Validation Engineer Salary in Baltimore, MD

Title: DrafterLocation: Baltimore, MD Type: Contract to Hire 90% in the field and 10% in office in Baltimore or Forest Hill / possible remoteJOB SUMMARYThis is the first level of the non-Engineer degreed technical support role job classification. Design Technician applies developing technical expertise to solve simple problems, and management skills to provide oversight of work in a specific area of developing expertise, with close supervision. Incumbents are expected to develop skills in their field of study, and the ability to work with some degree of independence.PRIMARY DUTIES AND RESPONSIBILITIES• Responsibilities may include GPS survey, overhead/underground line locating, inspections, testing, and documentation of power distribution, gas distribution, ROW, compressors, and other related facilities• Complete design task for associated utility design projects. Tasks include but are not limited to drafting, engineering calculations, easement validation; design/construction cost estimating & permit package development.• Managing multiple projects in order to assure timely, successful completion for projects resulting in high levels of customer satisfaction and company/departmental goal achievements.• Ability to review Geographic Information Systems (GIS) for update or conflictREQUIRED QUALIFICATIONS• High School Diploma required. Technical certificate in drafting or other technical skill preferred.• 0-3 years of general construction or utility experience preferred.• Basic design skills, MicroStation knowledge preferred.• Must have own vehicle and ability to travel if required.

Center 2 (19050), United States of America, McLean, VirginiaLead Machine Learning Engineer, Finance TechAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The EDML (Enterprise. Data. Machine Learning.) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.As a member of EDML's Finance Tech Machine Learning team, you will support Capital One's finance and emerging business teams across the company. You will partner with internal customers to define and develop new features and capabilities utilizing Machine Learning and AI-enabled techniques to build solutions for financial transactions, reconciliations, data anomaly detection, automated regulatory solutions, forecasting cash flows, and more.We are seeking a passionate technologist who will not only help us build these systems from the ground up, but who can think creatively about the future, and help our team grow rapidly by interacting with stakeholders and creating business cases. We are seeking a leader who can influence at the executive level and coach junior engineers on the team. The Lead Engineer will be an individual technical contributor who has a solid AI/ML foundation, and will help our team accelerate our deliverables.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degreeAt least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)At least 4 years of experience programming with Python, Scala, or JavaAt least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications:Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field3+ years of experience building production-ready data pipelines that feed ML models3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow2+ years of experience developing performant, resilient, and maintainable code2+ years of experience with data gathering and preparation for ML models2+ years of people leader experience1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automationExperience with Generative AI models or toolsExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceML industry impact through conference presentations, papers, blog posts, open source contributions, or patentsAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Back End (Python, PySpark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.What You'll Do: In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Use programming languages like Python, Scala, or Java.Basic Qualifications: Bachelor's DegreeAt least 6 years of professional software engineering experience (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:Master's Degree7+ years of experience in at least one of the following: Python, Scala, Java, Go, or Node.js2+ years of experience with AWS, GCP, Azure, or another cloud service4+ years of experience in open source frameworks1+ years of people management experience2+ years of experience in Agile practices2+ years of experience with model development and deployment patternsAt this time, Capital One will not sponsor a new 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.New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software EngineerCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. This role will include accelerating and democratizing machine learning solutions in batch and real-time systems.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications:Bachelor's degreeAt least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications:1+ years of experience building, scaling, and optimizing ML systems1+ years of experience with data gathering and preparation for ML models2+ years of experience developing performant, resilient, and maintainable codeExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformMaster's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigmsContributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization for this position.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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, PySpark, SQL)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degreeAt least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)At least 3 years of experience designing and building data-intensive solutions using distributed computingAt least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)At least 1 year of experience productionizing, monitoring, and maintaining modelsPreferred Qualifications:1+ years of experience building, scaling, and optimizing ML systems1+ years of experience with data gathering and preparation for ML models2+ years of experience with building models2+ years of experience developing performant, resilient, and maintainable codeExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformMaster's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field3+ years of experience with distributed file systems or multi-node database paradigmsContributed to open source ML software3+ years of experience building production-ready data pipelines that feed ML modelsExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceAt this time, Capital One will not sponsor a new 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.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

We are seeking a Battery Engineer who will collaborate with the engineering team to design, develop, and qualify batteries according to customer specifications and documentation requirements in line with project timing and budgets. The process includes research and development into parts, materials, and assembly techniques. The engineer will work closely with the engineering team and technicians to execute and deliver existing and new products.Responsibilities:Lead all development phases including design, prototyping, validation, and pilot productionPrepare and present internal and customer facing preliminary and critical design reviewsPlan, develop, and execute Design of Experiment (DOE) for fabrication and testing of batteriesWork closely with engineering team to determine battery design and mechanical characteristicsDevelop processes/tooling for pilot scale manufacturingCoordinate and execute product development trialsSummarize and present respective results, with conclusions, and recommendationsDevelop assembly and process specifications, along with other engineering documentsPerform root cause analysisQualifications: BS in Chemistry, Chemical Engineering, or related Science or Engineering discipline, MS or PHD preferred5+ years' experience in R&D, or Product DevelopmentGood interpersonal and communication skillsAble to contribute to collaborative team environmentSelf-motivated and hands-on. Detail oriented and able to manage multiple tasksUnderstanding of contract data requirements listA plus: Defense or Aerospace industry experienceExperience with battery design, energy storage, power sources, or electrochemistry

West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Software Engineer, SalesforceDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Salesforce Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize coding languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript, SQL and Java, Salesforce development with Apex, Native, VisualForce, Lightning framework, SOQL, REST & SOAP APIs, and RESTful web services Basic Qualifications: Bachelor's DegreeAt least 4 years of experience in Software Engineering (Internship experience does not apply)At least 3 years of experience in Salesforce Software Engineering (HTML, CSS, JavaScript, SQL)Preferred Qualifications:Salesforce System Administrator Certification or Platform Developer 1 Certification1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service5+ years of experience with the salesforce development toolkit including Apex, Test classes, Triggers, Visualforce, HTML, CSS, JQuery, SOQL/SOSL, Force.com IDE and migration tool.2+ years of experience in Agile practices3+ years experience with Service Oriented Architecture3+ years of experience with the AppExchange tools.3+ years of experience supporting Salesforce.com configuration tasks such as field/page updates, workflows, validations, custom permissions, and approvals.3+ years of experience with enterprise integration tools and extract, transformation, and load (ETL) tools.3+ years of experience in real-time Salesforce Development Community (SFDC) data integration with Enterprise systems.3+ years of experience with SOAP/REST API development.2+ years of experience converting business requirements into solution designs1+ year of experience with Lightning.1+ years of experience leading or facilitating sessions to define and document business requirements.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

West Creek 1 (12071), United States of America, Richmond, VirginiaLead Software Engineer, SalesforceDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Salesforce Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.What You'll Do:Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systemsShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate codeCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize coding languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript, SQL and Java, Salesforce development with Apex, Native, VisualForce, Lightning framework, SOQL, REST & SOAP APIs, and RESTful web servicesBasic Qualifications: Bachelor's DegreeAt least 6 years of experience in Software engineering (Internship experience does not apply)At least 4 years of experience in Salesforce Software EngineeringAt least 1 year experience with a public cloud (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:Master's DegreeSalesforce System Administrator Certification or Platform Developer 1 Certification, Advance Admin Certification, Platform App Builder, or Platform Developer 2 Certification1+ years of people management experience5+ years of experience in at least one of the following: Salesforce development with Apex, Native, VisualForce, Lightning framework, SOQL1+ years of AWS experience3+In-depth knowledge of REST/SOAP APIs and experience building integrations3+ years experience with Service Oriented Architecture3+ years of experience with the AppExchange tools.3+ years of experience supporting Salesforce.com configuration tasks such as field/page updates, workflows, validations, custom permissions, and approvals.3+ years of experience with enterprise integration tools and extract, transformation, and load (ETL) tools.3+ years of experience in real-time Salesforce Development Community (SFDC) data integration with Enterprise systems.3+ years of experience with SOAP/REST API development.2+ years of experience converting business requirements into solution designs1+ year of experience with Lightning.1+ years of experience leading or facilitating sessions to define and document business requirements.2+ years of experience in Agile practicesAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Information Security Office (ISO) ConsultantAt Capital One, you will help consult on initiatives, programs, and projects to raise their game in Information Security. You are pragmatic and practical in your understanding of risk and security, but also willing to know when to pull in experts and escalate. You collaborate and innovate with other teams within Capital One to push the envelope. You are comfortable with Cloud Service technologies like Storage Services, Security & Access Control Management, Container Services, and API Implementation and Management. You are familiar with various Cloud computing models to include IaaS, PaaS, and SaaS along with their architectural differences. Security is essential to what we do here, from protecting our customers to our associates.Responsibilities:The Senior Manager, ISO Consultant will provide cyber security architecture advisory support needed to build the Technology & Business capabilities on a novel Modern platform, that will enable customer set-up, use, and management of a Capital One Credit Card, including Data Product. In this role, the responsibilities will include:Act as a central Information Security point of contact for the Commercial line of businessCoordinate and execute proactive Information Security consulting to the business and technology teams covering Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access ManagementServe as an expert in Capital One's Information Security capabilities, solutions, policies, procedures and standardsCollaborating with enterprise cyber teams and tech architects in defining and driving the cyber architecture strategy and guiding principles for the architecting and designing of the modern platforms.Support security architecture and implementation needs for technology modernization effortsOverseeing all cyber related dependencies across the multiple components being built for the modernization effort.Influence customers to leverage security capabilities and solutions to shift and integrate security to the left in the development processesEscalate and manage cyber security riskProvide ad hoc support on special Information Security hot topics for the businessProvide regular updates to executive leadership with your line of business on the overall Information Security health and risk environmentWork with line of business leadership to anticipate their objectives and needs to better serve the line of businessSupport the team on collectively mapping technologies to a standardized framework in order to identify and execute on best practices in risk reduction through the configuration of cybersecurity tools and platforms.Support the development, modification, and use of capability, risk, or threat classification frameworks and standardization methodologies to facilitate the conduct of correlative capability, maturity, and effectiveness evaluations.Support data validation and communications on the impact of identified operational, compliance, process, control, and tooling gaps and potential remediation courses of action to multiple audiences, including leadership, to support the enhancement of their cybersecurity postures.About You:You have a desire to work in a very fast moving, forward leaning, and modern computing environmentYou have a deep passion for Securing modern computing platformsYou have a strong desire to continually learn about new technologiesYou possess strong conceptual thinking and communication skillsYou are able to work well under minimal supervisionYou are a demonstrated leader with team-oriented interpersonal skills and the ability to interface effectively with a broad range of people and roles, including upper management, IT leaders, and technology vendorsYou maintain calmness and clarity of thought under pressure and ability to maintain confidentialityYou have a deep understanding of strategic business objectives and the ability to drive results toward those objectivesBasic Qualifications:High School Diploma, GED or equivalent certificationAt least 8 years of experience working in cybersecurity or information technologyAt least 7 years of experience providing guidance and oversight of cyber security conceptsAt least 7 years of experience performing cyber security risk assessments or security architecture reviewsAt least 4 years of experience with cloud securityPreferred Qualifications:Bachelor's Degree6+ years of experience in securing a public cloud environment (e.g. AWS, GCP, Azure)Professional certifications such as AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP)At this time, Capital One will not sponsor a new 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.New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Manager, Cyber TechnicalSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr Manager, Cyber TechnicalCandidates 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 4901-4920; 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 1-800-304-9102 or via email at [email protected]. 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 [email protected] 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).

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.Yahoo is seeking an experienced and highly skilled Principal Product Designer on the Search team to lead the redesign of Search. As the Principal Product Designer, you will envision how people experience our products through Yahoo search and bring that vision to life. You will tackle complex tasks and transform them into intuitive, accessible and easy-to-use brand-forward designs for millions of people. You will work in collaboration with Designers, Researchers, Engineers, Product Managers, Business Owners, Content Strategists and Marketing to drive thought leadership behind some of the most important and exciting initiatives on the Search team. This is a unique opportunity as we're reimagining the future of Search, to reinvent how users find information and accomplish their goals. To achieve this vision, we're integrating new technology and expanding our infrastructure. This role demands strategic partnership, system thinking, exceptional design and execution skills, ambitious innovation, obsession with quality and user needs, and a passion for solving complex user problems. If you're someone who enjoys being part of high performing teams, this role is for you! Key Responsibilities:Collaborate with cross-functional partners and vertical teams, including designers, product managers, engineers, UX researchers, data scientists, content strategists, brand and marketing to help craft the long-term vision and strategyLead stakeholder discussions and presentations, run design reviews, sprints and other rituals to drive alignment and influenceLead end-to-end ideation, research, prototyping and validationPartner with design systems team to define cohesive and scalable experiencesSet the bar high by knowing what quality looks like, and how to help product, engineering and other partner teams ship at that quality with minimal impact on velocityChampion user-centric design principles and methodologies to ensure designs are grounded in data and user insightsBe the voice for our users and champion solving user problemsPartner closely with your product and engineering leads to drive innovation and push the boundaries of what's possibleYou should feel comfortable changing elevations quickly, from high-level critical thinking to evaluating research, interaction, and design executionStrong storytelling skills to drive alignment and influenceOwn project priorities and squad roadmapMentor, guide and influence other designers on the teamQualifications:7+ years product design experience or related field.Bachelors or equivalent degree in Human Computer Interaction, graphic design or other relevant fieldA portfolio demonstrating your high quality work, and expertise in designing successful product experiencesDeep knowledge of user experience methodologies, design principles and frameworksProven track record in driving vision and shaping product experiencesExperience working with qualitative and quantitative data to balance user needs and business objectivesStrong communication and collaboration skills, with the ability to influence stakeholders at all levels of the organizationExperience leading design projects across teams within an organization.A passion for mentoring and coaching other designersA track record of delivering high-quality, innovative design solutions that users loveProficiency with design tools such as Figma, Origami, Webflow, and Adobe Creative SuiteYahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( www.yahooinc.com/careers/contact-us.html ) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion ( www.yahooinc.com/diversity/ ) page to learn more.The compensation for this position ranges from $143,625.00 - $299,375.00/yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don't require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you'll be given notice to make arrangements. If you're curious about how this factors into this role, please discuss with the recruiter. Currently work for Yahoo? Please apply on our internal career site.