (e.g., AWS Certified Security - Specialty, CISSP, GSEC) Experience Administering/Sizing Clusters, such as Redshift/DataBricks/Hadoop. Experience configuring and maintaining DevSecOps tools, infrastructure automation, and security scanning solutions (e.g., Nessus, BurpSuite, OWASP, etc.). Expertise in security best practices with an emphasis on AWS: IAM policies/Roles, security groups and network security. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.
Responsibilites: Lead engineering and operational management for highly available, large-scale Oracle database fleets. Drive Oracle 19c performance analysis, complex tuning, diagnostics, and reliability improvements. Design and implement database architecture, access methods, allocation strategies, validation controls, protection, and security standards. Build scalable fleet-management automation and tooling using Python and/or Shell scripting. Lead technical analysis for database upgrades, patches, enhancements, and architectural changes. Define long-range database capacity, availability, and operational requirements with OCI service owners. Lead incident response, root-cause analysis, and prevention initiatives for complex production issues. Mentor engineers, review designs and code, and establish operational best practices and runbooks. Collaborate with Compute, Storage, Networking, Governance, and other OCI teams to deliver resilient cloud services. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 6-8 years of Oracle Database Engineering, Administration, SRE experience. Deep expertise with Oracle 19c, including RAC, Data Guard, RMAN, ASM, SQL optimization, performance diagnostics, and HA/DR design. Strong Python and/or Shell scripting experience for automation, diagnostics, monitoring, and operational tooling. Demonstrated experience leading complex database changes, upgrades, and reliability initiatives. Strong understanding of database security, observability, capacity planning, and cloud-scale operations. Proven technical leadership, mentoring, and cross-functional collaboration skills. Excellent written and spoken English, critical thinking, and ability to operate effectively in a demanding environment. Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads. Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience. Responsibilities Key Responsibilities Platform Software Development: Lead cross-team evolution of middleware patterns or runtimes to standardize interoperability at scale. Define and enforce versioning, deprecation, and rollout strategies that minimize downstream breaks. Drive shared observability baselines (SLOs, error budgets) and resilience patterns across several services. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and identifies requirements to achieve business and operational goals, sharing results with manager upon completion. Adheres to and improves execution of all phases of the software development lifecycle; provides guidance and coaching to engineers to drive improvements. Utilizes advanced knowledge to develop and guide new software features and enhancements leading design specifications, ensuring accessibility, and develops documents to clarify software design and code. Leads code reviews in multiple areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix complex software issues. Develops fixes for identified issues. Implements comprehensive software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, sharing work with manager and/or lead upon completion. Conducts performance profiling and optimization of coding, building scalable solutions, and anticipating and resolving potential outcomes. Troubleshoots and resolves complex issues related to application programming interface (API) functionality and integration. Implements complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Implements and contributes to developing software, systems, and services, ensuring review by manager and/or senior technical leaders upon completion. Recommends project or design scope. Provides technical guidance and coaching to less experienced developers in existing software architecture. Contributes to periodic reviews and ensures adherence to architectural standards. Collaborates with stakeholders and networks externally to ensure work aligns with software architecture. Implements complex performance optimization and scalability strategies in software design. Occasionally conducts technology research and evaluation for potential architectural changes that may have an impact on results for the team. Issue/Defect Collaboration - Software Products Support: Collaborates with stakeholders to understand customer issues and align solutions. May provide advanced technical guidance and support to customers regarding customer-reported issues. Advocates for customers' interests and suggests product enhancements based on feedback. Provides input to ensure customer satisfaction through timely resolution of issues and effective communication. Identifies and implements customer issue and/or defect handling and training processes. Investigates and troubleshoots complex and broad-reaching/scoped maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team and externally to follow development practices and coding standards, providing coaching to less experienced team members. Participates in peer review processes, provides technical leadership, and ensures code quality and adherence to broad acceptance criteria during development, independently. Demonstrates and shares advanced knowledge of industry best practices and applies them to software development processes. Implements complex secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities), sharing results with manager upon completion. Drives improvements, ensures automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Core Responsibilities Planning & Execution: Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines. Collaboration & Partnership: Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies. Continuous Learning: Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams. Continuous Improvement: Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement. Performance and Development: Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience . click apply for full job details
09/22/2026
Full time
Responsibilites: Lead engineering and operational management for highly available, large-scale Oracle database fleets. Drive Oracle 19c performance analysis, complex tuning, diagnostics, and reliability improvements. Design and implement database architecture, access methods, allocation strategies, validation controls, protection, and security standards. Build scalable fleet-management automation and tooling using Python and/or Shell scripting. Lead technical analysis for database upgrades, patches, enhancements, and architectural changes. Define long-range database capacity, availability, and operational requirements with OCI service owners. Lead incident response, root-cause analysis, and prevention initiatives for complex production issues. Mentor engineers, review designs and code, and establish operational best practices and runbooks. Collaborate with Compute, Storage, Networking, Governance, and other OCI teams to deliver resilient cloud services. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 6-8 years of Oracle Database Engineering, Administration, SRE experience. Deep expertise with Oracle 19c, including RAC, Data Guard, RMAN, ASM, SQL optimization, performance diagnostics, and HA/DR design. Strong Python and/or Shell scripting experience for automation, diagnostics, monitoring, and operational tooling. Demonstrated experience leading complex database changes, upgrades, and reliability initiatives. Strong understanding of database security, observability, capacity planning, and cloud-scale operations. Proven technical leadership, mentoring, and cross-functional collaboration skills. Excellent written and spoken English, critical thinking, and ability to operate effectively in a demanding environment. Leads platform projects crossing multiple teams, evolving runtimes or middleware patterns for interoperability and multi-tenant scale. Diagnoses and resolves complex cross-service issues; enforces versioning, compatibility, and safe rollout practices. Drives observability standards, capacity planning, and resilience patterns across several workloads. Produces migration guides and adoption playbooks that raise ecosystem consistency and developer experience. Responsibilities Key Responsibilities Platform Software Development: Lead cross-team evolution of middleware patterns or runtimes to standardize interoperability at scale. Define and enforce versioning, deprecation, and rollout strategies that minimize downstream breaks. Drive shared observability baselines (SLOs, error budgets) and resilience patterns across several services. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and identifies requirements to achieve business and operational goals, sharing results with manager upon completion. Adheres to and improves execution of all phases of the software development lifecycle; provides guidance and coaching to engineers to drive improvements. Utilizes advanced knowledge to develop and guide new software features and enhancements leading design specifications, ensuring accessibility, and develops documents to clarify software design and code. Leads code reviews in multiple areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix complex software issues. Develops fixes for identified issues. Implements comprehensive software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, sharing work with manager and/or lead upon completion. Conducts performance profiling and optimization of coding, building scalable solutions, and anticipating and resolving potential outcomes. Troubleshoots and resolves complex issues related to application programming interface (API) functionality and integration. Implements complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Implements and contributes to developing software, systems, and services, ensuring review by manager and/or senior technical leaders upon completion. Recommends project or design scope. Provides technical guidance and coaching to less experienced developers in existing software architecture. Contributes to periodic reviews and ensures adherence to architectural standards. Collaborates with stakeholders and networks externally to ensure work aligns with software architecture. Implements complex performance optimization and scalability strategies in software design. Occasionally conducts technology research and evaluation for potential architectural changes that may have an impact on results for the team. Issue/Defect Collaboration - Software Products Support: Collaborates with stakeholders to understand customer issues and align solutions. May provide advanced technical guidance and support to customers regarding customer-reported issues. Advocates for customers' interests and suggests product enhancements based on feedback. Provides input to ensure customer satisfaction through timely resolution of issues and effective communication. Identifies and implements customer issue and/or defect handling and training processes. Investigates and troubleshoots complex and broad-reaching/scoped maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team and externally to follow development practices and coding standards, providing coaching to less experienced team members. Participates in peer review processes, provides technical leadership, and ensures code quality and adherence to broad acceptance criteria during development, independently. Demonstrates and shares advanced knowledge of industry best practices and applies them to software development processes. Implements complex secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities), sharing results with manager upon completion. Drives improvements, ensures automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Core Responsibilities Planning & Execution: Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines. Collaboration & Partnership: Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies. Continuous Learning: Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams. Continuous Improvement: Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement. Performance and Development: Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience . click apply for full job details
Sr. Network Developer, Topology Scaling Location: Nashville, or one of our 5 data center build locations The Infrastructure Scaling team is responsible for deploying new capacity, scaling existing capacity, new / migrate to latest designs, establishing network connectivity for new (Oracle Cloud Infrastructure) OCI regions, and enabling compute connectivity for OCI availability domains. This includes building and managing data center fabrics, edge networks, backbone, fiber metro networks, and supporting multi-cloud initiatives. This role requires approximately 10% travel to OCI data centers and major AI deployment locations to support network builds, commissioning, troubleshooting, and critical infrastructure milestones. This role involves designing, deploying, and operating large-scale global cloud networks. It requires a deep understanding of network protocols and programming skills to support automation at scale. As OCI's cloud network spans a global footprint, this role supports a vast infrastructure of network devices and millions of connected servers across dedicated backbone and internet-based connectivity. Participate in network lifecycle management through build and upgrade projects. Collaborate with program and project managers to define milestones and deliverables. Execute network changes using existing procedures and tools, and develop new procedures as needed. Serve as a technical lead on team projects, contributing to roadmap development, creating new/update runbooks and methods of procedure, and mentoring junior engineers. Responsibilities include participating in solution and architecture design, developing standalone features, supporting operational rotations, providing break-fix support, serving as an escalation point, and leading post-event root cause analysis. Additional duties include coordinating with automation services to develop and integrate tooling, scripting to automate routine tasks, and acting as an SME for network automation projects. The role also involves collaborating with vendors to resolve software bugs, qualifying new firmware/operating systems, and driving product roadmap influence. Preferred Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. Experience working in hyperscale cloud, ISP, or large enterprise networking environments. Strong understanding of modern data center networking architectures. Experience with routing and switching protocols including BGP, OSPF, IS-IS, MPLS, IPv4, IPv6, TCP/IP, DNS, and DHCP. Hands-on experience with commodity Ethernet platforms, including Broadcom and NVIDIA/Mellanox-based hardware. Experience with Internet peering, backbone networking, and large-scale network operations. Proficiency with Python or another programming language used for network automation. Experience with network automation frameworks and APIs. Familiarity with YANG, OpenConfig, NETCONF, gNMI, and model-driven networking. Experience with telemetry, observability, network monitoring, and performance analysis. Knowledge of network security principles and high-availability architectures. Excellent troubleshooting, communication, collaboration, and organizational skills. Experience using AI-assisted engineering tools (such as Oracle AI, GitHub Copilot, ChatGPT Enterprise, or similar) to improve software development, automation, documentation, and operational efficiency. Responsibilities Key Responsibilities Network Design, Development, and Validation: -Designs and develops advanced network fabric and systems to support large-scale enterprise, data center, or cloud-based networking environments. -Validates production networks and develops scaling strategies for varied use cases. -Participates in the network solution and architecture design/validation process, providing expertise and guidance. -Identifies and assesses complex risks in network design before deployment, recommending mitigations. -Collaborates with vendors and internal groups (e.g., quality assurance) to ensure hardware, firmware, software, and cloud network code. -Designs playbooks for investigations to resolve common issues related to network areas. -Analyzes network workflows and proposes optimizations to enhance performance and efficiency. Automation and Scripting: -Designs and builds moderately complex modules within moderately complex automation frameworks for testing and operations to enhance efficiency. -Automates critical network tasks, including production and lab environments and optimizes repetitive support functions to improve processes. -Builds and customizes moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor network health. -Writes and enhances advanced scripts to automate routine tasks across teams and business units. -Uses and adjusts infrastructure pipelines, configuration items, using established playbooks and resources. -Independently configures tools to meet requirements of new products or services. Testing and Quality Assurance: -Develops standalone, moderately complex test cases and test strategies to ensure and enhance network integrity. -Serves as technical lead for test practices and strategies, providing guidance to the team and collaborating with other internal stakeholders in the development of robust testing protocols. -Implements new approaches to improve break-fix validation and post-event root cause analysis (RCA), ensuring issues are resolved and lessons are integrated within the team. -Conducts L1 network change reviews and creates and presents network changes to change management review boards. -Collaborates with stakeholders to validate systems and environments through pre-production testing, ensuring compliance with internal standards prior to deployment. -Provides audit documentation and evidence as part of Governance, Risk, and Compliance (GRC) to ensure alignment with governance and security requirements. Monitoring and Reliability: -Works with others (e.g. monitoring teams) to maintain advanced dashboards, telemetry systems, and alerting mechanisms to monitor network health, including defining metrics, trends, and thresholds to ensure service level objectives (SLOs). -Uses tools from the monitoring team to monitor alerting systems and provides feedback to enhance the detection and diagnosis of network anomalies. -Participates in operational support rotations, providing guidance in incident response and root cause investigations, and collaborating with stakeholders across team to resolve escalated issues. -Develops and enhances tools and solutions for frontline support teams to drive efficiencies in responding to network failure conditions. Cross-Team Collaboration and Leadership: -Works alongside project program managers and uses templated project plan to ensure achievement of critical test and deployment milestones and project alignment. -Mentors junior engineers and provides subject matter expert (SME) guidance on technical issues. -Engages with customers to clarify technical issues, and contributes to the delivery of root cause analysis (RCA) documentation. -Contributes to roadmap and software architecture discussions, ensuring ideas are shared within team and implemented where necessary. -Collaborates with vendors and internal teams to ensure adherence to networking standards, identifying areas of misalignment and identifying resolutions. Performance and Capacity Management: -Analyzes network performance and service metrics (e.g., latency, throughput, packet loss) to identify network efficiency issues and takes next steps to scale network. -Uses capacity information through security and performance metrics to ensure the infrastructure can support anticipated growth. Core Responsibilities Planning & Execution: -Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: -Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: -Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: -Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools, and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: -Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Qualifications Disclaimer: Certain U.S. based or U.S . click apply for full job details
09/22/2026
Full time
Sr. Network Developer, Topology Scaling Location: Nashville, or one of our 5 data center build locations The Infrastructure Scaling team is responsible for deploying new capacity, scaling existing capacity, new / migrate to latest designs, establishing network connectivity for new (Oracle Cloud Infrastructure) OCI regions, and enabling compute connectivity for OCI availability domains. This includes building and managing data center fabrics, edge networks, backbone, fiber metro networks, and supporting multi-cloud initiatives. This role requires approximately 10% travel to OCI data centers and major AI deployment locations to support network builds, commissioning, troubleshooting, and critical infrastructure milestones. This role involves designing, deploying, and operating large-scale global cloud networks. It requires a deep understanding of network protocols and programming skills to support automation at scale. As OCI's cloud network spans a global footprint, this role supports a vast infrastructure of network devices and millions of connected servers across dedicated backbone and internet-based connectivity. Participate in network lifecycle management through build and upgrade projects. Collaborate with program and project managers to define milestones and deliverables. Execute network changes using existing procedures and tools, and develop new procedures as needed. Serve as a technical lead on team projects, contributing to roadmap development, creating new/update runbooks and methods of procedure, and mentoring junior engineers. Responsibilities include participating in solution and architecture design, developing standalone features, supporting operational rotations, providing break-fix support, serving as an escalation point, and leading post-event root cause analysis. Additional duties include coordinating with automation services to develop and integrate tooling, scripting to automate routine tasks, and acting as an SME for network automation projects. The role also involves collaborating with vendors to resolve software bugs, qualifying new firmware/operating systems, and driving product roadmap influence. Preferred Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. Experience working in hyperscale cloud, ISP, or large enterprise networking environments. Strong understanding of modern data center networking architectures. Experience with routing and switching protocols including BGP, OSPF, IS-IS, MPLS, IPv4, IPv6, TCP/IP, DNS, and DHCP. Hands-on experience with commodity Ethernet platforms, including Broadcom and NVIDIA/Mellanox-based hardware. Experience with Internet peering, backbone networking, and large-scale network operations. Proficiency with Python or another programming language used for network automation. Experience with network automation frameworks and APIs. Familiarity with YANG, OpenConfig, NETCONF, gNMI, and model-driven networking. Experience with telemetry, observability, network monitoring, and performance analysis. Knowledge of network security principles and high-availability architectures. Excellent troubleshooting, communication, collaboration, and organizational skills. Experience using AI-assisted engineering tools (such as Oracle AI, GitHub Copilot, ChatGPT Enterprise, or similar) to improve software development, automation, documentation, and operational efficiency. Responsibilities Key Responsibilities Network Design, Development, and Validation: -Designs and develops advanced network fabric and systems to support large-scale enterprise, data center, or cloud-based networking environments. -Validates production networks and develops scaling strategies for varied use cases. -Participates in the network solution and architecture design/validation process, providing expertise and guidance. -Identifies and assesses complex risks in network design before deployment, recommending mitigations. -Collaborates with vendors and internal groups (e.g., quality assurance) to ensure hardware, firmware, software, and cloud network code. -Designs playbooks for investigations to resolve common issues related to network areas. -Analyzes network workflows and proposes optimizations to enhance performance and efficiency. Automation and Scripting: -Designs and builds moderately complex modules within moderately complex automation frameworks for testing and operations to enhance efficiency. -Automates critical network tasks, including production and lab environments and optimizes repetitive support functions to improve processes. -Builds and customizes moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor network health. -Writes and enhances advanced scripts to automate routine tasks across teams and business units. -Uses and adjusts infrastructure pipelines, configuration items, using established playbooks and resources. -Independently configures tools to meet requirements of new products or services. Testing and Quality Assurance: -Develops standalone, moderately complex test cases and test strategies to ensure and enhance network integrity. -Serves as technical lead for test practices and strategies, providing guidance to the team and collaborating with other internal stakeholders in the development of robust testing protocols. -Implements new approaches to improve break-fix validation and post-event root cause analysis (RCA), ensuring issues are resolved and lessons are integrated within the team. -Conducts L1 network change reviews and creates and presents network changes to change management review boards. -Collaborates with stakeholders to validate systems and environments through pre-production testing, ensuring compliance with internal standards prior to deployment. -Provides audit documentation and evidence as part of Governance, Risk, and Compliance (GRC) to ensure alignment with governance and security requirements. Monitoring and Reliability: -Works with others (e.g. monitoring teams) to maintain advanced dashboards, telemetry systems, and alerting mechanisms to monitor network health, including defining metrics, trends, and thresholds to ensure service level objectives (SLOs). -Uses tools from the monitoring team to monitor alerting systems and provides feedback to enhance the detection and diagnosis of network anomalies. -Participates in operational support rotations, providing guidance in incident response and root cause investigations, and collaborating with stakeholders across team to resolve escalated issues. -Develops and enhances tools and solutions for frontline support teams to drive efficiencies in responding to network failure conditions. Cross-Team Collaboration and Leadership: -Works alongside project program managers and uses templated project plan to ensure achievement of critical test and deployment milestones and project alignment. -Mentors junior engineers and provides subject matter expert (SME) guidance on technical issues. -Engages with customers to clarify technical issues, and contributes to the delivery of root cause analysis (RCA) documentation. -Contributes to roadmap and software architecture discussions, ensuring ideas are shared within team and implemented where necessary. -Collaborates with vendors and internal teams to ensure adherence to networking standards, identifying areas of misalignment and identifying resolutions. Performance and Capacity Management: -Analyzes network performance and service metrics (e.g., latency, throughput, packet loss) to identify network efficiency issues and takes next steps to scale network. -Uses capacity information through security and performance metrics to ensure the infrastructure can support anticipated growth. Core Responsibilities Planning & Execution: -Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: -Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: -Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: -Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools, and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: -Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Qualifications Disclaimer: Certain U.S. based or U.S . click apply for full job details
Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.
09/22/2026
Full time
Energy is the binding constraint on human progress. Solar and storage are the lowest cost sources of new generation, but the conventional project delivery model has not changed in 30 years and deployment cannot keep pace with demand. Planted is turning power plants from projects into products. Our software turns raw land into a build-ready power plant in minutes instead of months. Our hardware delivers twice the energy on every acre. Our robots put steel in the ground so output scales with production lines instead of headcount. We're looking for a technical leader to build and scale the software organization at the center of that transition - from the autonomy stack running on our robots to the AI systems that will make deployment even faster. You will own the architecture, roadmap, and team driving Planted's next phase of growth. We don't wait for abundance. We build it. About The Role Software is both the brains of our machines and the connective tissue of Planted operations. You will lead and grow a software organization spanning three domains: autonomous robotic vehicle software, our suite of web-based power plant design, build, and operate tools, and an emerging portfolio of AI agents that automate engineering, estimation, and operations workflows. We are looking for a pragmatic technical leader with a track record of building high-performing, multi-disciplinary software teams. You must be deep enough technically to drive key architectural decisions across the vertically integrated platform, and strategic enough to drive and execute on the product roadmap. You have systems literacy (e.g., how data moves from a robot's camera into an ML pipeline) and prioritize delivery mechanics over heavy-handed project management. Our robots are building projects in the field today and our design software is in front of customers. Your mandate is to scale the product and the team to support our current 10x year over year growth in megawatts deployed. The Team: You will join a group at the intersection of deep tech and massive physical infrastructure. Our engineering core brings robotics and automation DNA from SpaceX and Tesla, working directly alongside veteran energy developers. We are led by repeat founders with a successful prior exit (Cogenra to SunPower). Planted is backed by leading investors in energy and Physical AI, including Breakthrough Energy Ventures, Khosla Ventures, and Piva Capital. The annual salary range for this full-time position is $275,000-$325,000 plus a meaningful equity stake and benefits. Pay within the range is based on candidate experience, job-specific skills, and education. The target experience for the position is 10-15+ years. We work together in person 5 days/week at our HQ in Oakland, CA. KEY RESPONSIBILITIES Organizational Leadership & Talent Development: Build, scale, and mentor a high-performing, multi-level software organization, including direct management of engineering managers, principal engineers, and system architects. Foster a culture of technical excellence, accountability, and continuous growth. Recruit and retain top-tier software talent across cloud, spatial/CAD, embedded, and robotics domains while allowing technical experts to own the architecture. Strategic Execution & Stakeholder Management : Own the software roadmap and drive the predictable, on-time delivery of complex, multi-system software projects across multiple products. Set clear expectations, communicate progress, and align software deliverables. Collaborate seamlessly with the Commercial team, Hardware Engineering, and Project Operations. Make the build-vs-buy, stack, and platform decisions that will hold up at 100x scale. Software Product Suite Ownership: Lead development across our core platforms: Power Planter (automated layout, engineering, and costing), Build View (autonomous fleet management, field deployment, and QA/QC), and Operate View (inspection, operations, and maintenance tools for large-scale solar plants). Autonomous Robotic Vehicle Platforms: Lead the engineering teams deploying the full software stack across our autonomous field machine fleet (fleet logic, behavior trees, and path planning, modern and classical controls, ROS2, etc.). Data Flywheel: We operate our field machines like modern manufacturing lines. You will own the telemetry and data infrastructure that monitors production with statistical process control and turns every installation into training data for better models and improved machine productivity. AI Systems: Build the team and roadmap for AI agents that automate design, estimation, project delivery, and operations workflows, grounded in the data our robots and projects generate. QUALIFICATIONS 10 to 15+ years of software engineering experience, including 5+ years leading engineering teams (senior ICs and managers) shipping production systems. Deep expertise in full stack software development involving hardware and software integration like robotics, IoT, or industrial automation. Track record shipping robotics, autonomous vehicles, or hardtech software into the field at scale-with a strong focus on fleet reliability, continuous testing, and real-time observability. Broad leadership capability across platform/full-stack teams, cloud infrastructure, data systems, or applied AI/ML groups outside your core specialty. Systems architecture judgment with strong understanding of how technologies work together (e.g., middleware, pub/sub architectures, web services, and ML pipelines). You do not need to write the C++ on the robot, but you must understand edge compute, latency, and hardware-in-the-loop testing. PREFERRED QUALIFICATIONS Field robotics : Experience in construction, agriculture, mining, defense, logistics, or autonomous vehicles operating off-pavement (e.g., Waymo, Cruise, Bedrock Automation). DevOps & Delivery: Strong understanding of modern software deployment and containerization (Docker). Experience with CI/CD, release pipelines, and edge deployment strategies, focusing on how code reliably gets to the machine. Agentic and AI-Augmented Software Engineering: Experience building, rebuilding, and managing AI-integrated software development platforms and teams. Robotics & Controls: Familiarity with the complexities of deploying field-robotics software (e.g., ROS2, vehicle navigation, and autonomy stacks). You understand the unique delivery challenges of robotics compared to traditional software. Perception & Sensing: Experience with LiDAR, stereoscopic/IR cameras, object detection, spatial mapping, and SLAM in dynamic outdoor environments. Strong understanding of middleware, pub/sub architectures alongside web services, backend technologies, and ML pipelines. Spatial / CAD Expertise: Deep understanding of software platforms working with geospatial data (GIS, CAD engines, 3D modeling, or automated parametric design). Industrial Operations: Exposure to automated manufacturing execution systems (MES) managing statistical process control, telemetry monitoring, or fleet analytics in hardtech, renewable energy environments, or advanced manufacturing. What We Offer 11 paid company holidays and flexible Paid Time Off (PTO) Company-paid in-office lunches Stock options Medical, vision, dental, and other benefits Pre-tax commuter benefits 401(k) A chance to have an empowered, meaningful, and early role in climate How This Is A Fit You want to solve challenging problems You are biased towards action and focus on the vital work that drives the most impact You prioritize the physical and psychological safety of yourself and those around you You are humble, embrace change, and deliver and receive candid feedback You are optimistic about the future and can make tough decisions to help get there You have high expectations and coach, develop, and make time to help others Planted is an equal opportunity employer committed to growing inclusively, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, medical condition, age, or veteran status. However you identify, or whatever background you bring with you, please apply. We look forward to hearing from you.
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues Scalability and Reliability: As part of our rapid growth, we're always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms: You've built syncing engines that process and move terabytes of data per day in a scalable way You've created event collection or data streaming services that power company critical systems You've owned systems that have undergone orders of magnitude of growth and helped them scale accordingly You have relevant skills and are a fast learner who is excited to take on the challenges we face Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Recruiter Screen 30m : Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit. System Design Screen 45m : Designing a data processing feature end-to-end. Hiring Manager Interview 30m : Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview 90m : Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
09/22/2026
Full time
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues Scalability and Reliability: As part of our rapid growth, we're always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms: You've built syncing engines that process and move terabytes of data per day in a scalable way You've created event collection or data streaming services that power company critical systems You've owned systems that have undergone orders of magnitude of growth and helped them scale accordingly You have relevant skills and are a fast learner who is excited to take on the challenges we face Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Recruiter Screen 30m : Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit. System Design Screen 45m : Designing a data processing feature end-to-end. Hiring Manager Interview 30m : Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview 90m : Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI. The impact you will have Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. Interact with turnkey customers and product managers to envision new features and identify areas for improvement. Shape how developers and data scientists build and interact with AI on Databricks. What we look for 5+ years of experience in backend or infrastructure engineering with a focus on building systems Strong programming skills in Python, Scala or Java Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service-oriented architecture, deployment pipelines, and system observability Strong product and ownership mindset - you care about building the right solution, not just any solution Strong understanding of dependency management technologies including virtual environments or containerization technologies. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $166,000-$220,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/22/2026
Full time
P-78 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI. The impact you will have Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. Interact with turnkey customers and product managers to envision new features and identify areas for improvement. Shape how developers and data scientists build and interact with AI on Databricks. What we look for 5+ years of experience in backend or infrastructure engineering with a focus on building systems Strong programming skills in Python, Scala or Java Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service-oriented architecture, deployment pipelines, and system observability Strong product and ownership mindset - you care about building the right solution, not just any solution Strong understanding of dependency management technologies including virtual environments or containerization technologies. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $166,000-$220,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry. In this role, you will work on the System Software Team. The System Software team owns the primary compute node of Waymo's on-vehicle compute platform - an integrated embedded system. You will write Linux Kernel drivers (including creating appropriate user-space APIs) to communicate with custom hardware (e.g. custom ASICs and FPGAs). If you enjoy building embedded systems using novel compute hardware and working with engineering teams that will be direct consumers of your work, you'll be a great fit for this role. In this hybrid role, you will report to the Technical Lead Manager. You will: Work on a small team of System Software and Linux Kernel Engineers to develop system software components from early prototyping to production launch of driverless vehicles Develop and test Linux Kernel device drivers and other components for high-performance embedded systems including custom ASICs and accelerators. Work with a variety of engineering teams and SoC partners to take on ambiguous problems. You have: BA/BS degree in Computer Science, or relevant technical field or equivalent practical experience Proficiency in C and C++ 5+ years of programming experience in an asynchronous environment with multiple processes, threads, timers, and interrupts Experience with Linux kernel and device driver development Working knowledge of hardware bring-up and debugging, including the ability to read schematics/datasheets and use common tools (oscilloscopes, multimeter, logic analyzers) We prefer: Experience with early-silicon development tools, e.g. emulators, simulators and FPGAs Experience with common hardware protocols/interfaces (PCIe, Ethernet, or I2C) Experience working with multiple types of industry partners (CM, ODM, OEM, or ISV) Working knowledge of complex hardware-accelerated compute pipelines (GPUs, ML accelerators, image/data processors) Experience with bootloaders or programming in a BIOS Experience with building and maintaining testing infrastructure for OS and other low level code. Experience with performing safe and robust software and firmware updates. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
09/22/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry. In this role, you will work on the System Software Team. The System Software team owns the primary compute node of Waymo's on-vehicle compute platform - an integrated embedded system. You will write Linux Kernel drivers (including creating appropriate user-space APIs) to communicate with custom hardware (e.g. custom ASICs and FPGAs). If you enjoy building embedded systems using novel compute hardware and working with engineering teams that will be direct consumers of your work, you'll be a great fit for this role. In this hybrid role, you will report to the Technical Lead Manager. You will: Work on a small team of System Software and Linux Kernel Engineers to develop system software components from early prototyping to production launch of driverless vehicles Develop and test Linux Kernel device drivers and other components for high-performance embedded systems including custom ASICs and accelerators. Work with a variety of engineering teams and SoC partners to take on ambiguous problems. You have: BA/BS degree in Computer Science, or relevant technical field or equivalent practical experience Proficiency in C and C++ 5+ years of programming experience in an asynchronous environment with multiple processes, threads, timers, and interrupts Experience with Linux kernel and device driver development Working knowledge of hardware bring-up and debugging, including the ability to read schematics/datasheets and use common tools (oscilloscopes, multimeter, logic analyzers) We prefer: Experience with early-silicon development tools, e.g. emulators, simulators and FPGAs Experience with common hardware protocols/interfaces (PCIe, Ethernet, or I2C) Experience working with multiple types of industry partners (CM, ODM, OEM, or ISV) Working knowledge of complex hardware-accelerated compute pipelines (GPUs, ML accelerators, image/data processors) Experience with bootloaders or programming in a BIOS Experience with building and maintaining testing infrastructure for OS and other low level code. Experience with performing safe and robust software and firmware updates. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000-$263,000 USD
AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/21/2026
Full time
AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/21/2026
Full time
AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/21/2026
Full time
AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
AI Engineer 4 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/21/2026
Full time
AI Engineer 4 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).