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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 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).

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).

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 3\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, • 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 3 years of experience programming with Python, Java, Golang, or C++\n, • At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 1 year 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, • 1+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 1+ 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, • 1+ 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, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n, • 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\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: $161,800 - $184,600 for Machine Learning Engineer 3\n \n New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3\n \n Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3\n \n Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3\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).

Job DescriptionSteel Fabrication Fitter – Richmond, VA Location: Richmond, VA Job Type: Full-Time, Contract-to-Hire Shifts: 1st & 2nd Shift Pay: Up to $28/hour, based on experience 2nd Shift Differential: +$3/hour Position Overview Seeking an experienced steel fabrication fitter to prepare and assemble structural steel components. This hands-on role requires blueprint reading, accurate layout and measurements, component positioning, and proper fit-up before final fabrication. Key Responsibilities • Read and interpret blueprints, shop drawings, and fabrication specifications., • Lay out, measure, mark, position, and fit structural steel components., • Prepare steel parts for fabrication and assembly., • Align and secure components according to drawing dimensions and specifications., • Set up and operate fabrication equipment, including a track torch., • Monitor measurements and component placement throughout the fabrication process., • Inspect assemblies for proper dimensions, alignment, fit-up, and overall workmanship., • Identify and correct fitting or alignment issues when necessary., • Coordinate with supervisors and other shop personnel to meet production requirements., • Keep tools, materials, and work areas clean and organized., • Follow established safety procedures and shop requirements.Qualifications, • Previous experience in structural steel fitting, layout, or fabrication., • Ability to read and understand blueprints and technical drawings., • Hands-on experience with steel fitting, alignment, positioning, and assembly., • Ability to set up and operate a track torch., • Familiarity with welding methods, fabrication machinery, and common shop tools., • Strong measuring skills and attention to detail., • Ability to produce accurate, quality work in a production environment., • Ability to work effectively as part of a fabrication team., • Commitment to safe work practices and an organized shop environment., • AWS or other welding certifications are a plus. 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.

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).

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 \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).

Job Description SUMMARY The Production Welder 1 performs structural steel welding operations in accordance with approved welding procedures, shop drawings, and quality requirements. This position is responsible for producing consistent, high-quality welds while maintaining safety, productivity, and housekeeping standards. DAILY RESPONSIBILITIES • Perform MIG, FCAW, SMAW welding on structural steel components., • Read and interpret basic fabrication drawings and weld symbols., • Follow approved Welding Procedure Specifications (WPS)., • Complete fit-up verification prior to welding., • Perform basic equipment setup and maintenance., • Maintain production quality and throughput standards., • Follow all safety requirements and PPE guidelines. Successful candidates will have: • AWS D1.1 certification (1G, 2G, or 3G minimum)., • Ability to successfully complete inhouse training of AISC Fundamentals Training (FD-01 through FD-15)., • Ability to read tape measures and basic fabrication prints., • Ability to safely operate welding equipment and hand tools. Equal Opportunity Employer: All qualified applicants are encouraged to apply. Kinsley Steel, Inc. is a Drug Free Workplace where post-offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Kinsley Steel, Inc. is a participant in the Federal E-Verify Program. Job Posted by ApplicantPro

$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.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Free uniforms, • Paid time off, • Training & development Benefits/Perks • Flexible Schedule, • Competitive Pay, • Career AdvancementJob Summary We are seeking a skilled Welder and Fabricator to join our team. In this position, you will be fabricating accurately and welding structural components and parts on trailers. This is an integral part of the construction process, as it provides a strong infrastructure foundation. The ideal candidate is a hard worker with great attention to detail and proven experience as a Welder. Responsibilities • Welding & Fabricating, • Plan layout and measurements of structural components, • Interpret requirements to select the most appropriate welding equipment for the job, • Operate angle grinders, rulers, and other hand and power tools, • Use manual and semi-automatic welding equipmentQualifications, • Previous experience as a Welder, • Professional Certification (AWS welding certificate) is preferred but a requirement, • Experience with a variety of welding equipment and tools, • Attention to detail

Job DescriptionBenefits: • 401(k), • Employee discounts, • Health insurance, • Paid time off About the Role: Join VA INDUSTRIAL LLC as a Pipe Welder and become a vital part of our skilled team in Sandston, VA. We are looking for passionate individuals who thrive in a fast-paced environment and take pride in delivering high-quality welding work. Responsibilities: • Perform MIG and TIG welding on various pipe materials and thicknesses., • Interpret blueprints and engineering drawings to execute precise welds., • Conduct inspections and tests to ensure weld integrity and quality., • Maintain a clean and safe work environment in compliance with safety standards., • Collaborate with team members to meet project deadlines and specifications., • Utilize welding machines and tools effectively and safely., • Document work progress and report any issues to supervisors., • Participate in ongoing training to enhance welding skills and techniques.Requirements:, • High school diploma or equivalent; vocational training in welding is a plus., • Minimum of 3 years of experience in pipe welding., • Valid welding certification (e.g., AWS, ASME preferred)., • Strong understanding of welding techniques and metallurgy., • Ability to read and interpret technical drawings and schematics., • Excellent attention to detail and commitment to quality workmanship., • Strong communication skills and ability to work in a team environment., • Willingness to work flexible hours and overtime as needed.About Us: VA INDUSTRIAL LLC has been a trusted name in the industrial sector for over 10 years, providing exceptional welding and fabrication services. Our commitment to quality and customer satisfaction has earned us a loyal client base, while our supportive work culture makes us a great place for employees to grow and thrive.

Job Description The Senior Fabricator and Quality Control Inspector is an expert craftsman responsible for complex fabrication projects, advanced layouts, specialty forming operations, and technical leadership. DAILY RESPONSIBILITIES • Perform complex layouts and geometric calculations., • Perform daily inspections of fabricated steel in our AISC certified facility, • Operate advanced fabrication equipment., • Perform heat cambering, jacking, and specialty forming operations., • Design and construct fabrication jigs and fixtures., • Perform MIG, FCAW, SMAW, GTAW, SAW, • Weld in all positions to AWS D1.1. D1.5 standards. (1G, 2G, 3G, 6G), • Perform advance torch and plasma cutting operations, • Mentor fabricators and support process improvements., • Address and document non-conformances for Structural Steel (D1.1/D1.5)., • Inspect fabricated material to ensure it meets the specifications outlined in the shop drawings. In addition to these responsibilities, you will play a key role in both in-process and final inspections, ensuring the dimensional layout and placement of parts meet our rigorous standards. Successful candidates will have: • Expert-level fabrication experience., • Advanced blueprint interpretation and layout skills., • Proven ability to independently execute complex projects. Equal Opportunity Employer: All qualified applicants are encouraged to apply. Kinsley Steel, Inc. is a Drug Free Workplace where post-offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Kinsley Steel, Inc. is a participant in the Federal E-Verify Program. Job Posted by ApplicantPro

Job Description The Fitter Fabricator independently performs layout, fitting, and fabrication activities requiring advanced blueprint interpretation and equipment operation. DAILY RESPONSIBILITIES • Perform advanced layout and fit-up activities., • Perform MIG, FCAW, SMAW, GTAW, SAW, • Weld in all positions to AWS D1.1. D1.5 standards. (1G, 2G, 3G, 6G), • Perform advance torch and plasma cutting operations, • Read and interpret complex fabrication drawings., • Independently operate hand saws, mag drills, and fabrication equipment., • Verify dimensions and tolerances., • Assist with training junior fabricators. Successful candidates will have: • Ability to complete inhouse training of AISC Layout & Fit-Up Training., • Proven fabrication experience., • Ability to work independently with minimal supervision. Equal Opportunity Employer: All qualified applicants are encouraged to apply. Kinsley Steel, Inc. is a Drug Free Workplace where post-offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Kinsley Steel, Inc. is a participant in the Federal E-Verify Program. Job Posted by ApplicantPro

Job Description Enterprise Solutions and Management (ESM) is a rapidly growing government contractor that provides strategic IT services that meet mission needs for Defense and Federal customers. We are hiring a System Engineer to support an enterprise-level program within a federal environment. Job Description and Responsibilities The System Engineer will be responsible for provisioning, configuring, operating, and maintaining on-premises and cloud infrastructure, with a focus on enterprise storage, availability, backup, and disaster recovery. Provide technical support and hands-on expertise for planning, implementation, troubleshooting, and continuous improvement of cloud and storage environments while ensuring compliance with organizational and regulatory requirements. Monitor and optimize system performance, capacity, backups, data restoration, and disaster recovery capabilities; coordinate and document DR failovers; and maintain high availability of critical applications and systems. Design, integrate, and manage storage arrays, fiber switches, file-sharing technologies, and related components. Conduct preventative maintenance, storage analysis, capacity and performance planning, and advanced troubleshooting. Develop and maintain technical documentation, policies, procedures, test plans, and reports, while researching emerging technologies and recommending enhancements to improve efficiency, reliability, and overall infrastructure performance. Required Knowledge, Skills and Abilities (KSA) • Knowledge of enterprise cloud and on-premises infrastructure, including storage systems, backup solutions, disaster recovery, operating systems, and related technologies., • Skills in storage administration and infrastructure management, including storage arrays, fiber switches, file-sharing technologies, capacity planning, and performance optimization., • Ability to design, implement, monitor, and troubleshoot complex infrastructure environments to ensure high availability, reliability, and performance., • Knowledge of backup, data restoration, and disaster recovery principles, including planning, testing, executing, and documenting DR failovers., • Skill in developing technical documentation, policies, procedures, test plans, and reports while ensuring compliance with organizational standards and regulatory requirements., • Ability to research emerging technologies, identify infrastructure improvements, and communicate complex technical concepts to technical and non-technical audiences. Desired KSA • Be a positive, self-motivated, and proactive person with the ability to adapt to change and tolerate stressful situations, • Candidate must communicate effectively with team members, team lead, management, and government customers, • Must have the ability and desire to research and develop creative solutions to unique problems with minimal supervision Minimum Training, Education, and Certifications • Five (5) years of overall professional experience in the engineering field. This includes evaluating, manufacturing, and integrating enterprise-level storage and backup software technologies., • Three (3) years of hands-on experience managing hybrid storage infrastructure (Azure cloud and/or Amazon Web Services)., • Two (2) years hands-on experience with enterprise SAN (Storage Area Network) management to include capabilities and technologies such as: Fiber Channel zoning, iSCSI, FCoE (Fiber Channel over Ethernet) unified fabric, HBA/CNA (Host Bus Adapter/Converged Network Adapter), storage controllers, and LUN (Logical Unit Number), RAID (Redundant Array of Independent Disks), and file sharing / NAS (Network Addressable Storage). Hands-on experience with enterprise hierarchical storage system management; operation of enterprise backup/restore services, using products such as Cohesity NetBackup, Amazon Web Services (AWS) Backup, Microsoft Azure Recovery Services/Site Recovery, and Oracle Cloud Infrastructure (OCI) Backup and Disaster Recovery, • DOD 8140 baseline certification - IAT Level II, • Approved System or Cloud Engineer certification Minimum Clearance • Top Secret Physical Requirements • Required to stand, walk and sit; communicate verbally both in person and by telephone; use hands to finger, handle or feel objects or controls; reach with hands and arms. Regularly required to stoop, kneel, bend, crouch and lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus., • Physical demands associated with this position include extensive walking (including stairs) throughout offices and between buildings. May require use of public transportation, personal or Government vehicle to drive to local and/or remote office locations. Additional Requirements • Other duties as assigned ESM provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin or ancestry, disability, genetic information, veteran status, gender identification or any other characteristic protected by state, federal or local law.

Job DescriptionBenefits: • Bonus based on performance, • Company parties, • Competitive salary, • Health insurance, • Paid time off, • Training & development Tier III Systems Engineer Position Overview: CNI is seeking an experienced Tier III Systems Engineer to serve as the senior technical authority for our managed services clients. This role acts as the final escalation point for complex technical issues while also leading infrastructure projects and advising client leadership on best-fit IT solutions. The ideal candidate is a seasoned systems engineer who combines deep technical expertise with strong problem-solving skills, project ownership, and the ability to communicate confidently with both technical teams and client executives. The candidate will be working in our Glen Allen Virginia office. Key Responsibilities: Technical Leadership & Escalations Serve as the final escalation point for Tier I and Tier II support teams Troubleshoot and resolve complex, high-impact issues across client environments Perform deep root-cause analysis and implement long-term, sustainable solutions Mentor and guide Tier I & II engineers on advanced troubleshooting and best practices Infrastructure & Project Delivery Lead and execute projects related to clients’ overall IT infrastructure, including: Server deployments and migrations Virtualization platforms Network architecture improvements Cloud initiatives Security enhancements Own projects from design through implementation and documentation Balance project work with high-priority operational support Client Advisory & Strategy Act as a trusted technical advisor to client points of contact and C-level stakeholders Translate business needs into secure, scalable, and cost-effective IT solutions Provide guidance on infrastructure roadmap planning and technology decisions Communicate technical concepts clearly to non-technical audiences Technical Expertise Required: Advanced knowledge of: Microsoft 365 platform including Entra, Exchange, Intune, Purview Windows and/or Linux server environments Google Workspace Admin platform Virtualization platforms (VMware, Hyper-V, or similar) Networking (routing, switching, firewalls, VPNs) Public and private cloud platforms (Azure, AWS, etc.) Cybersecurity principles and best practices Strong troubleshooting methodology and documentation skills Experience operating in a managed services or multi-client environment preferred Professional Skills & Attributes: Self-directed and comfortable owning complex problems end-to-end Strong research skills and persistence when dealing with ambiguous issues Excellent written and verbal communication Calm and methodical under pressure Able to balance technical depth with business awareness Benefits & Compensation Health Care Reimbursement Account (HRA): $400/month tax-free for employees $800/month tax-free for employees with dependents Eligible after 90 days of employment (Health insurance required to participate; funds may be used for premiums, dental, vision, medical copays, and prescriptions) Paid Time Off: 120 hours accrued annually, eligible after 90 days of employment. Holiday pay begins day 1. Competitive salary based on experience Opportunities for growth, influence, and technical ownership Why This Role Matters: This position is critical to maintaining technical excellence, client trust, and long-term infrastructure stability. The Tier III Systems Engineer is not just a problem solver — they are a technical leader and advisor who shapes how clients experience CNI.

Job DescriptionSyms Strategic Group (SSG) is seeking a talented C# Developer - II Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security Clearance Level: Public Trust (MBI) Salary Range: $85,389 - $116,975 If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review. Military Veterans are highly encouraged to apply! Essential Duties and Responsibilities • Perform technical planning, high-level and detailed requirements definition, test planning and execution (including use cases, test procedures, and test data), software systems integration, and technical support for software systems and subsystems, • Perform software system product services, including concept design, test, installation, operation, maintenance, and disposal, • Serve as an active member of the software development team participating in daily stand-ups, • Utilize full-stack development expertise that ranges from development of .Net back-end application using C#, unit testing, testing with Nunit or other tools, and deployment using Continuous Integration/Continuous Deployment (CI/CD) pipelines, • Ensure the performance, quality, and responsiveness of application, • Provide development support (as needed) for solutions deployed to production, • Implement long-term solutions and building blocks within the Agile framework for improved reusability, • Interface with the stakeholders for project requirements, • Apply and promote good software engineering practices such as test automation, modularization, and simplification, • Collaborate and coordinate with colleagues on various solutions and problems, • Document software designs, which may include design diagrams, data flow diagrams, software module descriptions, etc., • Use Integrated Development Environment (IDE) tools to include Visual Studio, Azure DevOps, and Git Required Skills and Experience, • Expertise in .Net framework and .Net Core, with a strong understanding of C#, • Proficiency in developing back-end applications using Model-View-Controller (MVC) architecture and .Net core, • Strong Knowledge of Object-Oriented Programming (OOP) and design patterns, • Experience with Representational State Transfer Application Programming Interface (RESTful APIs) and other APIs, • Proficiency in database design and development, including working with Structured Query Language (SQL) Server and Entity Framework, • A familiarity with cloud platforms (e.g. Microsoft Azure and Amazon Web Services (AWS)) and services, • Experience with version control systems (e.g. GIT and Team Foundation Server/Team Foundation Version Control (TFS/TFVC)), • An understanding of CI/CD practices and tools (e.g. AWS CodePipeline, CodeBuild, and CodeDeploy), • Knowledge of unit testing frameworks and tools (e.g. NUnit, xUnit, and MSTest), • A proficiency in using development tools like Visual Studio and Visual Studio Code, • Excellent problem-solving and analytical skills, • Strong communication and interpersonal abilities, • An ability to work independently and as part of a team, • Attention to detail and commitment to producing high-quality software, • An ability to mentor and provide technical guidance to junior developers, • An ability to prioritize tasks and manage time effectively, • Experience with Agile development methodologies (e.g., Scrum and Kanban), • A familiarity with DevOps practices and infrastructure as code (IaC), • A strong understanding of security best practices for web applications and APIs, • An ability to conduct code reviews and provide constructive feedback, • Experience with performance tuning and optimization of applications, • Experience with third-party libraries, Software Development Kits (SDKs), and APIs relevant to .Net developmentProfessional CertificationsNone requiredYears of Professional ExperienceFive (5) or more years of experience in software development using .Net technologies A proven track record of working on complex software projects and leading development initiatives Experience with designing, developing, and deploying enterprise-level applicationsDesired experienceElectronic Data Interchange X.12 (EDI) Medical Claims • X.12 medical claims (837, 834, 277, etc)Knowledge of microservices architecture and containerization technologies (e.g. Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS))Formal EducationBachelor’s Degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with eight (8) or more years of experience; Master’s Degree in Computer Science, Electronics Engineering, or other engineering or technical discipline along with five (5) or more years of experience; Ph.D. in Computer Science, Electronics Engineering, or other engineering or technical discipline along with three (3) or more years of experienceCitizenship RequirementU.S. Citizenship required for this specific opportunitySecurity Clearance RequirementsMust possess or qualify for a Public Trust (MBI)CRITICAL NOTES: • SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered., • Recruiters or Third parties will not be considered., • This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ, NY, OR, or WA will not be considered., • This is a W2 position., • All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions., • As part of our screening process, you will be requested to provide a link to your LinkedIn profile. U.S Citizenship is required for this specific opportunity. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness. Syms Strategic Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information. Powered by JazzHR pZQoy83jFI

Job Description Mechanical Integrity and Quality Assurance (MIQA) Inspector Are you an API-certified inspector who takes pride in protecting people, assets, and operations through world-class mechanical integrity? Do you want to be the technical expert who drives equipment reliability, regulatory compliance, and continuous improvement at a leading manufacturing facility? Arclin is seeking an experienced fixed equipment inspector to perform API (American Petroleum Institute) Authorized Inspector duties and NDE testing methods at our Spruance Site in Richmond, VA. Who We Are: You can find Arclin everywhere. Our technologies make homes and transportation safer, help crops flourish, keep water clean, protect first responders and members of the military, and preserve the purity of essential pharmaceuticals. These vital, everyday products can't fail, and we’re here to give the world an extra layer of performance and peace of mind. With ~4,000 team members across more than 30 global manufacturing facilities, we operate with the scale to make a global impact and the agility to solve complex challenges at the molecular level. Rooted in scientific discovery and innovation, Arclin’s materials redefine performance across industries - from Firepoint®’s patented intumescent technology that helps stall flames and save lives to the iconic Kevlar® and Nomex® brands trusted to protect those who serve, strengthen aerospace and industrial systems, and perform where reliability and safety are top of mind. As we expand our mission‑critical materials portfolio and shape the next era of performance technologies, we’re looking for people who want to grow, lead, and solve the challenges others can’t. Together, we’ll advance the innovations that keep the world moving. Because at Arclin, our people are truly Vital Beyond Measure. Role Snapshot The Mechanical Integrity Inspector is responsible for ensuring the integrity, reliability, and regulatory compliance of pressure vessels, piping systems, storage tanks, and other fixed equipment to support safe and reliable plant operations. This role performs code-compliant inspections, provides technical expertise on equipment repairs and fitness-for-service, supports Mechanical Integrity (MI) and Process Safety Management (PSM) programs, and serves as the site's subject matter expert for applicable industry codes and inspection standards. Core Responsibilities Mechanical Integrity & Inspections • Perform inspections of pressure vessels, piping, storage tanks, and fixed equipment in accordance with company standards and ASME, API, National Board, and regulatory requirements., • Assess equipment condition and determine repair, alteration, or continued service recommendations., • Prepare inspection reports, authorize inspection activities within certification scope, and ensure timely completion of corrective actions., • Support repair planning, fitness-for-service evaluations, and failure investigations. Regulatory Compliance & Owner/User Program • Maintain the site's Owner/User Inspection Program and Quality Assurance Manual., • Ensure compliance with applicable federal, state, and industry regulations., • Coordinate required reporting, certifications, and accreditation activities., • Participate in regulatory, National Board, and Process Safety Management audits. Technical Leadership • Serve as the site's technical resource for mechanical integrity, inspection codes, and industry best practices., • Mentor and develop inspection technicians and junior inspectors., • Evaluate new inspection technologies and recommend continuous improvements to inspection programs. Quality & Contractor Oversight • Coordinate and oversee third-party inspection contractors., • Provide quality assurance support for repairs, alterations, fabrication activities, and vendor inspections., • Maintain inspection documentation and support risk-based inspection initiatives. Safety & Operational Excellence • Promote a strong safety culture by maintaining required safety training, certifications, and inspection equipment., • Maintain qualification for respirator use, confined space entry, and work at heights., • Support continuous improvement initiatives that enhance equipment reliability, operational performance, and regulatory compliance. Qualifications Required • Minimum 3–5 years of mechanical integrity, inspection, or fixed equipment experience in an industrial manufacturing environment., • At least one current API certification (API 510, API 570, or API 653)., • Working knowledge of ASME, API, National Board, and applicable regulatory codes., • Proficiency with Microsoft Office applications., • Strong technical problem-solving, communication, and leadership skills. Preferred • National Board Inservice Inspection Commission (Owner/User) with "R" Endorsement., • UTT Level II and PT Level II certifications., • AWS Certified Welding Inspector (CWI)., • Experience using Meridium Inspection Manager, Thickness Monitoring, and Risk-Based Inspection (RBI)., • Ability to obtain additional certifications required for the role. Physical Requirements • Ability to work at heights, climb ladders, and enter confined spaces., • Ability to wear respiratory protection and pass required visual acuity testing., • Valid driver's license.

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 The role brings in-depth technical, functional, and industry expertise to amplify business development, account management, and thought leadership within CapTech. They will support and participate in solution delivery, and they are the primary interface with the client’s technology and business leaders, providing technical and project leadership. They also are a servant leader to our clients and consultants, providing management consulting on data and analytics, as well as career assistance and mentorship. • Leveraging industry and technical expertise to collaborate with client stakeholders to turn vague concepts into actionable insights, and to maximize the value of client data across the organization., • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps., • Assessing and advocating data management technologies and practices, eliminating gaps between the current state and targeted future state., • Formulating and articulating architectural trade-offs across solution options before recommending a solution, ensuring client technical requirements are met., • Motivating and developing team members through coaching, teaching, empowering, and influencing technical and consulting skills., • Partnering with portfolio team to demonstrate technical capabilities, envision valuable solutions, estimate proposed work plans, and recommend team composition talent to support delivery., • Working in a fast-paced environment, simultaneously supporting internal CapTech initiatives and leading client engagements.Qualifications, • 14+ years of leading large technical teams and projects., • 10+ years of experience implementing a wide variety of on-premises and cloud data management platforms and technologies., • Proven track record of assessing traditional and modern data architectures based on business needs in a consultative approach., • Experience with the modern data stack/platform technologies, products, and approaches., • Delivery experience on multiple cloud platforms (e.g., AWS, Azure, GCP)., • Deep background with integrations and transformations of numerous types of data sources, and the solution delivery of real-time data distribution (e.g., Kafka, Kinesis, Flink), NoSQL (e.g., MongoDB, DynamoDB, Firebase), and warehousing platforms., • History of conducting/implementing strategic data assessments, data governance frameworks, and data quality measurements., • 5+ years of scoping technical engagements within consulting services 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. 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: $120,000 - $200,000. #LI-LM1

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 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 Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Machine Learning Engineer position include: • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs, • Deconstructing client needs into data-driven processes/models and analytical measures., • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP)., • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)., • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements., • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.Qualifications, • Bachelor's degree or equivalent combination of education and experience., • Hands-on experience manipulating and analyzing large (multi-billion record) data sets., • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages., • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting., • Proficiency with containerization (e.g., Docker) and microservices., • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS, • Comfort and proficiency in framing data-driven problems from cross-industry business requirements., • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels), • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision)., • Knowledge of DevOps and automation best practices., • Knowledge of statistics and statistical modeling methods., • Knowledge of model management and model versioning best practices., • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting, • Experience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.), • Experience with multi-agent orchestration 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 Job Title: Cybersecurity Engineer 3 Work Type: Onsite Location: Richmond, VA 23219 Salary/Rate: Up to $104.77/hr Start Date: 09/28/2026 End Date: 06/30/2027 Industry Category: Information Technology / Cybersecurity Employment Type: Contract Requisition ID: 811203 Overview: The Virginia Department of Transportation (VDOT) is seeking a highly analytical and technically proficient Cybersecurity Engineer 3 to support cybersecurity operations and Splunk SIEM capabilities. The position will develop and implement advanced cyber defense solutions, protect agency infrastructure, monitor and analyze security events, investigate threats, and support secure system deployment. Application: Candidates should have extensive hands-on experience with cybersecurity operations, Splunk SIEM, SPL, threat detection, log analysis, incident investigation, and threat hunting. Strong knowledge of networking, firewalls, EDR, cloud platforms, security frameworks, and compliance standards is also required. Job Description: The Cybersecurity Engineer will leverage Splunk Enterprise Security to monitor, detect, analyze, and respond to security events. The role will focus on improving detection capabilities, investigating potential security incidents, developing security use cases, maintaining SIEM data sources, and supporting cybersecurity compliance requirements. Responsibilities: • Monitor network traffic, endpoint logs, and cloud security events for anomalous activity and potential security incidents., • Use Splunk Enterprise Security to monitor, detect, analyze, and respond to security events., • Create, maintain, and tune Splunk correlation searches, alerts, and dashboards., • Develop and optimize SPL queries for security monitoring, threat detection, and investigation., • Investigate potential security incidents and analyze forensic evidence., • Conduct threat hunting to identify malicious activity and indicators of compromise., • Collaborate with IT, network, infrastructure, and security teams to contain and remediate threats., • Develop and refine security detection and response use cases., • Create detection and response playbooks using threat intelligence and security frameworks such as MITRE ATT&CK., • Work with infrastructure teams to onboard new log and security data sources., • Ensure log integrity, parsing, and normalization across the SIEM platform., • Support SIEM data integrations and troubleshooting., • Collect SIEM control evidence for security audits., • Generate compliance and security reports aligned with organizational policies and standards., • Manage multiple security tickets and investigations while maintaining effective communication with stakeholders. Requirements Minimum Qualifications: • 8+ years of hands-on cybersecurity experience, specifically operating, building, and investigating threats within a SIEM or Splunk environment., • 8+ years of experience writing SPL (Splunk Processing Language)., • 8+ years of experience demonstrating critical thinking, problem-solving, and communication skills., • Ability to operate calmly under pressure and manage multiple security tickets., • 8+ years of experience with networking and firewalls., • 8+ years of experience with EDR technologies., • 8+ years of experience with cloud platforms, including AWS, Azure, and/or GCP., • 8+ years of experience with security frameworks such as MITRE ATT&CK., • 8+ years of experience with security compliance standards such as NIST, HIPAA, and/or SOC 2., • Strong experience with log analysis, threat hunting, security monitoring, and incident investigation., • Strong understanding of SIEM technologies and security event management., • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field. Preferred Qualifications: • Splunk Core Certified User certification., • Splunk Core Certified Advanced Power User certification., • Additional Splunk or cybersecurity certifications., • Experience developing Splunk Enterprise Security dashboards, correlation searches, and alerts., • Experience developing security detection and response playbooks., • Experience applying threat intelligence and MITRE ATT&CK-based detection strategies. Benefits Compensation: Pay Rate: $104.77/hr Schedule: Onsite Work Location: Richmond, VA 23219

Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. 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 refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. 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.

Job Description Company Overview: CSI Technology Group has over 30 years of experience designing robust, fully configurable eGovernment software. In this time, the company has matured into a successful software and service provider in the criminal justice, intelligence, prosecutorial, and judicial domains. Moreover, CSI has built extensive expertise in data migration, data analytics, and interfacing across disparate systems. As a customer-first organization, we believe the best measure of ROI is a satisfied customer. For prompt consideration, please go to our company's website: https://www.csitech.com/ To apply, choose About Us - Careers (View Career Opportunities) ========================================== Job Duties: • Support and assist with Day-to-Day Maintenance of a Microsoft Windows AD Infrastructure, Microsoft Azure AD Infrastructure, and Microsoft Windows Server Platform., • Help establish networking environments by reviewing system configuration; assisting with system installation; documenting and enforcing system standards., • Assist in designing and configuring AWS and Azure cloud environment and services to deliver resilient and reliable application infrastructure service to customers., • Manage organization LAN, WAN, servers, storage, compute, identity, and security., • Supports the management of organization's cloud infrastructure, including virtual networks, storage, compute, identity, and security., • Help maximizes network performance by monitoring performance; troubleshooting network problems and outages; scheduling upgrades; collaborating with network architects on network optimization., • Assist in setting up and supporting Virtualization environments., • Assist in setting up and supporting Microsoft SQL Server environments., • Plans and implements of database maintenance and recurring tasks with the SQL Scheduling service., • Performs client consultation: plan, design, documents, implement, and support LAN/WAN networks., • Assists in planning and implementing network security, including maintaining firewalls, developing VPN, remote solutions and maintaining company security policies., • Troubleshoot, maintain, upgrade, and provide solutions to hardware/software problems. Requirements: • Some hands-on experience with server applications in a Microsoft networked environment and high level of Active Directory Management., • Bachelor’s degree in computer/technology related field -or- Equivalent hands-on experience and either an associate degree or Technical schooling., • Basic project management and documentation skills., • High level of initiative and dedication; eagerness to learn and grow in the role. Preferable • Familiar with Windows Server environment, SQL Server, High Performance Cluster, TCP/IP networking desired and Virtualization environment., • Familiar with AWS and Azure cloud services and infrastructures., • Foundational knowledge of MS Windows Server, MS SQL Server, Recovery TCP/IP networking, LAN/WAN, Routing and Switching., • Knowledge of server hardware and strong problem-solving skills., • Exposure to Data Backup and Disaster Recovery plan., • Scripting abilities in PowerShell, Batch commands, etc. Travel Requirements • This role requires travel to client sites in the Richmond area and other locations throughout Virginia at least one day per week., • A valid driver's license and reliable transportation are required; candidates without a valid driver's license will not be considered for this position. Others • This position is eligible for the employee referral program.

Job Description EXECUTIVE HUMAN RESOURCE SERVICE Human Resources Consultants POSITION: Network Architect - TECH#738 JOB CATEGORY: Information Technology INDUSTRY: Information Technology LOCATION: Richmond, Virginia No Relocation Expense Provided JOB LINK: https://www.careers-page.com/executive-human-resource-service/job/RYR8Y786 SALARY: $140K – 150K - Based on Experience QUALIFICATIONS: Although, Individual are encouraged to apply, the Ideal candidate with the following experience will only be considered. Must be US Citizen or Authorized to Work in the United States No Sponsorship Available Requirements for Network Architect • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent experience), • Minimum 15+ years of progressive enterprise networking experience, • Extensive experience serving as a Network Architect or Senior Network Engineer in large enterprise environments, • Proven experience designing enterprise and hybrid cloud networking architectures, • Deep expertise designing highly available enterprise networking infrastructures, • Extensive experience architecting large-scale routing environments, • Experience leading enterprise network modernization and consolidation initiatives, • Strong understanding of enterprise security architecture and network segmentation, • Experience supporting mission-critical production environments, • Demonstrated experience collaborating with executive leadership and cross-functional technology teams Required Technical Expertise • BGP Routing, • Enterprise Routing Design, • Cisco Enterprise Networking, • Cisco Meraki (Full Stack), • Cisco SD-WAN / Cisco Viptela, • Azure Networking, • AWS Networking, • Hybrid Cloud Architecture, • VPN Architecture, • Site-to-Site VPN, • Client VPN, • Cloud Transit Networks, • Hub-and-Spoke Network Design, • Palo Alto Firewalls, • PAN-OS, • Panorama, • Network Segmentation, • Network Security, • High Availability Design, • Disaster Recovery Networking, • ExpressRoute, • AWS Direct Connect, • Virtual Networks (VNets), • Virtual Private Clouds (VPCs), • Routing Policies, • Traffic Engineering, • NAT, • Routing Tables, • Network Performance Optimization Preferred Qualifications • Experience with multi-cloud networking (Azure, AWS, GCP), • Experience leading enterprise network consolidation projects, • Experience supporting global enterprise infrastructures, • Experience working with telecommunications providers and ISPs, • Experience designing secure cloud connectivity solutions, • Experience with enterprise network automation, • Experience within highly regulated environments Required Technical Skills • Cisco Meraki, • Cisco SD-WAN (Viptela) Preferred Certifications** • CCNP Enterprise, • CCIE Enterprise Infrastructure, • PCNSE (Palo Alto Networks Certified Network Security Engineer), • Microsoft Azure Network Engineer Associate (AZ-700), • AWS Advanced Networking Specialty SKILLS: Skills and Abilities Required for Network Architect Enterprise Network Architecture • Expert-level knowledge of enterprise network architecture and design principles, • Advanced understanding of large-scale routing infrastructures, • Deep expertise in BGP routing protocols and traffic engineering, • Strong understanding of OSPF and EIGRP routing protocols, • Ability to architect highly resilient enterprise networking solutions, • Experience designing scalable hybrid cloud networking environments Cloud Networking • Expert knowledge of Azure networking services, • Strong familiarity with AWS networking services, • Experience integrating on-premises infrastructure with cloud environments, • Expertise designing secure cloud connectivity models, • Experience implementing ExpressRoute and Direct Connect solutions, • Knowledge of cloud-native networking best practices Security & Infrastructure • Advanced knowledge of enterprise firewall architecture, • Extensive experience with Palo Alto Networks security platforms, • Strong understanding of network segmentation strategies, • Experience implementing Zero Trust networking principles, • Knowledge of enterprise network security standards and compliance requirements, • Ability to collaborate closely with cybersecurity teams SD-WAN & Enterprise Connectivity • Extensive experience designing Cisco SD-WAN (Viptela) environments, • Advanced knowledge of Cisco Meraki enterprise networking solutions, • Experience supporting multi-site enterprise connectivity, • Ability to optimize WAN performance and resiliency, • Strong understanding of broadband, MPLS, LTE, and carrier technologies CAREER OPPORTUNITY: Executive Human Resource Service is a provider of human resource solutions for organizations of all sizes. We specialize in providing customized services to help businesses effectively manage their workforce development goals. Career Opportunity for Network Architect We are privileged to present an exciting opportunity with an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Are you a network architecture leader who enjoys solving complex enterprise connectivity challenges while influencing technology strategy across a global organization? Why Join the Team? This is an opportunity to influence enterprise technology strategy while designing next-generation networking solutions that support cloud transformation, cybersecurity, and business growth. You'll collaborate with experienced technology leaders, work with cutting-edge networking technologies, and play a key role in building the resilient, secure infrastructure that powers a modern enterprise. If you're passionate about enterprise architecture, cloud networking, and solving complex connectivity challenges at scale, we'd love to connect with you. We are seeking an experienced Network Architect to lead the design, modernization, and optimization of enterprise networking infrastructure across cloud and on-premises environments. This is an outstanding opportunity for a highly skilled networking professional who thrives in designing scalable, secure, and resilient enterprise networks while collaborating with infrastructure, cloud, cybersecurity, and executive leadership teams. This position offers the opportunity to shape long-term networking strategy, modernize enterprise infrastructure, drive cloud transformation initiatives, and architect next-generation networking solutions that support business growth and digital innovation. If you have deep expertise in enterprise routing, cloud networking, SD-WAN, and security architecture—and enjoy influencing technical direction across complex environments—we would welcome the opportunity to speak with you. Position Summary & Overview The Network Architect is responsible for the overall design, architecture, governance, and technical leadership of enterprise networking environments supporting both cloud and on-premises infrastructure. This role serves as the organization's networking subject matter expert, responsible for developing secure, scalable, and highly available networking solutions across Azure, AWS, hybrid cloud, and enterprise data center environments. You will provide architectural leadership for enterprise routing, cloud networking, SD-WAN, firewalls, carrier connectivity, network consolidation initiatives, and business continuity planning while partnering closely with infrastructure, cybersecurity, cloud engineering, and business stakeholders. This position also serves as the highest level of technical escalation for complex networking issues while mentoring engineering teams and establishing enterprise networking standards and best practices. Thank you for taking the time to share this information with your business colleagues. Any inquiries will be held in the strictest confidence. I look forward to hearing from you soon. Send resumes email to: Executive Human Resource Service Website: www.ExecutiveHRService.com Phone: 510-830-9721 Note: Please Reference - Job Title and Job Number CHECK OUT OTHER CAREERS OPPORTUNITIES AT EXECUTIVE HUMAN RESOURCE SERVICE www.ExecutiveHRService.com WE ARE LOOKING FOR EXECUTIVE PROFESSIONALS! Executive Human Resource Services is an Executive Recruiting Consultant Enterprise dedicated to helping professionals in furthering their career goals. Success is attributed to personalized service, with the goal of bringing together qualified business professionals with quality companies. Please check the website frequently for update careers opportunities. We have a variety of opportunities available. Executive Human Resource Service www.ExecutiveHRService.com Phone: 510-830-9721 Also please feel free to pass this information along to your network of business colleagues, and if you are looking or know of business professional within your network that is looking for an Executive Human Resources Consultant Please feel free to send your resume. Executive Human Resource Service www.ExecutiveHRService.com Phone: 510-830-9721 RETURN TO WEB SITE: Executive Human Resource Service www.ExecutiveHRService.com

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 Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: • Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state, • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps, • Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met, • Leading teams of data engineers and other technical team members through design, implementation and best practices., • Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization, • Works to ensure the solutions recommended are providing business value and alignment with client’s strategic goals, • Communication with non-technical executives focusing on value of modern enterprise level data solutions, • Driving innovative technology solutions through thought leadership on emerging trends, • Sharing project solutions and outcomes with colleagues to improve delivery on future projects, • Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent, • Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: • 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies, • Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks, • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python, • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture, • Ability to assess traditional and modern data architectural components based on business needs, • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred QualificationsPrevious consulting industry experience • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Providing thought leadership and internal engagement with leadership and innovation across enterprise, • Participating in providing mentorship and investing talent growth within Data & Analytics practice area, • Awareness and continued education around emerging technologies and skills in data landscape 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. Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths • 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: $120,000 - $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 Description Position Title: AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with travel required. About Cloudelligent Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. Job Objective As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies. Responsibilities • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency., • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation., • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies., • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization., • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications., • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance., • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set., • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making., • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments., • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.Requirements, • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture., • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads., • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI., • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs., • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures., • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management., • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance., • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.Highly Preferred, • AWS Certified Machine Learning – Specialty, • AWS Certified Solutions Architect – Associate or Professional Powered by JazzHR 8VoqQPmF5N

Job Description Tiger Analytics is looking for experienced Senior Consultant/ Manager to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Senior Consultant/ Manager - with strong experience in Python, SQL, Snowflake, and cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment. Key Responsibilities • Partner with business stakeholders to understand and translate business needs into solution requirements., • Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis., • Write efficient SQL queries for data extraction, transformation, and validation., • Familiarity with regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data., • Experience handling large-scale consumer banking, credit risk, or payment processing datasets., • Consume and manage data from AWS S3 and integrate with downstream systems., • Leverage Snowflake for data warehousing, modeling, and performance optimization., • Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders., • Collaborate with cross-functional teams to translate business requirements into data solutions Requirements • Master's degree in Computer Science or any related field, • 7+ years of experience in Data Analytics, preferably within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking., • Strong expertise in SQL for querying and manipulating large datasets., • Proficiency in Python for data analysis and scripting., • Experience with data visualization tools (Power BI, Tableau, Looker, etc.)., • Hands-on with AWS (S3) and Snowflake, • Understanding of banking/financial services data is must have, • Experience working in a client-facing or consulting environment., • Hands-on experience in data analysis, data profiling, and exploratory analysis., • Hands-on experience in analyzing, identifying, and documenting transformation logic and rules., • Excellent teamwork and problem-solving abilities. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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 Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to continuously learn the latest tools and architectures to deliver innovative solutions for our clients. We design, develop, and deliver high-quality enterprise systems, as well as systems integrations and work in a project-based consulting environment. CapTech developers enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Our solutions include API-driven clients, microservice architectures, event-driven integrations, cloud deployments, serverless applications, and web and portal front ends. Specific responsibilities for the Full-Stack Developer position include: • Collaborate with team members and clients to deliver a technical solution that meet the unique needs of our clients, • Create quality deliverables to communicate technical solutions to appropriate audiences, • Leverage CapTech’s internal programs and self-directed training to continually develop industry relevant knowledge and skills, • Understand and implement object-oriented design patterns, • Communicate effectively to team members with varying degrees of technical knowledge, • Provide technical mentoring Qualifications Qualifications • 6+ years of experience designing, developing, and maintaining applications the Microsoft Stack OR Java, • Hands-on experience building and consuming RESTful APIs, including API documentation with Swagger / OpenAPI, • Strong background in database design and development, including SQL Server and NoSQL technologies such as Azure OR AWS OR GCP, • Front-end development experience using JavaScript/TypeScript, HTML, CSS, and modern frameworks/libraries such as Angular, React, or Vue, with working knowledge of UI frameworks like Bootstrap, • 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, • Experience with source control systems (e.g., Git) and collaborative development workflows, • Familiarity with multi-system integrations, distributed systems, and common enterprise integration challenges, • Solid understanding of application performance tuning, scalability, and optimization techniques, • Ability to clearly communicate technical concepts, designs, and solutions to both technical and non-technical stakeholders, • Strong problem-solving skills and a commitment to clean, maintainable, and well-documented code 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. • 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 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 - $190,000. 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.

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 Cloud Architects at CapTech are called upon to perform various responsibilities within CapTech’s Systems Integration practice area, usually in the context of a technology assessment, strategy formation, or a development project performed for a particular client. They often lead a team of developers and collaborate with experienced project managers, analysts, designers, and clients to architect and deliver vital internal and customer facing systems in partnership with a variety of Fortune 500 clients. Typically, CapTech Architects have a broad understanding of many tools, technologies, and products, with some specialization in a few areas. Over time these specialties may change due to industry transformation or a changing client profile, and as such, our architects have the opportunity to get hands-on experience with the latest technologies while working with passionate CapTechers solving complex problems across numerous industries. Specific responsibilities for the Cloud Architect position include: • Position yourself as a trusted advisor to CapTech clients., • Oversee and set the technical direction of client projects, collaborating directly with client staff to define and adhere to architectural standards., • Lead internal teams and act as a Service Offering liaison, • Design, implement, integrate, and support Cloud solutions, • Work closely with clients, subject matter experts and the CapTech team to understand requirements, establish priorities and project scope, and manage expectations and project delivery, • Define the technical and solution architecture for phased software development, • Provide hands-on technical direction to other developers to review code and resolve issues, • Create documents that specify strategy, assessment, or design in a way that delivers obvious value to the client and is understandable by any stakeholder, • Articulate architectural differences between solution methods and the challenges and approaches to integrating solutions built on different platforms, including a working knowledge of architectural frameworks that may be used by our clients., • Apply detailed knowledge of organizational procedures to make independent decisions and serve as a credible resource for the client’s senior management team, • Collaborate with CapTech business development team members during sales efforts to demonstrate CapTech’s technical capabilities, create a vision for a solution that CapTech can build, and produce estimates and work plans Qualifications Specific qualifications for the Cloud Architect position include: • Bachelor's Degree in Computer Science, Information Technology, or equivalent degree and/or experience, • Cloud architecture experience utilizing AWS, Azure, or GCP, • Demonstrated software development experience over 7+ years with a broad range of development tools and technologies, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture., • Ability and desire to lead multiple technical project teams, • Ability to compromise and build consensus on architectural issues, • In-depth experience with some or all of these cloud concepts: Infrastructure as a Service, Serverless Architecture, Container Architecture, Platform as a Service, Storage, Infrastructure as Code, and Identity and Access Management., • Knowledge of the concepts and tools required for effective software development including: Integrated Development Environments, Continuous Integration, Operating Systems (specifically UNIX/Linux), Test-driven Development, SDLC Methodologies including Waterfall, Scrum, XP, Kanban, and SAFe., • Cloud Architecture Certifications recommended but not required., • Extensive knowledge of the concepts and tools required for effective software development including: Integrated Development Environments, Continuous Integration, Operating Systems (specifically UNIX/Linux), Test-driven Development, SDLC Methodologies including Waterfall, Scrum, XP, Kanban, and SAFe. 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. • CapFlex – Employee-first mentality that supports a hybrid workforce and empowers daily flexibility while servicing our clients, • 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. 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-JB1 #LI-Hybrid

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 Description Join S2I2 as an Information Technology Subject Matter Expert (IT SME) specializing in Enterprise Storage Management (ESM). Be at the forefront of designing and securing mission-critical storage and backup solutions for the Defense Logistics Agency (DLA), working with leading-edge technologies in a dynamic, collaborative environment. We are seeking an accomplished IT SME to deliver expert leadership and technical direction for DLA's enterprise storage and data protection platforms, ensuring availability, resilience, and compliance across all environments. Clearance: Active Secret with IT-I (Tier 5) eligibility Work Schedule: On-site, Monday through Friday. Position Overview: Serve as the senior technical lead for DLA's enterprise storage and data protection platforms (NetApp, Pure, Brocade, Cohesity, NetBackup, Azure, AWS). Set architecture direction, lead engineering teams, ensure STIG and IAVA compliance, and regularly brief DLA leadership. Oversee SAN, NAS, object storage, backup, and disaster recovery operations across five DLA sites and multi-cloud environments (Azure, AWS, OCI) on both NIPRNet and SIPRNet networks. Qualifications Required Qualifications: IAT Level II baseline certification (e.g., Security+ CE, CySA+, GSEC, SSCP, CCNA Security, GICSP, or CND) At least one of: AWS Solutions Architect Professional, Azure Solutions Architect Expert, Dell DCA-ISM, NetApp NCDA, NetApp Hybrid Cloud Admin/Architect/Implementation Engineer, NetApp CIE SAN, Cohesity DataProtect, or NetBackup certification Minimum two (2) years in an advisory or managerial role supporting DoD/DoW or Federal enterprise infrastructure Minimum five (5) years of hands-on experience with enterprise SAN (FC zoning, iSCSI, FCoE, HBA/CNA, LUN, RAID, NAS) Minimum five (5) years of hands-on experience with enterprise backup and restore solutions Minimum five (5) years working with DoD or DoW IT systems Desired Qualifications: NetApp and Pure array design and administration Brocade fabric management Cohesity and NetBackup platforms Cloud storage (AWS S3/Glacier, Azure Blob, OCI) Ransomware protection and data immutability best practices Automation using PowerShell, Python, or Bash Windows and RHEL storage administration Oracle and SQL backup and restore procedures

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 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.

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 DescriptionSenior Kafka Administrator/Kong Administrator with DevOps Experience Remote-Contract to Hire Our client is seeking a skilled and experienced Senior Kafka/Kong Administrator to join our client's IT operations team. As a Kafka/Kong Administrator, you will be responsible for the deployment, configuration, maintenance, and monitoring of our Kafka clusters and Kong gateways, ensuring the high availability, reliability, and optimal performance of our real-time platforms. Your role will be crucial in supporting our data engineering and application teams to deliver seamless data integration and processing. Responsibilities: Kafka Administration 1. Cluster Deployment and Configuration: • Deploy and configure Kafka clusters following best practices for scalability, security, and performance., • Collaborate with cross-functional teams to gather requirements and design Kafka infrastructure to meet data streaming needs., • Manage topics, partitions, replication factors, and broker configurations to ensure efficient data distribution and fault tolerance.2. Monitoring and Performance Optimization:, • Implement monitoring and alerting solutions to proactively identify and address performance bottlenecks, resource constraints, and anomalies., • Conduct regular performance testing, load testing, and capacity planning to ensure clusters can handle anticipated workloads.3. High Availability and Disaster Recovery:, • Design and implement high-availability strategies, including failover mechanisms and data replication across multiple data centers or cloud regions., • Develop and maintain disaster recovery plans and procedures to minimize data loss and downtime in the event of failures.4. Security and Compliance:, • Implement and manage security measures such as encryption, authentication, and authorization to ensure data privacy and compliance with industry standards., • Stay updated on security vulnerabilities and patches, applying necessary updates to maintain a secure Kafka environment.5. Troubleshooting and Issue Resolution:, • Diagnose and resolve Kafka-related issues, including performance degradation, data loss, and connectivity problems., • Collaborate with development and data engineering teams to troubleshoot consumer/producer application integration with Kafka.6. Documentation and Knowledge Sharing:, • Maintain thorough documentation of Kafka configurations, deployment processes, and troubleshooting procedures., • Provide training and knowledge sharing sessions to junior team members and other stakeholders.7. Collaboration and Communication:, • Collaborate with cross-functional teams, including data engineers, developers, and system administrators, to ensure smooth integration of Kafka into our data ecosystem., • Communicate effectively with stakeholders to provide updates on Kafka performance, maintenance, and improvements.8. Certification as a Confluent Certified Administrator for Apache Kafka (CCAAK) preferred. Responsibilities: Kong Administration • Hands on experience installing and configuring Kong API Gateway as well as integration with existing API frameworks., • Describe and configure dataplane security using RBAC, Roles, Workspaces and Teams, • Configure upstreams and load balancing, • Create Services, Routes, and Consumers2. Experienced in the Kubernetes platform, • Working knowledge of Kong Ingress with Kubernetes\Dockers3. Excellent knowledge of API design standards, patterns, and best practices especially with OpenAPI 2.0, REST, JSON, XML. 1. Troubleshoot problems on Kong Gateway • Distinguish between downstream and upstream networking issues, • Collecting troubleshooting/debug information, • Using log files and health and traffic metrics5. Deep understanding of JWTs and their usage. 1. Preferred certification in Kong Gateway Certified Associate (KGCA), 2. 5+ years of experience with monitoring and troubleshooting. Should be able to monitor and debug platform or application issues. • Use Kong Vitals to monitor Kong Gateway’s health and performance, • Pull metrics using Vitals API Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience)., • 5+ years of hands-on experience in administering Apache Kafka clusters in production environments., • 5+ years proficiency in Kafka/Kong architecture, installation, configuration, and tuning., • Strong understanding of Kafka internals, including topics, partitions, replication, and consumer/producer APIs., • 5+ years of experience with Kafka ecosystem tools such as Kafka Connect, Kafka Streams, and Schema Registry., • Knowledge of Linux systems and shell scripting., • Strong DevOps background., • 5+ years of familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes), • Excellent problem-solving skills and the ability to troubleshoot complex issues efficiently., • Strong communication skills and the ability to work collaboratively in a team environment.

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 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 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 Mulesoft Architect at CapTech are part of a capable, highly motivated community who strive to continuously learn the latest tools and architectures to deliver innovative solutions for our clients. We design, develop, and deliver high-quality enterprise systems, as well as systems integrations and work in a project-based consulting environment. CapTech Consultants enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Our solutions include API-driven clients, microservice architectures, event-driven integrations, cloud deployments, serverless applications, and web and portal front ends. Specific responsibilities for the Mulesoft Architect position include: • Collaborate with team members and clients to deliver a technical solution that meet the unique needs of our clients., • Partner with clients on cross‑functional, team‑based projects to deliver scalable Mulesoft solutions across the full Software Development Lifecycle (SDLC) using Agile methodologies, • Serve as a trusted technical advisor, managing architectural scope while aligning technical solutions with business goals, • Communicate effectively with both technical and non‑technical stakeholders, setting clear expectations and guiding decision‑making, • Create quality deliverables to communicate technical solutions to appropriate audiences., • Leverage CapTech’s internal programs and self-directed training to continually develop industry relevant knowledge and skills., • Communicate effectively to team members with varying degrees of technical knowledge., • Demonstrate technical thought leadership by contributing to architectural standards, best practices, and reusable accelerators, • Mentor architects and developers through architecture reviews, communities of practice, and ongoing knowledge sharing, • Participate in technical pre‑sales activities, including solution design, estimations, and delivery scoping for prospective clients, • Gain exposure to a variety of clients, business models, and industry verticals Qualifications Specific qualifications for the Mulesoft Architect position include: • Experience with MuleSoft 4.x at a high architectural level, • Project experience with MuleSoft Integrations, • 10+ years software development experience, • Extensive knowledge of Integration patterns, • Experience creating Mule applications in Anypoint Studio, • Ability to design APIs and publish to Anypoint Exchange, • Familiarity with designing APIs in RAML, • Applied knowledge of API Development using REST and/or SOAP, • Experience integrating Enterprise applications such as Salesforce, SAP, Workday, Oracle ERP, • Familiarity with microservice architectures, design patterns, and monitoring tools, • Experience with cloud providers such as Azure, AWS, and/or GCP a plus, • Experience with relational database technologies, both traditional and current (NoSQL), • Experience with the CI/CD pipeline, • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settingExperience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc), • Experience with vibe coding and multi-agents, • Demonstrated experience in enterprise security practices 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. 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. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. 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.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses. Key Responsibilities: • Lead the design and development of scalable batch and real-time data pipelines using Python and SQL., • Design and implement data solutions on AWS, Azure, or GCP., • Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies., • Develop and optimize real-time and event-driven streaming applications., • Design data models and structures supporting enterprise data warehouses and analytics platforms., • Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift., • Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost efficiency., • Lead technical discussions, design reviews, and provide guidance to other data engineers., • Collaborate with architects, product teams, application developers, and business stakeholders to translate requirements into scalable data solutions., • Establish engineering best practices around code quality, testing, deployment, monitoring, and data quality Requirements • 10+ years of experience in application/data engineering using Python and SQL., • 5+ years of experience working with at least one major public cloud platform: AWS, GCP, or Azure., • 5+ years of experience with distributed data processing technologies such as Spark, Kafka, Hadoop, EMR, MapReduce, or equivalent., • 5+ years of experience building and supporting real-time data and streaming applications., • 5+ years of experience with cloud data warehouses/platforms such as Snowflake, Databricks, or Redshift., • 5+ years of experience with data modeling for data warehousing and analytics., • Strong understanding of data engineering, distributed computing, data pipelines, and cloud architecture., • Strong problem-solving and communication skills with the ability to provide technical leadership. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency. The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making. WHAT YOU WILL DO • Design, build, and maintain the Cloud Economics team's data pipelines and automation systems., • Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights., • Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data., • Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders., • Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization)., • Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights., • Ensure data quality, validation, and auditability across end-to-end data workflows. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 4+ years of experience in Data Engineering roles., • Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments., • Strong SQL and Python., • Experience with orchestration tools such as dbt, Airflow, or Dagster., • AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora., • Experience with Snowflake., • Strong data modeling and large-scale data processing experience., • Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations., • Demonstrated ability to optimize data pipelines for performance and cost., • Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines., • Upper-intermediate English level. NICE TO HAVES • Scala experience., • FinOps Foundation Certification (Practitioner or Engineer)., • Experience with cloud cost optimization, tagging strategies, or cost monitoring., • Experience with AWS and GCP. Experience with Datadog., • Background in data platform or shared infrastructure engineering. PERKS AND BENEFITS • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities., • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands., • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Job Description Enterprise Solutions and Management (ESM) is a rapidly growing government contractor that provides strategic IT services that meet mission needs for Defense and Federal customers. We are hiring an Information Technology Subject Matter Expert to support an enterprise-level program within a federal environment. Job Description and Responsibilities Information Technology Subject Matter Expert serves as an MIS Manager responsible for designing, developing, and implementing risk assessment and business continuity frameworks across a large, decentralized organization. Provides technical expertise and customer support for enterprise applications, automation solutions, open systems, and client/server environments, including multilingual, multiplatform, and multi-operating system infrastructures. Analyzes data processing and system requirements, plans system installations and upgrades, and develops applications leveraging Internet protocols and platforms. Evaluates emerging technologies and recommends solutions to meet business and operational needs. Designs, integrates, and troubleshoots network infrastructure, including routers, switches, routed networks, Frame Relay, static and dynamic routing, Ethernet and Token Ring topologies, network discovery, polling, and Cisco and 3Com technologies. Required Knowledge, Skills and Abilities (KSA) • Enterprise storage and data protection: In-depth experience with SAN, NAS, Object Storage, Cohesity, NetBackup, NetApp, and Pure Storage., • Cloud storage and backup: Experience with AWS S3/Glacier, Microsoft Azure Blob/Backup, OCI, and related industry certifications., • DoD experience: Minimum 5 years of hands-on experience supporting DoD IT systems., • Storage architecture and disaster recovery: Minimum 3 years designing, deploying, and managing enterprise storage, storage topologies, backup, and disaster recovery solutions., • Storage networking: Strong knowledge of Fibre Channel/Brocade, iSCSI, FCoE, NFS, SMB/CIFS, routing, security, and backup replication networks., • Data protection and cybersecurity: Expertise in ransomware mitigation, immutability, encryption, DISA STIGs/IAVAs, risk mitigation, and audit support., • Project leadership: Proven ability to lead storage and data protection projects through design, implementation, migration, and sustainment while managing and mentoring technical teams., • Troubleshooting and optimization: Ability to diagnose complex storage performance and backup issues, identify root causes, and implement timely solutions., • Automation and scripting: Hands-on experience with storage/backup automation, IaC, PowerShell, Python, Bash, and automated provisioning and capacity management., • Operating systems and databases: Proficiency with Windows and RHEL storage management, including volume management, storage presentation, MPIO, backup agents, and backup/restoration of Oracle, SQL, and other enterprise databases., • Communication and documentation: Excellent ability to communicate technical concepts, collaborate across teams, and develop project plans, status reports, DR runbooks, job guides, and technical documentation. Desired KSA • Be a positive, self-motivated, and proactive person with the ability to adapt to change and tolerate stressful situations, • Candidate must communicate effectively with team members, team lead, management, and government customers, • Must have the ability and desire to research and develop creative solutions to unique problems with minimal supervision Minimum Training, Education, and Certifications • Two (2) years' experience in an advisory/managerial position supporting DoW or Federal enterprise infrastructure. This includes evaluating, manufacturing, and integrating enterprise-level storage and backup software technologies., • Five (5) years hands-on experience with enterprise SAN (Storage Area Network) management to include capabilities and technologies such as: Fiber Channel zoning, iSCSI, FCoE (Fiber Channel over Ethernet) unified fabric, HBA/CNA (Host Bus Adapter/Converged Network Adapter), storage controllers, and LUN (Logical Unit Number), RAID (Redundant Array of Independent Disks), and file sharing / NAS (Network Addressable Storage). Hands-on experience with enterprise hierarchical storage system management; operation of enterprise backup/restore services, using software such as Cohesity DataProtect., • Five (5) years hands-on experience working with Department of War (DoW) IT systems., • DOD 8140 baseline certification - IAT Level II, • Computing Environment certification: AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert or relevant certification. Minimum Clearance • Top Secret Physical Requirements • Required to stand, walk and sit; communicate verbally both in person and by telephone; use hands to finger, handle or feel objects or controls; reach with hands and arms. Regularly required to stoop, kneel, bend, crouch and lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus., • Physical demands associated with this position include extensive walking (including stairs) throughout offices and between buildings. May require use of public transportation, personal or Government vehicle to drive to local and/or remote office locations. Additional Requirements • Other duties as assigned ESM provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin or ancestry, disability, genetic information, veteran status, gender identification or any other characteristic protected by state, federal or local law.

Job Description VDOT is seeking a highly skilled Configuration Manager with ITIL certification to join our IT Service Management team. This role is responsible for establishing, governing, and continuously improving the Configuration Management process. VDOT is seeking a highly skilled Configuration Manager with ITIL certification to join our IT Service Management team. The Configuration Manager is responsible for establishing, governing, and continuously improving the Configuration Management process within the ITSM framework. This role ensures accuracy, integrity, and traceability of Configuration Items (CIs), enabling effective incident, change, problem, and asset management. The Configuration Manager maintains the CMDB (Configuration Management Database), enforces process compliance, and partners with technical teams to ensure reliable service delivery. This role is critical in ensuring that our configuration management processes are thorough, efficient, and aligned with ITIL best practices. This role will be responsible for collaborating across functional areas to maintain the integrity of our Configuration Management Database (CMDB), supporting change management, and driving continuous improvement across IT services. An ideal candidate will have extensive experience integrating and managing Azure resources within a third party CMDB. Key Responsibilities Develop, implement, and maintain configuration management policies and processes in line with ITIL standards and Commonwealth of Virginia (COV) policy. · Own and manage the CMDB, ensuring accuracy, completeness, and compliance. · Collaborate with Change, Incident, and FinOps teams to ensure seamless service delivery. · Define and enforce policies for configuration item (CI) identification, control, and reporting. · Work closely with Infrastructure, Network, Security, and Application teams to gather and maintain CI information. · Monitor and audit configuration data to ensure quality and reliability. · Establish and track KPIs/metrics for Configuration Management maturity and CMDB health. · Provide leadership and guidance to IT teams on configuration management best practices. · Support IT governance, risk, and compliance initiatives. Qualifications · ITIL Foundation certification (Intermediate or Expert level preferred). · Proven experience in Configuration Management within an ITIL environment. · Proven experience in Configuration Management within an Azure environment. · Strong knowledge of Ivanti Neurons for ITSM · Strong understanding of ITIL v3/v4 processes—especially Configuration, Change, Incident, and Problem Management. · Hands-on experience with a CMDB tool- Ivanti Neurons for ITSM including CI class modeling and discovery tools. · Excellent analytical, problem-solving, and documentation skills. · Ability to work collaboratively across technical and business teams. · Strong communication and stakeholder management skills. Preferred Skills · Experience with automation tools for configuration management. · Familiarity with cloud environments (Azure, AWS, GCP). · Knowledge of automation, discovery tooling, and scripting (e.g., PowerShell, Python). · Familiarity with audit and compliance frameworks · Knowledge of COV policies and standards.

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 The Opportunity: CapTech is seeking a SaaS platform engineer to play a hands-on role in the engineering, administration, and evolution of our enterprise application ecosystem. This is not a traditional “support-only” role. You will serve as a technical owner and subject matter expert for critical SaaS and cloud platforms, driving automation, security, scalability, and user experience improvements across the organization. You’ll partner closely with ITOperations, InfoSec, and Business teams to design solutions that scale and you’ll have the autonomy to influence tooling, architecture, and operational standards. If you enjoy deep technical problem-solving, building elegant automation, and improving how modern enterprises actually work, this role offers meaningful scope and visibility. What You’ll Do: • Act as a technical owner for a portfolio of SaaS and select on‑premises platforms supporting CapTech employees, • Evaluate, pilot, and implement AI-enabled tools that improve productivity, support, and operational insight, • Design, implement, and continuously improve application configurations, integrations, and access models, • Lead automation initiatives (AI Agents, PowerShell, APIs, workflows) to streamline provisioning, access management, audits, and operational processes, • Serve as a subject matter expert for the Microsoft ecosystem (M365, Entra ID, Power Platform, Intune, Copilot), • Design and manage SSO integrations using SAML and OIDC, ensuring secure and consistent access patterns, • Partner with Security and IT Leadership to enforce least‑privilege access, governance controls, and audit readiness, • Influence change management practices aligned with ITIL, balancing agility and stability, • Analyze trends, risks, and usage patterns across platforms to inform roadmap decisions Qualifications Experience & Expertise: • Experience supporting and administering complex cloud-based SaaS environments in professional or enterprise settings, • Demonstrated ability to operate as a trusted technical advisor and escalation point, • Experience administering:, • Microsoft 365 (including Entra ID, Power Platform, Intune, and Copilot), • Azure, AWS, and Google Cloud Platform, • Platform configurations across a diverse portfolio of SaaS solutions, • Strong PowerShell scripting skills, • Comfort working in macOS and Windows CLI environments, • Understanding of identity, authentication, and authorization models, • Proven ability to gather requirements, author clear documentation, and translate business needs into workable technical solutions Mindset & Approach: • Customer-focused, but systems-minded—you fix root causes, not just symptoms, • Comfortable operating with autonomy and accountability, • Curious about AI, automation, and emerging tools—and pragmatic about applying them responsibly, • Strong communicator who can engage effectively with both technical and non-technical stakeholders 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. • 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. 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: $90,000-$125,000.

Job Description We’re hiring a Head of AI Product & Architecture Consulting! Employment Type: Full-Time/Direct Hire Location: Richmond, VA, Atlanta, GA, Washington, DC, New York City & Charlotte, NC Metro Areas Location Type: Hybrid - 1-2 days onsite per week - Home Office/Local Ippon office About Ippon: The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, DevOps, Data, AI, and Software Engineering. Expanding partnerships is the top priority in our strategy, and we are proud to be a Premier Snowflake Partner and an Advanced AWS Partner. Ippon stands out through its financial services industry expertise, technical excellence, and a distinctive coaching mindset. About the position: The Practice Head of AI Product & Architecture will lead Ippon's APA practice, combining deep expertise in software development, product engineering, agile delivery, architecture, and applied AI. This role is responsible for growing a high-performing consulting team, shaping the practice's methods and offerings, and ensuring delivery excellence across complex client engagements. The ideal candidate is a proven leader with strong consulting instincts and a track record of delivering meaningful technology outcomes. They bring deep grounding in modern engineering practices and software craft, alongside hands-on AI experience — applied practically across product development, software delivery, customer experiences, and enterprise operations. Roles and Responsibilities: Practice Leadership & Team Development Lead and grow the practice across people, offerings, delivery standards, and market positioning. Continuously improve consulting methods, delivery playbooks, technical standards, and ways of working in collaboration with Customer Success and Senior Leadership. Build a strong team culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption — with an emphasis on psychological safety, accountability, and measurable improvement. Recruit, develop, coach, and retain high-performing consultants, engineers, architects, product leaders, and delivery practitioners. Delivery Excellence Provide senior oversight across client engagements involving software development, product engineering, AI-enabled delivery, modernization, and architecture. Ensure solutions are maintainable, secure, scalable, and aligned to client outcomes, promoting modern practices such as continuous delivery, test automation, observability, and platform thinking. Use metrics such as DORA, flow metrics, and business outcome measures to drive evidence-based improvement. Help clients adopt flexible, sustainable delivery models that balance speed, governance, quality, and business value — coaching cross-functional teams on effective collaboration across product, engineering, architecture, security, and compliance. AI Leadership In collaboration with the CTO, shape APA's approach to applied AI across product engineering, software development, architecture, and delivery transformation. Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency. Guide teams in the responsible use of AI-assisted development tools, agentic workflows, and intelligent applications, with clear understanding of associated risks including governance, security, privacy, and regulatory considerations. Partner with Ippon's data and cloud leaders to connect APA's AI capabilities with strengths in AWS, Snowflake, and data architecture. Client and Thought Leadership Support sales pursuits, proposals, and executive conversations — translating ambiguous client needs into clear engagement strategies, delivery plans, and measurable outcomes. Act as a trusted advisor to senior client stakeholders at the intersection of product, engineering, architecture, data, cloud, AI, and governance. Define and package APA offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence. Drive brand awareness through thought leadership initiatives including events, blogs, white papers, and client success stories. Competencies we are looking for: Minimum Qualifications: 5+ years of consulting experience 5+ years of experience leading software engineering, product engineering, architecture, or technology consulting teams. 5+ years of experience building, managing, coaching, and growing high-performing technical teams. 7+ years of experience and deep understanding of modern software development practices, including software architecture, software craft, DevOps, CI/CD, testing strategies, and cloud-native delivery. 7+ years of experience with product development and product-oriented ways of working. Strong working knowledge of agile delivery practices, with the judgment to adapt methods to fit client context rather than applying process mechanically. Hands-on experience with AI tools, AI-enabled software development, intelligent applications, or applied enterprise AI use cases. 7+ years of experience in financial services, banking, insurance, capital markets, or related regulated industries Excellent organizational skills, including the ability to manage people, priorities, offerings, delivery quality, and practice operations simultaneously. Strong client-facing communication skills, including the ability to engage credibly with executives, product leaders, engineering leaders, architects, and delivery teams. Experience supporting business development, proposal creation, solution design, or account growth in a consulting environment. Ability to travel up to 20% of the time Preferred Qualifications: Bachelor's degree in Computer Science or a related field Experience leading a consulting practice, capability, center of excellence, or large technology delivery organization. Experience using DORA metrics, SPACE, flow metrics, or other engineering effectiveness frameworks to improve delivery performance. Experience with AI-assisted development tools, agentic workflows, LLM-enabled applications, or enterprise AI governance. Familiarity with AWS, Snowflake, modern data platforms, and cloud-native architecture. Experience with modernization programs, legacy system transformation, platform engineering, or large-scale digital product delivery. Experience creating market-facing offerings, white papers, executive presentations, workshops, and assessment frameworks. Understanding of regulatory requirements and compliance standards (e.g., GDPR, HIPAA) within the Financial Services and Insurance industries. Knowledge of IT strategy and management Demonstrated experience of presenting talks at conferences, publishing white papers, and public speaking. What we offer: Competitive salary – Great starting salaries for well qualified candidates Generous Paid Time Off policy - Ippon offers flexible time off to help you be your best Health, dental, and vision insurance – We are dedicated to helping our employees live healthier lives through comprehensive health programs 401k with company match - Ippon offers an industry leading 401(k) matching plan Family Leave - We support the importance of family and offer maternity, paternity and family medical leave plans The chance to work in a startup-esque environment with a fun, smart, and healthy work environment, focused on our values, teamwork, and 5406 custom Slack emojis Salary range listed is base salary. Role is eligible for a company performance bonus, as well as MBO's. We value the diversity and different perspectives each of our employees bring to Ippon Technologies. Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran, or disability status. Visit us on LinkedIn or at https://ipponusa.com/ to learn more. So, do YOU speak Ippon?