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Job Description Job Description Purpose Information technology is foundational to how Citadel Aviation operates at every site, from the systems that move work across the hangar floor and the shops to the platforms that support administrative staff. Secure, reliable network and identity infrastructure enable Citadel to operate without interruption, protect its work and its people, and meet its obligations to customers and partners. This role owns the design, operation, and security of Citadel's network and identity infrastructure across every Citadel site: reliable connectivity, a hardened identity platform, and a security posture that scales with the business. The role serves as Citadel's internal technical counterpart to the company's security SOC and managed detection and response (MDR) provider, partners with IT leadership and peers across IT and the business, owns assigned IT projects, and is accountable for the reliability of the network and the strength of the security posture across every site. Environment The technology stack includes Palo Alto next-generation firewalls, Cisco switching, Meraki wireless, Microsoft 365 with Entra ID for identity, Microsoft Defender for Endpoint and Intune for endpoint security and management, Tenable for vulnerability management, and KnowBe4 for security awareness. Security operations are delivered in partnership with an external SOC and MDR provider. Essential Job Functions Own the design, operation, and security of Citadel's network infrastructure across all sites. Maintain firewalls, switching, wireless, ISP connectivity, and backup connectivity. Design and implement upgrades to support growth, lead network design and turn-up for new Citadel facilities, and maintain secure connectivity between sites, between sites and the cloud, and for remote users. Own the design, operation, and security of Citadel's voice and unified communications infrastructure, including the company's calling system, VOIP infrastructure, and integration with Microsoft 365 communications. Maintain consistent network and security service quality across all Citadel sites. Travel between sites is heavier during the initial standardization phase across existing sites and during turn-up of new sites, and lighter once the environment reaches steady state. Perform in line with established KPIs and service-level targets, including network availability, security patch SLA, mean time to remediate vulnerabilities, mean time to respond to security incidents, and related measures. Track and report performance regularly to IT leadership. Serve as the internal technical counterpart to the company's security SOC and MDR provider, who operate detection, monitoring, and response. Partner closely on detection tuning, alert triage, investigation, and remediation. Own endpoint security policy across the Microsoft 365 platform, including Microsoft Defender for Endpoint configuration, conditional access, identity hardening, and Intune security baselines. Partner with the IT manager and the support team on day-to-day operation and enforcement. Own technical email security controls, including anti-phishing, anti-malware, secure transport, and tenant security configuration. Partner with the IT manager on user-facing reporting and response workflows. Run Citadel's vulnerability management process in partnership with the MDR provider. Operate scanning tooling, prioritize findings, and drive remediation across the IT organization. Own identity and access management hardening, including multi-factor authentication, conditional access policy, privileged access controls, and account lifecycle hygiene. Set program direction and content for Citadel's cybersecurity awareness program, including training plans, phishing simulation strategy, and ongoing user education topics. Partner with the IT manager, who runs the user-facing activities and reporting. Conduct third-party security review of new vendors, software platforms, and integrations before they enter the environment. Assess data handling, integration security, and ongoing risk; track approval and remediation. Coordinate Citadel's response to external security assessments, including penetration testing, cyber insurance reviews, customer security questionnaires, and regulatory inquiries. Scope engagements, work with vendors, maintain evidence, and track remediation. Deliver assigned IT projects within networking and security, and contribute to broader IT initiatives. Coordinate with IT leadership and peers, and engage external specialists and contractors as needed. Partner with IT leadership and peers in infrastructure, support, and software development on initiatives originating in those service lines. Contribute network and security expertise to keep delivery on track. Own vendor relationships within the network and security portfolio, including ISPs, network hardware, security tooling, and specialized contractors. Take on broader IT vendor relationships as assigned. Own the network and security operating budget, with broader budget scope as assigned. Track expenses, project upcoming needs, and provide input on annual IT budget planning. Own the on-call rotation for network and security incidents. Drive diagnosis, coordinate internal and external resources, and engage directly in resolution. Own incident communication for network and security events. Notify IT leadership and impacted business stakeholders, provide regular status updates throughout an incident, and deliver post-incident summaries with root cause and follow-up actions. Conduct periodic internal security audits across user access, identity hygiene, configuration baselines, vulnerability posture, and policy adherence. Remediate findings in partnership with the IT manager. Maintain and enforce IT network and security policies, procedures, runbooks, technical documentation, and asset inventory. Contribute to the creation and modification of policies as needed. Identify and propose improvements in network design, security posture, monitoring coverage, and tool consolidation. Deliver approved initiatives. Non-Essential Functions Running cables and installing hardware. Other duties as assigned. Minimum Qualifications or Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Network Engineering, or a related technical discipline. Equivalent professional experience considered in lieu of degree. 5+ years of progressive experience in enterprise network engineering and information security. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Experience operating in partnership with a managed detection and response (MDR) provider or security operations center (SOC). Experience with vulnerability management, including scanning tooling (Tenable Nessus or comparable), prioritization, and driving remediation across an organization. Experience operating in an environment with regular external security assessments (penetration testing, cyber insurance reviews, customer security audits) and remediating findings under deadline. Experience supporting multi-site operations or production environments where uptime, security, and consistency of service are operational requirements. Experience delivering IT projects from scope through completion, including scheduling, vendor coordination, and budget tracking. Demonstrated ability to communicate technical concepts clearly to non-technical business stakeholders and to senior leadership. Demonstrated experience adhering to and enforcing security best practices across network, endpoint, and identity domains. Preferred Qualifications or Experience Experience in aviation, aerospace, manufacturing, MRO, or other regulated operational environments. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Active IT industry certifications such as CompTIA Security+ or Network+, Cisco CCNA / CCNP, Palo Alto PCNSA / PCNSE, Microsoft Security or Identity certifications, CISSP, GIAC, or comparable. Experience designing and bringing up network infrastructure at new sites or facilities. Experience with SD-WAN, zero-trust architecture, network segmentation, or related modern network design patterns. Familiarity with security frameworks (NIST, CIS) and audit or compliance work. Experience with security awareness platforms (KnowBe4 or comparable). Experience administering identity and access controls in a hybrid or cloud-first environment. Experience with VOIP or unified communications infrastructure. Supervisory Responsibilities This position has no direct reports. Coordinates day-to-day with external network and security contractors, managed-service providers, and the company's SOC and MDR partner. Provides technical guidance and security expertise to IT team peers and to business stakeholders as needed. Knowledge, Skills, and Other Attributes Deep technical expertise across enterprise networking (firewalls, switching, wireless, routing) and information security (endpoint, identity, vulnerability management, security monitoring). . click apply for full job details

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. Amazon Web Services (AWS) is a comprehensive, evolving, and growing business unit within which provides cloud services. Since early 2006, AWS has provided a highly reliable, scalable, low-cost infrastructure platform that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud spans 99 Availability Zones within 31 geographic regions around the world, with more regions being added every year. If you are interested in a career working in a high growth, fast-paced and Customer focused work environment then AWS may be the right fit for you. The AWS Energy Team works across AMER to supply reliable and carbon free energy to our data centers. The team is seeking a results-orientated individual to join as a Transmission Systems Manager. In this role you will lead transmission planning activities that allow AWS to identify sites for renewable energy projects and power supply opportunities for existing and future AWS data centers. This role provides an opportunity for a technically minded individual to further advance their career within the clean energy sector. As a Transmission Systems Manager you will manage a portfolio of power flow analysis, due diligence and transmission studies using industry tools and in partnership with engineering consultants. The successful candidate will possess strong project management and communication skills and an ability to collaborate with cross-functional teams (Energy, Legal, Finance, Supply Strategy, Real Estate and Capacity Planning) on reporting status, issues, opportunities and key risks across a portfolio of power projects. Key job responsibilities - Build, develop, and maintain transmission planning models to support Amazon's energy growth strategies. - Conduct in-house power flow transmission studies, including generation deactivation and load addition analyses. - Analyze and mitigate transmission constraints in collaboration with internal teams (Energy, Procurement, Infra Energy, Real Estate, Design Engineering, Field Engineering) and external stakeholders (Utilities, RTOs). - Perform technical due diligence assessments on power connection options, evaluating costs, timelines, and key risks for proposed power projects. - Aggregate and manage datasets from multiple sources to deliver comprehensive insights on energy projects, supporting decision-making in renewable energy integration and load capacity planning. - Coordinate with cross-functional teams to ensure alignment of transmission planning with Amazon's overall energy strategy. - Manage relationships with consultants and external partners through contractual documents and agreements. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience in managing multiple, competing priorities simultaneously - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - 3+ years of experience in transmission planning, power systems analysis, or a related energy discipline. - Hands-on experience with power flow analysis tools (e.g., PSS/E, PowerWorld, PSCAD, TARA or equivalent). PREFERRED QUALIFICATIONS - Master's degree in Electrical, Mechanical, Power Engineering, or a related field - Experience working with RTOs/ISOs (e.g., PJM, MISO, WECC, SPP, ERCOT) on transmission interconnection or planning studies. - Familiarity with renewable energy integration, generation interconnection processes, and large load interconnection. - Experience supporting data center, hyperscaler, or large industrial load growth initiatives. - Proficiency in GIS tools and data management platforms for transmission system visualization. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 92 000.00 USD annually USA, WA, Seattle - 92 000.00 USD annually

Job Description Job Description Description: MDVIP: Transforming Primary Care, One Patient at a Time MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. Position Summary The Network Security Engineer is an individual contributor role reporting to the Sr. Network Operations Manager. This is a contract-to-perm position (6-month contract), based in Boca Raton, FL (Hybrid), supporting the Boca Raton and Atlanta (ATL) data centers. This role provides dedicated engineering capacity for the ownership, hardening, and reliability of the organization's on-premises and hybrid infrastructure. The Network Security Engineer sustains a predictable remediation cadence across recurring security obligations - including monthly patching, zero-day response, vulnerability remediation, OS hardening, and cloud security score - while maintaining core platform services that underpin 24/7 operational reliability. This role is critical to reducing key-person risk, closing the capacity gap between rising compliance/audit workloads and existing staffing, and ensuring remediation tied to penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments is completed on schedule. Key Responsibilities Security Remediation & Compliance Execute remediation for findings from penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments, ensuring items are tracked to closure within defined SLAs; work with Project Managers, technology stack owners, and third-party resources to ensure timely delivery. Lead monthly patching cycles and rapid zero-day response across on-prem and hybrid server environments. Apply security remediations on infrastructure appliances including Cisco switches, firewalls (Palo Alto, Fortinet, Cisco Meraki), Linux appliances, and the virtual server environment and SANs (VMware, vSphere). Perform vulnerability remediation and OS/system hardening in line with established security baselines and audit requirements. Maintain a remediation burndown and support reporting on patch/vulnerability KPIs, including critical remediation timelines and cloud security score. Core Platform & Infrastructure Ownership Track Azure Security Score trends and drive remediation of flagged recommendations, providing regular posture reporting to leadership and audit stakeholders. Manage the full PKI infrastructure/SSL certificate lifecycle, including issuance, renewal, tracking, and remediation of expiring or non-compliant certificates, and manage key vault rotations for critical cloud-hosted applications. Utilize automation tools to deploy required machine certificates across the organization. Manage syslog retention and forwarding across on-premises and cloud infrastructure, supporting the Security team's SIEM ingestion, correlation, and compliance reporting needs. Administer network micro-segmentation using Illumio, including policy design, enforcement, and ongoing tuning. Review and administer security tools to harden network edge security, including next generation firewalls, SD-WAN, and switching, striving for zero trust networks. Manage wireless security, including network access control (NAC), utilizing Cisco wireless and HPE Aruba ClearPass. Administer Identity and Access Management/Privileged Access Management (IAM/PAM) using BeyondTrust for remote server access, including access reviews and privileged session controls. Manage and review Azure RBAC roles and access privileges, and perform Active Directory hardening in compliance with discovered vulnerabilities and best practices. Review and secure SDLC servers and hosted applications, both on-premises and in Azure, applying measures to keep all public endpoints secure. Operational Reliability & Risk Reduction Balance day-to-day operational demands (SSL renewals/rotations, security remediation, configuration hardening, troubleshooting) with planned, time-bound deliverables. Identify and reduce single-point-of-failure risk by documenting procedures and cross-training across PKI, AD, cloud access, segmentation, and patching functions. Partner with the Azure DevOps and Security teams to align on-prem/hybrid remediation with broader cloud governance and security initiatives. Escalate emerging risks, audit exceptions, and outage-driving conflicts between operational and remediation priorities to leadership. Key Competencies Analytical: synthesizes complex or diverse technical information, using intuition and experience to complement data. Collaboration: openly partners with security operations, DevOps, and business stakeholders, valuing diverse perspectives and building productive relationships. Communication: listens and responds effectively to stakeholder needs; writes and speaks clearly and persuasively. Initiative and personal accountability: identifies and creates solutions independently, sets and meets deadlines, and reports timely and prepared. Problem solving/decision making: thinks strategically, drawing on diverse sources to identify issues, risks, and trends and determine optimal, timely solutions. Strong troubleshooting skills and the ability to manage competing priorities between reactive operational work and scheduled remediation projects. Ability to support 24/7 platform reliability, including scheduled evening and weekend work for monthly patching cycles, zero-day response, and maintenance outside normal business hours. Ability to travel periodically between the Boca Raton, FL and Atlanta (ATL) data centers as needed. Requirements: Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field; at least five (5) years of related business experience in network security, systems engineering, or infrastructure operations in an enterprise environment, or an equivalent combination of education and professional experience. Hands-on experience with both on-premises and cloud infrastructure platforms, including vulnerability management, patch management, and OS hardening across Windows and/or Linux server environments. Experience with PKI/SSL certificate lifecycle management and IAM/PAM tools (e.g., BeyondTrust or equivalent). Experience partnering with security operations/SIEM teams to onboard new log sources and ensure reliable syslog delivery from network infrastructure. Working knowledge of hybrid Active Directory/Microsoft Entra ID environments and familiarity with network segmentation concepts and tools (e.g., Illumio or comparable micro-segmentation platforms). Experience supporting audit and compliance remediation cycles, such as HIPAA assessments, SRAs, or penetration test findings. Proficiency with firewalls and network security appliances (Palo Alto, Fortinet, Cisco Meraki, Cisco switches), SD-WAN/next-generation firewall administration, and wireless security/NAC (Cisco wireless, HPE Aruba ClearPass). This is a hybrid role based in Boca Raton, FL, with periodic on-site support required at the Boca Raton and Atlanta (ATL) data centers. At no time may work be performed, or computer systems accessed, from outside of the U.S. Preferred Qualifications Vendor-specific certifications, Microsoft Azure, Security+, CISSP, GIAC, or an equivalent security certification. Scripting/automation experience (e.g., PowerShell) for remediation and hardening tasks. Why Join MDVIP? Be part of a mission-driven organization leading innovation in personalized healthcare. Drive transformation and growth in a dynamic, fast-paced environment. Competitive Compensation: Attractive base salary complemented by performance-based incentives. Comprehensive Benefits: Health, dental, vision insurance, and retirement plans. Professional Development: Access to ongoing training and leadership development programs. Positive Work Environment: Consistently recognized as a Great Place to Work , fostering a culture of collaboration and excellence. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist. Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements . click apply for full job details

Senior Software Engineer - .NET & Enterprise Systems About the Role We are seeking a Senior Software Engineer to join an enterprise technology team focused on building, maintaining, and modernizing critical business applications. This is an opportunity for an engineer who enjoys working within complex, established environments and understands that great software engineering is about more than writing code. You'll be responsible for understanding how systems support the business, translating real-world requirements into thoughtful technical solutions, and improving existing applications without disrupting the operations that depend on them. The current environment is heavily centered around C#, .NET, and SQL Server, while the team is actively modernizing its technology foundation. You'll have the opportunity to contribute to initiatives involving Linux, Docker, containerization, cloud-native technologies, and more portable data solutions. The ideal candidate is comfortable operating across the full software development lifecycle and can move between technical implementation, architecture, requirements gathering, and collaboration with business stakeholders. What You'll Do Design, develop, maintain, and modernize enterprise applications using C# and .NET, including .NET Framework and modern .NET Take ownership of significant portions of the software development lifecycle, including requirements gathering, technical design, development, testing, deployment, and ongoing support Work with SQL Server data layers, including schema design, complex queries, stored procedures, and performance optimization Contribute to the modernization and migration of applications toward Linux-based container environments Containerize .NET applications using Docker and contribute to orchestration strategies using Kubernetes or comparable technologies Collaborate directly with business stakeholders to understand workflows, clarify requirements, and translate business needs into technical solutions Challenge requirements and approaches when necessary to identify potential risks, gaps, or opportunities for improvement before development begins Build and consume REST APIs and integrate applications with internal and third-party systems Apply strong software design principles, coding standards, architectural patterns, and development practices Identify technical debt and help develop practical, prioritized plans for addressing it Troubleshoot and support applications in production environments Mentor less experienced developers and contribute to the overall growth of the engineering team Document technical decisions, system behavior, and implementation details to support long-term maintainability What We're Looking For Technical Experience Strong professional experience with C# and the .NET ecosystem Experience working across both .NET Framework and modern .NET Strong understanding of object-oriented design, SOLID principles, and common enterprise design patterns Strong SQL Server experience, including database design, complex queries, stored procedures, and performance tuning Experience with Docker and application containerization Familiarity with Kubernetes or similar container orchestration platforms Comfortable working in Linux environments, including troubleshooting and application operation Experience with Git, CI/CD pipelines, and production deployments Experience building and consuming RESTful APIs Understanding of distributed systems and application integration patterns Business & SDLC Experience Experience gathering, clarifying, and documenting business requirements Ability to understand complex business workflows and accurately translate them into software Experience owning or co-owning the end-to-end SDLC, beyond simply writing code Strong ability to evaluate requirements and identify when a request needs to be reconsidered or reframed Strong written communication skills, particularly around technical documentation and design decisions Ability to work effectively with both technical and non-technical stakeholders Working Style Highly autonomous and capable of managing priorities, commitments, and quality without close supervision A systems thinker who considers downstream impacts before making changes to shared systems Comfortable working within complex, established applications and environments Honest and transparent about technical risk, scope, and delivery timelines Comfortable navigating ambiguity and bringing structure to unclear requirements Collaborative and willing to mentor and support other engineers Takes ownership of problems from discovery through resolution Nice to Have Experience migrating .NET applications from Windows environments to Linux-based containers Experience with alternative relational databases such as PostgreSQL or MySQL Exposure to cloud-native application architecture and open-source technologies Experience with workflow or BPM platforms Experience designing workflow or state-machine logic Experience working in regulated or compliance-driven environments Familiarity with message queues, event-driven architecture, or asynchronous integration patterns Experience working across Microsoft and non-Microsoft technology ecosystems Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied . click apply for full job details

Cloud Architect (Azure) Location: Remote (U.S.) Preference: Middle Tennessee candidates preferred Type: Direct Hire Compensation: $170,000 Base Salary Travel: Minimal travel, occasional trips to Louisville, KY as needed We're looking for a Cloud Architect to help lead a major infrastructure transformation within a healthcare environment. The organization is in the middle of bringing technology services in-house and moving away from a long-standing managed environment. A big part of that effort involves evaluating existing workloads, determining what belongs in Azure, and helping build a long-term cloud strategy that makes sense for both the business and its clinical operations. This isn't a role where you'll inherit a large architecture team. We're looking for someone comfortable operating independently, making recommendations, and helping establish best practices as cloud capabilities continue to grow. If you've led Azure initiatives, assessed legacy workloads, and enjoy helping organizations modernize their infrastructure, this is the kind of opportunity where your work will be highly visible. What You'll Be Working On Evaluate existing infrastructure and determine cloud readiness for Azure migration Develop cloud architecture standards, roadmaps, and long-term strategy Partner with infrastructure, security, and business teams on modernization efforts Lead architectural decisions around Azure services, governance, scalability, and resiliency Design secure and sustainable cloud solutions for both business and clinical environments Support data center transformation initiatives and workload migrations Assist with acquisition-related integrations and cloud planning Create architecture documentation, standards, and implementation guidance Advise leadership on cloud adoption, modernization priorities, and technology investments What We're Looking For Healthcare industry experience is required 7+ years of infrastructure, cloud, or enterprise architecture experience Strong Azure architecture experience in large environments Experience evaluating and migrating on-prem workloads to Azure Experience creating cloud strategy, governance models, and architectural standards Strong understanding of Microsoft cloud technologies and ecosystem services Experience working directly with technical and business stakeholders Ability to operate independently and drive initiatives forward Strongly Preferred Microsoft Azure Solutions Architect experience Microsoft 365 architecture experience Microsoft Entra ID Hybrid identity environments Exchange Online Intune SharePoint Online PowerShell automation Microsoft Graph Enterprise migration and modernization projects Multi-site healthcare environments By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

L5 Network Engineer (AWS Cloud) DETAILS Location: 100% Remote Position Type: 3M+ Contract (w/ possibility of converting to fulltime) Hourly / Salary: to $120W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Network Engineer L5 for a 3M+ Contract (w/ the possibility of conversion to fulltime) that is remote. The Network Engineer L5 will support a large-scale Connected Enterprise initiative focused on modernizing and optimizing network infrastructure across distributed donation centers and manufacturing facilities. The Network Engineer L5 will be heavily focused on enterprise-grade, multi-site networking within hybrid cloud environments, leveraging AWS Cloud WAN, AWS Transit Gateway, satellite connectivity, and mesh Wi-Fi technologies to deliver resilient, secure, and scalable connectivity solutions. The Network Engineer L5 will work closely with cross-functional teams to integrate on-prem and cloud-based environments, support IoT connectivity initiatives, and ensure network segmentation, compliance, and operational reliability across the enterprise landscape. The Network Engineer L5 is a highly hands-on engineering role requiring deep expertise in AWS networking, enterprise infrastructure design, and modern connectivity solutions, along with strong documentation and collaboration skills. AWS Network Architecture / Design - Designing and Implementing Resilient Multi-Site Network Architectures Utilizing AWS Cloud WAN and Transit Gateway Satellite / Wireless Connectivity - Configuring and Deploying Amazon Leo Satellite Connectivity and Eero Mesh WiFi Solutions Across Manufacturing Sites and Plasma Centers Network Security / Compliance - Establishing Network Segmentation / Security Policies / Compliance Controls Aligned to Regulatory Requirements Hybrid Connectivity / Cloud Integration - Integrating OnPrem and Cloud Network Environments Ensuring Seamless Connectivity Between AWS / Enterprise Systems / Customer Facilities IoT Connectivity / Data Integration - Supporting IoT Sensor Connectivity and Data Ingestion Pipeline Configuration Across Distributed Environments Documentation / Operational Readiness - Developing and Maintaining Network Architecture Diagrams / Runbooks / Operational Documentation Cross-Functional Collaboration - Partnering Closely With DTLs and Cross-Functional Teams to Support Network Delivery and Operational Objectives JOB REQUIREMENTS Enterprise Networking - Demonstrating Enterprise-Grade Multi-Site Networking Expertise Across Distributed Infrastructure Environments AWS Cloud WAN - Designing and Supporting Global Network Connectivity Using AWS Cloud WAN Architectures AWS Transit Gateway - Implementing and Managing AWS Transit Gateway for Scalable Hybrid and Multi-VPC Connectivity Certifications - AWS Certified Advanced Networking / CCNA/CCNP (Routing / Switching / Network Architecture Expertise) / PCNSA (Supporting Security / Firewall Administration), etc. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Solution Architect / Principal Consultant (NW / DC / Security) DETAILS Location: Remote Position Type: 6M+ Contract (w/ likely extensions) Hourly / Salary: to $90W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Solution Architect / Principal Engineer for a 6M+ Contract (w/ likely extensions) that is remote. The Solution Architect / Principal Engineer will lead the design and delivery of enterprise-scale network and security solutions for a large Fortune 10 environment. The Solution Architect / Principal Engineer will own technical strategy across data center, WAN/LAN, cloud, and hybrid infrastructures, guiding multiple concurrent initiatives while ensuring solutions align with business objectives, security standards, and enterprise architecture requirements. The Solution Architect / Principal Engineer will serve as the technical leader and escalation point for complex networking and security challenges, driving architecture decisions, overseeing engineering teams, and providing governance from design through deployment. The ideal Solution Architect / Principal Engineer will possess deep networking expertise, broad cross-domain architecture knowledge, and the ability to influence stakeholders while delivering large-scale transformation and modernization initiatives. Enterprise Network / Security Architecture - Leading Design of Scalable / Resilient / Secure Infrastructure Solutions Across Data Center / Campus / Cloud / Hybrid Environments Aligning with Long-Term Business / Technology Strategies Technical Leadership / Solution Governance - Providing Architectural Oversight Across Multiple Concurrent Initiatives via Design Standards / Technical Validation / Governance of Solution Delivery Stakeholder Engagement / Solution Alignment - Partnering with Infrastructure / Security / Cloud / Business Teams Translating Complex Requirements into Actionable Technical Solutions Building Consensus Across Technical / Executive Stakeholders Engineering Leadership / Mentorship - Guiding / Mentoring Network / Security Engineers via Delegation / Technical Reviews / Quality Assurance and Adherence to Architectural Standards Architecture Documentation / Design Reviews - Developing / Presenting High-Level / Detailed Solution Designs / Technical Roadmaps / Implementation Plans Leading Architecture Reviews / Executive Briefings Strategic Advisory / Escalation Leadership - Serving as Senior Escalation Point for Complex Infrastructure / Security Challenges via Risk Identification / Strategic Recommendations / Enterprise Technology Leadership JOB REQUIREMENTS Enterprise Infrastructure / Architecture Experience (9+ years) - Enterprise Infrastructure Experience Network Architect / Security Architect / Solution Architect / Principal Consultant (5+ years) Enterprise Network Architecture (expertise) - Designing / Implementing Enterprise Networking Solutions Across Data Center / Campus / WAN / LAN / SD-WAN / Hybrid Cloud Environments Network Security Architecture (strong architecture-level knowledge) - Next-Generation Firewalls / Network Segmentation / Zero Trust / Identity Integration / Security Policy Governance Architecture Documentation / Executive Advisory - Developing / Presenting High-Level Designs (HLDs) / Low-Level Designs (LLDs) / Technical Roadmaps / Executive Architecture Recommendations Program Leadership / Multi-Project Management - Leading Multiple Large-Scale Infrastructure / Security Initiatives Simultaneously Managing Priorities / Dependencies / Risks / Stakeholder Expectations Enterprise Networking Technologies (hands-on) - Industry-Leading Networking Platforms (Cisco / Arista / Palo Alto and Similar Technologies) Cloud Networking / Security - Applying Strong Understanding of Cloud Networking and Security Principles Across AWS / Azure / Hybrid Cloud Environments Technical Leadership / Governance - Providing Design Oversight / Mentorship / Implementation Governance / Quality Assurance for Engineering Teams Senior Escalation / Strategic Problem Solving - Serving as Senior Escalation Point for Complex Network / Security / Infrastructure Challenges Within Large Enterprise Environments Executive Communication / Influence - Excellent Communication / Presentation Skills Influencing Technical Teams / Business Stakeholders / Executive Leadership Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Req ID: 378685 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Networking Advisor to join our team in Plano, Texas (US-TX), United States (US). This is a hybrid role, on-site at our client site several days per week. Only local candidates will be considered. The Disaster Recovery (DR) Specialist is responsible for leading the organization's disaster recovery and IT resilience program to ensure business continuity during system outages, cyber incidents, natural disasters, or other disruptive events. This role oversees the development, implementation, testing, and continuous improvement of disaster recovery strategies, recovery plans, and operational readiness across critical business and technology environments. The DR Manager collaborates with infrastructure, cybersecurity, cloud, application, network, and business stakeholders to establish recovery objectives, coordinate recovery exercises, manage crisis response activities, and ensure compliance with regulatory and organizational requirements. The role also provides leadership during disaster recovery events and drives continuous enhancement of recovery capabilities, governance, and resilience standards. The ideal candidate possesses strong expertise in disaster recovery planning, business continuity management, infrastructure operations, risk management, and stakeholder coordination, along with the ability to lead cross-functional teams in high-pressure situations. Basic Qualifications: 5+ years of Disaster Recovery/Risk Management Experience Additional Skills: Applied knowledge of risk management concepts Strong knowledge of systems and network administration (i.e., desktop, server) Knowledge and application of Globally Accepted Information Security Principles Strong knowledge of network security that pertains to communications, computer system environments and related infrastructures Thorough knowledge of server and desktop configurations that will protect systems from unauthorized access and software invasion Preferred: CISSP, GIAC, SSCP or CEH NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $87,720 - $131,580. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role We are seeking a Staff Software Engineer to architect, design, and develop Cloud Infrastructure management systems and platforms. You'll deliver end-to-end use cases and workflows for a vertically integrated AI-first Crusoe Cloud and play a crucial role in building systems that efficiently plan, monitor, deploy, and operate our infrastructure - directly contributing to key business revenue metrics. You'll be hands-on implementing and building platforms, tools, and frameworks with a focus on reliability, scalability, operational efficiency, and ease of use. Your expertise will help streamline infrastructure planning and management processes as we scale Crusoe Cloud by 10X and beyond. What You'll Be Working On Collaborate extensively across teams to architect, design, and implement physical infrastructure management software systems, availability platforms, and frameworks that meet the end-to-end needs of customers hosted on our AI infrastructure. Champion the reliability, scalability, and security of our systems and platforms. Develop workflows that drive efficiency and meet key business objectives and metrics. Design and implement high-performing, highly available cloud architectures optimized for both performance and cost-effectiveness. Streamline cloud deployment, configuration management, and operations by developing and maintaining effective platforms, interfaces, and automation tooling. Actively contribute to the evolution of our platform by collaborating closely with cross-functional development teams to ensure smooth integration and deployment. Mentor fellow engineers and contribute to team growth in collaboration with engineering managers. What You'll Bring to the Team A Bachelor's degree in Computer Science or Software Engineering and 10+ years of relevant industry experience. 10+ years of experience building and operating distributed systems at scale. Proven experience with building reliable, scalable, efficient, and secure cloud platforms and systems and effectively running them in production environments. Fluency in one or more programming languages such as Go, Rust, Java, or C++. A collaborative, platform-first mindset when working with development and operations teams to build, maintain, and drive adoption of a robust platform. A solid understanding of cloud security best practices and the ability to implement secure configurations. Excellent troubleshooting and problem-solving skills to tackle complex infrastructure challenges. Strong written and verbal communication skills. A commitment to Crusoe's company values. Bonus Points Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters. Experience working in a fast-paced startup environment. A passion for building energy-efficient, scalable AI infrastructure. Enthusiasm for sustainability and clean energy innovation. Benefits Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $209,000 - $253,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role We are seeking a Staff Software Engineer to architect, design, and develop Cloud Infrastructure management systems and platforms. You'll deliver end-to-end use cases and workflows for a vertically integrated AI-first Crusoe Cloud and play a crucial role in building systems that efficiently plan, monitor, deploy, and operate our infrastructure - directly contributing to key business revenue metrics. You'll be hands-on implementing and building platforms, tools, and frameworks with a focus on reliability, scalability, operational efficiency, and ease of use. Your expertise will help streamline infrastructure planning and management processes as we scale Crusoe Cloud by 10X and beyond. What You'll Be Working On Collaborate extensively across teams to architect, design, and implement physical infrastructure management software systems, availability platforms, and frameworks that meet the end-to-end needs of customers hosted on our AI infrastructure. Champion the reliability, scalability, and security of our systems and platforms. Develop workflows that drive efficiency and meet key business objectives and metrics. Design and implement high-performing, highly available cloud architectures optimized for both performance and cost-effectiveness. Streamline cloud deployment, configuration management, and operations by developing and maintaining effective platforms, interfaces, and automation tooling. Actively contribute to the evolution of our platform by collaborating closely with cross-functional development teams to ensure smooth integration and deployment. Mentor fellow engineers and contribute to team growth in collaboration with engineering managers. What You'll Bring to the Team A Bachelor's degree in Computer Science or Software Engineering and 10+ years of relevant industry experience. 10+ years of experience building and operating distributed systems at scale. Proven experience with building reliable, scalable, efficient, and secure cloud platforms and systems and effectively running them in production environments. Fluency in one or more programming languages such as Go, Rust, Java, or C++. A collaborative, platform-first mindset when working with development and operations teams to build, maintain, and drive adoption of a robust platform. A solid understanding of cloud security best practices and the ability to implement secure configurations. Excellent troubleshooting and problem-solving skills to tackle complex infrastructure challenges. Strong written and verbal communication skills. A commitment to Crusoe's company values. Bonus Points Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters. Experience working in a fast-paced startup environment. A passion for building energy-efficient, scalable AI infrastructure. Enthusiasm for sustainability and clean energy innovation. Benefits Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $209,000 - $253,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description About the Company : Sungrow North America is a leading provider of renewable energy solutions, specializing in the development and manufacturing of photovoltaic inverters and energy storage systems. The company offers a comprehensive range of products and services designed to optimize the performance and efficiency of solar power installations. Sungrow North America aims to provide sustainable and reliable energy solutions to meet the growing demand for clean power and is known for its commitment to innovation, high-quality standards, and exceptional customer service. Security Engineer - Network & Identity: The Security Engineer (Network & Identity) is a hands-on engineering role within the IT team responsible for designing, implementing, securing, and automating Sungrow USA's network security, PKI and certificate management, and identity & access infrastructure across on-premises, cloud, and SaaS environments. This role serves as the technical owner for network security architecture, cryptographic services, certificate lifecycle management, authentication, and access controls. The position focuses on Zero Trust security, network segmentation, certificate-based authentication, and identity protection to reduce organizational risk and enable secure business operations and platform ownership rather than SOC operations, threat monitoring, or incident response. Essential Duties and Responsibilities: Network Security Design, implement, and maintain secure enterprise network architectures across corporate offices, data centers, cloud platforms, and remote workforce environments. Architect network segmentation, Zero Trust access controls, and secure connectivity standards using Fortinet and Zscaler security solutions. Develop and maintain Zero Trust architectures across network, identity, endpoint, application, and cloud environments. Design and administer secure remote access using Zscaler Private Access, VPN technologies, and identity-aware access controls. Manage firewall policies, network security controls, routing security, DNS security, and hybrid-cloud connectivity. Design and support Network Access Control architectures using IEEE 802.1X, RADIUS, and certificate-based authentication. Assess network security posture, develop remediation plans, and drive continuous security improvements. Cryptography, PKI & Certificate Management Own the enterprise PKI, cryptography, and certificate lifecycle management architecture, standards, and governance program. Design and manage certificate-based authentication and machine identity solutions for users, devices, servers, applications, cloud workloads, and network infrastructure across Azure, AWS, and hybrid environments. Implement and maintain certificate lifecycle automation using Microsoft Cloud PKI, Keyfactor, CyberArk Certificate Manager, EJBCA, DigiCert, AppViewX, or comparable platforms. Manage certificate issuance, enrollment, discovery, deployment, monitoring, renewal, revocation, auditing, and compliance across the enterprise. Design and support cryptographic services and certificate-based security controls, including TLS/mTLS, code signing, PKI trust hierarchies, certificate-based authentication, SCEP, PKCS, and machine identities. Establish PKI and cryptographic standards, key management practices, and security controls to support Zero Trust, regulatory compliance, and enterprise security requirements. Troubleshoot and resolve complex certificate, cryptographic, trust chain, authentication, and secure communications issues across enterprise systems and applications. Identity & Access Define authentication and authorization standards for workforce, partner, application, service, and machine identities. Design, implement, and maintain Microsoft Entra ID architecture, tenant governance, and identity security controls. Develop, test, and enforce Conditional Access policies and Zero Trust access controls. Implement and maintain MFA, passwordless authentication, phishing-resistant authentication, and Microsoft Entra ID Protection capabilities. Design and support enterprise SSO and federation integrations using SAML, OAuth 2.0, OpenID Connect, and SCIM. Implement least-privilege and risk-based access models across enterprise platforms. Administer RBAC, administrative separation, Microsoft Entra Privileged Identity Management, and least-privilege access controls. Govern application registrations, service principals, enterprise applications, API permissions, and managed identities. Support B2B collaboration, guest-user governance, external workforce access, and third-party identity integrations. Design and implement security controls across Microsoft Azure and AWS environments. Apply least privilege, RBAC, encryption, secrets management, and secure configuration standards to on-prem and cloud resources. Automate identity provisioning and deprovisioning, access governance, certificate management, configuration validation, and security operations. Create reusable secure-by-default templates and reduce manual administration through automation and orchestration Conduct access reviews, entitlement certifications, and identity governance activities. Education or Desired License and Certificates: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related field, or equivalent professional experience. Microsoft Certified: Identity and Access Administrator Associate (SC-300) preferred. Microsoft Certified: Azure Security Engineer Associate (AZ-500) preferred. CCNA, Fortinet, Zscaler, AWS Security, CISSP, CISM, Terraform, or relevant PKI certification preferred Preferred Experience & Qualifications: 5+ years of experience in security engineering, identity & access management (IAM), network security, cloud security, or a related enterprise IT discipline. Hands-on experience with Microsoft Entra ID, including Conditional Access, MFA, SSO, Identity Protection, PIM, RBAC, identity governance, and modern authentication protocols (SAML, OAuth, OpenID Connect, SCIM). Experience designing, implementing, and securing enterprise identity, privileged access, and machine identity solutions across hybrid and multi-cloud environments. Hands-on experience with Fortinet, Zscaler (ZIA/ZPA), Zero Trust architectures, least-privilege access models, and network security controls. Experience designing and operating enterprise PKI, certificate lifecycle management, certificate-based authentication, and machine identity platforms such as Keyfactor, DigiCert, EJBCA, AppViewX, CyberArk Certificate Manager, or similar solutions. Experience securing Azure and AWS environments, including identity, networking, encryption, secrets management, logging, and security monitoring. Experience with PAM and IGA platforms such as CyberArk, Delinea, BeyondTrust, SailPoint, Saviynt, or similar technologies. Experience integrating identity, network, cloud, and security telemetry with SIEM and security operations platforms. Strong automation and Infrastructure as Code skills using PowerShell, Python, Microsoft Graph API, REST APIs, Terraform, or similar technologies. Strong troubleshooting skills across authentication, federation, certificates, PKI, network security, cloud access, application integrations, and enterprise identity services. Knowledge of cybersecurity and compliance frameworks including SOC 2, ISO/IEC 27001, NIST CSF, NIST 800-63, CIS Controls, Zero Trust, and NERC CIP. Competencies: Mandarin fluency preferred but not required. Strong analytical, troubleshooting, and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication, stakeholder management, and technical documentation skills. Strong organization, attention to detail, initiative, and ownership. Ability to balance security, reliability, usability, scalability, and business requirements. Proactive approach to automation, standardization, and continuous improvement. Travel 5%-20% Work Location and Status: Full time, Hybrid at any Sungrow USA office in Phoenix, Costa Mesa, or Houston No visa sponsorship Compensation: Compensation commensurate with experience Competitive salary and annual bonus eligibility Comprehensive benefits package including health, dental, vision, and retirement plans Strong personal and company growth opportunities Sungrow is an equal opportunity employer. Due to strong interest in this position, Sungrow will only reach out to those candidates who best meet the requirements. Thank you for your interest in Sungrow.

Job Description Job Description Duration: 6+ Months Position Summary: The Receiving Inspector is responsible for performing incoming inspection of purchased parts, components, and materials to verify compliance with engineering drawings, specifications, purchase order requirements, and applicable quality standards. This position supports Client's manufacturing and product quality operations by ensuring incoming material meets applicable requirements before being released for use. The Receiving Inspector works closely with Quality Engineering, Supplier Quality, Manufacturing, Engineering, and Supply Chain to identify and resolve incoming material and documentation issues. Key Responsibilities: Perform receiving inspection of incoming mechanical components, piece parts, assemblies, and materials in accordance with engineering drawings, specifications, inspection plans, and purchase order requirements. Perform dimensional and visual inspections using appropriate inspection equipment and measurement techniques. Review engineering drawings, GD&T requirements, specifications, certifications, and supplier documentation to determine product acceptance. Use inspection equipment such as calipers, micrometers, height gauges, optical comparators, profilometers, Smart Scope/vision measurement systems, and other precision measurement tools. Support CMM inspection activities as qualified and required. Document inspection results accurately and maintain appropriate inspection and quality records. Identify and document nonconforming material and initiate or support the appropriate quality notification/nonconformance process. Work with Quality Engineering and other functions to resolve inspection discrepancies and determine appropriate material disposition paths. Verify supplier certifications and documentation packages for compliance with purchase order and quality requirements. Perform inspection activities within established turnaround-time and production-priority requirements. Support sampling inspection plans, including AQL and approved Skip Lot processes, as applicable. Maintain traceability and proper control of inspected, accepted, rejected, and quarantined material. Support continuous improvement activities focused on inspection efficiency, quality, and reduction of receiving inspection backlog. Maintain inspection equipment, work areas, and records in accordance with applicable procedures and quality-system requirements. Support internal and external quality audits as required. Basic Qualifications: High school diploma or equivalent. 3-5 years of experience in receiving inspection, mechanical inspection, dimensional inspection, manufacturing quality, or a related inspection role. Ability to read and interpret engineering drawings, specifications, and inspection requirements. Working knowledge of precision measurement tools such as calipers, micrometers, height gauges, and optical measurement equipment. Basic understanding of GD&T. Ability to document inspection results accurately and clearly. Ability to work effectively with Quality, Engineering, Manufacturing, Supply Chain, and other cross-functional organizations. Ability to work independently, manage priorities, and maintain attention to detail in a high-volume environment. Preferred Qualifications: Experience in aerospace, defense, automotive, medical device, or another highly regulated manufacturing environment. Experience with AS9100 or ISO 9001 quality systems. Strong working knowledge of GD&T. Experience with CMM, Smart Scope, vision systems, optical comparators, and/or profilometers. Experience with SAP Quality Management (QM) or a similar ERP/quality system. Experience with First Article Inspection (FAI) and AS9102 requirements. Familiarity with AQL sampling and Skip Lot inspection methodologies. Experience reviewing Certificates of Conformance (CoC), material certifications, special-process certifications, and supplier quality documentation. Familiarity with nonconforming material control and MRB processes. Key Competencies: Strong attention to detail, inspection accuracy, technical drawing interpretation, sound judgment, documentation discipline, teamwork, communication, and the ability to balance quality requirements with production priorities. CMM Programmer / Operator The role of the CMM Programmer/Operator is pivotal in the production process, conducting consistent inspections on products, (parts, assemblies, raw materials, etc.) finished products and components, per drawings/specifications, to ensure products meet quality standards prior to distribution. Duties and Responsibilities: Primary: Determine part inspection requirements from internal or customer drawings. Create or edit programs for the coordinate measuring machine (CMM). Ability to validate CMM programs Utilize the programs to complete dimensional inspection using the coordinate measuring machine (CMM). Understand and utilize GD&T (geometric dimensioning and tolerancing) to complete detailed part inspection. Log and maintain inspection data as needed for evaluating and reporting. Maintain calibration system and conduct calibrations as needed. Train team members on the operation and programming of CMM (Coordinate Measuring Machines) and provide ongoing assistance to resolve any issues encountered during CMM operation. Secondary: Cross train on overlapping job functions. Conduct finished product inspections with hand gauges and measurement systems. Other duties as assigned by supervisor. High School degree. Basic Qualifications: Strong ability to develop inspection programs, using CMM Manager software or equivalent. Strong proficiency reading and interpreting engineering drawings. Strong proficiency interpreting GD&T standards. 4-8 years of CMM inspection experience. Able to lift up to 35 pounds. Ability to pass vision and color perception examination. Preferred Qualifications: Prior Aerospace industry or similar regulated industry experience. Experience with SAP. 2-3 years minimum experience with TSPACE Plus Portable Measuring Arm programming and operation. Ability and flexibility to work overtime and weekends as needed Additional Job Information: At least 3 of 7 must be CMM operators & programmers. All must use comparators, precision measurement, FAI, certification review. May work 2nd shift Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions, and investments in emerging technologies. At TSCTI . click apply for full job details

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. Are you experienced in building and managing Windows systems, with a passion for maintaining highly-available IT infrastructure and services at a massive scale? The Controls Fleet team is responsible for supporting some of Amazon's most critical infrastructure services. As part of Amazon Web Services, we power the infrastructure behind the world's premier e-commerce and cloud computing environments. To meet the growing demand for AWS services worldwide, we seek exceptionally motivated individuals driven by learning and innovation. We are looking for a passionate and motivated Windows Engineer to join our team of Systems Engineers. By joining us, you'll become part of a world-class team in a dynamic environment with the entrepreneurial spirit of a start-up. This is an opportunity to operate and engineer systems on a massive scale, gaining world-class experience in managing and supporting critical infrastructure. You'll work alongside passionate individuals dedicated to deploying and supporting essential IT infrastructure that powers AWS. The ideal candidate will be innovative, possess excellent problem-solving and analytical skills, and thrive in a fast-paced environment. They should have a keen attention to detail and the ability to solve problems at their root. The Controls Fleet Operations team services customers globally, requiring the ability to manage multiple tasks and adapt to different challenges. In addition, the ideal candidate should have an expert understanding of Windows tools such as Active Directory, Group Policy, DNS, Hyper-V, Windows Failover Clustering, and Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager. Proficiency in PowerShell, or a similar scripting language, and windows automation are essential. This role demands a solid foundation in networking principles and hands-on experience with hardware troubleshooting and system building. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Key job responsibilities • Large-Scale Windows Server Environments: Design, build, and support extensive Windows server environments. • Enterprise Tooling: Implement and manage enterprise-scale tooling, such as Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager, for a large Windows fleet. • Automation and Scripting: Develop and implement best practices for automating tasks and scripting in large server environments. Proficiency in PowerShell is essential. • Innovation and Problem Solving: Utilize creativity and analytical skills to solve complex problems and implement innovative solutions. • Adaptability: Quickly adjust to changing priorities and manage multiple tasks efficiently. • Hardware Troubleshooting: Diagnose and resolve hardware issues, with hands-on experience in system building. • Networking and Windows Administration: Strong understanding of networking principles and expert-level Windows administration. • Global Deployment: Create scripts and automation tasks applicable to a global server fleet. • On call: Participate in a 24x7 on call rotation that supports global customers • Ability to travel domestically and internationally up to 10% of the time About the team 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. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience working with Linux - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - 5+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience troubleshooting and debugging technical systems, or experience in technical support and experience with virtualization (Hypervisors, VMware, Xen) - 5+ years of experience deploying, managing, and supporting large-scale Windows Server environments (500+ servers), including OS lifecycle management, patch compliance, and fleet-wide standardization across geographically distributed data center infrastructure. PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience using AWS services - 5+ years experience with virtualization (Hypervisors, VMware, or Xen) and supporting the underlying hardware components - Demonstrated experience managing and maintaining a large-scale Windows Server fleet across geographically distributed environments, leveraging enterprise-level configuration management and automation tooling such as Enterprise Configuration Management (ECM), AWS Systems Manager, or equivalent platforms to drive patching compliance, system standardization, and operational efficiency at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave . click apply for full job details

Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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