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Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. \n \n In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. \n \n What You’ll Do: \n\n • \n 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: \n • \n 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 \n • \n 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) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n 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 \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n 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 \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 4 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 3+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. \n • \n 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. \n • \n 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n • \n Authored/co-authored a paper on a ML technique, model, or proof of concept \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (Senior Manager, IC)\n \n \n In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. \n \n In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n 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: \n • \n 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 \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n 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) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n 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 \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n 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 \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Sr. Staff AI Engineer\n \n \n 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. \n \n Team Description: \n 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. \n What You’ll Do: \n\n • 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.\n, • 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.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\n, • 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\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 5 (Gen AI Platform Services)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n 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. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n 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. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n 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 \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n 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 \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Director, AI Engineer (Remote Eligible)\n \n \n 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. \n \n Team Description: \n 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. \n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n What You’ll Do: \n\n • 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.\n, • Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • 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.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. \n, • Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline\n, • Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks\n, • Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness\n, • Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example\n, • 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\n, • 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\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies\n, • At least 3 years of people leadership experience\n\n \n Preferred Qualifications: \n\n • 5+ years of experience managing and leading an engineering team\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • 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\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently\n, • Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks\n, • Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews)\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Director, AI Engineer\n \n New York, NY: $293,600 - $335,100 for Director, AI Engineer\n \n Richmond, VA: $244,700 - $279,200 for Director, AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, AI Engineer\n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Summary We are seeking an experienced Apache Solr Search Engineer / Consultant to design, develop, and optimize enterprise search solutions. The role involves configuring search platforms, improving search relevance and performance, managing indexing pipelines, and integrating Solr with enterprise applications to deliver efficient and scalable search capabilities. Key Responsibilities • Design, configure, and maintain Apache Solr search solutions., • Develop and optimize search queries, indexing strategies, faceting, filtering, and relevancy tuning., • Monitor search performance and troubleshoot indexing, query, and scalability issues., • Integrate Solr with applications, APIs, and backend data sources., • Manage Solr collections, schemas, analyzers, and search configurations., • Collaborate with development and business teams to understand search requirements and deliver effective solutions., • Support production deployments, performance tuning, and ongoing platform improvements. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field., • Hands-on experience with Apache Solr and enterprise search technologies., • Strong knowledge of search indexing, query optimization, relevance tuning, and data analysis., • Experience with Java, REST APIs, and JSON/XML data formats., • Familiarity with SolrCloud, distributed search, and performance monitoring., • Strong troubleshooting, communication, and problem-solving skills.

No C2C solicitation will be allowed Pay: $70 per hour Type: Onsite Wilmington, DE, McLean, VA, Richmond, VA or NYC hybrid Duration: 4 months Key Responsibilities: • Design, develop, and maintain scalable data pipelines using Java, Scala, and Apache Spark., • Build and support multi-stage AWS data pipelines using S3, AWS Glue, Step Functions, and Lambda., • Develop and maintain event-driven data architectures using Amazon EventBridge and S3 event notifications., • Design pipeline workflows that appropriately handle event-triggered reruns, retries, failures, and recovery scenarios., • Configure and manage AWS Step Functions state machines, including scheduling, orchestration, and synchronization of downstream data processing jobs., • Develop and optimize AWS Glue jobs, including configuration, resource allocation, and scaling for large-volume data workloads., • Work with modern data formats and technologies such as Apache Iceberg, including troubleshooting platform and version-specific limitations., • Implement data quality and validation components to ensure data security, integrity, and consistency across pipelines., • Identify and address schema drift, data changes, and backfill requirements within data pipelines., • Troubleshoot pipeline failures, performance issues, and data inconsistencies across distributed AWS environments., • Collaborate with data engineers, architects, and other technical stakeholders to develop reliable and maintainable data solutions., • Contribute to technical design decisions, documentation, testing, and continuous improvement of the data platform. Qualifications: • Strong hands-on experience with Java and/or Scala., • Strong experience with Apache Spark and distributed data processing., • Hands-on experience building AWS data pipelines using:, • Amazon S3, • AWS Glue, • AWS Step Functions, • AWS Lambda, • Experience with event-driven architectures, particularly EventBridge rules and S3 event notifications., • Understanding of Step Functions state machines, scheduling, orchestration, and downstream job synchronization., • Experience configuring and scaling AWS Glue jobs., • Strong understanding of data quality, schema validation, schema drift, and backfill strategies., • Experience troubleshooting and supporting production data pipelines. Preferred Qualifications • Experience with Apache Iceberg, including Glue/Iceberg integration and troubleshooting., • Experience designing resilient pipelines with rerun, retry, and failure-recovery mechanisms., • Experience implementing data validation or security-focused data quality components., • Experience working with large-scale cloud data platforms and distributed processing environments., • Strong problem-solving skills and ability to independently research and resolve technical limitations.

One of Robert Half's Fortune 500 clients in Richmond, VA is hiring a Data Scientist for a long-term, hybrid opportunity. This will be onsite 4 days per week, The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities • Analyze raw data: assessing quality, cleansing, structuring for downstream processing, • Design accurate and scalable prediction algorithms, • Collaborate with engineering team to bring analytical prototypes to production, • Generate actionable insights for business improvements Qualifications • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.), • At least 3 years' of experience in quantitative analytics or data modeling, • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms, • Fluency in a programming language (Python, C,C++, Java, SQL), • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) The compensation range for this position is $40 to $50 per hour. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.

Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities • Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform., • Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon., • Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components., • Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation., • Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams., • Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale., • Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills • Expert level in Python and Java with strong software engineering fundamentals., • Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents., • Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes)., • Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred • Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field., • Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making, • Demonstrable history of leading and sustaining build out of critical cross-team systems, • Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring., • Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote$195,000 - $217,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $195,000-$217 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

$60 - $120/hourpayPythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS Developmentmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

Senior AI Software EngineerOverview\n Join an innovative product team building AI-enabled Decision Intelligence solutions that drive meaningful outcomes across patient care, team member and patient experience, clinical and back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products—working closely with engineers, data scientists, architects, product managers, and designers through continuous Product Discovery and Product Delivery cycles. If you bring a practical “get to yes” mindset and thrive on shipping impactful AI capabilities at scale, this is a high-visibility opportunity to make your work matter. Required Skills (Top 5)\n\n • AI/ML deployment experience, including agent deployment, LLM integration, and RAG patterns\n, • Azure AI/ML deployment knowledge and cloud-based production implementation\n, • Strong cloud architecture fundamentals, including containerization and DevSecOps practices\n, • API integration, observability, and production readiness for AI applications\n, • Proficiency in at least one programming language such as Python or Java\nNice to Have Skills (Top 5)\n\n, • Experience with AI application frameworks (e.g., LangChain, LlamaIndex)\n, • Familiarity with Responsible AI principles (fairness, bias mitigation, explainability)\n, • Healthcare industry experience and/or knowledge of HIPAA privacy and security rules\n, • Proficiency with semi-structured file formats and NoSQL databases\n, • Experience designing and implementing scalable MLOps pipelines for structured/unstructured data\nPreferred Education and Experience\n\n, • 5+ years of relevant software engineering experience with demonstrated delivery of AI/ML solutions in production environments\n, • Preferred: Degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience)\nOther Requirements\n\n, • Ability to collaborate effectively on a cross-functional product team and contribute across discovery-to-delivery cycles\n, • Positive, solution-oriented approach with a focus on balancing viability, value, feasibility, and usability\n\n If you’re ready to build and deploy AI products that deliver real-world outcomes, apply today to be considered. \n Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.

Immediate need for a talented SailPoint Engineer. This is a 12 Months Contract opportunity with long-term potential and is located in Plano TX/Richmond VA (Hybrid). Key Responsibilities: • Design, implement, and support SailPoint IdentityIQ (IIQ) solutions, • Manage and enhance IAM processes including provisioning, de-provisioning, and access certifications, • Integrate applications with SailPoint using SSO, connectors, and APIs, • Configure and maintain identity lifecycle, roles, policies, and workflows, • Collaborate with security and application teams to enforce cybersecurity best practices, • Troubleshoot identity, access, and authentication-related issues, • Support audits, compliance, and access governance initiatives Key Requirements and Technology Experience: • Must have skills: SailPoint IdentityIQ (IIQ), IAM (Identity Access Management), SSO (Single Sign On), • Strong hands-on experience with SailPoint, • Expertise in Identity and Access Management (IAM), • In-depth knowledge of SailPoint IdentityIQ (IIQ), • Solid cybersecurity background and security-first mindset, • Experience with Single Sign-On (SSO) technologies, • Understanding of authentication/authorization standards (SAML, OAuth, OpenID Connect preferred), • Experience with cloud IAM integrations, • Scripting or development experience (Java, BeanShell, or similar), • Exposure to compliance frameworks (SOX, SOC, ISO) Our client is a leading Banking and Financial Industry and we are currently interviewing to fill this and other similar contract positions.

Our client is seeking a Senior Full Stack Engineer to help them continue their technology transformation and fast-track innovation through the organization. They have a desire to create the best possible digital experience for their customers with artfully created software. This will save their customers money and time. This engineer should be excited about using cutting-edge technology and pushing the envelope of what technology can do! Will be joining a talented team and immediately start driving innovation. This will be direct/permanent hire. The employee will work in their Richmond, VA (Glen Allen) office. Snapshot of the client: • Has ALWAYS set the stage for innovation in their industry. They are transforming into a technology company first, where their executives recognize that technology will be the key to their future success., • Leadership team and IT resources are some of the most well respected in the community/industry., • Team has doubled in size in the last year., • Work alongside the talented engineers to rebuild existing and create new software/digital experiences in a cloud environment., • Develop APIs and integrations that streamline processes., • Identify ways to continue innovation, possibly developing automation and contributing to continuous build/test pipelines., • Implement high-quality solutions in agile-sized increments, • A history of creating innovative and cutting-edge customer facing software solutions using technologies like React/Angular/Vue, Javascript/Typescript., • At least 10 years of web development experience in C#,.Net Framework and/or .Net Core or Java., • Experience in a cloud (Azure) environment is preferred., • Expertise in microservice architecture and REST., • Experience with DevOps will be helpful. Exposure to tools like Docker, Kubernetes, etc will be helpful., • Experience with Agile development methods, especially Scrum, • Ability to adapt to change and a commitment to excellence and quality, • This is a career shaping opportunity! Your work will be visible and impactful to the leadership team., • Client has proven that their approach to this industry is changing the landscape entirely!, • Unparalleled innovation in their space., • Excellent benefits (medical, dental, vision, generous vacation, 401K), generous bonus and other perks Compensation $110-140K+, flexible for the right experience

These positions are available to candidates who are authorized to work in the United States without requiring sponsorship now or in the future. Please Note: Candidates selected for these positions may be required to successfully obtain and maintain a Public Trust clearance as part of the onboarding process and continued employment. A tool was developed for FBV use while standing up new colo environments that allows us to quickly compare configurations server by server in all environments to identify problem areas. There is an opportunity to enhance this tool to become a valuable daily Prod and non-Prod resource for identifying anomalies both proactively for configuration drift as well as reactively as an immediately available source of reference during a production incident. The proposal would be to add automation and to display the results in a visual fashion. Developers and production support resources can instantly see the current condition of all environments at any given time. The data points can include basics like directory structure and ownership, account permissions, or more advanced items such as WebSphere custom configs, database auto-extends settings, and TLS encryption levels. Within a couple of months, this could be demo'd for the Check processing as an example for other business lines. Most of the key data points are applicable across systems, so it is very portable to other areas. The enhanced tool would be valuable for ensuring Colo environment parity ahead of ACH colo cutover. Unlike other tools, ALL environments are available in a single view as opposed to a single server or application. This capability could significantly improve system stability, reduce configuration drift, and identify abnormalities before they become problems as opposed to relying on generated alerts after a problem occurs. BS, MS, or PhD in Computer Science or related technical discipline or equivalent. 5 to 10 plus years of work related experience. Demonstrates excellent written and oral communication abilities. Demonstrates independent thinking and decision-making abilities. Strong programming skills in Java with strong object-oriented skills. Proficient knowledge of at least one Unix or Unix variant system. Proficient knowledge of at least one major relational database system. 3-4 plus years of experience in large systems software design and development experience. Experience with Spring, MVC, Java Script, Ajax is very helpful. Experience with Jenkins and GIT is helpful. Working knowledge of database SQL, creating objects and stored procedures is a plus. Good understanding of agile software development methodologies and the contrasts to waterfall methodologies.

Job Description About UZURV At UZURV, we believe that everyone has the right to get to the places they need and want to go, including work, school, shopping, connecting with friends and family, attending worship services, or just a night out. Many people are able to drive, take public transit, or use a rideshare or taxicab, but about 25% of Americans (and especially older adults and people with disabilities) need assistance for getting out and about. We call it assisted mobility, and that’s what UZURV exists to deliver. UZURV is a high-growth company that utilizes a technology platform to connect drivers, operating their own vehicles and providers operating wheelchair-accessible vehicles, with older adults and people with disabilities who need assisted mobility in order to get out and about within their communities. Since our founding in Richmond, VA, in 2017, we have grown into a leading national assisted mobility provider by partnering with public transit agencies. Today, we are operating in more than thirty communities across eighteen states and the District of Columbia, and in half of the twenty largest transit agencies in the country. Better still, we are helping meet the transportation needs of millions of riders each year. And it’s not by accident. UZURV has grown, because of the quality of our service. Riders, drivers, and employees give us high marks for our organizational culture, and for the quality and timeliness of our service. Additionally, our state-of-the-art technology enables us to provide an exceptional product at a cost significantly lower than the costs that our clients typically pay for the types of transportation services that we provide. A little bit about the role… We are seeking a talented Front-End Developer with experience in Angular and Ionic to join our dynamic development team. The ideal candidate will have a passion for building intuitive, responsive, and scalable web and mobile applications. You will work closely with cross-functional teams to design and implement cutting-edge solutions, leveraging reactive programming techniques (e.g., NgRx) to deliver a seamless user experience. To be successful at UZURV, you will: • Application Development: Develop and maintain web and mobile applications using Angular and Ionic frameworks., • Implementation: Build scalable, maintainable, and responsive front-end features while following established architecture and development standards., • Reactive Programming: Implement state management solutions using NgRx or similar libraries to create robust, predictable, and maintainable applications., • Collaboration: Work closely with back-end developers, UI/UX designers, and product managers to understand requirements and deliver high-quality solutions., • Code Quality: Write clean, efficient, and well-documented code, following best practices for Angular, Ionic, and TypeScript., • Testing: Develop unit and integration tests to ensure high-quality deliverables., • Continuous Improvement: Participate in code reviews, contribute ideas for improving development processes, and stay current with emerging front-end technologies and frameworks. We’re Excited About You Because… • Technical Skills:, • Proficiency in Angular (v12+ preferred) and Ionic frameworks., • Strong understanding of TypeScript, HTML5, CSS3, and SCSS., • Experience with reactive programming paradigms, particularly using NgRx or similar state management libraries (e.g., Akita, MobX, Redux)., • Familiarity with RxJS and reactive design patterns., • Experience:, • 3+ years of professional experience in front-end development., • 2+ years of hands-on experience with Angular and Ionic., • Experience delivering production-grade mobile and web applications., • Tooling:, • Expertise with build tools such as npm, spm, gradle, fastlane, and Angular CLI., • Familiarity with testing frameworks like Jasmine, Karma, or Jest., • Soft Skills:, • Strong problem-solving and debugging skills., • Effective communication and collaboration abilities., • Ability to work in an Agile/Scrum environment. Preferred Qualifications • Experience with other front-end frameworks or libraries (e.g., React, Vue.js)., • Familiarity with backend integration and RESTful APIs., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with Java/Spring back-end development Reasons it pays to work at UZURV (in addition to the pay itself)... UZURV employees understand we are building a company that is greatly needed to improve access to mobility for all of us, regardless of our disabilities, illnesses, or impacts of age. We get daily affirmation from riders, drivers, and the transportation companies we work with about the innovation, value, and quality inherent in what we bring to market. In addition to providing our employees with a safe and collaborative environment UZURV also offers: • 401K matching, • Healthcare benefits package, • Generous PTO and paid holidays, • Collaborative team-based work environment Come As You Are Don’t meet every single requirement? Studies have shown that women, people with disabilities, and people of color are less likely to apply to jobs unless they meet every. single. qualification. At UZURV, we are dedicated to building a diverse, inclusive, and just workplace. If you’re excited about this role but your experience doesn’t align perfectly with 100% of the qualifications listed, we encourage you to still apply. Our hiring philosophy looks to weed people into our process, not out. We are also committed to making our hiring process accessible and inclusive for all candidates. Throughout the interview process, we provide transparency into what to expect and include options to request accommodations. Interview invitations include details on how to request support such as captions, advance materials, or other accessibility needs. If you require accommodations at any stage of the process, we encourage you to reach out—we’re happy to support you in a way that allows you to show up at your best.

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. This role involves working in Java, and working on Machi

Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. Work

Job DescriptionDescription: As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and machine learning solutions that help our clients solve complex problems and unlock new opportunities. You’ll collaborate with consultants, data engineers, and client stakeholders to bring advanced AI and ML capabilities into real-world applications — from prototypes and proof-of-concepts to enterprise-scale systems. Beyond technical execution, this role is about enabling client success, simplifying complexity, and helping teams work smarter with AI. Here's what you'll do: Prioritize Client Success • Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions., • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML)., • Deliver applications that are reliable, intuitive, and built for long-term value. Get Comfortable Being Uncomfortable • Navigate emerging and rapidly changing AI/ML technologies and tools., • Adapt quickly, lead through change, and make confident decisions with limited information., • Push boundaries by recommending modern approaches and innovations in AI/ML. Peel Back the Onion • Ask the right questions to uncover root causes and deliver solutions that solve the real problem., • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes., • Explore new capabilities in deep learning frameworks, MLOps practices, and cloud platforms. Build to Last • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments., • Uphold security, data governance, and best practices in every deployment., • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement., • Coach and guide other team members to elevate technical delivery and AI/ML literacy. Embrace Being Small & Mighty • Be scrappy, stay hungry. Move fast, experiment, and adapt., • Roll up your sleeves and get your hands dirty with coding, data processing, deployment, and optimization., • Push through challenges with grit and a growth mindset. Help Others Be Great • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes., • Translate technical AI/ML concepts into clear insights for non-technical stakeholders., • Communicate complex data, models, and outcomes in a way that’s clear and actionable.Requirements:, • Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C++, R, Julia, Scala a plus., • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies., • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL, • Hands-on experience with model development, training, deployment, and maintenance. Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers)., • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines., • Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions)., • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus., • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Consulting at CapTech: • Create, evaluate and manage technical solutions to ensure client success, • Partner with clients on team-based projects to deliver solutions across the full Software Development Lifecycle leveraging the Agile Methodology as well as modern technology languages, frameworks, and patterns, • Thrive in a collaborative environment with many opportunities to learn from and share knowledge with other developers, architects, and our clients., • Design, implement, integrate and support on-prem, cloud, and hybrid development, • Create roadmap and high-level design documentation, epics and stories, • Identify and communicate architectural / solution tradeoffs, for client specific solutions, • Display a working knowledge of different architectural frameworks that may be used by our clients, • Collaborate with cross-functional teammates to support business development by demonstrating CapTech’s technical capabilities Technical Solutions: • Lead the design and architecture of Java-based solutions tailored to meet client-specific needs., • Create technical project estimates and work plans, • Develop code hands-on in addition to architecture solution, • Solutions include API-driven clients, microservice architectures, event-driven integrations, cloud deployments, serverless applications, and web and portal front ends, • Experience with Agentic AI development- Developing agents and developing with agents, • Experience with a Varied AI Toolset- Claude code, CodeX, Opencode, OpenClaude, • Preferred experience with AI orchestration Learning and Professional Development Opportunities: • Create an individualized professional development plan, • Gain experience with a variety of different clients and industry verticals, • Influence and guide professional development efforts for those at all levels, including teaching, coaching, and collaboration through project work and innovation challenges, • Share knowledge and common experiences with fellow CapTechers through Technical Communities of Practice and Lunch and Learns Qualifications Qualifications: • Enterprise-level experience with modern Java, its core libraries, and open-source frameworks, • Hands-on experience with software development, enterprise architecture, and directing technical teams, • Familiarity with microservice architectures, monitoring tools, databases, and containerization, • Ability to think strategically and relate architectural recommendations to business needs and client culture., • Extensive knowledge and application of Design Patterns, • Ability to communicate technical solutions with technical and non-technical stakeholders, • Experience assessing the performance of software systems and implementing tools used to optimize performance Preferred Qualifications: Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake) AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) Experience with Legacy Systems and Architectures including SaaS Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous time off, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $140,000-$200,000. #LI- JB1 #LI- Onsite

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You’ll Do) • Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions., • Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies., • Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution., • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications, • Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets, • 5+ years of experience delivering data engineering solutions on cloud platform, • 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP), • Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion), • Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks, • 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery), • Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs), • 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell), • Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira), • Fundamental understanding of big data, open source, and data streaming concepts, • Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs, • Experience providing technical leadership and mentoring other engineers in data engineering space, • Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs., • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Pay Range: $55.00hr - $60.00hr Job Overview: 5+ years of overall experience with 3+ years of hands-on expertise in Apache Solr Search implementation and optimization. The organization is seeking an experienced Apache Solr Search Specialist to design, develop, optimize, and support enterprise search solutions. The ideal candidate should possess strong expertise in Apache Solr architecture, indexing strategies, search performance tuning, and integration with enterprise applications. Key Responsibilities: • Design and implement scalable search solutions using Apache Solr., • Configure and manage Solr collections, cores, schemas, and indexing pipelines., • Develop and optimize complex search queries, filters, facets, boosting, and relevancy tuning., • Implement full-text search, autocomplete, spell check, synonym management, and ranking algorithms., • Analyze and improve search performance, indexing efficiency, and query response times., • Integrate Solr with Java-based and web applications through REST APIs., • Troubleshoot search issues, index corruption, replication, and cluster-related problems., • Support SolrCloud deployments, sharding, replication, and high-availability configurations., • Work closely with business analysts and application teams to define search requirements and relevancy models., • Provide recommendations on search architecture, scalability, and best practices. Required Skills: • Strong hands-on experience with Apache Solr / SolrCloud., • Expertise in search engine concepts including indexing, tokenization, stemming, analyzers, filters, and scoring., • Experience in configuring schemas, managed schemas, dynamic fields, and custom analyzers., • Knowledge of search relevancy tuning, boosting, faceting, highlighting, and query parsers., • Experience with Solr administration, performance tuning, monitoring, and troubleshooting., • Strong understanding of REST APIs and integration patterns., • Experience with Java/J2EE-based applications., • Familiarity with Linux environments and scripting., • Experience with version control tools such as Git. Preferred Skills: • Experience with Elasticsearch and comparative search architectures., • Experience working with Guidewire applications and implementing/searching solutions using Apache Solr within Guidewire environments is highly preferred., • Knowledge of cloud platforms (AWS/Azure/GCP)., • Experience in Guidewire, Insurance, Financial Services, or large-scale enterprise applications., • Exposure to CI/CD pipelines and DevOps practices., • Understanding of security, access control, and search governance. Nice to Have: • SolrCloud migration experience., • Search analytics and relevance engineering expertise., • Experience handling large-scale datasets (millions of documents). Engagement Type: • Subcontractor / Contract Resource., • Immediate to 30-day joiner preferred. Mandatory Keywords: Apache Solr, SolrCloud, Lucene, Search Optimization, Indexing, Faceting, Relevancy Tuning, Search APIs, Query Performance, Schema Design, Replication, Sharding, Search Architecture. Benefits: Our Benefits Include: • Medical, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Health Savings Account (HSA), • Disability Insurance (Short-Term and Long-Term), • Life and AD&D Insurance, • Paid Sick Leave (where required by applicable state or local law), • Supplemental Insurance Plans, • Identity Theft Protection, • Pet Insurance, • Employee Wellness Programs, • Employee Assistance Program (EAP), • Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job DescriptionCompany Description Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) Job Description Position: - Programmer Analyst .NET Core – Req ID: 804927 Location: 1401 E Broad St Richmond, VA 23219 - Hybrid Type: Contract Interview type: Both Video & In-Person Interview Skill Required / Desired Amount of Experience Web Application development experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5 Required 10 Years Experience with Automated Builds using Microsoft Team Foundation Required 10 Years Experience with Oracle SQL Server Database Required 7 Years Experience with PL/SQL and using Oracle Database Required 7 Years Experience with Process automation and troubleshooting Required 7 Years Experience with Agile SDLC best practices Required 3 Years Job Description: Seeking a Developer with 10 yrs or more .Net Web application development. Experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5experience • Seeking a senior Developer with .Net Applications Developer experience who will be responsible for managing, encoding, analyzing complex software requirements to design and develop high quality components using the .NET Core framework. The Senior Developer is expected to ensure that programming best practices are being followed, prioritize work effectively and write system documentation when required. The successful candidate should have strong communication skills to be effective in both technical and business requirement discussions. Primary responsibilities include: •Ability to develop applications and backend services using C#, ASP.NET MVC, Web API, Java Script, JQuery, Angular JS, Node.js, CSS and Blazor. •Design and develop using appropriate software design patterns to attain high reusability and maintainability. •Write effective unit tests and integration tests to ensure high quality software delivery. •In-depth knowledge of system design patterns, tiered architecture, and testing practices. •Understanding of key business processes and competitive strategies related to the IT function. •Work with project business and system analysts to clarify the requirements and then implement them. •Participate in Agile SDLC. Thanks Richard Tucker Arthur Grand Technologies Inc 8(A) Certified Business | CMMI (L3) | ISO 9001:2015 Certified | ISO/IEC 27001:2022 Certified NMSDC Minority Business Enterprise (MBE) Arthur Grand is an Equal Opportunity Employer (Including disability/Vets) Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: DMAS - Infrastructure Solutions Architect 3 Work Type: Hybrid Location: Richmond, VA Salary: Up to $117.24/hr Start Date: 10/05/2026 End Date: 06/30/2027 Industry Category: Information Technology / Healthcare Employment Type: Contract Requisition ID: 811479 Work Arrangement: Hybrid – 2 Days Onsite per Week Overview: The Virginia Department of Medical Assistance Services (DMAS) is seeking an experienced Infrastructure Solutions Architect 3 to serve as a technical lead for a new Fiscal Agent Services (FAS) technology solution supporting the Medicaid Enterprise System (MES). The role will oversee solution architecture, technical implementation, integration, security, cloud adoption, and enterprise architecture alignment while working with business stakeholders, program leadership, vendors, system integrators, and technical teams. Maximum Vendor Rate: $117.24/hr Application: Qualified candidates should have extensive experience in enterprise architecture, architectural modeling, data management, security, cloud platforms, stakeholder engagement, and large-scale IT systems. Candidates should have strong experience with Azure, AWS, or equivalent cloud platforms, as well as experience collaborating with vendors, system integrators, and multidisciplinary teams. Experience with Medicaid, MMIS, MES, healthcare IT, MITA, interoperability, enterprise integration, and federal requirements is highly preferred. Job Description: The Infrastructure Solutions Architect 3 will provide technical leadership for the implementation and governance of a new Fiscal Agent Services solution within the Medicaid Enterprise System. The role will evaluate architecture and integration requirements, provide guidance on APIs, data exchange, security, cloud strategies, and enterprise integration, and ensure solutions align with enterprise architecture standards, CMS guidelines, MITA maturity goals, and federal modularity requirements. The selected candidate will also develop architectural documentation, participate in governance and architectural reviews, collaborate with cybersecurity teams, and provide technical guidance throughout the solution lifecycle. Responsibilities: • Lead and guide the technical implementation of a new Fiscal Agent Services module within the Medicaid Enterprise System., • Oversee solution architecture and alignment with enterprise architecture standards and technical policies., • Evaluate integration requirements across Medicaid modules, including Eligibility and Enrollment, Provider Services, Third-Party Liability, Pharmacy, and Data Warehousing., • Provide architectural guidance for system interfaces, APIs, data exchange standards, security models, and cloud adoption., • Develop logical and physical architecture diagrams, data flow documentation, integration patterns, and technical roadmaps., • Ensure solutions align with CMS guidelines, MITA maturity goals, interoperability standards, and federal modularity requirements., • Collaborate with cybersecurity teams to support NIST, HIPAA, state security policies, and other applicable controls., • Participate in architectural governance, technical reviews, and change management processes., • Assess proposed solutions for sustainability, maintainability, and alignment with business and technical requirements., • Collaborate with vendors, system integrators, business stakeholders, developers, business analysts, and project teams., • Provide technical leadership throughout the solution lifecycle., • Communicate complex technical concepts clearly to technical and non-technical stakeholders., • Support modernization and enterprise architecture initiatives. Requirements Minimum Qualifications: • 10+ years of experience in architectural modeling, data management, and security best practices., • 10+ years of experience communicating technical concepts to non-technical audiences and engaging stakeholders., • 10+ years of experience collaborating with vendors, system integrators, and multidisciplinary teams., • 10+ years of experience with cloud platforms such as Azure, AWS, or equivalent., • Strong enterprise architecture, integration, data management, and security knowledge., • Ability to develop and interpret architectural diagrams, data flows, integration patterns, and technical roadmaps., • Strong analytical, problem-solving, communication, and stakeholder management skills., • Ability to work effectively with technical teams, business stakeholders, vendors, and leadership. Preferred Qualifications: • 10+ years of experience supporting large-scale healthcare or government IT systems, preferably Medicaid or MES., • Strong understanding of the MITA framework and federal interoperability requirements., • Experience with Node.js, Java, Angular, React, Python, REST, JSON, XML, X12, FHIR, and HTML5., • Experience with databases, ETL tools, relational databases, SharePoint, X12, and legacy programming environments., • Strong knowledge of enterprise integration, service-oriented architecture, APIs, cloud computing, ETL, and modular system design., • 8+ years of experience with Medicaid Management Information Systems (MMIS) or Medicaid Enterprise Systems (MES)., • 8+ years of experience in state government, public sector consulting, or large enterprise architecture environments. Benefits Compensation: Pay Rate: $117.24 per hour. Schedule: The position requires the contractor to work onsite 2 days per week. Work Location: Richmond, VA 23219

Job Description • Job Title: VDOT Application Security Architect, • Work Type: Hybrid, • Location: Richmond, VA, • Salary: $81–$101/hour, • Start Date: September 21, 2026, • End Date: June 30, 2027, • Industry Category: Information Technology / Cybersecurity, • Employment Type: 1099 Contract, • Requisition ID: 810287 Overview: • VDOT is seeking an experienced Application Security Architect to define, implement, and oversee application security architecture across enterprise IT environments., • The role will establish security principles, standards, patterns, reference implementations, and technical guardrails across complex applications and technology platforms., • The position will support secure software development, cloud-native applications, GIS solutions, low-code/no-code platforms, Agentic AI, APIs, data platforms, and enterprise applications., • The Application Security Architect will work closely with architecture, development, cybersecurity, and technology teams to identify and reduce security risks., • The role will also support data protection, data governance, privacy, threat modeling, secure design, and compliance with Commonwealth of Virginia and VITA security requirements. Application: • Interested candidates should submit an updated resume for consideration., • Candidates must be local to the Richmond, Virginia area., • Candidates must physically reside within the United States for the duration of the assignment., • Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future., • Candidates must provide a valid email address., • Candidates must provide their permanent city and state of residence., • Candidates must confirm their ability to meet the required onsite schedule., • Candidates should indicate how soon they can start after receiving an offer. Job Description: • Define, implement, and oversee application security architecture across VDOT's enterprise IT environment., • Establish application security principles, standards, patterns, reference implementations, and technical guardrails., • Embed security throughout the Secure Software Development Lifecycle (SSDLC), from requirements and architecture through development, testing, deployment, and production monitoring., • Develop secure architecture patterns for complex web applications, APIs, distributed systems, cloud-native workloads, GIS applications, low-code/no-code platforms, and Agentic AI solutions., • Lead application security architecture activities involving Azure, SQL Server, Microsoft Dynamics 365, Microsoft Power Platform, ArcGIS, and other enterprise technologies., • Define and implement security controls for data at rest, data in transit, and data in use., • Support data classification, encryption, Data Loss Prevention (DLP), privacy, data governance, and Data Protection Impact Assessments (DPIAs)., • Design granular access-control models using Role-Based Access Control (RBAC), Row-Level Security, Column-Level Encryption, dynamic data masking, and centralized database audit and activity monitoring., • Align application security architecture and controls with VITA security requirements, including VITA SEC 530., • Conduct threat modeling and security architecture reviews to identify vulnerabilities and security risks early in the development lifecycle., • Define security requirements for authentication, authorization, session management, encryption, secrets management, logging, privacy, APIs, and data protection., • Integrate application security practices into CI/CD pipelines, Infrastructure as Code (IaC), development workflows, testing processes, and release management., • Evaluate and support security tools including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), container scanning, API security testing, secret scanning, and runtime security monitoring., • Support vulnerability management activities and help prioritize remediation based on business and technical risk., • Assess security risks associated with third-party applications, open-source software, SaaS solutions, and external technology providers., • Establish secure identity and access-management patterns, including least privilege, Multi-Factor Authentication (MFA), Single Sign-On (SSO), service authentication, RBAC, Attribute-Based Access Control (ABAC), and privileged access management., • Develop security architecture for cloud environments, Kubernetes, serverless applications, containers, cloud IAM, network segmentation, and secrets management., • Support cybersecurity incident response activities and perform root-cause analysis related to application security incidents., • Maintain architecture documentation, security risk registers, exception documentation, remediation plans, standards, and security patterns., • Communicate complex security risks, technical tradeoffs, and recommended solutions to technical and non-technical stakeholders., • Work collaboratively with application development, enterprise architecture, cybersecurity, infrastructure, data, and project teams. Responsibilities: • Define and maintain application security architecture principles, standards, patterns, and reference implementations., • Conduct architecture and design reviews for applications, platforms, integrations, APIs, and cloud solutions., • Perform threat modeling and identify application, infrastructure, data, and identity-related security risks., • Define security requirements for authentication, authorization, encryption, secrets, logging, privacy, APIs, and data protection., • Support secure coding practices and security reviews across Java, .NET, JavaScript, TypeScript, and Python applications., • Integrate security controls into CI/CD pipelines and DevSecOps processes., • Evaluate and implement application security testing and monitoring tools., • Support vulnerability identification, prioritization, remediation, and risk acceptance., • Establish secure identity and access-management patterns using modern authentication and authorization technologies., • Design security controls for Azure, cloud-native workloads, containers, Kubernetes, serverless applications, and enterprise platforms., • Support data protection and privacy requirements across structured, unstructured, and spatial data., • Develop and maintain architecture diagrams, security standards, risk assessments, exception documentation, and remediation plans., • Support incident response and root-cause analysis for application security issues., • Evaluate third-party, open-source, and SaaS security risks., • Provide guidance to development and architecture teams on secure application design and implementation., • Ensure application security practices align with applicable VDOT, Commonwealth of Virginia, VITA, and organizational security requirements. Requirements Minimum Qualifications: • Bachelor's degree in Computer Science, Cybersecurity, Engineering, a related field, or equivalent practical experience., • 10+ years of experience in software engineering, application security, security engineering, or related technical roles, including experience designing and implementing security architecture., • 6+ years of experience designing and implementing security architecture for IT systems, including end-to-end security architectures for data at rest, data in transit, and data in use., • 6+ years of experience applying secure software development principles and addressing application security risks, including OWASP Top 10, insecure authorization, injection, deserialization, and API abuse., • 6+ years of experience with Microsoft technology environments, including Azure, Microsoft 365/O365, Power Platform, and Dynamics 365, as well as automated data classification, Microsoft Purview, encryption, DLP, and DPIAs., • 6+ years of experience with threat modeling and security architecture reviews., • 6+ years of experience with APIs, web applications, distributed systems, cloud environments, CI/CD, and container workloads., • 6+ years of experience with identity and authentication technologies, including OAuth2, OIDC, SAML, JWT, authorization, PKI/TLS, encryption, and secrets management., • 10+ years of experience producing architecture diagrams, standards, risk assessments, remediation plans, and other technical documentation., • Experience implementing granular access controls, including RBAC, Row-Level Security, Column-Level Encryption, dynamic masking, and centralized database audit/activity monitoring aligned with VITA SEC 530., • Experience with secure coding practices in Java, .NET, JavaScript, TypeScript, and Python., • Ability to explain technical security risks, business impacts, and architectural tradeoffs to technical and non-technical stakeholders., • Strong written and verbal communication skills., • Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Preferred Qualifications: • 6+ years of experience working in regulated environments such as financial services, healthcare, government, or payments., • 6+ years of experience with penetration testing and translating findings into architectural improvements., • 4+ years of experience developing or supporting DevSecOps programs and security automation at scale., • 4+ years of experience with privacy engineering, data classification, and compliance frameworks., • 2+ years of experience designing or implementing Esri ArcGIS security architectures., • Experience with certifications such as CISSP, CSSLP, CCSP, GIAC, cloud security, or relevant vendor certifications. Benefits Compensation: • Pay Rate: $81–$101/hour. Schedule: • Full-time contract assignment., • Hybrid work arrangement., • Initial 90-day probationary period requires onsite work 4 days per week., • After successful completion of the initial 90-day probationary period, the onsite requirement may be reduced., • Some weekly onsite presence will continue after the probationary period., • Candidates must be able to meet the required onsite schedule. Work Location: • Richmond, VA.

Job Description Job Overview: Pay Range: $85.00hr - $90.00hr Requirement/Must Have: • Proficiency in architectural modeling, data management concepts, and security best practices., • Considerable experience with cloud platforms such as Azure, AWS, or equivalent., • Experience designing or supporting large scale healthcare or government IT systems, preferably Medicaid or MES modules., • Strong understanding of MITA framework and federal interoperability requirements., • Considerable knowledge of technologies such as Node.js, Java, Angular, React, Python, REST, JSON, XML, X12, FHIR, and HTML5., • Considerable knowledge of databases, ETL tools, relational databases, SharePoint, X12, and legacy programming., • Knowledge of enterprise integration, service oriented architecture, APIs, cloud computing, ETL, and modular system design., • Prior work with Medicaid Management Information Systems (MMIS) or Medicaid Enterprise Systems (MES)., • Strong verbal and written communication skills and stakeholder engagement skills, including the ability to explain technical concepts to non-technical audiences., • Experience collaborating with vendors, system integrators, and multidisciplinary teams. Responsibilities: • Oversee and guide technical implementation of a new Fiscal Agent Services module, as part of the Medicaid Enterprise System (MES) system., • Ensure solutions align with CMS (Centers for Medicare & Medicaid Services) guidelines, MITA maturity goals, interoperability standards, and federal modularity requirements., • Lead architectural reviews, assess solution implementation, and ensure alignment with enterprise architecture and technical policies., • Evaluate system integration needs across modules such as Eligibility and Enrollment, Provider Services, Third-Party Liability, Pharmacy, and Data Warehousing., • Provide architectural guidance for system interfaces, data exchange standards, APIs, security models, and cloud adoption strategies., • Develop architectural artifacts such as logical and physical diagrams, data flow documentation, integration patterns, and technical roadmaps., • Collaborate with cybersecurity teams to ensure compliance with NIST, HIPAA, state security policies, and other applicable controls., • Participate in governance processes, review change requests, and ensure solutions are sustainable and maintainable., • Provide leadership and guidance to project teams, business analysts, developers, and external partners throughout the solution lifecycle. Nice to Have: • Experience in state government, public sector consulting, or large enterprise architecture roles. Skills: • Architectural Modeling., • Data Management., • Cloud Platforms (Azure/AWS)., • MITA Framework., • Node.js., • Java., • Angular., • React., • Python., • REST., • JSON., • XML., • X12., • FHIR., • HTML5., • ETL Tools., • SharePoint., • Service Oriented Architecture., • APIs., • NIST., • HIPAA. Benefits: Our Benefits Include: • Medical, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Health Savings Account (HSA), • Disability Insurance (Short-Term and Long-Term), • Life and AD&D Insurance, • Paid Sick Leave (where required by applicable state or local law), • Supplemental Insurance Plans, • Identity Theft Protection, • Pet Insurance, • Employee Wellness Programs, • Employee Assistance Program (EAP), • Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

At Genworth/CareScout, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other Position Title: Security Engineer, Application *This role is not eligible for sponsorship. Position location: Richmond, Va., Lynchburg, Va. *A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. Your role: As an Application Security Engineer you will manage the technologies and processes supporting secure application development in both physical datacenter and cloud environments. You will be responsible for providing application security services and support to internal partners to ensure adherence to the policies and standards of the company. As an ideal candidate you will have 3+ years of experience in a Security Engineering role with proven experience in Application Security, DevSecOps, and experience securing applications in cloud environments. What you will be doing: • Assist with the operation and maintenance of application vulnerability scanning tools, Application Security Testing (AST) platforms, and cloud security technologies., • Partner with development teams and business stakeholders to help identify application security vulnerabilities and support remediation efforts under the guidance of senior team members., • Support security investigations and remediation activities related to application and information security issues., • Assist in the administration, monitoring, and day-to-day operation of security technologies and automation platforms., • Participate in security assessments, threat identification activities, basic threat modeling exercises, and risk reduction initiatives., • Help generate reports and dashboards that provide visibility into application security findings and overall security posture., • Contribute to the collection and tracking of security metrics, Key Risk Indicators (KRIs), and security scorecards., • Serve as a point of contact for routine application security inquiries and assist with vulnerability triage, CI/CD security reviews, and remediation tracking., • Participate in the evaluation and implementation of security tools, processes, and technologies designed to strengthen the organization's security posture., • Support compliance and governance activities by assisting with security reviews, documentation, and continuous process improvements., • Learn and apply secure coding principles, industry security standards, and organizational security requirements throughout the software development lifecycle., • Collaborate with senior Application Security Engineers to gain experience in application security testing, cloud security, and DevSecOps practices. What you bring: • Computer Science or similar degree, • Experience using vulnerability scanning technologies, AST platforms, and cloud security tooling., • Formal experience with threat modeling., • Experience leading projects, initiatives, and resources through direct and indirect leadership., • Deep knowledge of Assessing and prioritization of Risk with an ability to think like a bad actor and use that context to conduct threat models., • Cloud experience (AWS, Azure, GCP), • Infrastructure as Code (IaaC) and Policy as Code (PaC) Concepts., • Experience implementing secure Software Development Lifecycle programs., • Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001, NIST 800-53., • Ability to automate tasks and code solutions to repetitive problems., • Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash), • Experience with penetration testing and web application assessment., • Experience assessing software compliance with HIPAA, PHI, PII and PCI ADDITIONAL INFORMATION National Range: $77,800 - $117,000 Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed. regulations. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management), • Caregiver and Mental Health Support Services

Series B Startup | $500 Valuation | Revolutionizing Hardware Testing This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $210,000 per year A bit about us: Join a fast-growing, well-funded Series B startup at the forefront of building the modern test stack for hardware engineering teams. Founded by MIT, SpaceX, Palantir, Anduril, NASA, and Harvard alumni and backed by top-tier investors like Founders Fund and General Catalyst. This company is revolutionizing how aerospace, autonomy, clean energy, and advanced manufacturing teams collect, validate, and act on real-time data. Why join us? ?? High-growth startup with long runway and serious backing ?? Ownership and impact: Build features from scratch, influence the roadmap ?? Deeply technical product serving cutting-edge industries ?? Competitive salary + meaningful equity ?? 100% covered health benefits, 401(k), unlimited PTO, learning stipends Job Details Job Responsibilities • Develop and deploy tailored software solutions, tools, and integrations that address unique customer needs, with a strong focus on fast iteration and functional prototypes., • Design and maintain robust data workflows that facilitate seamless connectivity between client data systems and our internal platforms, often operating in highly technical and unconventional environments., • Collaborate closely with cross-functional teams—including Sales and Operations—to support technical evaluations, guide pre-sales discussions, and define the scope of customer-facing projects., • Serve as a key voice of the customer by relaying technical feedback and user insights to influence product direction and shape future feature development., • Contribute to team growth by participating in recruitment, conducting technical interviews, and helping onboard new engineering team members. Job Requirements • Proven experience in software development, particularly in environments that require adaptability and a high degree of autonomy., • Strong analytical thinking and creative problem-solving skills, with the ability to work efficiently and independently., • A user-first perspective with a clear enthusiasm for applying software to real-world, high-impact engineering challenges., • Eagerness to be part of an early-stage team building tools that enhance the capabilities of advanced hardware systems and teams., • Willingness to travel up to 25–50% to engage directly with customers at technical sites, such as aerospace test facilities or high-precision manufacturing environments., • Experience building backend systems using Java or any other backend languages, tools, and frameworks, • Bachelor's degree in Computer Science preferred Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

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 a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a Security Leader who is passionate about building automated controls, cloud security architecture, and DevSecOps solutions to join our team. As a Security Engineer, you'll have the opportunity to be on the forefront of driving major technical transformations and securing enterprise platforms across Capital One. What You'll Do: • Serve as a trusted advisor driving the technical strategy for encryption, data protection, and cryptographic policy engineering, • Architect scalable data protection solutions spanning multiple cryptographic disciplines, key management, and tokenization platforms, • Define and lead implementation of security reference architectures and reusable control patterns across multiple business domains, • Design advanced automation frameworks for continuous detection, compliance and remediation, • Partner with platform, data and product engineering teams to embed security into core company platforms and capabilities, • Drive resolution of systemic vulnerabilities across environments, • Influence engineering standards and roadmaps through thought leadership and cross-domain collaboration, • Mentor senior engineers and elevate technical excellence across the broader security organization, • Partner with software, cloud and infrastructure teams to embed security by design into enterprise platforms, • Serve as the technical authority for emerging threats, translating risk intelligence into architectural blueprints and proactive mitigations Basic Qualifications: • High School Diploma, GED or Equivalent Certification, • At least 7 years of experience in cybersecurity or information technology, • At least 3 years of people leadership experience, • At least 3 years of experience delivering enterprise-scale security or infrastructure initiatives Preferred Qualifications: • Bachelor's Degree, • 4+ years of experience building specialization and expertise in a focused discipline of cybersecurity, • 6+ years of experience with CI/CD security integration, infrastructure as code, or serverless computing, • 7+ years of experience with data protection technologies such as KMS, HSMs, tokenization engines, and cryptographic policy management, • 8+ years of experience in cloud or infrastructure security engineering, • Experience leading enterprise-scale architecture or automation initiatives, • Hands-on experience with Infrastructure-as-Code tools (Terraform, CloudFormation) and CI/CD integration, • One or more professional certifications: CISSP, AWS Security Specialty, CIDPRO or GIAC Cloud Security, • Experience in application security and software development in one or more programming languages such as Java, Python, JavaScript, etc. At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support 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. Richmond, VA: $209,000 - $238,500 for Sr. Manager, Security Engineer 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. 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. 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).

Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. At least 5 years of experience in technology consulting, enterprise or solutions architecture and architectural frameworks. At least 3 years in a Sale Support / Client Engagement Role for new or existing deployments, RFP, SOW, Sales Presentation Creation experience At least 3 years of experience in Salesforce development and implementations Skills with good command on Apex, Visual force, controllers, triggers, batch processes, APIs and web services. At least 3 years of experience in implementing CRM solutions with a minimum of 3 years Salesforce Force.com platform/Sales Cloud/Service Cloud implementations Thorough understanding on the Life Cycle of Development including Salesforce Deployment/Packaging effectively using Metadata API, ChangeSet and Ant. Best Practices understanding on Coding Standards, Deployment, Apex, VF, Salesforce Integration, Security implementations Experience on Force.com Integration Technologies (WebServices, 3rd Party tool like CastIron/Boomi) to Integrate with On-Premise systems like Siebel, OMS and Java Based Systems Complete understanding of governor limits Implement SOAP./ REST based web services Develop Web Services classes on Force.com platform and WSDL Generation Writing Apex Classes, Visual Force Pages, Apex Triggers, Controllers, JQueries to implement complex business requirements Fluent with SOSL and SOQL, Workflows Hands on experience with Tools like Data Loader, Eclipse, SoapUI, APEX Explorer, Ant Scripts, AJAX tool kit Migration of all the Customizations including Custom Configurations, packages, and other objects from Sandbox to Production environment Customizations of Reports, Dashboards, Workflows, Approval Processes Certified Salesforce Advanced Administrator. Salesforce configuration activities like workflow rules, setting up profiles, permissions sets, sharing rules, approval process, process builder. Experience with custom reporting, modifying pages, views and dashboards Able to understand user requirements and convert them into of Salesforce.com technical requirements, system configuration Ability to work independently and as part of a team Ability to be flexible with change Good written and verbal communication skills a must Ability to work closely within a team environment Platform Dev1/2 or DEV 501 Certification SOAP implementation of the APIs both Enterprise and Partner WSDL Single Sign On Java experience is a big plus FUNCTIONAL: At least 5 years' experience in in translate functional requirements and business rules into technology solutions and develop a technical strategy, and be able to create and effectively demonstrate solutions that address customer requirements. At least 3 years in a Sale Support / Client Engagement Role for new or existing deployments, RFP, SOW, Sales Presentation Creation experience Familiarity with Salesforce latest product launches including Wave Analytics, Lightning. Ability to work in team in diverse/ multiple stakeholder environment Experience and desire to work in a Global delivery environment Well versed with Configuration and customizations of objects Understanding of market and technology trends. Analytical skills Experience and desire to work in a management consulting environment that requires regular travel Experience in at least one of the following: Certified Salesforce Advanced Administrator (Highly Desired) Salesforce configuration activities like workflow rules, setting up profiles, permissions sets, sharing rules, approval process, process builder. Experience with custom reporting, modifying pages, views and dashboards Able to understand user requirements and convert them into of Salesforce.com technical requirements, system configuration Ability to work independently and as part of a team Ability to work closely within a team environment Platform Dev1/2 or DEV 501 Certification (Highly Desired): SOAP implementation of the APIs both Enterprise and Partner WSDL Single Sign On Java experience is a big plus At least 2 years' experience in translate functional requirements and business rules into technology solutions and develop a technical strategy, and be able to create and effectively demonstrate solutions that address customer requirements. Familiarity with Salesforce latest product launches including Wave Analytics, Lightning. Ability to work in team in diverse/ multiple stakeholder environment Experience and desire to work in a Global delivery environment Well versed with Configuration and customizations of objects Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 11 years of experience in Information Technologies. U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume. All your information will be kept confidential according to EEO guidelines.

Title: Infra Solutions Architect 5 (with Infrastructure Management Exp)Location: Hermitage Road VADuration: 5 MonthsSkills: Infra Solutions Architect, Linux, Oracle, Java, Web logic environment, with some MSSQL,. Infra Solutions Architect 5 (with Infrastructure Management Exp)We are from US IT Solut

Data EngineerLocation: McLean, VA, Richmond, VA, Wilmington, DE, and Boston (Need candidate to work onsite from any location, 3 days Hybrid)Java Full Stack (80% Backend and 20% Frontend)Primary focused will be on Python.

Job Description Only Local to Virginia candidates preferred. Experience : 10+ years only The Senior Developer is expected to take a lead role within the team, ensuring that programming best practices are being followed, prioritizing work effectively, addressing production issues in a timely manner, and writing system documentation when required. The successful candidate should have strong communication skills to be effective in both technical and business requirement discussions. Skills : • Ability to develop applications and backend services using C#, ASP.NET MVC, Web API, Java Script, JQuery, Angular JS, Node.js and CSS., • Experience with ADO.Net and Entity Frameworks, • Experience with Automated Builds using Microsoft Team Foundation Server., • Experience with Oracle / SQL Server database Primary responsibilities include: • Web application development experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5, • Design and develop using appropriate software design patterns to attain high reusability and maintainability., • Write effective unit tests and integration tests to ensure high quality software delivery., • •n-depth knowledge of system design patterns, tiered architecture, and testing practices., • Understanding of key business processes and competitive strategies related to the IT function., • Ability to plan and manage projects. Ability to solve complex problems by applying best practices., • Ability to provide direction and mentor less experienced teammates., • Work with project business and system analysts to clarify the requirements and then implement them., • Participate in code reviews., • Enforce standards and best practices., • Participate in Agile SDLC.

Job Description Job Type: Corp to Corp, Contract to Hire Pay: $70 - $75 per hour (based on experience) Who We Are Soch is a pioneer in solving the public sector's most critical business challenges by digitizing and automating complex processes. We offer a suite of products that address election integrity, FOIA management, system provisioning and other critical business challenges in the government sector. What We Are Looking For We are looking for a Senior Frontend Developer to build and maintain the system’s dashboard and UI. You will be responsible for developing a visually appealing and highly interactive interface using Angular, ensuring that the system’s users can easily navigate, view reports, and monitor overall performance. We are looking for candidates with hands-on experience, with an enthusiastic, creative attitude and are excited about the intersection of technology, and user experience. In this role you will be responsible to manage the software development life cycle, from planning and development to testing and release. Senior Frontend developer responsibilities include gathering system and user requirements, building angular modules and testing features before release. If you have hands-on experience developing software with agile methodologies and are ready for a creative role, we’d like to meet you. Ultimately, you will develop, deploy and maintain functional, secure and high-quality applications. Note: This role requires hands-on experience. Primary Responsibilities of the Role • Design and develop a responsive and scalable UI using Angular that works seamlessly across devices., • Ensure smooth data handling between frontend and backend through efficient API integration., • Troubleshoot and resolve frontend issues while maintaining high code quality and following best practices for performance optimization., • HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development, • Experience in application servers such as JBOSS EAP etc., • Good understanding of relational database concepts, specifically MS SQL and/or MySQL, • Plan and complete assigned work, plan, communicate effectively orally and in writing;, • Motivate and work with people; quickly adapt to new technical environments (multiple disciplines);, • Manage multiple projects with dynamic priorities;, • Be equally adept at highly technical and strategic issues/projects., • Develop and maintain software lifecycle on AWS (AWS experience is good to have but not required)., • Proven analytical and problem-solving skills; creative thinking., • Ability to provide accurate and realistic effort estimates, commit and deliver accordingly., • Proven experience with multiple operating systems: Linux/Unix/Windows., • Develop, test, debug, document, and maintain Java/JEE applications., • Develop and maintain system documentation, including technical specifications, data mapping, program logic and flowcharts. A Successful Candidate Will Have: • 8+ years of experience with Angular, JavaScript and/or TypeScript., • Proven experience in building data-driven UIs and integrating with RESTful APIs., • Experience with data visualization libraries such as PrimeNG, etc., • Experience in rewriting/Migration from AngularJS version to the newest version, • Strong understanding of UI/UX best practices and responsive design to ensure a modern, responsive, and attractive user interface., • Experience designing, building and testing Java EE applications, • Experience with AWS infrastructure such as configuring application server, DB and network is a plus but not required, • In-depth knowledge of popular Java frameworks like SpringBoot, • Solid understanding of Object-Oriented Design Methodology and Design Patterns like Singleton, Factory, Observer, Proxy, Demand, etc. is required., • Expertise in Core Java concepts, such as OOP Design, Multi-Threading, Generics, Exception Handling, Collections, Java Reflection, Annotation is required., • Extensive practical experience in building enterprise applications using Java EE technologies is required., • Experience in SpringBoot is required., • Experience in ORM frameworks, Configuration management, Build and testing tools is required. Schedule: • Monday to Friday (Onsite/Hybrid) Company's website: • https://www.soch-inc.com Equal Opportunity Employer: Soch, Inc is proud to be an equal employment opportunity employer. Our goal is to be a diverse workforce that is representative, at all job levels. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.' Work Location: • Richmond, VA

Job TitleScala (full stack developer will also work)(Python, Java)SparkKafkaAWS (EMR)(DynamoDB, Cassandra)Required Skills : Basic Qualification : Additional Skills : Background Check :Yes.

Job Description Seeking an Infrastructure Solutions Architect to design secure, scalable solutions aligned with enterprise standards, partnering with OIM and teams to turn business needs into technical designs across cloud and on‑prem environments. We are seeking a highly skilled Infrastructure Solutions Architect to serve as a Solutions Engineer within the Solutions Engineering & Architecture Team (SEAT). This role is responsible for evaluating, designing, and guiding implementation of secure, scalable, interoperable, and supportable technology solutions aligned with enterprise architecture standards. Working closely with OIM (Office of Information Management), the Solutions Engineer collaborates with infrastructure teams, cloud engineers, application developers, security, data teams, and enterprise architects to translate business needs into actionable technical designs. The ideal candidate brings strong technical engineering expertise, architectural thinking, and hands‑on experience across modern infrastructure platforms—both cloud and on‑premises—to help build and sustain resilient, long‑term technology solutions. Required Skill / Technology Requirement Minimum Experience Azure, AWS, Google Cloud (GCP) Required 4 Years Azure App Service, AKS, Azure Functions, Azure Storage, Azure Databases Required 4 Years Docker, Kubernetes Required 3 Years C#, Java, Python, Go, Node.js Required 3 Years Azure DevOps, GitLab Required 3 Years IAM, Data Protection, Cloud Security Best Practices Required 3 Years SQL Server, Oracle, NoSQL Databases Required 3 Years Agile Methodologies, DevOps Practices Required 3 Years Communication, Problem Solving, Collaboration Required 4 Years

Job Description *Contigent upon award ON SITE: 2 days/week required and must be available for other on site meetings as required. Local Richmond area candidates preferred or must be within 1 hour's drive from Richmond due to the above on site requirements. **Pls note: Manager will start with Virtual IVs but reserves the option to request a follow up IN PERSON IV if needed Overview Important to note bf you submit: this role is more of lead/oversight/guidance role vs hands on Cloud Architecture. This is more of The FAS Solution / Cloud Architect serves as a technical lead responsible for overseeing, governing, and guiding a new Fiscal Agent Services (FAS) technology solution that supports the Medicaid enterprise system and its business operations. This role works closely with business stakeholders, program leadership, vendors, and technical teams to ensure solutions align with Medicaid Program goals, federal and state regulations, enterprise architecture standards, and modernization initiatives. Key Responsibilities: ·Oversee and guide technical implementation of a new Fiscal Agent Services module, as part of the Medicaid Enterprise System (MES) system ·Ensure solutions align with CMS (Centers for Medicare & Medicaid Services) guidelines, MITA maturity goals, interoperability standards, and federal modularity requirements. ·Lead architectural reviews, assess solution implementation, and ensure alignment with enterprise architecture and technical policies. ·Evaluate system integration needs across modules such as Eligibility and Enrollment, Provider Services, Third‑Party Liability, Pharmacy, and Data Warehousing. ·Provide architectural guidance for system interfaces, data exchange standards, APIs, security models, and cloud adoption strategies. ·Develop architectural artifacts such as logical and physical diagrams, data flow documentation, integration patterns, and technical roadmaps. ·Collaborate with cybersecurity teams to ensure compliance with NIST, HIPAA, state security policies, and other applicable controls. ·Participate in governance processes, review change requests, and ensure solutions are sustainable and maintainable. ·Provide leadership and guidance to project teams, business analysts, developers, and external partners throughout the solution lifecycle. SkillRequired / DesiredYears of ExperienceArchitectural Modeling & Data Management – Proficiency in architectural modeling, data management concepts, and security best practicesRequired10 YearsCommunication & Stakeholder Engagement – Ability to clearly explain technical concepts to non-technical audiences and engage stakeholders effectivelyRequired10 YearsCollaboration – Experience working with vendors, system integrators, and multidisciplinary teamsRequired10 YearsCloud Platforms – Experience with Azure, AWS, or equivalent cloud environmentsRequired10 YearsHealthcare / Government Systems – Experience designing or supporting large-scale healthcare or government IT systems (e.g., Medicaid, MES)Highly Desired10 YearsMITA Framework & Interoperability – Strong understanding of MITA framework and federal interoperability requirementsHighly Desired10 YearsModern & Emerging Technologies – Knowledge of Node.js, Java, Angular, React, Python, REST, JSON, XML, X12, FHIR, HTML5Highly Desired10 YearsDatabases & ETL – Experience with databases, ETL tools, relational systems, SharePoint, X12, and legacy technologiesHighly Desired10 YearsEnterprise Architecture & Integration – Knowledge of SOA, APIs, cloud computing, ETL, and modular system designHighly Desired10 YearsMMIS / MES Experience – Prior experience with Medicaid Management Information Systems or Medicaid Enterprise SystemsHighly Desired8 YearsCertifications – Relevant certifications such as AWS or Azure Architect (or equivalent)Highly Desired8 YearsPublic Sector Experience – Experience in state government, public sector consulting, or large enterprise architecture rolesNice to Have8 Years

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Required skills for Java/Full stack/Software Programmer:Bachelors degree or Masters degr

Job Description *Contingent upon Award This role is hybrid. VDOT is seeking aVDOT is seeking a Senior Azure Infrastructure Engineer to implement, configure, manage, and provide guidance on cloud infrastructure in VDOT's Azure environment. We are looking for someone who is truly passionate about implementing and maintaining a secure and stable Azure environment- someone who likes taking on challenges and seeing them through to the end, is comfortable working with/guiding others, and comfortable with providing guidance to management and upper leadership. Requirements: Experience providing guidance on the implementation of resources, networking, and security policy in Azure, and experience implementing, maintaining, and monitoring those resources. Experience with working in mission-critical enterprise environments, including overseeing backup & disaster recovery operations Experience planning & executing cloud migrations, and moving workloads from on-premises to the cloud. Comfortable working in an environment that utilizes multiple frameworks/technologies, including .NET, Java, SQL, Oracle, Microsoft Dynamics, and more. Experience providing support and troubleshooting issues for production applications. Experience working with security tools such as Tenable to manage vulnerability remediation, etc. Experience with tools like Azure Monitor, Workbooks, and Alerts - to create meaningful monitoring dashboards & alerting for critical observability for the ops team Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Azure Infrastructure & Cloud Operations Skills Matrix SkillRequired / DesiredYears of ExperienceExperience implementing, maintaining, monitoring, and providing guidance on resources and infrastructure in Microsoft AzureRequired8 YearsExperience planning and executing migrations from on-premises environments to AzureRequired8 YearsExperience working in mission-critical enterprise environments and implementing backup and disaster recovery (DR) strategiesRequired8 YearsExperience implementing networking and security policies in AzureRequired8 YearsExperience using Azure Monitor for alerting, observability, monitoring, and dashboard developmentRequired8 YearsExperience with vulnerability remediation and participation in enterprise security initiativesRequired8 Years Nice-to-haves: Microsoft-focused certifications, such as: Azure Administrator Associate, Azure Solutions Architect, etc. Networking-focused certifications, such as: Network+, CCNA, etc.

Job Description Position: VDOT Application Security Architect Location : 1221 E. Broad St.Richmond, VA Interview : Both Web Cam and In Person Interview Job : Hybrid *Local candidates only please *Candidate must be able to work onsite 4 days/week during an initial 90-day probationary period; there is a possibility of reduced onsite commitment after successful probation, though some onsite presence will continue to be required weekly. VDOT is seeking an Application Security Architect to define, embed, and oversee application security strategies across enterprise IT initiatives. This role will be responsible for the solution of Secure Software Development Lifecycle (SSDLC) across a hybrid ecosystem, spanning complex web applications, Agentic AI solutions, cloud-native solutions, enterprise GIS platforms, low-code no-code and create patterns. Lead the data protection strategy, data governance frameworks, and privacy posture across our state-wide transportation ecosystem. Define how structured, unstructured, and spatial data (GIS) are classified, encrypted, stored, and accessed across cloud data platforms. support architecture, development, and cybersecurity teams to perform threat modeling, secure architectural designs and ensure compliance with Commonwealth of Virginia (COV) and VITA security standards. Bachelor’s degree in computer science, cybersecurity, engineering, or a related field (or equivalent practical experience) is required. Certifications such as CISSP, CSSLP, CCSP, GIAC, or relevant vendor credentials are highly desired. Core responsibilities · Define application-security architecture principles, standards, patterns, reference implementations, and guardrails for web, mobile, API, microservice, and cloud-native systems. · Perform architecture and design reviews, identify trust boundaries, attack paths, data flows, security gaps, and compensating controls. · Lead or facilitate threat modeling for new applications, major features, integrations, and high-risk changes. · Establish repeatable security requirements for authentication, authorization, session management, encryption, secrets management, logging, privacy, API protection, and data protection. · Partner with software engineers to integrate security throughout the SDLC, including code review, CI/CD pipelines, infrastructure as code, testing, release approval, and production monitoring. · Evaluate and guide use of security tools such as SAST, DAST, software composition analysis, container/image scanning, API security testing, secret scanning, and runtime protection. · Define a vulnerability-management approach for applications and dependencies, including severity criteria, remediation SLAs, exception processes, and verification of fixes. · Assess third-party libraries, open-source dependencies, SaaS integrations, and vendor-provided components for security risk. · Design identity and access-control patterns, including least privilege, MFA/SSO integration, service-to-service authentication, RBAC/ABAC, and privileged-access controls. · Work with cloud and platform teams to secure application hosting environments, including Kubernetes, serverless, containers, CI/CD, cloud IAM, network segmentation, and secrets storage. · Advise incident-response teams on application-layer threats and contribute to root-cause analysis and security improvements after incidents. · Maintain architecture documentation, security decision patterns, risk registers, and exception documentation. Required qualifications · Bachelor’s degree in computer science, cybersecurity, engineering, or a related field or equivalent practical experience. · 10+ years in software engineering, application security, security engineering, or related technical roles, including 2+ years designing security architecture for systems. · Strong understanding of secure software-development principles and common application risks, including the OWASP Top 10, insecure authorization, injection, deserialization and API abuse. · Design and implement end-to-end security architectures for data-at-rest, in-transit, and in-use across Azure, SQL Server, Dynamics 365, Power Platform, and ArcGIS platforms, utilizing automated classification (e.g., Microsoft Purview), robust encryption, DLP rules, and privacy risk assessments (DPIAs) to protect sensitive state transportation and infrastructure assets. · Enforce granular data access controls (including RBAC, Row-Level Security, Column-Level Encryption, and dynamic masking) and establish centralized database audit logging and activity monitoring pipelines to ensure strict alignment with VITA SEC 530 security standards. · Demonstrated experience with threat modeling and security architecture reviews. · Experience securing APIs, web applications, distributed systems, cloud platforms, CI/CD pipelines, and containerized workloads. · Working knowledge of secure coding in one or more common ecosystems, such as Java, .NET, JavaScript/TypeScript, Python platforms. · Experience with identity, OAuth 2.0, OpenID Connect, SAML, JWTs, authorization design, PKI/TLS, encryption, and secrets-management practices. · Ability to explain technical risks and tradeoffs clearly to engineers, product managers, executives, and nontechnical stakeholders. · Strong written communication skills, including the ability to create architecture diagrams, standards, risk assessments, and actionable remediation plans. Preferred qualifications · Experience in a regulated environment such as financial services, healthcare, government, or payments. · Experience implementing DevSecOps programs and security automation at scale. · Familiarity with privacy engineering, data classification, and compliance frameworks relevant to the organization. · Certifications such as CISSP, CSSLP, CCSP, GIAC, cloud-security certifications, or relevant vendor credentials. · Experience conducting or coordinating penetration testing and translating results into durable architectural improvements.

Job Description Are you a software developer with a passion for coding, collaboration, and mentorship? Join Kinsale Insurance, a fast-growing and successful excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We foster a highly collaborative technology environment where developers work side by side with product teams and business stakeholders in a dynamic, Agile setting where your contributions matter from day one. We're hiring across experience levels — from developers looking to deepen their architectural thinking to seasoned engineers ready to lead by example and influence architecture decisions. About the Role As a Software Developer / Senior Software Developer, you'll join one of our cross-functional Agile teams and contribute to the full lifecycle of enterprise applications, from design to deployment. You'll leverage generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude Code) in day-to-day development to accelerate coding, automate repetitive tasks, and improve code quality and productivity — and, depending on experience, help shape the vision and roadmap for your team's software solutions. What You'll Do • Deliver high-quality, scalable code and solutions aligned with business needs and team objectives., • Contribute to — or lead — the architecture and design of maintainable, enterprise-grade applications, aligning them with IT and business strategies., • Research, evaluate, and recommend technologies and approaches to solve complex or evolving business challenges., • Champion best practices in coding, testing, security, and Agile methodologies across the team., • Identify opportunities to streamline code, reduce duplication, and improve system efficiency., • Manage upstream and downstream dependencies across systems, teams, and environments to protect delivery timelines., • Break down complex business and technical problems into well-defined components that support parallel development and incremental delivery., • Collaborate closely with developers, product owners, and business stakeholders throughout the development lifecycle., • Incorporate feedback from code reviews and design discussions to continuously grow technical depth and system understanding., • Actively participate in Agile ceremonies, supporting continuous improvement, collaboration, and excellence. What You Bring Required: • Bachelor's degree in Computer Science, Information Technology, or a related field — or bootcamp certification — preferred., • Experience with Java (Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, Hibernate) and Angular (v17+)., • Exposure to full-stack or enterprise applications with proficient knowledge in one or more areas., • A curiosity for staying current on the latest trends and technologies, with an eye for practical opportunities to use them., • Familiarity with technologies such as Java (Spring, Spring Boot, JPA, Docker, REST, SOAP, Hibernate), AWS SQS, AWS EKS, Python, Angular, Node.js, SQL, JSON, Kong, Confluent Kafka, and cloud technologies (preferably AWS) is a plus., • Experience with tools such as SonarCloud, Git, GitLab, Maven, Visual Studio Code, and IntelliJ, plus CI/CD practices, is a plus., • Familiarity with Agile software development practices and cross-functional team collaboration., • Experience using AI coding assistants and LLMs (e.g., GitHub Copilot, ChatGPT, Claude Code) to enhance development and automation. Expected for senior level candidates: • 3+ years of experience as a full-stack developer, with a strong foundation in enterprise application development., • 2+ years of hands-on experience with AWS; AWS Certified Developer certification is a plus., • Strong experience with Java, including Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, and Hibernate., • Proficiency leveraging AI coding assistants (e.g., GitHub Copilot, Claude Code) and Large Language Models to optimize engineering workflows., • Solid understanding of RAG systems and autonomous agent-based architectures using proprietary or open-source AI models., • Preferred: Experience with event-driven architecture, serverless technologies, AngularJS/Angular, Node.js, SQL, SQS, Confluent Kafka, Kong, and DevOps tools such as Git, GitLab, Maven, and SonarCloud. Why You'll Love Working at Kinsale, • Competitive Pay & Bonus Opportunities – Rewarding performance, initiative, and technical excellence., • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $7,000 (family) in HSA contributions per year., • Work-Life Balance – Generous paid time off including 22 days of PTO and 10 paid company holidays., • Career Growth – Clear promotion paths, mentorship, and ongoing professional development opportunities., • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, plus standard life insurance and disability coverage., • Continuous Learning – Annual $3,000 reimbursement for educational training, conferences, and certifications. Integrity & Responsibility Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information. Ready to Apply? If you're a motivated, collaborative engineer who thrives on innovation and building solutions that make a real difference, this is your opportunity. Join Kinsale Insurance and grow your career in a company that rewards excellence, initiative, and continuous learning — whether you're deepening your craft or ready to lead. Apply today and start building your future with us! Salary Range Software Developer: $105,000 – $117,000 Senior Software Developer: $120,000 – $150,000 This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.

Solutions ArchitectLocation: Richmond,VAExperience: 5+Team: EngineeringPractice: CloudData - SparkRDBMS or NoSQLAWS and devops are optionalLanguage - Java or Scala or Python5+ years of experience with good communication skills.

Basic QualificationsBachelor’s Degree in Computer Science, Engineering, or a related field8–10 years of professional experience in microservices/API development using Java and Spring Boot8–10 years of experience building scalable data pipelines using Spark/Java and Spring Boot8–10 years of e