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This job is with Jabil, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. How will you make an impact? We are seeking a highly skilled, technically authoritative and customer-facing Sr. Principal Hyperscale Rack Engineer within the Intelligent Infrastructure Segment to lead the architecture, integration, and strategic direction of advanced air and liquid-cooled server and network rack solutions for large-scale hyperscale deployments. This role will serve as the senior technical authority responsible for translating customer requirements into scalable, manufacturable, and commercially viable rack systems. As the Sr. Principal Hyperscale Rack Engineer , youwill operate at the intersection of engineering, customer engagement, and program execution - driving end-to-end rack architecture across mechanical, power, thermal, electrical, and software domains. Success in this role requires deep technical expertise, strong commercial acumen, and the ability to lead complex programs while influencing both internal and external stakeholders. What will you do? Serve as the lead architect and development manager for complex rack-level solutions, owning system-level design decisions across mechanical, electrical, power, thermal, networking, and software integration domains. Lead customer-facing technical engagements from RFI/RFQ all the way to first hardware delivery, including design reviews, trade-off discussions, and executive-level conversations. Translate ambiguous or evolving customer requirements into clear program frameworks, ensuring alignment between customer expectations and engineering execution. Demonstrate strong commercial awareness by effectively managing customer expectations, pushing back when requirements introduce risk or inefficiency, and confidently addressing challenging technical and cost-related questions. Drive cross-functional alignment across all departments (executives, engineering, supply chain, manufacturing, and program) to ensure cohesive solution development with emphasis on Bill of Materials (BOM) management and scheduling. Own rack-level architecture including power distribution design, thermal strategies (air and liquid cooling), cable routing, serviceability, and manufacturability. Provide deep technical guidance on rack infrastructure including PDUs, busbars, liquid cooling systems (CDUs, manifolds, QDs), airflow design, and high-density compute integration. Oversee architecture decisions impacting performance, cost, scalability, and deployment efficiency. Drive program execution from concept through production, ensuring schedules are clearly defined, tracked, and met. Apply strong program management discipline: define milestones, identify risks early, escalate issues proactively, and hold cross-functional teams accountable to commitments. Drive readiness support calls internally from initial NPI scoping to prototyping to mass production, ensuring all systems are operable together from a power, thermal, and software standpoint. Partner with customers and internal stakeholders to continuously refine designs based on deployment feedback and operational learnings. Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (e.g., UL, CE, ISTA, ASTM). Mentor and guide engineers across disciplines, establishing best practices in rack system architecture and integration. Understanding of rack installation constraints, maintenance access, and serviceability in rack mechanical infrastructure. Conduct root cause analysis and corrective actions for mechanical failures or field issues. May perform other duties and responsibilities as assigned. How will you get here? Education: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or related field is required Experience: Minimum of 10 years' experience in engineering, systems integration, or data center hardware design. Minimum of 3 years' rack-level (L11) solution design and integration experience. Minimum of 3 years' switch/server (L10) experience, including compute, storage, or networking hardware integration. Proven ability to drive the development and execution of complex rack solutions for hyperscale or large-scale data center environments, managing 12-18 month lifecycles and portfolios valued at hundreds of millions of dollars. Familiarity with industry standards (EIA, ORV3, OCP) and global power architectures. Demonstrated experience working directly with customers in technical and commercially sensitive environments. Strong background in program execution, including schedule ownership, risk management, and cross-functional leadership. Excellent communication and cross-functional collaboration skills - a must. Strong understanding of mechanical systems, integration strategies, and program management. Hands-on experience with prototype fabrication and testing (mechanical S&V, software burn-in and test validation). Knowledge, Skills, Abilities: Excellent interpersonal and communication skills. Capable of assessing projects, articulating risks, and developing project milestones. Creative, self-motivated, accountable, and team-oriented. Able to work independently with minimal oversight. Skilled in writing reports, business correspondence, and procedural guides. Effective at presenting information and responding to management, clients, and public queries. Capable of influencing others and sharing best practices. Familiar with stage-gate processes in project lifecycle management (PLM). Able to coach and mentor less experienced engineers. Demonstrated success leading in a highly matrixed environment, driving alignment and execution across cross-functional teams without direct reporting authority. Ability to travel both domestically and internationally up to 30%. Preferred Qualifications: Master's Degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or related field is preferred. Extensive experience with liquid-cooled rack deployments in hyperscale or AI/ML infrastructure environments. Proficiency in CAD tools (e.g., SolidWorks, Creo/Pro-E, Inventor) and FEA software (e.g., ANSYS, Abaqus). Experience working with global suppliers and contract manufacturers (CM) a plus. High level knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for glycol-based systems. Proven experience driving compliance and validation for rack configurations, including regulatory standards, safety requirements, and mechanical integrity (shock, vibration, and transit durability). About Jabil's Intelligent Infrastructure Group: Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium Growing rapidly, with a team of more than 100 employees and significant expansion planned through 2026 Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers Delivers cutting edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems What Can Jabil Offer You? Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options 401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer Opportunities The pay range for this role is $156,400 - $281,500. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity. The anticipated close date of this job requisition is: October 11, 2026. As part of the total rewards package, this position is eligible for a short-term incentive based on performance. In addition, Jabil offers benefits to enhance your health, wealth, and resilient self. These include medical, dental, and vision insurance plans; paid time off accruing at a rate of 3.07 hours during your first year of employment; 4 weeks of paid parental leave; in 2027, 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays) . click apply for full job details

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver on a scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Position Summary Credence has an upcoming need for a Senior Program Manager who will be primarily responsible for supporting the Air Force Life Cycle Management Center WAM (AFLCMC/WAM) directorate, F-16 division at WPAFB, OH. F-16 "Viper" AFLCMC/WAM is headquartered at Hill Air Force Base with units located at Wright-Patterson Air Force Base, Tyndall Air Force Base, Eglin Air Force Base, and Davis-Monthan Air Force Base. The F-16 "Viper" is a multi-role fighter jet delivering air-to-air, air-to-ground, and surveillance capabilities for the United States Air Force (USAF) and Coalition Partners. Responsibilities include, but are not limited to the duties listed below Assist in risk management, cost, schedule, and performance of various software development efforts in a program management role, and report on them monthly through use of the Project Management Resource Tool (PMRT). Assist to interpret, organize, execute and coordinate assignments within the context of the Government acquisition process. Assist to explore software development and integration, definition of scope, and selection of problems for investigation. Support the program director at executive levels within the Government and other Contractor organizations, including major program reviews, inspections, conferences, and other program evaluations and major milestone events. Assist to establish and maintain contacts between the program office, supporting Government offices, other Contractors, and higher headquarters' mid-to upper-level staff. Assist with the analysis of war fighter requirements with ACC and serve as key advisor to F-16 Division leadership on mission-critical capability trades. Support war fighter Urgent Operational Needs (UONs), and support UON execution teams through recommendation of accelerated test concepts, minimum levels of integration required to satisfy operational need, and trade-offs among risk, schedule, performance, and cost. Support the OFP software development and testing processes, interpreting user requirements, and possesses a thorough understanding of the MNFP cost-sharing process. Assist with strategic planning, program planning, systems integration, weapons integration, requirements assessment, and program evaluations. Assist to apply integration, communication, coordination, organizational, and planning expertise to technical and acquisition efforts across multiple F-16 integration activities. Support Technical Interchange Meetings (TIMs) and working groups, serving as a liaison between user requirements and organic engineering activity. Assist to develop concise, coherent program status briefings to senior staff. Support the chief engineer in investigation and resolution of fielded program deficiencies, to include support of Crisis Management Teams (CMTs). Support and conduct studies and analysis of tradeoffs for incorporation of potential capabilities in future USAF OFP software. Advise and assist the Government with complex program management tasks, coordinating and managing multiple contracts, and identifying and confirming the annual funding requirements for those contracts. Assist with project cost estimates and have knowledge of the system engineering process and project Configuration Management (CM) requirements. Assist to investigate, analyze, plan, design, develop, implement, and evaluate solutions for project / program efforts; provide expert-level issue resolution and recommendation support to achieve desired program outcomes to situations that may include, but not be limited to, the following functional areas: program management, logistics, maintenance, supply, financial management (FM), test, security management, information management, and contracting. Support efforts including, but not limited to, strategic planning, program planning, systems integration, weapons integration, requirements assessment, and program evaluations. Assist to apply broad user war fighter requirements and applying solutions through the acquisition process. Define requirements with ACC and serve as key advisor to System Program Office (SPO) leadership on mission critical capability trades. Support programs in an international environment, including support to implement the requirements of foreign governments. Support development and test activities required to support warfighter UON. Support UON execution teams by recommending accelerated test concepts, minimum levels of integration required to satisfy operational need, and trade-offs among risk, schedule, performance, and cost. Assist with interpreting user requirements, to implement the MNFP cost sharing process. Assist with management of risk, cost, schedule, and performance of various OFP software development efforts. Assist with integration, communication, coordination, organizational, and planning support to technical and acquisition processes across multiple F-16 integration activities. Support F-16 avionics and weapons capabilities; complex weapon(s) integration; aircraft operations and employment; development of F-16 PVI; OFP software requirements development; development processes under the MNFP; aircraft mission and support equipment; authorized aircraft configurations and capabilities; aircraft subsystems; systems integration; advanced sensor integration. Coordinate the upgrade identification and requirements development process for new USAF hardware integration and software development programs. The Contractor shall complete program technical assessments and assist with developing cost estimates in support of the integration and software-development programs. The Contractor shall support Government/Contractor work-share agreements between LM Aero to organic software development at OO-ALC, for development efforts and support complex subsystem integration/coordination for advanced sensors, weapons, and electronic warfare equipment. Support the transition and stand-up of an organic software development capability for F-16 to assess and coordinate unique requirements and funding timelines. Assist with management of test execution, integration and sustainment support of various software upgrades such as the Automatic Ground Collision Avoidance System (AGCAS) integration in current OFP software. Support the Avionics System Requirements Review Conference (ASRRC) and Cockpit Review Team (CRT) process for initial requirements definition, and Pilot Vehicle Interface (PVI) development to support HQ ACC initiatives. Assist with bridging process between acquisition and user communities such as military fighter/bomber pilots, navigators, weapons systems officers, and software development. Support studies and analysis of tradeoffs for incorporation of potential capabilities in future F-16 USAF or FMS software. Manage the software supporting AESA radar design try-out activities for radar risk reduction. Support and conduct preparations and review pertinent data, coordinate with applicable managers, and finalize related documentation/information for verbal presentation of the plan status at required meetings. Meetings may include but are not limited to IPT meetings, Program Management Reviews (PMRs), TIMs, and other required conferences. Assist in the preparation of concise, coherent program status briefing charts to support meetings with senior staff. Support the F-16 Chief Engineer in investigation and resolution of fielded program deficiencies, to include support of CMT. Serve as lead technical advisor to the materiel leader for the F-16, supporting senior leader efforts in identifying cost efficiencies for aircraft trainer/simulator programs. Requirements Clearance: Top Secret Master's or Doctoral Degree in a related field and a minimum of ten (10) years of experience in the respective technical / professional discipline being performed, at least five (5) of which must be in the DoW/DoD or Bachelor's Degree in a related field and a minimum of twelve (12) years of experience in the respective technical/professional discipline being performed, five (5) of which must be in the DoW/DoD or fifteen (15) years of directly related experience with proper certifications, eight (8) of which must be in the DoW/DoD. Preferred: Minimum of ten (10) years of experience with fighter/bomber, or related aircraft experience with detailed knowledge of all USAF program requirements and recommend at least five of those years be direct F-16 and an understanding of fighter weapons systems integration operational employment and weapons capability and software development processes, USAF Major Command expertise, ideally at the Headquarters (HQ) USAF or HQ ACC level . click apply for full job details

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI 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 . click apply for full job details

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI 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 . click apply for full job details

Sr. Manager, AI Engineer 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3+ years of experience managing and leading an engineering team 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI 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).

Sr. Manager, AI Engineer 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3+ years of experience managing and leading an engineering team 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 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 in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI 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).

Job Description Job Description Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Profit sharing Training & development Tuition assistance Vision insurance Job Description SarelaTech is seeking an experienced Network Engineer (SME) to join our Integrated Information Technology Support Services (I3TS) team, who will support an extensive digital modernization program critical to Defense Threat Reduction Agency (DTRA) in Fort Belvoir, VA. The Network Engineer will work closely with the Leidos and Government technical leadership team to help drive innovation, growth, and efficiencies within the I3TS portfolio. Primary Responsibilities: The Commercial Solutions for Classified (CSfC) Network & Security Engineer will architect and operate secure, dual-layer cryptographic boundaries utilizing Cisco and Aruba IPsec/SSL VPNs and dynamic routing (BGP/OSPF) in strict compliance with NSA Capability Packages. In this role, you will author and tune Palo Alto NGFW security policies and IDS/IPS threat prevention signatures, implement enterprise network access control and 802.1X policies via Cisco ISE and Aruba ClearPass, integrate enterprise PKI/OCSP services and hardened NTP, and generate key engineering artifacts required for NSA CSfC PMO registration and compliance auditing. Architect, deploy, and maintain CSfC infrastructure operating within Black/Gray/Red networks. Design, configure, and maintain multi-layered Commercial Solutions for Classified (CSfC) architectures in alignment with NSA Mobile Access (MA), Multi-Sight (MSC) Capability Packages, with Campus Wireless LAN (WLAN) experience a bonus. Ensure strict compliance with vendor diversity and dual-tunnel encryption mandates. Understanding of NIAP approved list and monitors for changes Design, configure, and maintain multi-layered Commercial Solutions for Classified (CSfC) architectures in alignment with NSA Capability Packages (MSC, MA, and CWLAN). Ensure strict compliance with vendor diversity and dual-tunnel encryption mandates. Implement enterprise routing protocols (BGP, OSPF) alongside redundant outer and inner IPsec VPN tunnels across Cisco and Aruba appliances. Configure remote access SSL VPNs and ensure end-to-end traffic separation. Author, optimize, and audit Palo Alto Next-Generation Firewall (NGFW) security policies, App-ID, User-ID, and URL filtering. Configure and tune Palo Alto IDS/IPS threat signatures, anti-spyware, and vulnerability protection. Architect and manage Cisco Identity Services Engine (ISE) and Aruba ClearPass policy managers for 802.1X network access control, RADIUS/TACACS+ administration, posture assessment, and endpoint profiling. Integrate enterprise Public Key Infrastructure (PKI) components, managing X.509 certificate lifecycles, Certificate Authorities (CAs), CRL/OCSP validation, and hardened, authenticated Network Time Protocol (NTP) infrastructure. Prepare CSfC compliance artifacts, Key Management Plans (KMPs), Continuous Monitoring Plans (CMPs), and registration packages for NSA CSfC PMO submission. Required Qualifications: Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Engineering Management, Management Information Systems, or related STEM degree program, and 12-15 years of relevant experience. Specific experience, education and training may be considered in lieu of degree. 12+ years of progressive network engineering experience within DoD/DoW, federal, or defense contractor enterprise environments Active TS/SCI Clearance Active DoD 8570.01-M / DoD 8140 IAT Level II or III baseline certification (e.g., Security+ CE, CySA+, CASP+, or CISSP). Active Computing Environment certification, including one or more of: Cisco CCNA, CCNP, Aruba ACSA or ACSP Proven expertise configuring Cisco (IOS-XE/ASR) and Aruba (Mobility Controllers/Gateways) IPsec and SSL VPNs, including IKEv2, Suite B/CNSA cryptography, and dynamic routing (BGP, OSPF). Demonstrated engineering experience with Palo Alto Networks firewalls (PAN-OS), Panorama central management, and advanced IDS/IPS inspection profiles. Hands-on deployment experience with both Cisco ISE and/or Aruba ClearPass implementing 802.1X, EAP-TLS authentication, and role-based access policies. Strong working knowledge of X.509 certificates, CA hierarchy integration, certificate revocation lists (CRLs), OCSP, and secure NTP stratum synchronization. Direct prior experience preparing and successfully registering NSA CSfC Capability Package solutions (Mobile Access, Multi-Site Connectivity, or Campus WLAN). Deep understanding of Commercial National Security Algorithm (CNSA) Suite requirements, post-quantum readiness considerations, and hardware security modules (HSMs). Familiarity with Ansible, for automating network device configuration backups, policy compliance checks, and certificate rotations. Certified in any of the following - Cisco CCNP/CCIE (Security or Enterprise), Palo Alto PCNSE, Aruba Certified ClearPass Expert (ACCX), or Aruba Certified Mobility Expert (ACMX).

Job Description Job Description Oneida Technical Solutions, LLC (OTS) has a rich history of providing IT support and associated services in highly complex, highly regulated, highly secure environments, including the U.S. Department of Defense (DoD), law enforcement, health care, retail, and the casino gaming industry. OTS is a wholly owned subsidiary of Oneida Innovations Group. OTS is seeking a Senior Security/COMSEC Engineer in Norfolk, Virginia. This position is contingent upon contract award to OTS. The Senior Security/COMSEC Engineer will be responsible for providing advanced technical support for COMSEC infrastructure and support execution of core COMSEC operational activities. This includes Local Element support, equipment maintenance and upgrades, audits, training, and compliance support. This position will support inspections, reporting, Local Element management, and day-to-day operational continuity for the COMSEC program. This position also supports shipboard and shore-based equipment installations, cybersecurity and RMF activities, incident response actions, and user training needed to sustain secure COMSEC operations across the program. Responsibilities Manage day-to-day Navy COMSEC account operations, including compliance support for COMSEC visits and inspections. Conduct classroom training and develop basic COMSEC training curriculum. Perform on-site COMSEC audits, including evaluation of administration, handling, security procedures, inventories, and destruction, and help coordinate audits to maintain annual periodicity. Provide COMSEC equipment Life Cycle Management (LCM) support. Provide support for COMSEC Shore Local Element management, assisting Local Element Managers with the management and security of COMSEC material. Perform equipment maintenance, upgrades, and troubleshooting for COMSEC hardware. Provide cybersecurity and COMSEC incident response support, ensure proper reporting chains are followed, and assist with continuity of operations. Develop and maintain COMSEC documentation and Standard Operating Procedures (SOPs). Support RMF security control selection, implementation, configuration, audits, and assessments for COMSEC networks, enclaves, and equipment. Provide cybersecurity training and expertise for COMSEC networks, enclaves, and equipment. Requirements US Citizen with Active Top Secret clearance and T5 background investigation. Must meet the requirements of CSWF 723 COMSEC Manager Advanced: Bachelor of Science (BS) degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science from an ABET accredited or CAE designated institution OR DoD/Military Training M0923X1 or A- or A- OR active CISM or CISSO or FITSP-M or GCSA or GCIH or GSLC or GICSP certification. Minimum of 8 - 10 years of experience in COMSEC management and operations. Experience with DoD Cybersecurity/RMF process. Experience working with CMS-1/CMS-3/COMSCINST 2280 series. Experience with Navy COMSEC programs. Experience contributing to the development of security documentation. Exceptional interpersonal, analytical, technical, communication, organizational, and decision-making skills. This position requires CONUS/OCONUS travel. OTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. Job Posted by ApplicantPro

Job Description Job Description Senior Physical Electronic Security Technician - Data Centers Location: Texas Department: Physical Security / Critical Infrastructure Employment Type: Full-Time Position Summary We are seeking an experienced Senior Physical Electronic Security Technician with extensive expertise in enterprise electronic security systems, specifically the LenelS2 OnGuard platform, to install and commision critical security infrastructure within new construction data center environments. The ideal candidate will possess deep technical knowledge of integrated access control, IP video surveillance, intrusion detection, intercom systems, and security networking. This individual will lead installation, commissioning, troubleshooting, preventative maintenance, and lifecycle upgrades while ensuring the highest standards of security, reliability, and compliance expected within hyperscale and enterprise data centers. This role requires a technician who can work independently, lead field activities, mentor junior technicians, and interact professionally with customers, vendors, project managers, and security operations teams. Key Responsibilities Electronic Security Systems Install, commission, troubleshoot, and maintain enterprise electronic security systems. Perform basic programming, configuration, and diagnostics of Lenel OnGuard access control systems. Configure and maintain: Intelligent Controllers Access panels Card readers Electric locking hardware Request-to-exit devices Door position switches Elevator control integrations Maintain enterprise IP video surveillance platforms and associated hardware. Configure camera networks, recording servers, storage systems, and video analytics. Diagnose hardware, firmware, software, and communication failures. Data Center Security Infrastructure Support physical security systems protecting mission-critical data center facilities. Maintain strict compliance with customer security standards and change management processes. Work within highly controlled production environments with zero-tolerance for unnecessary downtime. Perform maintenance activities while minimizing operational impact. Understand redundancy requirements for: Controllers Network infrastructure Power systems Security servers Support security upgrades during maintenance windows. Systems Integration Integrate security platforms with: Video Management Systems (VMS) Intrusion Detection Systems (IDS) Visitor Management Systems Building Management Systems (BMS) Fire Alarm Interfaces Configure TCP/IP communications between enterprise security devices. Troubleshoot network communication issues involving switches, VLANs, PoE, and fiber infrastructure. Installation & Commissioning Lead field installation activities for new security deployments. Read and interpret: Construction drawings Security risers Wiring diagrams Floor plans Sequence of operations Install and terminate: Cat6 Fiber optic cabling Composite security cable RS-485 communications Low-voltage power circuits Perform commissioning, acceptance testing, and system turnover. Maintenance & Service Perform preventative maintenance inspections. Respond to emergency service calls. Diagnose complex system failures. Replace defective hardware. Perform firmware and software upgrades. Document repairs and maintain accurate service records. Leadership Mentor junior technicians. Lead small installation and service teams. Coordinate with project managers and security operations personnel. Provide technical guidance during complex troubleshooting activities. Ensure installations meet company quality standards and applicable codes. Required Qualifications 5+ years of experience installing and servicing enterprise electronic security systems. 3+ years of experience with Lenel OnGuard . Extensive experience supporting security systems in mission-critical data center environments. Strong understanding of: Access Control IP Video Surveillance Intrusion Detection Security Networking Low Voltage Systems Experience with enterprise security server architecture. Strong knowledge of: TCP/IP networking VLANs PoE Fiber optics Windows Server environments SQL fundamentals Ability to independently diagnose complex hardware and software issues. Experience working under formal change control procedures. Ability to read electrical and low-voltage construction drawings. Excellent customer communication and documentation skills. Preferred Qualifications Current LenelS2 OnGuard Certification (Associate, Professional, or Expert) Experience with: Genetec Security Center Milestone XProtect Avigilon Control Center Honeywell Pro-Watch Software House C•CURE 9000 Experience with intelligent locking hardware from manufacturers such as: ASSA ABLOY Allegion Knowledge of data center operational standards. OSHA 10 or OSHA 30 certification. Manufacturer certifications for enterprise access control or VMS platforms. Experience working in hyperscale cloud data centers. Technical Skills Enterprise Access Control Lenel OnGuard Administration Intelligent Controllers IP Camera Systems Video Management Systems Fiber Optic Installation Low Voltage Cabling Door Hardware Integration Network Troubleshooting TCP/IP SQL Databases Windows Server Power Supplies UPS Systems Security Networking System Commissioning Preventative Maintenance Root Cause Analysis Physical Requirements Lift up to 50 pounds. Work from ladders and lifts. Travel between customer sites as required. Work in active construction and mission-critical operational environments. Ability to participate in after-hours maintenance windows and on-call rotations. What Success Looks Like The successful candidate consistently delivers reliable, high-quality electronic security solutions with minimal disruption to critical operations. They serve as the technical expert for Lenel OnGuard systems, proactively resolve complex issues, ensure compliance with data center security standards, and provide leadership that enhances team performance and customer confidence. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work.

Senior Software Engineer Location: Hybrid - Columbus, Ohio Employment Type: Full-time Eligibility: This position is not open to C2C arrangements, third-party submissions, or visa sponsorship. Candidates must currently reside in or near the Columbus, Ohio area. Role Summary We are seeking an experienced Senior Software Engineer to design, build, and maintain high-quality software applications supporting industrial and embedded systems. This role provides technical leadership throughout the software development lifecycle, from requirements definition and architecture through implementation, testing, deployment, and support. The ideal candidate brings strong C++ expertise, hands-on embedded Linux experience, and a deep understanding of secure, reliable software design. You will collaborate closely with hardware, QA, product management, and other engineering partners while mentoring junior developers and improving development practices. Key Responsibilities Lead the design, development, and implementation of complex software solutions for industrial and embedded systems. Architect and maintain scalable, reliable, maintainable, and testable software modules and system components. Develop and execute comprehensive unit, integration, and black-box testing strategies to ensure software quality, reliability, and performance. Collaborate with hardware, QA, product management, and other cross-functional teams to define requirements and deliver high-quality releases. Apply Agile methodologies to manage project work, prioritize deliverables, and continuously provide value. Review customer standards and technical specifications to derive clear, actionable software requirements for new product development. Identify, troubleshoot, and resolve complex technical issues across development, testing, production, and field environments. Participate in peer code reviews and drive ongoing improvements to engineering processes, tools, and best practices. Create and maintain clear technical documentation, including software design specifications, installation instructions, and engineering guidelines. Assess project scope, technical risk, and resource needs for complex software modules; advise on design strategies and product enhancements. Mentor junior engineers through technical guidance, design feedback, code reviews, and collaborative problem-solving. Champion the practical integration of AI tools and workflows to improve engineering efficiency and productivity. Travel up to 10% for field troubleshooting, data collection, site surveys, and customer support activities in the United States and internationally. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; a Master's degree is a plus. 5+ years of professional software development experience, including at least 3 years of production C++ development. Extensive experience developing, debugging, and optimizing C++ applications in performance-critical or resource-constrained environments. Demonstrated expertise in software architecture and designing robust, scalable, maintainable, and testable solutions for industrial, automation, robotics, manufacturing, or embedded systems. Hands-on experience developing low-latency, real-time software for embedded Linux environments. Strong experience with multithreaded programming, inter-process communication, and system-level debugging. Deep knowledge of zero-trust networking over TLS, including certificate and chain-of-trust management. Strong understanding of cybersecurity principles for IoT and embedded systems, including TPM2 secret storage, secure boot, signed over-the-air updates, operating-system hardening, and device management. Experience designing and implementing integration tests involving hardware-in-the-loop environments. Advanced understanding of code testability, automated testing practices, and CI/CD pipelines. Proficiency with Git version control. Ability to work with hardware interfaces and troubleshoot complex software-hardware integration issues. Strong verbal and written communication skills, with the ability to collaborate effectively across engineering, QA, product, and customer-facing teams. Excellent analytical and problem-solving skills, with a demonstrated ability to work independently and within cross-functional teams. Preferred Qualifications Familiarity with industrial communication protocols such as Modbus, CAN bus, and OPC UA. Experience with Go, Python, shell scripting, or related automation tools. Experience supporting field deployments, collecting diagnostic data, or troubleshooting customer systems. Experience working in regulated, safety-conscious, or cybersecurity-focused product environments. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Network & Security Engineer Senior Consultant operates Visa's internal data communications systems, including LANs and WANs. This role plans, designs, and implements networked systems, manages configurations, supports and troubleshoots network problems, and coordinates with vendors for installation of routers, bridges, concentrators, and switches. The position is responsible for project implementation, provides training, assists with proposal writing, and conducts project planning, cost analysis, and vendor comparisons. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Design, engineer, and support IP networks for Visa's commercial network infrastructure, connecting Visa to commercial clients. Plan, design, implement, and support network systems of moderate complexity in the commercial network environment. Provide network design documentation to project teams, peers, and network support organizations. Provision new client processing by completing necessary network updates and providing technical assistance to clients in support of network changes. Perform third-level support within Visa to resolve network issues and provide guidance to other Visa teams involved in network troubleshooting. Work with Cybersecurity to ensure Visa security standards are met and provide technical assistance for investigation and analysis of security events. Oversee management and maintenance of DDI (DNS, DHCP, and IPAM) infrastructure, ensuring high availability and reliability of DDI services. Implement DNS changes and updates aligned with business requirements; provision new domains, networks, ACLs, templates, subnets, and DHCP scopes. Develop self-service tools for application and infrastructure clients to gain better visibility of real-time network health and performance. Architect, design, and deliver innovative solutions to enable public cloud connectivity with Private DCs, including developing standard automation templates for deployment of public cloud infrastructure and platform components. Drive software development for Visa's Infrastructure as Code (IAC) efforts across Private/Hybrid/Multi Cloud environments. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Degree in Math, Science, Engineering, or Computer Science, Information Systems or related field OR Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum two (2) years of experience in a directly related field OR minimum four (4) years of directly related experience. Experience in network design and engineering on customer-facing networks. Experience in IP networking, switching, and routing in MPLS-based networks. Experience with network hardware including certified experience with Cisco networking devices (formal certification to CCNP level or working towards CCNP is expected or relevant work experience). Experience and expertise with IP routing protocols OSPF and BGP, plus knowledge of Cisco encryption technologies (IPSec, SSL), standby protocols HSRP and VRRP, and network address translation (NAT). Experience in scripting to facilitate automation. Experience deploying and using SDWAN technologies, particularly Cisco and Versa. Experience working on connectivity solutions using leading public cloud platforms such as AWS and GCP. Experience working in a variety of network operating models including managed services. Experience in the use of network management tools such as Solarwinds and Netbrain. Experience implementing engineering solutions for network monitoring and alarming tools, leveraging vendors such as Netcool, IBM SevOne/ITNM, Solarwinds, Netscout, Netbrain, and Thousandeyes. Familiarity with DMVPN implementation in a high availability setting. Experience with DDI (DNS, DHCP, and IPAM) in an enterprise network, with a solid understanding of DNS and DHCP concepts. Experience with open-source infrastructure as code software and automation software development tools including Terraform, Terragrunt, env0, Ansible, Python, Chef, Puppet, or Salt. Experience with container technologies in a production environment (e.g. Docker, OpenShift, Kubernetes) and related ecosystem products. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Job Description Job Description About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Job Description: We are seeking a Voice Operations Specialist to support the day-to-day operations, maintenance, modernization, and continuous improvement of a large-scale enterprise telecommunications environment. This position is responsible for ensuring the availability, reliability, performance, and security of enterprise voice services supporting mission-critical operations. The successful candidate will serve as a senior technical resource responsible for operational support, incident response, service restoration, lifecycle management, technology refresh activities, change management, asset tracking, and performance reporting. This role is focused on operational excellence and service delivery within a complex enterprise voice environment and requires extensive experience managing production telecommunications systems. The ideal candidate possesses strong troubleshooting capabilities, broad experience supporting enterprise telephony platforms, excellent customer engagement skills, and the ability to work across technical, operational, and cybersecurity teams to maintain highly available communication services. Requirements: U.S. Citizenship is required Must possess an active TS clearance at the time of application, be willing and able to obtain SCI access, and pass a CI polygraph. This position is onsite 5/days a week in Huntsville, Alabama Occasional Travel may be required Qualifications and Experience: Bachelor's Degree in Information Systems, Telecommunications, Computer Science, Engineering, or related technical field. Equivalent experience may be substituted for education. Minimum eight (8) years of experience supporting enterprise telecommunications, voice, VoIP, contact center, or unified communications environments. Experience supporting large-scale production voice platforms with responsibility for operations, maintenance, incident response, and service delivery. Experience supporting enterprise telephony solutions such as Cisco Unified Communications Manager (CUCM), Cisco Voice, Cisco Webex Calling, Mitel, NEC, Microsoft Teams Phone, or comparable enterprise telecommunications platforms. Experience supporting SIP-based communications environments, voice gateways, call routing technologies, session border controllers (SBCs), and VoIP infrastructure. Experience providing Tier 2 and Tier 3 operational support and troubleshooting. Experience supporting environments governed by service level agreements (SLAs), incident management processes, and operational performance metrics. Experience utilizing IT Service Management (ITSM) and ticketing platforms. Strong analytical, troubleshooting, and problem-solving skills. Excellent written and verbal communication skills. Preferred Qualifications: Experience supporting Microsoft Teams Phone, Direct Routing, Operator Connect, or other cloud-based telephony solutions. Experience supporting enterprise telecommunications modernization or migration initiatives. ITIL Foundation Certification. Experience supporting Federal Government or highly regulated environments. Familiarity with NIST, RMF, FISMA, STIGs, or other cybersecurity compliance frameworks. Experience supporting geographically dispersed telecommunications infrastructures. Key Responsibilities Voice Operations & Maintenance: Perform day-to-day operational support and maintenance of enterprise telecommunications and voice infrastructure. Ensure the availability, reliability, and performance of voice and unified communications services. Monitor system health and proactively identify service degradation, outages, and operational risks. Maintain operational procedures, support documentation, and standard operating procedures. Incident Management & Service Restoration: Provide Tier 2 and Tier 3 support for telecommunications incidents and service disruptions. Troubleshoot complex issues involving VoIP systems, SIP services, call routing, voice gateways, and telecommunications infrastructure. Coordinate issue resolution across technical teams, vendors, and service providers. Perform root cause analysis and implement corrective actions to prevent recurring incidents. Support after-hours maintenance windows and critical incident response activities as required. Change & Configuration Management: Develop and execute implementation, testing, validation, and rollback plans for infrastructure changes. Participate in enterprise change management and configuration control processes. Maintain accurate configuration documentation and system inventories. Support software upgrades, firmware updates, system maintenance, and technology refresh initiatives. Operational Reporting & Performance Management: Develop and maintain operational dashboards, reports, and service metrics. Track incidents, outages, SLA performance, system availability, and operational trends. Prepare recurring and ad hoc status reports for management and stakeholders. Analyze operational performance data and recommend service improvements. Asset & Lifecycle Management: Support telecommunications hardware, software, licensing, and inventory management activities. Maintain accurate asset records and lifecycle tracking information. Assist with capacity planning, technology refresh initiatives, and replacement planning. Coordinate with vendors and suppliers regarding support agreements, licensing, and service delivery. Security & Compliance: Support patch management, vulnerability remediation, and cybersecurity compliance initiatives. Assist with audits, security assessments, and accreditation activities. Ensure telecommunications systems operate in accordance with organizational security policies and operational standards. Support implementation of corrective actions resulting from security findings or operational reviews. Customer & Stakeholder Support: Provide technical guidance and support to customers and stakeholders. Coordinate service requests, moves, adds, changes, and operational support activities. Support communications and outreach efforts related to voice services and planned maintenance activities. Foster strong working relationships across operational, engineering, cybersecurity, and program management teams. Compensation and Benefits: At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job. Veterans First Commitment: As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization. Our Commitment: Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!

Job Description Job Description Senior Physical Electronic Security Technician - Data Centers Location: North Carolina Department: Physical Security / Critical Infrastructure Employment Type: Full-Time Position Summary We are seeking an experienced Senior Physical Electronic Security Technician with extensive expertise in enterprise electronic security systems, specifically the LenelS2 OnGuard platform, to install and commision critical security infrastructure within new construction data center environments. The ideal candidate will possess deep technical knowledge of integrated access control, IP video surveillance, intrusion detection, intercom systems, and security networking. This individual will lead installation, commissioning, troubleshooting, preventative maintenance, and lifecycle upgrades while ensuring the highest standards of security, reliability, and compliance expected within hyperscale and enterprise data centers. This role requires a technician who can work independently, lead field activities, mentor junior technicians, and interact professionally with customers, vendors, project managers, and security operations teams. Key Responsibilities Electronic Security Systems Install, commission, troubleshoot, and maintain enterprise electronic security systems. Perform basic programming, configuration, and diagnostics of Lenel OnGuard access control systems. Configure and maintain: Intelligent Controllers Access panels Card readers Electric locking hardware Request-to-exit devices Door position switches Elevator control integrations Maintain enterprise IP video surveillance platforms and associated hardware. Configure camera networks, recording servers, storage systems, and video analytics. Diagnose hardware, firmware, software, and communication failures. Data Center Security Infrastructure Support physical security systems protecting mission-critical data center facilities. Maintain strict compliance with customer security standards and change management processes. Work within highly controlled production environments with zero-tolerance for unnecessary downtime. Perform maintenance activities while minimizing operational impact. Understand redundancy requirements for: Controllers Network infrastructure Power systems Security servers Support security upgrades during maintenance windows. Systems Integration Integrate security platforms with: Video Management Systems (VMS) Intrusion Detection Systems (IDS) Visitor Management Systems Building Management Systems (BMS) Fire Alarm Interfaces Configure TCP/IP communications between enterprise security devices. Troubleshoot network communication issues involving switches, VLANs, PoE, and fiber infrastructure. Installation & Commissioning Lead field installation activities for new security deployments. Read and interpret: Construction drawings Security risers Wiring diagrams Floor plans Sequence of operations Install and terminate: Cat6 Fiber optic cabling Composite security cable RS-485 communications Low-voltage power circuits Perform commissioning, acceptance testing, and system turnover. Maintenance & Service Perform preventative maintenance inspections. Respond to emergency service calls. Diagnose complex system failures. Replace defective hardware. Perform firmware and software upgrades. Document repairs and maintain accurate service records. Leadership Mentor junior technicians. Lead small installation and service teams. Coordinate with project managers and security operations personnel. Provide technical guidance during complex troubleshooting activities. Ensure installations meet company quality standards and applicable codes. Required Qualifications 5+ years of experience installing and servicing enterprise electronic security systems. 3+ years of experience with Lenel OnGuard . Extensive experience supporting security systems in mission-critical data center environments. Strong understanding of: Access Control IP Video Surveillance Intrusion Detection Security Networking Low Voltage Systems Experience with enterprise security server architecture. Strong knowledge of: TCP/IP networking VLANs PoE Fiber optics Windows Server environments SQL fundamentals Ability to independently diagnose complex hardware and software issues. Experience working under formal change control procedures. Ability to read electrical and low-voltage construction drawings. Excellent customer communication and documentation skills. Preferred Qualifications Current LenelS2 OnGuard Certification (Associate, Professional, or Expert) Experience with: Genetec Security Center Milestone XProtect Avigilon Control Center Honeywell Pro-Watch Software House C•CURE 9000 Experience with intelligent locking hardware from manufacturers such as: ASSA ABLOY Allegion Knowledge of data center operational standards. OSHA 10 or OSHA 30 certification. Manufacturer certifications for enterprise access control or VMS platforms. Experience working in hyperscale cloud data centers. Technical Skills Enterprise Access Control Lenel OnGuard Administration Intelligent Controllers IP Camera Systems Video Management Systems Fiber Optic Installation Low Voltage Cabling Door Hardware Integration Network Troubleshooting TCP/IP SQL Databases Windows Server Power Supplies UPS Systems Security Networking System Commissioning Preventative Maintenance Root Cause Analysis Physical Requirements Lift up to 50 pounds. Work from ladders and lifts. Travel between customer sites as required. Work in active construction and mission-critical operational environments. Ability to participate in after-hours maintenance windows and on-call rotations. What Success Looks Like The successful candidate consistently delivers reliable, high-quality electronic security solutions with minimal disruption to critical operations. They serve as the technical expert for Lenel OnGuard systems, proactively resolve complex issues, ensure compliance with data center security standards, and provide leadership that enhances team performance and customer confidence. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work.

Sr. Staff AI Engineer 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI 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).

Sr. Staff AI Engineer 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI 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).