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Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Role Overview CoreWeave is seeking an experienced Network Security Engineer for our network security initiatives to help protect our rapidly scaling cloud infrastructure hosting high-performance AI workloads. In this role, you will architect and implement cutting-edge security solutions focused on network security across our data center perimeter and internal networks. You will work in a high-scale environment (CoreWeave is positioning itself as the next major hyperscaler) and ensure our network and services remain secure, resilient, and trustworthy. The ideal candidate is a seasoned security expert (3-7 years experience) with a deep understanding of modern cloud/network architectures and a passion for educating cross-functional partners in a security-first culture. Key Responsibilities Network Security Architecture: Design and deploy robust security measures across the network perimeter and internal fabrics (e.g., firewalls, IPS/IDS, segmentation, configuration health, best practicies) to protect CoreWeave's globally distributed hyperscale infrastructure hosting large-scale AI workloads. Ensure that all entry points, high-speed interconnects, and cloud services are fortified against unauthorized access and attacks. Zero Trust Implementation: Champion a Zero Trust security model across CoreWeave's network and cloud environments. Architect solutions that enforce least-privilege access, continuous verification, and micro-segmentation of services - ensuring no implicit trust at any layer. Security Monitoring & Incident Response: Establish robust monitoring for network security events and potential breaches across high-density AI cluster networks. Proactively identify vulnerabilities or indicators of compromise, and coordinate incident response efforts for any network-related security incidents to minimize impact. Cross-Functional Collaboration: Work closely with Networking, Infrastructure, and Software Engineering teams to integrate security best practices into architecture, deployments, and processes. Provide expert guidance during design and code reviews to ensure new services and features are secure by design. AI Infrastructure & Interconnect Security: Secure high-density GPU clusters and ultra-low latency backend fabrics. Implement security controls to protect customer data in transport. Leadership & Education: Contribute to security initiatives and foster a security-first mindset across the organization. Educate partners in other teams on network security principles, conduct security training sessions, and lead by example in following and enforcing security policies and standards. Policy Enforcement: Help refine, implement, and enforce security policies and standard operating procedures for a highly scalable, distributed environment. Regularly review network and cloud security postures, ensuring compliance with industry best practices and adapting policies as the company grows. Required Qualifications Experience: 3-7 years of hands-on experience in network security engineering, with exposure to large-scale cloud or hyperscaler environments. Proven track record protecting complex, distributed systems at scale. Network Security Expertise: Deep understanding of network security principles and technologies - including experience mitigating DDoS attacks, securing high-speed data center fabrics, defending against web exploits, and implementing zero trust methodologies. Cloud & Network Architecture: Strong conceptual and practical knowledge of securing modern cloud and network architectures. Proficient in network protocols (TCP/IP, DNS, BGP, HTTP/S, etc.), network segmentation, VPNs, and firewall configurations. Experience securing cloud platforms (AWS, GCP, Azure or custom hyperscale infrastructure) and containerized environments. Security Contributions: Demonstrated ability to contribute key input to security initiatives and projects end-to-end. Experience educating peer engineers and partner teams, with a talent for instilling a security-first mindset across diverse teams. Cross-Team Collaboration: Excellent communication and collaboration skills. Ability to work closely with cross-functional teams (Networking, Infrastructure, DevOps/SRE, Software) to design and implement security solutions that enable the business while protecting critical assets. Policy and Compliance: Experience in implementing, refining, and enforcing security policies and controls for highly scalable, distributed systems. Familiarity with industry standards and compliance frameworks (e.g., NIST, ISO 27001, SOC2) and how they apply in a cloud environment. Preferred Skills & Qualifications Hyperscaler Environment: Prior experience working in a top-tier cloud provider or hyperscale environment is a strong plus (FAANG or similar organization). Understanding of the unique security challenges at massive scale. Zero Trust & Identity: Experience designing zero trust networks, including identity and access management (IAM) systems, single sign-on, multi-factor authentication, and network access control solutions. Automation & Scripting: Proficiency in scripting or programming (Python, Go, or similar) for automating security tasks, integrating security tools, and handling infrastructure-as-code. Experience with DevSecOps practices and CI/CD pipeline security is a plus. Security Certifications: Relevant certifications such as CISSP, CCSP, GIAC (GSEC, GCIH, etc.), or cloud security certifications (AWS/Azure Security Specialty) are advantageous, demonstrating a strong foundation in security best practices. Continuous Learning: Active involvement in the security community or contributions to open-source security projects. Up-to-date knowledge of the latest threats, vulnerabilities, and mitigation strategies in network and cloud security. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158 . click apply for full job details

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Title: Cloud Network Security Engineer Location: Onsite (Washington, D.C. or Bethesda, MD) Terms: Full-time Salary: 175k - 200k DOE Clearance: Active Top Secret with SCI eligibility required Citizenship: U.S. citizenship required Travel: 0-10% Position Description Revolutional has an exciting full time opportunity for a Cloud Network Security Engineer to own network connectivity between our federal government customer's on-premises environment and its cloud environments (currently Azure and AWS). This is a senior, hands-on ownership role: the engineer will serve as the primary technical bridge between the customer's on-premises network team and Revolutional's cloud/platform team, taking day-to-day responsibility for configuration, troubleshooting, firewall policy, and lifecycle management of hybrid, multi-cloud network infrastructure. A strong understanding of how cloud networking affects application design, routing, and capacity planning is central to this role. What You'll Do As a Cloud Network Security Engineer you will: Configure and maintain core hybrid and multi-cloud networking components, virtual networks, gateways, and site-to-site or dedicated circuit connections (e.g., Azure VNets/ExpressRoute/Virtual WAN, AWS VPCs/Transit Gateways), along with DNS, IP address management, load balancing, and private connectivity to platform services. Configure and manage firewall and network security policy across platforms (NSGs, Azure Firewall, and enterprise platforms including Palo Alto and Cisco), including policy configuration, log analysis, and troubleshooting of connectivity issues. Design and optimize routing and traffic engineering (BGP, route tables, user-defined routes), accounting for how application and data traffic patterns affect bandwidth-constrained on-premises circuits, and support secure, high-throughput connectivity for priority mission initiatives. Manage DNS configuration (Azure DNS, Private DNS Zones) and IP address management (IPAM) across Azure subscriptions. Deploy and maintain Private Link / Private Endpoint configurations to secure connectivity to PaaS services. Monitor network health, performance, and security posture across on-premises and cloud environments, and develop and maintain Infrastructure-as-Code for repeatable, auditable configuration changes. Document configurations, network diagrams, and standard operating procedures; respond to and resolve network incidents within defined SLAs; interface with telecommunications carriers and/or colocation providers as needed. Collaborate with security and infrastructure teams to support network design for new workloads, migrations, and the program's long-term multi-cloud strategy. What You Bring (Requirements): Active Top Secret (TS) clearance with SCI eligibility. Must be a U.S. citizen. Bachelor's degree in a related technical field, or equivalent professional experience. 8+ years of overall network engineering experience. 5+ years of hands-on experience configuring, administering, and troubleshooting cloud networking environments. Security+ Certification. Nice to Have (Differentiators): Demonstrated experience configuring both Azure (VNets, subnets, NSGs, ExpressRoute, VPN Gateway, Azure Firewall) and AWS (VPCs, Transit Gateways, Site-to-Site VPN, Security Groups) networking environments. Solid understanding of core networking fundamentals (TCP/IP, routing, switching, DNS, DHCP, BGP, VPN protocols) and experience troubleshooting hybrid connectivity between on-premises and multi-cloud environments. Hands-on experience administering and troubleshooting enterprise firewall platforms (Palo Alto and Cisco), including policy configuration and firewall log analysis. Experience with Infrastructure-as-Code (ARM templates, Bicep, Terraform, or CloudFormation) and working knowledge of network security best practices (segmentation, least-privilege access, firewall policy management). Demonstrated ability to independently own and lead network engineering efforts for a customer environment. Microsoft Certified: Azure Network Engineer Associate or Azure Administrator Associate; AWS Certified Advanced Networking - Specialty. Experience with multi-region/multi-cloud network architectures (Azure Virtual WAN, Azure Front Door, AWS Transit Gateway/Direct Connect) or carrier cloud-connect and colocation solutions (e.g., AT&T NetBond, Verizon Software-Defined Interconnect, Equinix, Digital Realty). Scripting experience (PowerShell, Python, Azure CLI, or AWS CLI) for network automation; familiarity with Trusted Internet Connection (TIC) 3.0 and Policy Enforcement Point (PEP) concepts. Experience supporting federal government, regulated, or compliance-driven environments (FedRAMP, NIST 800-53, etc.). _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact . "Know Your Rights: Workplace Discrimination is Illegal" Poster U.S. Equal Employment Opportunity Commission

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS 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 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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 in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync 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, MD, Jessup - 153 800.00 USD annually

Sr. Engineer, Technical Support - Software Automation US-CA-San Jose Job ID: 35188 Type: Full-Time # of Openings: 1 Category: Engineering CUSA San Jose Branch About the Role Located near a Canon facility (San Jose, CA; or Phoenix, AZ) the Technical Support Engineer (Sr Application Engineer) will provide technical support for software related issues. This is an exciting opportunity for creative candidates with mechanical knowledge who enjoy a technical challenge. You will work in various customer sites nationwide, to setup and upgrade software in our semiconductor equipment, troubleshoot software related issues, and partner with customers to setup/select optional functions and troubleshoot automation settings. If you have experience with SECS/GEM automation and enjoy resolving technical challenges, this could be the job for you! Your Impact Organize and track both computer hardware and software configuration on all products in the field. Liaison with local, domestic and overseas software design team regarding software and/or automation related problems in the field Set up hardware, install and configure software, drivers and peripheral devices with knowledge of networking components Discuss with customers about Semiconductor equipment automation specifications (SECS/GEM Software compliance) About You: The Skills & Expertise You Bring Bachelor's degree in an engineering discipline required plus 5 years of related experience, or a Masters degree preferably in an Engineering discipline. Attention to detail with excellent communication skills Japanese language skills a plus Excellent leadership skills required Familiar with SQL, UNIX, LINUX environment and scripting languages Understanding of networking fundamentals and concepts Knowledge of semiconductor automation system in SEMI SECS/GEM Strong understanding of software languages and computer hardware. Solid understanding in data structures and algorithms Experience in developing or debugging software applications Up to 50% overnight travel required (domestic and/or international) dependent on business needs. Up to 80% travel could be required for initial 6 months for training purpose. May require considerable travel valid driver's license and acceptable driving record necessary. Additionally, because this position requires driving for company business as an essential function of the job, must remain in compliance with company safety guidelines and policies. Microsoft Applications (PowerPoint, Word, Basic Excel) and any other Database knowledge skills a plus. Requires ability to lift up to 50 pounds individually and for lifting over 50 pounds assistance may be available. Substantial amount of standing, walking, typing, grasping, talking and hearing. Some amount of driving required, sometime for multiple hours at a time. Occasionally kneeling, crouching, stooping, reaching, pushing, pulling and climbing stairs The worker is required to have close visual acuity with or without corrective lenses for extensive reading; visual inspection involving mechanical / electrical parts, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. Working in lab may require wearing gloves, safety glasses. The work environment may include a variety of physical conditions such as proximity to moving mechanical parts, electrical current, exposure to chemicals, lasers, close quarters, narrow aisles or passageways. The work environment may include working in highly time sensitive situations requiring quick resolutions. In accordance with applicable law, we are providing the anticipated salary range for this role, $104,870 - $157,050 Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at . Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All 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. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at . Posting Tags Compensation details: 50 Yearly Salary PIcdb-2473

Job Title: Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations Location: Charlotte, NC Duration: Contract - 10 months Pay Range: $70.23/hr (W2) Job ID: 411799 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations to assess and evolve our Cutover platform. The ideal candidate will have strong experience in enterprise and cloud architecture, AI/ML-enabled operations, and automation platforms, and a proven ability to design scalable, reliable architectures that enable automated incident detection, diagnosis, remediation, and orchestration. Responsibilities: Conduct a current state assessment of the Cutover platform and its ecosystem, including application, infrastructure, integrations, and data flows. Document architecture, identify performance constraints, technical debt, and operational bottlenecks, and evaluate resiliency, scalability, and readiness. Perform capacity and performance engineering across API throughput, database performance, queue utilization, worker concurrency, and integration bottlenecks. Assess infrastructure scaling limits and develop growth and capacity forecasts. Define a future state architecture enabling autonomous operations, automated incident resolution, AI-assisted remediation, event-driven automation, and self-healing platforms. Create a multi-year technology roadmap supporting integration scalability, workload isolation, and automation expansion across CTI and APSE. Evaluate and recommend AI and emerging technologies including agentic AI, AIOps, generative operations assistants, event intelligence, knowledge graphs, autonomous remediation, and predictive incident management. Required Skills & Qualifications: 3-5+ years of enterprise architecture experience with highly distributed, mission-critical systems. Strong cloud and hybrid architecture knowledge, including API-first, event-driven, and microservices patterns. Experience in incident management, SRE practices, operational observability, and reliability engineering in large-scale environments. Understanding of LLM architectures, RAG patterns, AI agents, prompt engineering, AI governance, and model evaluation. Proficiency with productivity software, including Microsoft Office. Preferred Skills: Experience training or fine-tuning AI models and building AI-powered operational workflows. Hands-on integration of AI into enterprise production environments for AIOps and autonomous remediation. Background with workflow orchestration platforms and CI/CD pipelines. Prior work in hybrid operating models within regulated or large-scale environments. Additional Details: Glider: Candidate ID Verification. Hybrid schedule requirement of a minimum of 3 days per week onsite. Hours per Day: 8. Labor Type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. McKesson Prescription Automation Solutions, or MAPS, develops software that supports large-scale automated pharmacy fulfillment operations across the United States. Our technology connects software, robotics, conveyor systems, databases, APIs, and user applications to help pharmacies deliver medications safely, accurately, and efficiently. As a Software Engineer, you will design, develop, enhance, and support software for mission-critical pharmacy automation systems. You will work across Windows-based desktop applications, backend services, distributed systems, databases, hardware integrations, and modern user interfaces. You will collaborate with product management, automation engineering, quality assurance, operations, customer support, and customers to solve complex technical challenges. This is an opportunity to work across the full software development lifecycle, contribute to technical decisions, modernize established applications, and see the direct operational impact of your work. What You'll Do Design, develop, test, deploy, and support software for large-scale automated pharmacy fulfillment systems. Enhance and modernize Windows-based applications developed with C++ and Microsoft Foundation Classes, or MFC. Build and maintain scalable backend services, multi-threaded applications, distributed systems, databases, and RESTful API integrations. Translate customer, business, and technical requirements into reliable and maintainable software solutions. Integrate software with robotics, conveyor systems, industrial automation equipment, and other hardware devices. Investigate complex production issues, perform root-cause analysis, and implement sustainable corrective actions. Monitor and improve application performance, reliability, scalability, maintainability, and availability. Apply software engineering practices such as source control, code review, automated testing, Test-Driven Development, and continuous integration and delivery. Collaborate with engineering, product, quality, deployment, support, and operations teams throughout the software development lifecycle. Participate in customer discussions, technical reviews, troubleshooting sessions, and solution-design activities. Contribute to technical planning and architecture discussions involving system integrations, application modernization, and product enhancements. Participate in an on-call rotation supporting mission-critical applications during designated evenings and weekends. Basic Requirements Degree or equivalent experience and typically 4 or more years of relevant professional software development experience. Professional experience developing Windows-based software applications using C++ and MFC. Experience developing multi-threaded or distributed applications. Experience working with relational databases and SQL using Microsoft SQL Server, MySQL, or a comparable platform. Experience troubleshooting complex software or production issues and performing root-cause analysis. Experience using Git or another version-control system. Experience with continuous integration, automated testing, or Test-Driven Development. Ability to participate in an evening and weekend on-call support rotation. Authorization to work in the United States. Preferred Skills/Experience Service-Oriented Architecture, microservices, or RESTful API development and integration. Entity Framework or Entity Framework Core. WPF, WCF, MVVM, or other Windows desktop application technologies. Angular, React, HTML5, JavaScript, or other modern web technologies. Jenkins, CI/CD pipelines, DevOps practices, or release automation. Application monitoring, observability, performance analysis, or performance-tuning tools. Hardware integration using sockets, serial communication, or similar protocols. Industrial automation, robotics, programmable logic controllers, or Beckhoff control systems. Windows administration, Active Directory, VPNs, firewalls, or network-connectivity troubleshooting. Software development experience in healthcare, pharmacy operations, manufacturing, fulfillment, logistics, or another regulated, mission-critical environment. Experience working with customers, operations teams, or nontechnical business stakeholders. Travel, Work Environment and Physical Requirements This position is eligible for remote work within the United States, subject to McKesson's applicable workplace policies. Ability to travel up to 20% for customer engagements, site visits, installations, and team collaboration. Participation in a scheduled on-call rotation may require evening or weekend availability. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $115,800 - $193,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides elevated level of technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What you'll do: Leverage experience of coding applications, application architecture, system integrations, and technology platforms to identify improvements, troubleshoot complex issues, and ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. Advanced understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to correlate logs, traces, metrics, transaction flows, infrastructure telemetry, and application performance data to identify complex failure modes, determine root causes, assess business impact, and drive long-term reliability improvements. Advanced working knowledge of Kubernetes, OpenShift, Docker containers, and microservice-based architectures, including the ability to troubleshoot complex distributed-system failures, evaluate platform health, recommend recovery strategies, and influence operational best practices. Advanced understanding of API-driven architectures, integration patterns, authentication mechanisms, and service dependencies, including the ability to analyze end-to-end transaction flows, identify integration failures, and recommend architectural and operational improvements. Advanced experience with ServiceNow, Jira, Confluence, and similar operational platforms, including administration of operational workflows, development of knowledge-management standards, reporting and trend analysis, and driving improvements to support processes and operational effectiveness. Advanced knowledge of Incident, Problem, Change, Event, and Knowledge Management practices. What sets you apart: 4+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. 2+ years of experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Advanced analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Experience working with observability tools, driving automation, service resiliency, SRE principles, and operational process improvements. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $93,770 - $179,240. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Palo Alto Firewall Engineer / SME (PCNSE) Cyber Security Engineering Specialist III - Firewall Services Location: Springfield, VA - on site Time Type: Full time, Exempt Clearance Required to Start: Active TS/SCI (U.S. citizenship required) Additional Requirement: Must be able to obtain and maintain a U.S. Government polygraph Travel: Up to 15%, local and CONUS Salary Range: $117,000 - $128,000 Own the Palo Alto estate - legacy iron through Prisma and Panorama. RISA is hiring a Palo Alto SME to be the focal point for every Palo Alto task, operation, and project on the Network Security Services team supporting an Intelligence Community customer. The work spans both ends of the estate: PA-3000 and PA-5000 hardware refreshes and legacy CLI on one side, Prisma Access, VM-Series, and Cortex on the other. You will talk to the owner here, not a recruiting queue. What You Will Do Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto NGFWs across a hybrid enterprise. Lead the design, analysis, testing, and implementation of secure network architectures on the Palo Alto stack. Manage the full hardware and software lifecycle, including complex refreshes and PAN-OS upgrades on legacy platforms. Run Panorama for centralized policy management across a fleet of physical and virtual firewalls. Configure master-level security profiles - App-ID, User-ID, Content-ID, SSL Decryption, and WildFire. Own configuration management processes and SOPs for all Palo Alto platforms. Mentor junior engineers and act as the escalation point for complex troubleshooting. Liaise with contract, customer, and government DAA on network security status, policies, and procedures. What You'll Bring S. citizenship and an active TS/SCI. Ability to successfully obtain and maintain a U.S. Government polygraph. Education and experience, per the contract labor category criteria: Bachelor's degree in a field applicable to the position plus 6 years of relevant experience. Equivalents accepted - Master's plus 4, Associate's plus 8, or High School diploma/GED plus 10. 7+ years hands-on administering, configuring, and troubleshooting Palo Alto NGFWs in large-scale enterprise or global environments. Active PCNSE certification. DoD 8140.01 and 8570.01-M IAT Level II (e.g. Security+ CE), and CSSP Infrastructure Support within 120 days of start. Deep practical knowledge of legacy Gen 2/Gen 3 hardware - PA-3000 and PA-5000 series, legacy CLI, physical troubleshooting, line-card replacement. Prisma Access (SASE), Prisma SD-WAN, and VM-Series in AWS, Azure, or GCP. Panorama template and device-group inheritance across a hybrid fleet. Advanced BGP, OSPF, IPSec VPN, and NAT. Nice to Have PCNSC or Prisma Certified SASE Professional (PCSAE). Python, plus firewall automation with Ansible, Terraform, or the Palo Alto XML/REST APIs. Cortex XDR or XSOAR; Expedition for legacy rule migration to App-ID policy. Zero Trust Network Access architecture; F5 (APM, AFM), Juniper SRX, or Cisco FTD/ASA. About RISA Rolston Information Systems Assurance (RISA) is a Service-Disabled Veteran-Owned Small Business that has supported federal defense and intelligence cybersecurity missions for more than seventeen years. We are small on purpose: direct access to leadership, a real say in how the work gets done, and none of the layers that slow large primes down. Benefits Medical, dental, and vision insurance; 401(k) and Roth; Paid Time Off; and 11 paid Federal Holidays. RISA is an Equal Opportunity Employer. Upon receiving an offer of employment, all applicants will be required to do a background check, including a criminal record check and employment/education verification.

Application deadline: Nov 7, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant - Application Modernization, to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key leader in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. As a Sr. Delivery Consultant - Application Modernization, you will be proficient in leading the architecture of complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current applications, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Leading the design and implementation of complex, scalable, and secure AWS solutions tailored to customer needs 2. Provide technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 6. Experience as a tech lead or leading a high performing consulting team About the team ABOUT AWS: 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. 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. 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 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 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. 10046 BASIC QUALIFICATIONS- 5+ years of cloud architecture and solution implementation experience - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - Experience leading application architecture/design/modernization projects, including cloud- based solutioning (AWS or equivalent), with AI and automation - Experience with Infrastructure as Code (IaC) tools and practices PREFERRED QUALIFICATIONS- Experience with the AWS platform, web services, software development, or related technologie - Experience scripting for automation (e.g., Python, Perl, Ruby) - Knowledge of security and compliance standards including HIPAA and GDPR - Experience communicating technical concepts to a non-technical audience - Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations - Experience developing, deploying and managing AI products at scale - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience leading large-scale software development and modernization initiatives, with deep expertise in multiple programming languages (e.g. Java, Python, C++, JavaScript, Microservices) and Generative AI tools/technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, San Francisco - 176 000.00 USD annually USA, CO, Denver - 153 800.00 USD annually USA, GA, Atlanta - 153 800.00 USD annually USA, IL, Chicago - 153 800.00 USD annually USA, NY, New York - 169 600.00 USD annually USA, TX, Austin - 153 800.00 USD annually USA, TX, Dallas - 153 800.00 USD annually USA, TX, Houston - 153 800.00 USD annually USA, VA, Arlington - 153 800.00 USD annually USA, WA, Bellevue - 153 800.00 USD annually

Job Description Job Description Position : Senior Network Engineer Location : New York, NY - Hybrid Duration : Fulltime Job Description: Key point: Strong expertise in Linux networking, network testing automation, Kubernetes/ eBPF-based observability/ cloud-native network. " Testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. " The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. " A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. " Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. " This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) " Rapid certification of patches/ SMU/ codes with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. " Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). " Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. " Develop and design testing for various network hardware, including routers, switches. " Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. " Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. " Document and present recommendations and finding to the wider teams, including testing results and certifications. " He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. " Providing guidance to the wider teams related to platforms and designs " This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innova ting, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. " Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. " Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. " The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. " The position is in NY, requires on site presence 3 4 days weekly. Experience: " Senior level, experienced, can lead projects and work independently. " 8 years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. " Experience with testing design and certification of products in LAB environments is highly desirable. " CCIE or at a min CCNP level experience. Skills Required: " Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. " Experience with Cisco Platforms such as Catalyst and Nexus. " Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. " Good foundation in Linux administration, networking, and automation. " Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. " Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel- level telemetry " Good knowledge of Python, Github. " Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. " Some proficiency in the ROBOT Framework is a big plus " Experience with Arista Platforms such as 7280, 7504, 7060 etc. " Experience developing strategies with multiple vendors. " Experienced with creating design documents for each certification which includes engineering guidelines. " Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. " Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. " Understanding of network protocols, network platforms such as Cisco/Ari sta to design and troubleshoot new implementations. " Good protocol level understanding/ Wireshark. " Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. " IP Routing Platforms, ISR4k, ASR1K, Catalyst. " Cisco/ Arista Switching Platforms Catalyst switches. " strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: " Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. " Understanding of new protocols being deployed intra and inter Data Center. " AWS (or Azure cloud equivalent) is desirable. " Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. " Cloud computing, Virtualization industry standard and trends, server technologies a plus. " Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. " L2 and L3 QoS are a plus. Other Requirements: " Manage vendors, coordinate testing and evaluate PoC. " Possess ability to quickly and effectively interpret data. " Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. " Ability to work independently and within a global testing team environment. " Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. " Ability to prioritize effectively with good time management skills. " Excellent interpersonal skills, strong logical and analytical skills " Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must " Ability to move quickly and multitask in a fast-paced environment. " Stakeholder management and providing reports and overviews to both technical and non-technical senior management.