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AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 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 Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 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 Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.

Job Description Job Description Why Join Ford AV? For over 50 years, Ford AV has helped shape how people experience spaces-through sound, video, and innovation. We work with leading businesses, universities, and public institutions across the U.S. to bring technology to life. At Ford AV, you'll find: Real opportunities to grow your skills and your career Hands-on training and industry certifications A steady, supportive team environment Competitive pay, full benefits, and 401(k) match Description As a Job Superintendent, you'll take ownership of commercial AV installation projects, ensuring they are executed seamlessly from start to finish. You'll provide leadership on-site, aligning teams, timelines, and resources to deliver high-quality results. In this role, you'll serve as the central point of accountability, balancing client expectations, safety, and technical excellence to keep projects moving forward successfully. Oversee commercial AV installation projects from planning to completion Lead and motivate field technicians, manage schedules, and enforce safety Interpret blueprints and schematics; ensure technical accuracy Maintain project documentation, tool inventory, and equipment safety Act as the key on-site contact for quality and client satisfaction Qualifications Experience managing commercial construction or AV installations Ability to read technical plans and operate hand/power tools Strong leadership and communication skills OSHA 30 and/or CTS certifications preferred Ability to travel and work at heights and construction sites Preferred Qualifications: OSHA 10 or OSHA 30; CTS or CTS-I; BICSI, NCET, PMP, or manufacturer certifications such as Crestron, Extron, Biamp, QSC, Shure, Cisco, Poly, or Zoom. Experience in commercial construction, electrical construction, telecommunications, security systems, access control, CCTV, network cabling, fiber optics, unified communications, building automation, smart building technology, or fire alarm systems. Apply Today Start your AV career with a team that values your skills and supports your growth. Apply at: Drug-Free Workplace Ford is committed to maintaining a drug-free workplace and, therefore, all employees are subject to drug testing. Moreover, pre-employment, random, reasonable suspicion and/or post-accident drug testing may be conducted in accordance with company policy and all applicable laws to ensure a safe and healthy work environment. All applicants for this position tentatively selected for employment at Ford are subject to pre-employment drug testing and a final offer of employment is contingent upon a negative drug test result. EOE/AA/M/F/D/V. Physical Requirements The combination of physical and mental requirements is necessary for completing the responsibilities, essential functions, and meeting the demands of the role. The employee must have the ability to lift and move objects weighing up to 50 pounds, climb ladders up to 20 feet tall, and work in extreme weather conditions, including hot and cold temperatures. They may also be required to work in dusty or unclean environments, confined spaces, and on uneven surfaces. Safety is paramount, necessitating effective communication with colleagues and constant alertness to surroundings. The employee will be frequently required to stand, walk, reach, climb, and perform tasks that involve stooping, kneeling, crouching, or crawling. Additionally, the job may require long hours, night shifts, weekend work, and holiday commitments, including extensive travel for weeks at a time. The employee must be able to apply established protocols in a timely manner to meet deadlines and effectively communicate to successfully perform all required responsibilities. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects.

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Testing Technician is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 0-1 years of experience in wiring or assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 year of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required . Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility : Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity : Occasional use of hands to handle or feel objects, tools, or controls. Lifting : Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements : Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PIb663a562e23c-3504

Job Description Job Description Full-time Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Tester is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 1-2 years of experience in wiring and assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 years of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required. Values Safety Focus : Prioritize safety in all actions. Actively follow safety protocols, identify potential hazards, and take immediate steps to correct or report unsafe conditions. Model safe behavior for others and contribute to a culture of workplace safety. Have Humanity : Respect the input and ideas of everyone to create the best possible outcome. Be Transparent : Value transparency in all interactions, ensuring honesty and openness with each stakeholder. Drive Innovation : Seek new ways to improve and take on new challenges. Be Resilient : Adapt to the ever-evolving business needs enabled by resourcefulness and agility. Always Reliable : Deliver on your commitments and achieve your goals. Show up to work on time and complete your assigned tasks. Grit: Learn new things, actively seek feedback, and training. Ownership Mindset: Take full responsibility for the quality and efficiency of your work. Proactively identify issues, offer solutions, and follow through. Treat company resources and goals as your own Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility: Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity: Occasional use of hands to handle or feel objects, tools, or controls. Lifting: Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements: Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we dont accept unsolicited resumes from agencies at this time. If we ever need an extra hand, well be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC). PI17f5-

Job Description Job Description Why Join Ford AV? For over 50 years, Ford AV has helped shape how people experience spaces-through sound, video, and innovation. We work with leading businesses, universities, and public institutions across the U.S. to bring technology to life. At Ford AV, you'll find: Real opportunities to grow your skills and your career Hands-on training and industry certifications A steady, supportive team environment Competitive pay, full benefits, and 401(k) match Description As a Job Superintendent, you'll take ownership of commercial AV installation projects, ensuring they are executed seamlessly from start to finish. You'll provide leadership on-site, aligning teams, timelines, and resources to deliver high-quality results. In this role, you'll serve as the central point of accountability, balancing client expectations, safety, and technical excellence to keep projects moving forward successfully. Oversee commercial AV installation projects from planning to completion Lead and motivate field technicians, manage schedules, and enforce safety Interpret blueprints and schematics; ensure technical accuracy Maintain project documentation, tool inventory, and equipment safety Act as the key on-site contact for quality and client satisfaction Qualifications Experience managing commercial construction or AV installations Ability to read technical plans and operate hand/power tools Strong leadership and communication skills OSHA 30 and/or CTS certifications preferred Ability to travel and work at heights and construction sites Preferred Qualifications: OSHA 10 or OSHA 30; CTS or CTS-I; BICSI, NCET, PMP, or manufacturer certifications such as Crestron, Extron, Biamp, QSC, Shure, Cisco, Poly, or Zoom. Experience in commercial construction, electrical construction, telecommunications, security systems, access control, CCTV, network cabling, fiber optics, unified communications, building automation, smart building technology, or fire alarm systems. Apply Today Start your AV career with a team that values your skills and supports your growth. Apply at: Drug-Free Workplace Ford is committed to maintaining a drug-free workplace and, therefore, all employees are subject to drug testing. Moreover, pre-employment, random, reasonable suspicion and/or post-accident drug testing may be conducted in accordance with company policy and all applicable laws to ensure a safe and healthy work environment. All applicants for this position tentatively selected for employment at Ford are subject to pre-employment drug testing and a final offer of employment is contingent upon a negative drug test result. EOE/AA/M/F/D/V. Physical Requirements The combination of physical and mental requirements is necessary for completing the responsibilities, essential functions, and meeting the demands of the role. The employee must have the ability to lift and move objects weighing up to 50 pounds, climb ladders up to 20 feet tall, and work in extreme weather conditions, including hot and cold temperatures. They may also be required to work in dusty or unclean environments, confined spaces, and on uneven surfaces. Safety is paramount, necessitating effective communication with colleagues and constant alertness to surroundings. The employee will be frequently required to stand, walk, reach, climb, and perform tasks that involve stooping, kneeling, crouching, or crawling. Additionally, the job may require long hours, night shifts, weekend work, and holiday commitments, including extensive travel for weeks at a time. The employee must be able to apply established protocols in a timely manner to meet deadlines and effectively communicate to successfully perform all required responsibilities. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects. Company Description Ford Audio Video (Ford AV) is a premier AV integrator specializing in the design, installation, and service of sound, audio-video, network infrastructure, and security systems for industries including business, education, healthcare, government, entertainment, and more. Founded in 1973, Ford AV operates nationwide with over 600 employees and offices in major U.S. cities. We deliver enterprise-level solutions for environments like stadiums, airports, corporate offices, healthcare facilities, and houses of worship, with expertise in digital signage, video walls, sound systems, videoconferencing, and intricate lighting systems for performance halls. Recognized as one of the top AV integrators in the country, Ford AV has completed some of the largest and most complex projects for clients such as ExxonMobil, AT&T, Apple, and the U.S. House of Representatives. Our digital systems, managed by custom software developed by in-house engineers, are known for their reliability and performance. Ford AV has also designed and installed critical systems for telecommunication providers and military command centers, making us a trusted partner for high-stakes projects across the globe. Learn more about our work on our company page under Ford AV Projects.

Job Description Job Description Protect what matters most. Join our team to implement and enhance security solutions that safeguard critical systems, data, and infrastructure while driving innovation across the organization. We've been recognized by Newsweek and Plant-A Insights Group as one of America's Most Admired Workplaces for 2026! As an employee recently said, "I feel I have a lot of support. I feel like part of the team." Position Summary: The primary purpose of the Senior Security Engineer is to harden and protect the Company's Windows and Microsoft 365 infrastructure across all Communities and corporate locations. This is a hands-on engineering role focused on Active Directory and Entra ID security, privileged access, endpoint protection, patch and exposure management, and security monitoring, with the CrowdStrike Falcon platform as the principal toolset, and delivers the technical work in the Company's security plan. Education/Qualifications: Must have a bachelor's degree in Cybersecurity, Information Systems, Computer Science, or a related field of science or learning, or must acquire advanced knowledge, which is predominantly intellectual in character and requires the consistent exercise of discretion and judgment, through a demonstrated equivalent combination of prolonged education and progressive work experience pertaining to specialized intellectual instruction for the skills of the position. Seven (7) or more years of progressive experience in systems or security engineering in a Windows enterprise environment, including at least three (3) years in a role with security as the primary responsibility. CrowdStrike Certified Falcon Administrator (CCFA) is required at hire or must be obtained within six (6) months of hire. One (1) or more of the following is preferred: CrowdStrike Certified Falcon Responder (CCFR), Microsoft SC-200 or SC-300, GIAC GCAD, SSCP, or similar. Must have a valid driver's license and the ability to travel occasionally to Communities and corporate locations. Hands-on experience hardening Active Directory and Windows Server, including Group Policy, Credential Guard, LSA Protection, Windows LAPS, and NTLM restrictions. Experience implementing privileged access controls, including tiered administration, role-based access, privileged access workstations, and jump hosts. Hands-on experience administering the CrowdStrike Falcon platform in production, including sensor deployment and health, host and prevention policy groups, and detection exclusions. Experience with Falcon Identity Protection, Falcon Next-Gen SIEM, or the Falcon Complete managed service is strongly preferred. Experience securing Microsoft 365 and Entra ID, including Conditional Access, multi-factor authentication enforcement, and privileged role management. Experience deploying endpoint security configuration at scale through Intune or Group Policy, including Defender Attack Surface Reduction rules and Tamper Protection. Experience running patch and vulnerability management across a Windows enterprise, including operating system and third-party application patching through Intune, WSUS, or Configuration Manager, vulnerability scanning, and risk-based remediation tracked against defined timelines. Experience with CrowdStrike Falcon Exposure Management is strongly preferred. Experience working with a managed detection and response or managed SOC provider on alert triage, escalation, and incident response. Experience with PKI implementation and administration. Previous experience in a healthcare or other HIPAA-regulated environment, and in a multi-site environment, is preferred. Experience with SIEM detection engineering, and with backup immutability and restore testing, is preferred. Roles and Responsibilities: Lead hardening of identity and privileged access. Lock down Active Directory and Windows Server (Credential Guard, LAPS, NTLM restrictions), tighten service accounts, and enforce MFA across VPN and RDP. Own the CrowdStrike Falcon platform end to end. Deploy, tune, and maintain EDR, Identity Protection, and Next-Gen SIEM across all endpoints and servers, including tailored policies for clinical workstations and medication carts. Build detections that catch real threats. Create alerts for lateral movement, credential misuse, and data exfiltration, and act as the technical partner to our managed detection and response provider during triage and incident response. Run patch and exposure management. Drive a staged patching program for operating systems, applications, and firmware, and prioritize vulnerabilities by exploitability and business impact using Falcon Exposure Management. Protect sensitive data and keep recovery reliable. Audit file share and SharePoint permissions, specify egress controls against unauthorized uploads, and help make backups immutable with tested restores. Balance security with resident care. Work with clinical leaders, Community staff, and vendors so controls protect the organization without disrupting care, including onsite visits to Communities. Advantages: Make a Difference - Be part of a team that strengthens AI processes to ensure and support quality resident care. Comprehensive Benefits - Health, dental, vision, and retirement plans. Generous PTO - Work-life balance with paid time off and holidays. Team-Oriented Culture - Work with dedicated professionals who value excellence. Stability - Join an organization with a proven track record in skilled nursing care. Benefits and Perks : Benefit eligibility the first of the month following 30 days Comprehensive benefit packages including medical, dental, and vision, and more. Health Savings Account available with employer contribution. 401K through Fidelity Employer-paid life insurance (FT employees) Robust Employee Assistance Program Generous Paid Time Off (PTO) Educational, leadership, and tuition opportunities Various discount programs offered, including discounted childcare programs through Kindercare Wellness programs offered through WebMD Employee recognition programs Culture of employees creating an IMPACT! Program details can vary amongst buildings. Please see HR for the facility-specific benefit plans. We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their actual or perceived gender, race, color, national origin, religion, disability, age, military or veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

Job Description Job Description Job Title: Private Cloud Automation Engineer Location: Mechanicsburg, PA or Ogden, UT Work Type: 50% On-Site / 50% Travel Clearance: Active Secret Clearance Required (please do not apply unless you have an active DOD Secret clearance or higher) Salary: 140-175K Role Summary: We are seeking a skilled and security-cleared Private Cloud Automation Engineer to support the development of automation workflows and cloud orchestration in classified environments. This role focuses on designing, building, and maintaining Infrastructure-as-Code (IaC) solutions to enable scalable private cloud operations across geographically distributed sites. You will work closely with cross-functional teams to automate and streamline cloud provisioning and service delivery. Key Responsibilities: Design and develop automation workflows for provisioning tenants, users, and cloud services Create and manage service deployment blueprints using orchestration platforms such as Morpheus Convert manual operational tasks into repeatable, automated processes Integrate with APIs and web services for configuration, deployment, and management automation Support identity management, security policy implementation, and compliance in multi-vendor environments Collaborate with infrastructure, network, and security teams to promote DevOps best practices Requirements Active Secret Security Clearance (mandatory) Strong background in modern data center technologies Proficiency in scripting with Python Experience working with RESTful APIs and other web services Hands-on experience with IaC tools such as Ansible and Terraform Familiarity with at least one major public cloud platform (AWS, Azure, or GCP) Excellent communication and problem-solving skills with a customer-focused mindset Willingness and ability to travel up to 50% (travel expenses covered) Preferred Experience: Experience in classified government environments Familiarity with the Morpheus cloud management platform (or similar tools) Exposure to CI/CD pipelines and automation frameworks Knowledge of self-service cloud provisioning and service catalog design Understanding of secure infrastructure standards (e.g., NIST, RMF) Benefits Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. A TRICARE Supplemental Medical Insurance plan is also available. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. We offer a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment. About PGTEK: PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family. EOE, including disability/veterans.

Job Description Job Description Security Operations (SecOps) Engineer Active Secret Clearance Required Location: Hybrid - Must reside near a primary DISA DHMC site Possible Locations: Oklahoma City, OK Montgomery, AL Ogden, UT Mechanicsburg, PA Travel: Yes - Weekly travel to DISA locations (you will work out of your local DISA site when not traveling) Salary Range: $110,000 - $145,000 Position Summary: We are seeking a Security Operations (SecOps) Engineer to support federal cybersecurity initiatives across enterprise and cloud environments. This role combines hands-on security engineering, operational monitoring, and compliance support to ensure systems remain secure, observable, and audit-ready throughout their lifecycle. The ideal candidate will have strong experience with Elastic / ELK Stack technologies , security monitoring, and federal compliance frameworks. This role partners closely with DevOps, SRE, and compliance teams to integrate detection, response, and automation into production systems. Key Responsibilities: Security Operations & Monitoring Monitor, investigate, and respond to security alerts and incidents using Elastic Security (SIEM/XDR) Design, deploy, and maintain the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana) Develop and tune detection rules, dashboards, and alerting workflows Conduct threat hunting and advanced log analysis Vulnerability & Patch Management Perform vulnerability scanning and analysis using tools such as ACAS / Tenable Track and remediate vulnerabilities in accordance with federal timelines Coordinate patching and mitigation efforts with infrastructure and application teams Compliance & Continuous Monitoring Implement and maintain controls aligned with NIST 800-53, FISMA, and FedRAMP Support ATO (Authority to Operate) activities including documentation and evidence collection Produce compliance and CDM reporting using Elastic dashboards and data feeds Secure Engineering & Automation Integrate security monitoring and logging into CI/CD pipelines and Infrastructure-as-Code Automate ingestion, enrichment, and response workflows using Python, Bash, or PowerShell Enforce secure configuration baselines (STIGs, CIS benchmarks) Collaboration & Risk Management Partner with DevOps and SRE teams to embed security observability into system design Advise stakeholders on risk posture, detections, and mitigation strategies Communicate technical findings to both technical and non-technical audiences Requirements Hands-on production experience with the Elastic Stack (ELK) Direct experience using Elastic Security as a SIEM/XDR platform Log pipeline design, parsing, enrichment, and lifecycle management Security event monitoring, alert triage, and incident response Linux and Windows security administration Scripting or automation experience ( Python, Bash, or PowerShell ) Experience in cloud or hybrid environments (AWS, Azure, GCP, or GovCloud) Security & Compliance Knowledge Strong familiarity with: NIST 800-53, 800-61, 800-137 FISMA federal cybersecurity requirements FedRAMP control implementation and monitoring Experience supporting audits, assessments, or ATO packages Active Secret Clearance Preferred Qualifications: Experience deploying Elastic in DoD or federal environments Integration with cloud-native logging tools (CloudTrail, Azure Monitor, GCP Logs) Familiarity with DevSecOps and Site Reliability Engineering (SRE) practices Container and Kubernetes security experience Certifications (Preferred) Elastic Certified Engineer or Analyst Security+ CySA+ CISSP Benefits Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment. ABOUT PGTEK: PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family. EOE, including disability/veterans

This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information