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This job is with Warner Bros. Discovery, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Welcome to Warner Bros. Discovery the stuff dreams are made of. Who We Are When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As a Live Production CoE Manager at Warner Bros Discovery's News, Sports, and Entertainment Live Production centers in Atlanta, Georgia, you will be a key leader responsible for overseeing the convergence of information technology and broadcast engineering technology. Your primary focus will be on supporting the designated Center of Excellences and their respective Leads and team members, you will align technology with short and long-term business goals. You will participate in strategy development with clients and partners, leveraging cross-divisional engineering expertise to deliver comprehensive products and services that support company objectives. The Live Production Manager will manage their team: Develop, coordinate, and enforce systems, policies, and procedures standards. Analyze staff's performance and provide guidance to help them improve and advance in their careers. Building trust among colleagues. Skillful delegation of tasks and responsibilities. Representing the team's interests, objectives, and principles. Identifying, leading and/or participating in team building exercises Be open to change, embrace new technologies, and stay updated with industry trends The Live Production CoE Manager is a self-directed expert in designing, building, configuring, automating, maintaining, and providing advanced support for the movement and transformation of video in a 24x7x365 live news, sports, and entertainment production environment. The Live Production CoE Manager translates business requirements into functional requirements and specifications, producing systems that meet business needs through the assembly of existing hardware, new hardware, networking and software components, interfacing as needed with automation, monitoring and logging tools. They spare no detail in attention to availability, performance, capacity planning, and security. They frequently work with operational partners who specify the business needs, software developers, who focus on code authoring; systems architects, who focus on large scale system relationships; business analysists, who gather business requirements; and vendors, who create many of the products Lead Systems Engineers use. The CoE's are expected to produce novel solutions to problems, not merely to execute procedures developed by others and your role in managing them is vital to the success of the teams. Your Role Accountabilities This role is responsible for long range project planning, budgeting and execution. You will work closely with project managers, stakeholders, and project teammates to prioritize, schedule and deliver exceptional technical solutions, while providing expert guidance to meet challenging deadlines. As a hands-on leader, you will remove obstacles, assist with budgeting, and play a pivotal role as a technical designer, ensuring the team develops innovative solutions that align with project goals. Your strong leadership, communication, and problem-solving skills will be critical in fostering a culture of excellence, empowering team members' growth, and driving the successful execution of complex projects. Your role will involve providing enhanced oversight and guidance to the day-to-day operation of the relevant Warner Bros Discovery's Live Production Centers of Excellence, leading a team of skilled professionals to make informed technical decisions to deliver production requirements and protect our on-air brands. Constantly striving for excellence, you will evaluate the departmental workflow, identifying opportunities for process improvement and efficiency gains. Your leadership and technical expertise will be instrumental in maintaining the highest standards of technical performance. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Evaluate and prioritize incidents in our ServiceNow ticketing system, communicating status updates to partners, serving as an escalation point during major incidents and outages, and planning training and reviewing documentation practices for our knowledge base to improve KPIs. Your expertise will play a vital role in maintaining system reliability and fostering a culture of continuous improvement and collaboration within the team. Responsible for managing key vendor relationships, serving as a liaison for escalations and collaborative product development. Your role involves fostering strong partnerships with vendors to shape our technical vision and direction as the business needs. You will proactively engage with vendors to address any issues or escalations, ensuring smooth communication and resolution of challenges. Additionally, you will work closely with vendors to drive product development initiatives, leveraging their expertise to align with our evolving technical goals. Your leadership and strategic guidance will be instrumental in enhancing our technical capabilities and maintaining fruitful collaborations with external partners Qualifications & Experiences A four-year engineering degree (or equivalent work experience in Live Broadcast engineering with 10+ years of experience in a Broadcast environment. Knowledge and troubleshooting skills in live broadcasting. Understanding of Postproduction technical workflows. Ability to convey complex information clearly and effectively and excels in both written and verbal communication. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $105,280.00 - $195,520.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

Job DescriptionJob DescriptionDescription: About Us: Born in artistry, built for real life, and fueled by a global community, Morphe delivers high-performance, high-design beauty without the prestige price tag. Leveraging exceptional product development, regulatory, and supply chain capabilities, we make innovative products that invite creativity and celebrate the freedom to look how you want, when you want. Join us in shaping what's next in beauty. Position Overview Fulfillment Planner will support the order management process for wholesale customer accounts. This highly collaborative role will work with cross-functional partners to ensure the timely fulfillment and delivery of customer orders, to achieve monthly revenue targets and fill rate objectives. Principle Accountabilities Order Management: Process EDI and manual orders, perform detailed sales order reviews and analysis, and communicate confirmations, recaps, and any order impacts to relevant stakeholders. Systematically allocate inventory to customer orders for release to DC for downstream operations (pick, pack, ship) Collaborate closely with Account Managers and Wholesale Customers to ensure high service and transparency in communication. Ensure accurate and timely processing of EDI transactions (including 860, 855, and 856 documents) in alignment with customer compliance requirements. Support shipment execution by coordinating with DC and transportation partners to meet customer requirements and delivery expectations. Serve as the primary liaison between DC and internal business teams to resolve order-related inquiries Support the resolution of customer claims, shortages, chargebacks, and returns, identifying recurring trends and escalating as appropriate. Proactively troubleshoot fulfillment constraints and implement solutions to minimize service disruptions Perform other duties as required. Administrative Support Participate in cross-functional meetings with partners to align product allocations, inventory flow, and monthly revenue targets Maintain weekly sales reporting data on shared database Prepare and distribute recurring reports related to sales performance, backorders, and chargebacks. Provide input in developing process improvements to enhance service levels and increase efficiency Key Working Relationships Inventory Management, Account Managers, Planners, Production, Transportation, and Distribution Center Requirements: Required Skills & Experience Advanced proficiency in Microsoft Excel and other Microsoft Office applications Strong written and verbal communication skills Ability to learn quickly and adapt in a fast-paced environment with minimal supervision. Strong organizational skills, problem-solving, and cross-functional collaboration skills. Background in wholesale customer service, fulfillment, or operations; Beauty, Apparel, or related consumer goods industries. Experience working with ERP systems (NetSuite preferred)

Job DescriptionJob DescriptionDescription: About Us: Born in artistry, built for real life, and fueled by a global community, Morphe delivers high-performance, high-design beauty without the prestige price tag. Leveraging exceptional product development, regulatory, and supply chain capabilities, we make innovative products that invite creativity and celebrate the freedom to look how you want, when you want. Join us in shaping what's next in beauty. Position Overview Fulfillment Planner will support the order management process for wholesale customer accounts. This highly collaborative role will work with cross-functional partners to ensure the timely fulfillment and delivery of customer orders, to achieve monthly revenue targets and fill rate objectives. Principle Accountabilities Order Management: Process EDI and manual orders, perform detailed sales order reviews and analysis, and communicate confirmations, recaps, and any order impacts to relevant stakeholders. Systematically allocate inventory to customer orders for release to DC for downstream operations (pick, pack, ship) Collaborate closely with Account Managers and Wholesale Customers to ensure high service and transparency in communication. Ensure accurate and timely processing of EDI transactions (including 860, 855, and 856 documents) in alignment with customer compliance requirements. Support shipment execution by coordinating with DC and transportation partners to meet customer requirements and delivery expectations. Serve as the primary liaison between DC and internal business teams to resolve order-related inquiries Support the resolution of customer claims, shortages, chargebacks, and returns, identifying recurring trends and escalating as appropriate. Proactively troubleshoot fulfillment constraints and implement solutions to minimize service disruptions Perform other duties as required. Administrative Support Participate in cross-functional meetings with partners to align product allocations, inventory flow, and monthly revenue targets Maintain weekly sales reporting data on shared database Prepare and distribute recurring reports related to sales performance, backorders, and chargebacks. Provide input in developing process improvements to enhance service levels and increase efficiency Key Working Relationships Inventory Management, Account Managers, Planners, Production, Transportation, and Distribution Center Requirements: Required Skills & Experience Advanced proficiency in Microsoft Excel and other Microsoft Office applications Strong written and verbal communication skills Ability to learn quickly and adapt in a fast-paced environment with minimal supervision. Strong organizational skills, problem-solving, and cross-functional collaboration skills. Background in wholesale customer service, fulfillment, or operations; Beauty, Apparel, or related consumer goods industries. Experience working with ERP systems (NetSuite preferred)

Job DescriptionJob DescriptionDescription: About Us: Born in artistry, built for real life, and fueled by a global community, Morphe delivers high-performance, high-design beauty without the prestige price tag. Leveraging exceptional product development, regulatory, and supply chain capabilities, we make innovative products that invite creativity and celebrate the freedom to look how you want, when you want. Join us in shaping what's next in beauty. Position Overview Fulfillment Planner will support the order management process for wholesale customer accounts. This highly collaborative role will work with cross-functional partners to ensure the timely fulfillment and delivery of customer orders, to achieve monthly revenue targets and fill rate objectives. Principle Accountabilities Order Management: Process EDI and manual orders, perform detailed sales order reviews and analysis, and communicate confirmations, recaps, and any order impacts to relevant stakeholders. Systematically allocate inventory to customer orders for release to DC for downstream operations (pick, pack, ship) Collaborate closely with Account Managers and Wholesale Customers to ensure high service and transparency in communication. Ensure accurate and timely processing of EDI transactions (including 860, 855, and 856 documents) in alignment with customer compliance requirements. Support shipment execution by coordinating with DC and transportation partners to meet customer requirements and delivery expectations. Serve as the primary liaison between DC and internal business teams to resolve order-related inquiries Support the resolution of customer claims, shortages, chargebacks, and returns, identifying recurring trends and escalating as appropriate. Proactively troubleshoot fulfillment constraints and implement solutions to minimize service disruptions Perform other duties as required. Administrative Support Participate in cross-functional meetings with partners to align product allocations, inventory flow, and monthly revenue targets Maintain weekly sales reporting data on shared database Prepare and distribute recurring reports related to sales performance, backorders, and chargebacks. Provide input in developing process improvements to enhance service levels and increase efficiency Key Working Relationships Inventory Management, Account Managers, Planners, Production, Transportation, and Distribution Center Requirements: Required Skills & Experience Advanced proficiency in Microsoft Excel and other Microsoft Office applications Strong written and verbal communication skills Ability to learn quickly and adapt in a fast-paced environment with minimal supervision. Strong organizational skills, problem-solving, and cross-functional collaboration skills. Background in wholesale customer service, fulfillment, or operations; Beauty, Apparel, or related consumer goods industries. Experience working with ERP systems (NetSuite preferred)

Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer

Job DescriptionJob Description Security Clearance: Active TS/SCI with CI Polygraph required Position The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining America's intelligence satellites. Develop. Acquire. Launch. Operate. Apogee Integration is seeking a contracts specialist supporting the procurement and administration of IT, cloud, and telecommunications contracts. What You'll Do Reviews technical requirements, statements of work (SOWs), and vendor proposals, including technologies such as IP Address Management (IPAM), networking, cloud infrastructure, DNS/DHCP services, and cybersecurity solutions, to ensure contractual compliance and alignment with organizational requirements Required Qualifications Bachelor's degree in Business Administration, Contract Management, Supply Chain Management, Information Technology, or a related field (or equivalent experience). 3-7+ years of experience in federal, commercial, or DoD contracting, procurement, or acquisition. Experience supporting IT, telecommunications, cloud, or technology-related procurements. Knowledge of the federal acquisition process and applicable regulations (e.g., FAR/DFARS), if supporting government contracts. Experience preparing and reviewing solicitations, statements of work (SOWs), contract modifications, and purchase orders. Ability to evaluate vendor proposals, pricing, technical documentation, and contract compliance. Strong negotiation, communication, and analytical skills. Proficiency with Microsoft Office Suite, particularly Excel and Word. Preferred Qualifications Prior NRO experience Experience procuring enterprise networking, cloud, or cybersecurity solutions. Familiarity with networking concepts, including: IP Address Management (IPAM) DNS/DHCP TCP/IP Routers, switches, and firewalls Cloud networking (AWS, Azure, or Google Cloud) Experience with IT asset management or software licensing. Professional certification such as: NCMA Certified Professional Contracts Manager (CPCM) Certified Federal Contracts Manager (CFCM) Project Management Professional (PMP) (preferred) CompTIA Network+ (helpful but not typically required) Technical Knowledge (Not Hands-On) The candidate should have a working understanding of: Enterprise networking concepts IPAM solutions (e.g., Infoblox or BlueCat) Cloud infrastructure and telecommunications services Cybersecurity terminology and IT procurement best practices Pay Target Salary Range: $110,000 to $150,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors What You'll Love About Apogee Challenging work in support of US Intel Community - a Mission that Matters! Access to our cool ApogeePlex facility. Support for new ideas & encouragement to take risks Professional Development Assistance (PDA) Wicked smart and collaborative coworkers Regular interfacing with company leadership 401(k) with huge company match Paid Time Off / Floating Holidays Medical, Dental, Vision Life Insurance Disability (Short and Long Term) Accidental Death and Dismemberment (AD&D) Health Savings Accounts / Dependent Care Flexible Spending Accounts Apogee's Mission Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation. Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success Apogee Integration is an EE Employer

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High school diploma or equivalent PREFERRED QUALIFICATIONS - industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, MD, Frederick - 27.98 - 48.99 USD hourly

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Moving and implementing large enterprise equipment - Installing Fiber and Copper cabling and patching cabling between equipment - Ensuring proper safety and security standards are maintained during cabling and rack installation, - Following well established hardware installation procedures and break-fix activities - Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: - Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds - Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed - Working in cramped and/or elevated and/or noisy environments - Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High School diploma or equivalent PREFERRED QUALIFICATIONS - industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, MD, Frederick - 27.98 - 48.99 USD hourly

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High School diploma or equivalent PREFERRED QUALIFICATIONS - industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, MD, Frederick - 27.98 - 48.99 USD hourly

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 1+ years of Computer Hardware Repair, Infrastructure Cabling, Network Deployment, or Data Center Operations experience, or experience in similar technical or vocational roles - High School diploma or equivalent PREFERRED QUALIFICATIONS - industry standard certification (CompTIA, CCENT, or Network+) - Experience with cabling infrastructure best practices and methodologies - Knowledge of network cabling, optic types, and test equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, MD, Frederick - 27.98 - 48.99 USD hourly

This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph. The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe Cloud Architect (PCA) to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. You'll be a key player in the pre-sales process, providing technical expertise and guidance throughout the customer's cloud journey. In this role, you'll be responsible for creating and leading the solution design to address customer business outcomes (CBO). Operating as the conduit between ProServe Account Executives and our Shared Delivery Teams (SDT), you'll ensure proposed solutions are realistic, achievable, and optimize ProServe and/or our partners to maximize CBOs. As a PCA you are a trusted advisor to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions to address customer challenges. As a technical SME, you will share knowledge within the organization, through mentoring, training, creation of reusable artifacts and process improvements. Your experience in designing technical solutions within the technology/consulting sector, will equip you with the ability to architect complex, scalable, and secure solutions tailored to meet the specific needs of each customer, translating technical concepts into business value. Your success as a PCA will be linked to impacting the signing of SOWs, and the successful implementation of solutions which achieve CBOs while exceeding customer satisfaction (CSAT) expectations. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: • Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs) • Providing technical guidance and best practices during pre-sales and implementation phases • Collaborating with Account Managers and Shared Delivery Teams to ensure proposed solutions are realistic and achievable • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 5+ years of cloud architecture and solution implementation experience - Strong hands-on development experience with modern programming languages (e.g., Python, Java) and data technologies (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - 3+ years of AWS service suite, Infrastructure as Code (Terraform, CloudFormation), Security tools and frameworks, Compliance automation tool experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - • Expertise in performance optimization and cost management for cloud environments - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences as part of pre-sales motion - Experience in technical pre-sales and mission-focused solution architecture, with demonstrated ability to drive revenue through technical leadership - Previous experience supporting federal/defense customers with complex enterprise cloud migrations and modernization initiatives, including classified environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually

GreenState Credit Union MAC Representative I US-IA-North Liberty Job ID: # of Openings: 2 Category: Retail GreenState Credit Union Overview The MAC Representative I provides support within the Member Assistance Center (MAC) by assisting members through all contact center channels. This role performs routine transactions and responds to basic inquiries while learning Credit Union products, services, and processes. GREENSTATE CULTURE: At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success-now and in the future-is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life. Pay range for this hourly position is $23.61 - $27.60/hr with a progressive benefits package. Responsibilities Performs essential duties and responsibilities in the following areas which may include, but are not limited to those listed and are subject to change: Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision. Demonstrates a positive member service (internal and external) focus at all times. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities. Ensures confidentiality of member information. Supports a diverse and inclusive work environment. Demonstrate and support the values of the Member Assistance Center (MAC) through daily interactions. Assist members and potential members via phone, email, online chat, ITM, and digital messaging platforms by: Answering basic questions about GreenState products and services Completing routine transactions following established procedures Identifying member needs and providing appropriate basic information Ensure timely follow up on tickets Escalate non-routine, complex, or out-of-guideline issues to appropriate team members. Follow established processes and procedures to ensure accuracy and compliance. Use internal systems to verify member identity and complete transactions. Provide basic guidance to members on digital and self-service tools. Complete assigned processing tasks such as document handling or internal requests with accuracy and timeliness. Maintain attention to detail while performing routine, repetitive tasks. Identify sales opportunities while building member relationships Meet established individual and team performance expectations. Demonstrate professionalism, teamwork, and respect in all interactions. Participate in training and development activities to build knowledge and skills. Support team operations and departmental needs as assigned. Complete other duties as assigned. Qualifications High School Diploma or GED 0-2 years of relevant experience, preferably in a communication center and/or financial institution. Basic knowledge of deposit products and regulations or ability to learn quickly. Strong verbal and written communication skills appropriate for member interactions across phone and digital channels. Ability to navigate multiple communication platforms (phone, chat, email, video) and internal systems. Demonstrates ability to multitask, prioritize, and work efficiently in a fast-paced environment. Basic to intermediate proficiency with computer applications (e.g., word processing, spreadsheets, and database systems). Demonstrates attention to detail and accuracy when performing routine tasks. Customer-focused with the ability to identify basic needs and provide appropriate information. Demonstrates reliability, including consistent attendance and punctuality, and flexibility to meet business needs. Comfortable being on camera and conducting business via video and digital platforms. Ability to develop and maintain effective working relationships with team members. Must be bondable. Reporting Relationship This position reports to the Manager Member Assistance Center. Supervisory Responsibilities This position is not responsible for the supervision of others. Equal Opportunity Employment Statement GreenState Credit Union is an EEO/AA Employer. We strongly encourage all individuals to apply for openings with the credit union. PI3b2f50caea6e-6751

Sr. Manager, AI Engineer (IFX) 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).

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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

AI Engineer 5 AI Foundations, LLM Core and Agentic AI) Overview: 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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 AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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

To be a team member of the Driven by Dobbs family, you must be dedicated to supporting the company's mission, vision, and values. OUR MISSION: To be the leader in the automotive tire and service aftermarket industry in every market that we operate in providing premier service to our guests. POSITION TITLE: Service Manager in Training CLASSIFICATION: Exempt POSITION OVERVIEW: Driven by Dobbs, our family of brands brings together Dobbs Tire and Auto Centers-founded in 1976 in South St. Louis, MO as a family-owned complete auto care provider-and Conrad's Tire Express & Total Car Care, founded in 1969 in Cleveland, OH. Together, we have grown into a rapidly expanding, multi-market automotive service organization that will operate across eight states in 2026, with continued growth on the horizon. Across all locations, customers can expect a full selection of quality tire brands and comprehensive automotive services, ranging from routine maintenance to advanced diagnostics and engine repair. Our investment in training, development, safety, and overall team wellbeing empowers our people to deliver exceptional service every day. Rooted in a culture that extends beyond the shop, we proudly support local organizations and charities in the communities where our teams live and work. We are seeking a Service Manager in Training to learn and support all service and repair responsibilities within a single unit retail store environment. This position will work closely with store leadership to develop the skills needed to manage service and repair operations, ensuring quality, timeliness, safety and employee management standards are met. The ideal candidate will have strong technical knowledge of various make and model service and repair standards, high standards for customer satisfaction, and a strong work ethic to achieve results. ROLES AND RESPONSIBILITIES: Partners closely with Store Manager to learn how to interview, select and train service technicians, utilizing developing technical expertise to understand how knowledge, skills and experiences align with business needs and role definitions In partnership with the Store Manager, assists in evaluating knowledge , skills and performance of all technicians; provides input and learns how to make recommendations regarding development, promotions, merit, discipline, etc. Supports and learns to manage store performance goals including service sales dollars achievement, gross profit, customer satisfaction, employee safety, productivity and efficiency Assists in overseeing and assigning daily work orders including time, tools, materials and equipment needed Learns to provide technical expertise and support diagnosis for general and complex service requests for all make and model vehicles Supports and suggests technical training to ensure constant skill improvement and enhancement for all service technician levels Assists in overseeing safe operations and proper working order of all tools and equipment in the shop; supports ordering necessary replacements or repairs upon budget approval Ensures adherence to company policies, procedures, and safety standards at all times Maintains high standards for store cleanliness, organization, and inventory management. Supports analysis of financial and operational data to identify trends and assist in implementing improvement plans for underperforming stores. Ensures consistent delivery of exceptional customer service and assists in resolving escalated concerns promptly Supports management of inventory needs of the shop including tools, materials, and equipment to ensure smooth operations Helps lead a culture of safety, accountability and operational excellence within the service and sales teams in partnership with the Store Manager Ability to meet flexible schedule requirements that could include early mornings, evenings and weekends to meet customer demands Performs other position duties as directed by leadership SUCCESS FACTORS: Astrongbeliefinsafety-BeingSafe100%ofthetimeistheexpectation Alignment with company mission, vision, and values Strong work ethic with a commitment to results Strong team player with the ability to adapt to diverse team members Ability to perform in a fast paced/high volume environment Excellent verbal and written communication skills A high level of time management, accountability, and prioritization skills Ability to be organized, problem solve, and be solution oriented Self-motivated, goal-oriented, and driven to accomplish department goals Strong critical thinker with a high level of attention to detail Highly-customer centric and master relationship builder Proficient in Microsoft Office (Outlook, Teams, Etc.) Proficient in Point of Sales systems (VAST) strongly preferred WORK ENVIRONMENT: Frequent exposure to varying temperatures due to the nature of the work and shop conditions Requires adherence to all safety procedures and proper use of personal protective equipment (PPE) See attached for a complete list of physical demands required for this position EXPERIENCE AND EDUCATION: 3+years' experience in the automotive repair industry as a technician, service advisor, or service manager required Previous experience supporting or mentoring technicians strongly preferred Strong technical acumen of automotive repair standards, tools, processes, etc. Valid Drivers' License Required Driven by Dobbs is an equal opportunity employer. All candidates agree to complete a selection assessment and pre-employment screenings.

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technician position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, responding to operational incidents that impact service availability, and carrying out routine network, server hardware, and operating system repairs to contribute to the overall availability of AWS services - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to interview, train and onboard new team members Physical Requirements: - Lifting and moving material up to 40 pounds each - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in an industrial environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). - This role supports data centers in various o perational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they: - Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution - Show a strong aptitude for troubleshooting and problem solving - Solve problems at their root and step back to understand the broader context - Maintain service level agreements through the implementation of proactive issue detection and reporting - Are biased to act in the absence of direction or support - Improve effectiveness through process innovation You will be required to work shift work that will include days/nights/weekends/holidays. BASIC QUALIFICATIONS - 2+ years of computer/server hardware troubleshooting experience, or experience related IT - 2+ years of computer layer 1/2 networking (including troubleshooting and repair) experience - Work flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and troubleshooting - Knowledge of Linux/Unix Administration - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team members Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly

Sr. Manager, AI Engineer (IFX) 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).

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Infra Delivery Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Relocation assistance will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities • Moving and implementing large enterprise equipment • Installing Fiber and Copper cabling and patching cabling between equipment • Ensuring proper safety and security standards are maintained during cabling and rack installation, • Following well established hardware installation procedures and break-fix activities • Safely using material handling tools and equipment • Traveling within and outside of the regional work area is required. Physical Requirements: • All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. BASIC QUALIFICATIONS - 2+ years of data center, critical environment, computer hardware repair, infrastructure cabling, network deployment, or data center operations experience, or experience in similar technical roles - 2+ years of network cabling, fiber optics, and test equipment including VFL, power meter, and OTDR experience - Experience with network hardware: copper and optical fiber cabling, switches, routers PREFERRED QUALIFICATIONS - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - certification in a relevant field (CCENT - Cisco Certified Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Experience in a data center or other critical environment - Work flexible schedule including weekends, nights, and holidays - Experience conducting behavioral interviews and hiring Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 30.91 - 54.18 USD hourly