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We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated System Administrator V for a Full-Time position. Job Summary: Serves as a Senior Systems Administrator providing advanced technical leadership, design, optimization, and operational support for enterprise servers and datacenter environments. This role supports Microsoft and Linux platforms, virtualization, enterprise storage, backup and recovery, and security initiatives while serving as a Subject Matter Expert (SME) for shared services enterprise datacenter projects. The position also leads to modernization efforts and mentors' junior system administrators. Key Responsibilities Provide senior-level system administration support for enterprise servers and datacenter environments Design, optimize, and maintain enterprise platforms supporting mission-critical operations Administer and support Microsoft Windows Server and Linux operating systems Support and manage virtualization platforms, including VMware, and enterprise storage solutions Lead server modernization initiatives, including system upgrades and technology refresh efforts Perform backup and recovery operations for Data Operations Centers (DOC) Conduct system patching, performance tuning, capacity planning, and resource optimization Provide Tier II/III escalation support and technical guidance to lower-tier support teams Support enterprise security initiatives and datacenter physical security tools and applications Utilize DCIM tools to monitor, manage, and optimize datacenter infrastructure Perform hardware and software upgrades and maintain operational configurations Develop and maintain technical, operational, and project management documentation Serve as a Subject Matter Expert (SME) for Shared Services Enterprise Datacenter IT projects Lead and participate in enterprise technical initiatives and cross-functional projects Mentor and coach junior system administrators Collaborate with cross-departmental teams and communicate effectively through written documentation, verbal communication, and presentations Required Qualifications Associate's degree, technical training certificate, or equivalent combination of education and experience Minimum of 5 years of related technical experience supporting enterprise or datacenter-level IT environments Proven experience supporting: Microsoft Windows Server environments Linux operating systems Enterprise Microsoft products and management tools VMware virtualization platforms Experience with backup and recovery, system patching, performance tuning, and capacity planning Experience with enterprise storage solutions and infrastructure optimization Experience using industry-standard datacenter physical security tools and applications Working knowledge of DCIM tools and datacenter infrastructure management Preferred / Additional Skills Basic knowledge of scripting and programming languages, including: PowerShell Visual Basic .NET C# Strong troubleshooting skills with the ability to independently resolve highly complex technical issues Demonstrated ability to work with minimal supervision Proven leadership skills and experience leading technical efforts and projects Ability to mentor junior technical staff Excellent interdepartmental communication skills (written, verbal, and presentations) Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085

Description: Oak Grove Technologies, LLC, a dynamic and fast-growing federal contractor, is seeking a highly skilled and motivated Red Cyber Operator to support advanced Red Cyber operations through the execution of red team assessments, offensive cyber operations, and penetration testing. Oak Grove Technologies is a Service-Disabled Veteran-Owned Business based in Raleigh, NC, with a Test and Training Center located near Fort Bragg and Camp Mackall. With over 20 years of expertise in training, consulting, technology, and operational support, the company provides services to the military, government, and law enforcement. Committed to excellence, innovation, and national security, Oak Grove Technologies fulfills federal defense contracts and actively supports veterans through sponsorships and events. Driven by its mission-focused approach, the company seeks top talent to develop impactful solutions. Oak Grove Technologies offers a competitive compensation and benefits package. Requirements: What You'll Be Doing: Cyber Red Team Assessments, Penetration Testing, Offensive Cyber Operations. Performing penetration testing / red team operations to help validate the security of our nation's most critical systems. Sharing your expertise and insight to direct the activities of mid-level operators to guide the team in accomplishing their mission objectives. Antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering Leveraging your expertise with tools like Cobalt Strike to discover vulnerabilities and exploit them to achieve mission objectives. Quickly crafting new scripts and capabilities on-the-fly during operations to ensure you have the capabilities you need for mission success. Working hand-in-hand with our expert development team to ensure design and development of long-term capabilities to enable your mission success. What Desired Skills You'll Bring: Offensive Cyber experience, DoD Cyber Red Team Experience, or corporate Red Team experience. Expertise in antivirus evasion, EDR evasion, offensive infrastructure, phishing and social engineering campaigns, and/or penetration testing of critical infrastructure, networking, IoT, and wireless devices. Red Team Apprentice Course (RTAC), Red Team Journeyman Course (RTJC), Certified Red Team Operator (CRTO) certification, Rogue Ops- Red Team 1 (ROPS), Offensive Security Certified Professional (OSCP), Global Information Assurance Certification, (GIAC) Exploit Researcher & Advanced Penetration Tester (GXPN), GIAC Penetration Tester (GPEN), and/or GIAC Web Application Penetration Tester (GWAP) or equivalent red team / penetration testing certifications. What Required Skills You'll Bring: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Must pass the DCART Operator Aptitude Test using Cobalt Strike before joining DCART as an Operator. Experience as an operator conducting red team assessments, offensive cyber operations, or penetration testing. Mid-Level Operators: 1 year of experience conducting red team assessments, offensive cyber operations, or penetration testing, with 3+ years desired. Senior Level Operators: 3+ years' experience in conducting red team assessments, offensive cyber operations, or penetration testing and ability to direct the activities of mid-level operators, with 5+ years desired. Must hold an IAT Level III certification as defined and described in DoDD 8570.01, 8570.01-M, 8140.01-03, and as amended. Willingness and ability to travel 15% (CONUS/OCONUS). Security Clearance Requirements: U.S. Citizenship and an active Top Secret SCI security clearance is required for this position. Compensation and Benefits: Competitive Salary, PTO, Health Benefits. If you are a highly motivated Red Team Cyber Operator and ready to apply your expertise in a high-impact role, we encourage you to join our mission in supporting national security efforts while working with cutting-edge technologies. Oak Grove Technologies is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Oak Grove Technologies, LLC participates in E-Verify to determine an individual's identity and employment eligibility to work in the United States. E-Verify is a service of DHS and SSA. PI7a822f230b5c-1957

This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training

GENERAL SUMMARY The Forward Deployed Platform Application Developer builds, configures, tests, and supports user-facing solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms. This field-facing role works closely with operational users and the Forward Deployed Process Lead to translate workflow and business needs into practical technology solutions, including workflows, automation, AI agents, dashboards, data visualizations, and other user-facing tools that improve efficiency, data quality, and user experience. ESSENTIAL RESPONSIBILITIES Builds, configures, and supports solutions within Skypoint, Salesforce Nonprofit Cloud, and other approved enterprise platforms Develops and maintains workflows, automation, AI agents, dashboards, reports, and user-facing tools Translates operational and business requirements into practical platform solutions in partnership with operational leaders and end users Tests, refines, deploys, documents, and supports platform solutions to ensure usability, reliability, security, and adoption Administers Salesforce Nonprofit Cloud including users, permissions, workflows, reports, dashboards, and automation tools Collaborates with BI, data, and technical teams to support reporting, integration, and data quality requirements Troubleshoots issues and escalates advanced infrastructure, cybersecurity, integration, or data engineering needs as appropriate Supports continuous improvement of workflows, system usability, automation, and user experience across enterprise platforms Follows organizational governance, security, change management, and documentation standards Performs other duties as assigned JOB SPECIFICATION Bachelor's degree in Computer Science, Information Systems, Business, or related field preferred; equivalent experience considered Experience administering, configuring, or supporting enterprise application platforms required Experience with Salesforce administration, configuration, or platform development preferred Experience or strong interest in Skypoint, AI platforms, automation tools, dashboards, analytics, or data visualization preferred Ability to build workflows, automation, dashboards, AI agents, and user-facing tools using low-code or no-code platforms Strong technical problem-solving skills and practical application development mindset Basic understanding of data structures, reporting, integrations, governance, and system-to-system data flow Ability to translate business requirements into effective platform solutions Experience testing changes, troubleshooting issues, supporting users, and documenting configurations preferred Salesforce Administrator or Developer certification preferred Local travel required Healthcare, payer/provider, PACE, senior care, value-based care, or HIPAA experience preferred Covid vaccine preferred. EEO Statement Element Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability. Element Care is committed to valuing diversity and contributing to an inclusive working environment. Compensation details: 00 Yearly Salary PIef07d8c50c1e-5870

CONTINGENT UPON FUNDING AND AWARD JOB SUMMARY Corvus Consulting, LLC is seeking a PKI Engineer to support the evaluation, testing, development, deployment, and maintenance of Public Key Infrastructure (PKI) solutions and services in a secure, mission-focused environment. This role is primarily remote; however, candidates must be local to the Aberdeen Proving Grounds, MD area and available to attend in-person meetings as needed. The ideal candidate will play a key role in designing and sustaining secure PKI architectures, ensuring compliance with security standards, and supporting critical infrastructure initiatives. This position offers the opportunity to work closely with a collaborative technical team to deliver reliable, scalable, and high-impact cybersecurity solutions supporting government and defense-related missions. RESPONSIBILITIES Evaluate, test, develop, deploy, and maintain PKI services and solutions Collaborate with team members to identify improvement opportunities and design efficient, robust solutions Develop automated services to improve usability and streamline PKI processes Support certificate lifecycle management, including issuance, renewal, revocation, and policy compliance QUALIFICATIONS: Minimum Qualifications include: Active DoD Secret clearance Strong understanding of Public Key Infrastructure (PKI) Hands-on experience designing, setting up, and operating PKI components Experience working with multiple PKI products Knowledge of certificate policies, certificate contents, and the certificate lifecycle Experience automating the certificate lifecycle Preferred Qualifications: Intermediate to senior-level PKI knowledge Strong Linux experience Solid understanding of asymmetric cryptography concepts and applications Experience supporting Army tactical networks and understanding their operational impacts Corvus Consulting, LLC. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Corvus Consulting, LLC, will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information. Reasonable accommodations that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds. Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities. Compensation details: 00 Yearly Salary PI6b6-

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 Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. 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: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • 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 train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • 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 a noisy 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 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. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • 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 You will be required to work shift work that will include days/nights/weekends/holidays. 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. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment 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, OR, Umatilla - 27.00 - 48.00 USD hourly

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD

Job Description Job Description No subs- No sponsorship Remote AI Engineer (Mid-Senior) United Global Technologies (UGT) Remote (U.S.), Full-time UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed - and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio. WHAT YOU'LL DO - Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate. - Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths. - Architect scalable data pipelines - aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems. - Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages. - Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM. - Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform. - Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI). - Mentor a junior AI engineer and help establish engineering conventions and onboarding standards. WHAT WE'RE LOOKING FOR (REQUIRED) - 5+ years of professional software / AI engineering experience, with a strong Python foundation. - Hands-on experience building LLM / RAG applications - retrieval, chunking strategies, prompt orchestration, and evaluation. - Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini. - Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent). - Practical understanding of security and data governance, including handling of sensitive or controlled data. - U.S. citizenship or permanent residency (supports a federal / DOE environment). - Ability to provide consistent support during Pacific Time core business hours. NICE TO HAVE (PREFERRED) - Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment. - Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance. - Experience using Microsoft Copilot for enterprise RAG use cases. - Experience integrating application and AI logging into a SIEM. - Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge. EMPLOYMENT & ELIGIBILITY - Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role). - Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required. - Must reliably support Pacific Time core business hours. - U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work). - Government-furnished equipment provided for the engagement. ABOUT UGT United Global Technologies, Inc. (UGT) is a Charlotte, NC-based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.

Job Description Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of "Blue Sky Coming". NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. About the Position We are seeking a senior OS / kernel engineer to join our SkyOS team. The team is responsible for the design and development of NIO's full-domain vehicle operating systems. The position will explore new ideas and designs that can make systems software faster, more dependable, and intelligent, from proof of concept to final production quality. You will have the opportunity to work on almost every layer of systems software, including kernel, networking, file system, drivers, hypervisor, libc, build system, etc, to optimize the system from high-level architecture down to the choice of assembly instructions, to bring high-impact innovations onto production systems by collaborating with engineering teams. If you enjoy building systems from scratch, writing high quality system code, optimizing performance, and shaping the future of systems software for intelligent EVs, the stage is ready for you. Responsibilities Prototype and evaluate advanced systems software concepts, including kernels, file systems, drivers, and networking, to improve system performance, safety, and dependability. Design, implement, and optimize critical low-level system components to fulfill strict real-time performance and safety goals. Contribute to the long-term systems software architecture and help guide technical decisions within the smart EV infrastructure. Collaborate closely with broader engineering teams to transition prototypes and advanced concepts into highly reliable, production-ready deployments. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields. Strong background and hands-on experience in operating system internals, virtualization, or system security. Solid understanding of computer hardware architecture, with practical experience in at least one of the following: x86, Arm, or RISC-V. Proficiency in C, assembly, and/or Rust. Proven ability to navigate, debug, and improve complex, low-level codebases. Strong troubleshooting skills to diagnose and resolve complex system-level performance, memory, and stability issues. Ability to work independently on ambiguous technical problems while remaining a strong, communicative team collaborator. Preferred Qualifications Master's or Ph.D. in Computer Science, Engineering, or a related field. Familiarity with the latest academic research in systems (e.g., papers from SOSP, OSDI, ASPLOS) and a track record of applying these concepts to solve industry problems. Experience modifying, extending, or building core system software components (such as custom kernel modules, hypervisors, real-time operating systems (RTOS), or network stacks). Exposure to microkernel architectures or automotive/safety-critical operating systems. Familiarity with formal verification methods or automotive safety standards (e.g., ISO 26262). Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with Brokerage Link option Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time 13 Paid Holidays a year Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO) Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO) Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance Commuter benefits Mobile Cell Phone Credit Free lunch and snacks Onsite gym Employee discounts and perks program Compensation The US base salary range for this full-time position is $143,200.00 - $186,000.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Job Description Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster RabbitMQ AWS RDS PostgreSQL Redis Cluster DevOps Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. Collaboration: Experience working directly with product engineers to improve workflows incrementally. Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): Familiarity with backend languages like Go or Rust. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: Competitive salary with future equity options Opportunities to work with cutting-edge technologies and evolve our platform. Flexible working hours and a remote-friendly environment. Professional growth through certifications, conferences, and internal training. Collaborative culture focused on innovation and operational excellence.

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details

Job Description Job Description Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications. Grey Matters Defense Solutions is seeking a talented and dedicated, Mission Engineer About the job: Grey Matters Defense Solutions is looking for experienced multi-INT analysts/developers to join our Sensor to Shooter Mission Engineering team to help solve mission-focused operational problems. Stationed at customer locations, the Mission Engineering team provides support for local operational needs while also helping integrate with Intel Community and DoD tools, services, and data. Key Responsibilities: The Mission Engineering team is responsible for creating and integrating capabilities into Sensor to Shooter workflows, capturing customer needs, and providing onsite expertise through development of scripts, models, automations, and other creative techniques to overcome mission-limiting capability gaps. Ideal additions to this team will be broadly experienced across data types and intelligence disciplines and are highly motivated problem-solvers. New Mission Engineers must have exceptional communication skills and function effectively within a team as well as independently. Dedication to the mission and an ability to generate creative solutions to hard mission problems is a must. Willingness to travel in support of exercises, surge support, etc. as needed to support Customer requirements. About you: An active Top Secret security clearance 8+ years of IC/DoD analyst experience 5+ years of mission capability experience 5+ years of experience with common DoD analysis and visualization applications Demonstrated ability to communicate with peers, leadership, and customers Excellent analytical skills and problem-solving skills High level of self-initiative and self-motivation with the ability to work under minimal supervision Ability to work effectively in small team settings to solve complex problems Demonstrated ability to bring new or innovative solutions to problems Preferred Skills: Coding experience in a modern software language such as Python, R, or JAVA Broad community knowledge of sensors and disciplines and the ability to leverage and communicate this intelligence, surveillance, and reconnaissance experience to teammates and customers Experience in processing and visualizing data and an understanding of the processes and procedures necessary to request, coordinate, and task collection Knowledge of customer tasking, collection, and processing tools to perform limited analytics and development Understanding of Agile development practices and procedures with the ability to act as a product owner for established needs Salary Range: $100,000 - $160,000 Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits: SEP IRA 25% of base salary PTO Six weeks IBA 12.5% Employee assistance program Employee discount Flexible spending account Health savings account Referral program Grey Matters Defense Solutions' most valuable assets are the more than 60+ employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products. Join our team of exceptional developers, architects and data scientists! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by JazzHR 7VTpjIgd2h

Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.