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Job Description Job Description Overview We are seeking a highly skilled and disciplined Data Center Engineer to support both unclassified and classified enterprise network infrastructure in direct support of Air Force National Capital Region (AFNCR) operations. The AFNCR IT Services program provides support services for information systems for Headquarters Air Force (HAF), Air Force District of Washington (AFDW), Office of the Secretary of Defense (OSD), Joint Chiefs of Staff, and other Air Force activities within the AFNCR, missions to include the Pentagon, Joint Base Andrews (JBA), Joint Base Anacostia-Bolling (JBAB), and other locations, leased spaces, and alternate sites. The major support areas required are IT Operations and Maintenance; Plans, Projects, and Engineering and National Military Command Center (NMCC). TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. "Technology moving at the speed of thought" embodies these principles - the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at . Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration. Responsibilities RESPONSIBILITIES Design, implement, and maintain information technology systems to include designing the basic computing infrastructure to accomplish key tasks, establishing networking rules for cybersecurity, and troubleshooting network errors or other technical issues. Manage, deploy, configure, and maintain core data center hardware, including switches, routers, and high-performance server network interfaces. Maintain comprehensive physical infrastructure documentation, including precise rack layouts, detailed port maps, and highly accurate physical asset tracking databases. Employ and manage enterprise level network systems, utilizing Cisco Catalyst Center (formerly Cisco DNA Center) and Cisco Identity Services Engine (ISE) for policy enforcement, device profiling, and automated access control. Configure and manage Cisco Nexus Series switches. Configure and manage F5 Load Balancers (LTM/GTM) to guarantee application high availability and administer RSA Authentication Manager to support multi-factor authentication (MFA) across secure enclaves. Monitor system performance, capacity, and overall environmental health using Cacti network monitoring and other SNMP-based telemetry tools. Deploy and troubleshoot multicast-based Internet Protocol Television (IPTV) platforms over the enterprise LAN. Install, key, configure, and support TACLANE (e.g., KG-175D, KGV-72) and other High-Assurance IP Encryptors (HAIPEs) to secure sensitive data-in-transit across classified and unclassified networks. Implement and enforce physical and logical cybersecurity measures to safeguard critical infrastructure, databases, and network boundaries in accordance with DoD regulations. Develop, update, and maintain detailed Standard Operating Procedures (SOPs) for data center operations, ensuring strict alignment with military directives, safety, and environmental protocols. Act as the technical point of contact with higher-level support units, such as the 26th Network Operations Squadron (26th NOS) and the Defense Information Systems Agency (DISA), ensuring rapid coordination and resolution during network outages or degraded performance periods. Draft, coordinate, and process Authorized Service Interruptions (ASIs) as directed by leadership, ensuring appropriate risk mitigation and stakeholder notification. Coordinate with multidisciplinary engineering and facility stakeholders to schedule and execute preventative hardware maintenance and routine system-wide upgrades with minimal operational disruption. Proactively identify single-points-of-failure and mitigate operational reliability risks to guarantee maximum network uptime and mission stability. Participate in disaster recovery (DR) planning, complete routine system backups, and execute logical and physical system restoration processes. Support a continuous, mission-critical operational standby and on-call rotation schedule to resolve emergent tier-3 technical issues during off hours. REQUIRED QUALIFICATIONS Active Secret clearance. Bachelor's degree in computer science, Information Technology, Computer/Electrical Engineering, or equivalent technical military/civilian experience (typically 5+ years of hands-on network engineering experience in secure environments). Education and experience requirements may be substituted with: 1. A master's degree (in subjects described above) and 3 years of experience. 2. No degree with 10 years of intensive and progressive experience demonstrating the required proficiency levels related to task. Must meet DoD 8140 IAT Level II or III baseline certification requirements: active Cisco Certified Network Associate (CCNA) OR Cisco CCNP Enterprise. Proven experience configuring and troubleshooting enterprise-grade switches and routers (specifically Cisco platforms). Hands-on administration of Cisco Catalyst Center (DNA Center), Cisco ISE, and F5 Local/Global Traffic Managers. Experience with RSA Authentication Manager database administration and user agent configuration. Direct experience configuring, keying, and troubleshooting TACLANE HAIPE encryption units. Proficiency knowledge of DISA STIGs for network devices and appliances. Familiarity with SNMP monitoring protocols, Cacti, and multicast routing protocols (e.g., PIM, IGMP snooping) for IPTV systems. DESIRED QUALIFICATIONS Active Cisco CCNP Enterprise certification. Active Security+ certification. Understanding of IPv6 to include configuration and common notation/nomenclature Proficiency in Python and Ansible for network automation. Familiarity with Cisco SD-WAN, Cisco Application Centric Infrastructure (ACI). Experience working in air-gapped and/or classified network environments (e.g., SIPRNet) is highly desirable. Knowledge of Air Force, Pentagon, and/or AFNCR. Experienced working at the Pentagon, Joint Base Andrews (JBA), and Joint Base Anacostia-Bolling (JBAB). Qualifications WORK ENVIRONMENT AND PHYSICAL DEMANDS The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Location: Joint Base Andrews, MD Type of environment: Office Noise level: Medium Work schedule: Schedule is day shift, 1000 - 1800, Monday - Friday. May be requested to work evenings and weekends to meet program and contract needs. Amount of Travel: less than 10% PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to grip, handle, or feel; reach with hands and arms; and talk or hear. The employee is regularly required to stand; walk; sit; climb or balance; and stoop, kneel, crouch, or crawl. The employee is regularly required to lift up to 10 pounds. The employee is frequently required to lift up to 25 pounds; and up to 50 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. WORK AUTHORIZATION/SECURITY CLEARANCE US Citizen Active Secret clearance WAGE INFORMATION Target salary range: $80,000.00 - $110,000.00. The salary range displayed is an estimate only and is not a guarantee of compensation or salary, and will be determined on several factors regarding the individual's particular combination of education, knowledge, skills, competencies and experience, as well as contract parameters and organizational requirements. The displayed salary is one component of the total compensation package for employees. OTHER INFORMATION Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. TekSynap is a drug-free workplace . click apply for full job details

Job Description Job Description ABOUT CIM GROUP: CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest. Back in 1994, our three founders focused on projects in Southern California neighborhoods. Today, we are a diverse team of 900+ employees with projects across the Americas. Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure. Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come. Join us and make an impact today! POSITION PURPOSE: CIM Group is modernizing its enterprise data platform, migrating from a legacy Microsoft SQL Server estate to a Databricks Lakehouse architecture. The Data Platform Operations Lead is the operational owner of that platform - accountable for keeping it reliable, performant, and cost-disciplined for internal stakeholders and investors. This is a hands-on role with a leadership edge. The successful candidate personally owns production support and day-to-day platform operations, owns the firm's DevOps tooling and CI/CD practice for data, and partners closely with Infrastructure and Data Engineering on the foundation and security layers those teams own. The role requires strong technical judgment and the ability to drive outcomes across a matrixed organization, make decisive operational calls, and act as a trusted delegate of the Head of Enterprise Data Management. RESPONSIBILITIES: Production Support & Operational Reliability (Primary) Own end-to-end incident and problem management for the data platform: detection, triage, resolution, and root-cause analysis across pipelines, jobs, and the downstream consumers. Own job-failure remediation and recovery, restoring critical data flows within targets calibrated to the close and investor-reporting calendars. Define and operate data freshness and data-quality monitoring, alerting, and SLA tracking against reporting deadlines. Author and maintain runbooks, escalation paths, and on-call procedures; lead post-incident reviews and drive corrective actions to closure. Carry on-call responsibility on a severity-based basis, with heightened coverage around quarter-end close and investor-reporting cycles. Databricks Platform Administration & Operations Own day-to-day operations of the Azure Databricks Lakehouse: cluster policies, instance pools, SQL warehouse sizing, serverless configuration, and runtime currency. Maintain workflow and Delta Live Tables pipeline reliability and performance at the platform level. Note: Unity Catalog data-object privilege administration is owned by Data Stewardship and Data Engineering; this role partners on the operational impact but does not own catalog grants. FinOps & Cost Management Own end-to-end FinOps for the data platform: resource tagging, budget policies, and consumption monitoring via Databricks system tables, and keeping spend predictable and defensible. Deliver cost transparency and chargeback/showback by business line, giving Fund Accounting, Portfolio Oversight, and other consumers visibility into what they drive. Right-size compute (cluster policies, instance pools, SQL warehouse and serverless configuration) and drive continuous optimization of the platform's cost-to-serve. Forecast platform spend, flag variances early, and partner with Finance and the Head of Enterprise Data Management on the platform budget. DevOps & CI/CD Tooling Administer the DevOps toolchain for data - GitHub organization, repositories and access, CI runners, and pipeline secrets - operating with the advanced / administrator privileges these systems require. Own and deploy CI/CD for data assets - GitHub Actions pipelines and Databricks Asset Bundle-based deployment of notebooks, jobs, DLT pipelines, and platform objects across dev, test, and production. Build and administer the Infrastructure-as-Code toolchain (Terraform with the Databricks provider, and Azure IaC for surrounding resources), and own the environment-promotion and release-management model. Establish the observability strategy - monitoring, logging, alerting, and data-quality gates - and hold the practice to it. Set the deployment standards and review gates the wider Data Engineering team builds within, and make decisive calls on what gets promoted to production. Infrastructure & Platform Security Partnership Own Databricks account and workspace administration and partners with Infrastructure team for provisioning, the account console, identity federation (SCIM and SSO via Entra ID), and group and entitlement management. Partner with Infrastructure on platform security - Private Link and network connectivity, secret scopes, token governance, and exfiltration controls. Maintain deep conceptual command of these areas to translate operational needs into infrastructure requirements and to resolve platform issues that cross the operations / infrastructure boundary. Leadership & Matrixed Influence Drive outcomes across a matrixed organization - Infrastructure, Data Engineering, Fund Accounting, and Portfolio Oversight - setting priorities and securing alignment without sole positional authority. Make decisive operational and platform decisions. Coordinate platform change with the firm's data-governance and change-management processes rather than operating in parallel. EDUCATION/EXPERIENCE REQUIREMENTS: (including certification, licenses, etc.) Required: 8-12 years in data platform operations, DataOps, or a closely related discipline, with demonstrated hands-on production-support ownership. Strong, current Databricks platform operations experience - compute, cost and FinOps governance, SQL warehouses, workflows/DLT, and runtime management on Azure. Hands-on experience administering and deploying CI/CD and DevOps tooling (e.g., GitHub / GitHub Actions), Infrastructure-as-Code (Terraform), and observability tooling for a data platform. A proven track record of partnering with an infrastructure / cloud team on identity, networking, and platform security. Evidence of driving cross-functional outcomes in a matrixed environment and exercising sound, decisive judgment under operational pressure. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred: Experience in financial services, alternative investments, or real estate / infrastructure asset management, with familiarity with close cycles and investor-reporting calendars. Databricks Academy Accreditation - Platform Administrator, and/or Databricks Certified Data Engineer (Associate or Professional). Microsoft Certified: DevOps Engineer Expert (AZ-400). HashiCorp Certified: Terraform Associate. Experience operating BI / reporting platforms such as Domo as downstream consumers of a data platform. ABOUT YOU: The ideal candidate is a hands-on operator who takes personal ownership of platform reliability and stays calm and decisive under pressure - especially around quarter-end close and investor-reporting cycles. They are fluent in modern data platform operations on Databricks, disciplined about cost (FinOps), and as comfortable administering DevOps tooling and Infrastructure-as-Code as they are running an incident to root cause. They build durable partnerships with Infrastructure and Data Engineering and drive outcomes across a matrixed organization without relying on positional authority. Key Competencies: Entrepreneurial Mindset: Comfortable building from scratch in environments without mature processes; thrives with ambiguity and takes initiative. Business Partnership: Translates complex platform and operational trade-offs for non-technical stakeholders across Fund Accounting, Portfolio Oversight, and Investor Relations. Cross-Functional Collaboration: Proven track record of building relationships and influence without authority across technical and business functions. Business Value Orientation: Focuses on ROI and business outcomes, not just technical elegance; can prioritize initiatives based on business impact. Operational Rigor: Strong instincts for reliability, security, and controls - runbooks, monitoring, SLAs, and disciplined incident and change management. Continuous Learner: Stays current with the evolving Databricks, DevOps, and FinOps landscape; actively evaluates new tooling and approaches. WHAT CIM OFFERS: At CIM, we believe our success stems from our collective efforts, and we are committed to providing well-rounded support and resources for our employees. In addition to a competitive compensation plan, CIM offers a comprehensive benefits program for employees to thrive both inside and outside of work. Eligible employees can enjoy a wide range of benefits, including: A variety of Medical, dental, and vision benefit plans Health Savings Account with a generous employer contribution Company paid life and disability insurance 401(k) savings plan, with company match Comprehensive paid time off, including: vacation days, 10 designated holidays, sick time, and bereavement leave Up to 16 hours of volunteer time off Up to 16 weeks of Paid Parental Leave Ongoing professional development programs . click apply for full job details

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

Job Description Job Description 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

Salesforce Developer/Administrator, Graduate & Executive Education Programs Job Summary The David Eccles School of Business is seeking a collaborative, detail-oriented Salesforce Developer/Administrator to support Graduate Programs and Executive Education within the school's central Salesforce environment. This role will work closely with the Salesforce Team Lead and Lead Developer to deliver technical solutions, maintain and enhance existing functionality, and support the continued evolution of the school's Salesforce platform. The successful candidate will build upon established Salesforce architecture, data models, integrations, and development patterns rather than develop solutions in isolation. Working under the direction of the Team Lead and Lead Developer, this individual will collaborate with technical colleagues and business stakeholders to translate requirements into reliable, maintainable solutions that align with existing standards and long-term platform goals. Documentation, data analysis, and collaboration are essential to success in this role. The position requires someone who can understand complex business processes and data relationships, evaluate existing functionality, identify opportunities for improvement, and clearly document technical designs, system behavior, data flows, and implementation decisions. The individual should be comfortable working across configuration, Apex development, integrations, and reporting to address business needs while preserving the integrity and sustainability of the existing Salesforce environment. Learn more about the great benefits of working for University of Utah: benefits.utah.edu The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget. Responsibilities Salesforce Development & Platform Maintenance Collaborative Solution Development: Work under the direction of the Salesforce Team Lead and Lead Developer to design, develop, test, and implement Salesforce enhancements Collaborate throughout the development lifecycle to ensure solutions align with established architecture, coding standards, and business requirements Enhance Existing Functionality: Extend and improve existing Salesforce objects, automation, Apex classes, Lightning Web Components (LWC), integrations, and user experiences. Evaluate current functionality and reuse established patterns wherever appropriate to maintain consistency and reduce unnecessary complexity Technical Implementation: Apply sound development and configuration practices to deliver solutions appropriate to the requirements. Use Apex, LWC, SOQL/SOSL, Salesforce Flow, and other platform capabilities as appropriate, with an emphasis on maintainability, performance, security, and scalability Troubleshooting & Continuous Improvement: Investigate defects, analyze system behavior, identify root causes, and recommend solutions. Support ongoing maintenance, technical debt reduction, and platform improvements in collaboration with the Lead Developer and Team Lead Integrations & Data Processes: Support the development, maintenance, and troubleshooting of integrations and data pipelines between Salesforce and other university systems, including PeopleSoft, marketing platforms, and other enterprise applications Technical Documentation & Collaboration Technical Documentation: Create and maintain clear, comprehensive documentation for Apex classes, LWCs, Flows, integrations, data models, system architecture, data transformations, and business processes. Documentation should enable other team members to understand, maintain, troubleshoot, and extend implemented solutions Knowledge Sharing: Actively share technical knowledge, implementation decisions, and troubleshooting findings with the Salesforce team. Ensure that changes are documented and communicated so the broader team can effectively support the platform Collaborative Development: Partner closely with the Lead Developer and Team Lead to review requirements, discuss technical approaches, participate in code reviews, and resolve implementation challenges. Incorporate feedback and follow established development, testing, and release practices Stakeholder Engagement: Work with Graduate Programs, Executive Education, and other business stakeholders to understand requirements, investigate issues, and validate solutions. Communicate technical concepts clearly to both technical and nontechnical audiences Technical Recommendations: Evaluate proposed solutions and communicate their implications for data integrity, maintainability, security, performance, and future development. Recommend alternatives when appropriate and work collaboratively to determine the best path forward Data Analysis, Reporting & Platform Optimization Data Analysis: Analyze Salesforce data, relationships, and business processes to identify discrepancies, investigate issues, validate assumptions, and support informed technical decisions. Demonstrate the ability to work with complex datasets and translate findings into actionable recommendations Data Quality & Integrity: Investigate data inconsistencies, support validation and reconciliation processes, and help maintain reliable data across Salesforce and connected systems Reporting & Analytics: Develop, maintain, and optimize Salesforce reports and dashboards. Support data pipelines and integrations with Tableau to provide accurate, actionable insights into application funnels, enrollment trends, program outcomes, and corporate partnerships Salesforce Org Migration & Enhancement: Contribute to the migration to a new Salesforce org by supporting data transitions, application enhancements, testing, and documentation. Ensure the new environment builds upon established architecture and aligns with the school's broader Salesforce strategy Process Improvement: Analyze existing workflows and system functionality to identify opportunities to improve operational efficiency, data quality, reporting, and the experience of Salesforce users Governance, Security & Quality Assurance Architecture & Standards: Follow the technical direction, architectural decisions, coding standards, security requirements, and data governance practices established by the Salesforce Team Lead and Lead Developer Testing & Release Management: Develop and execute appropriate testing strategies, document results, support deployment activities, and verify that changes function as intended without disrupting existing processes Security & Data Protection: Follow established access controls, sharing models, secure coding practices, and university data management requirements when developing and maintaining Salesforce functionality Maintainability & Sustainability: Consider the long-term implications of technical decisions and prioritize solutions that are understandable, supportable, and consistent with the existing environment Responsibilities listed are representative and not all-inclusive. Other duties may be assigned based on evolving departmental needs and priorities. Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: IT Software Developer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. IT Software Developer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Preferences Minimum Qualifications Technical Skills: Experience with Salesforce Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL/SOSL, data modeling, and API integrations Data Analysis: Demonstrated ability to analyze complex data, investigate discrepancies, understand relationships across objects and systems, and use data to identify issues and inform solutions Documentation: Demonstrated ability to create and maintain clear technical documentation, including system processes, data flows, implementation details, and troubleshooting procedures Collaboration: Ability to work effectively with technical leads, developers, administrators, and business stakeholders; incorporate feedback; and contribute to shared technical decisions Problem-Solving: Strong analytical and troubleshooting skills, with the ability to investigate unfamiliar systems, understand existing functionality, and develop maintainable solutions Communication: Strong written and verbal communication skills, including the ability to explain technical concepts and document decisions for varied audiences Preferred Qualifications Salesforce Org Migration: Experience supporting a migration to a new Salesforce org, including data transitions, testing, and validation Higher Education Experience: Experience supporting university admissions, enrollment, graduate programs, executive education, or other higher education business processes Analytics & Reporting: Experience with Tableau, complex reporting, data transformation, and integrations supporting institutional analytics Integration Experience: Experience supporting integrations between Salesforce and enterprise systems, relational databases, marketing platforms, or cloud-based data pipelines Development Practices: Experience with source control, code reviews, automated testing, deployment processes, and technical documentation standards Certifications: Salesforce Administrator, Platform Developer I or II, Education Cloud Consultant, or other relevant Salesforce certifications Special Instructions Requisition Number: PRN46624B Full Time or Part Time? Full Time Work Schedule Summary: Monday through Friday . click apply for full job details

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 . About the Team Our Data Center Operations team is at the physical core of our business, responsible for building, maintaining, and operating the infrastructure that powers the cloud. We are seeking Data Center Technicians across a range of experience levels to ensure service availability, physical reliability, and operational excellence across our facilities. In this salaried, 100% on-site position, you will perform hands-on hardware and network diagnostics, equipment installations, structured cabling, and physical repairs. Your responsibilities and level of autonomy will match your experience, with opportunities to build technical skills and take on more complex work. Candidates will be leveled during the interview process based on technical expertise, depth of experience, and problem-solving ability. This role requires participation in a rotating on-call schedule. You must live within 60 minutes of the site to support on-call responsibilities and be able to travel up to 15% to other data center locations as needed. Key Responsibilities: Data Center Operations & Maintenance: Assemble, rack, stack, and maintain data center server, storage, and networking hardware. Maintain hot/cold aisle containment, conduct inventory audits, and perform routine physical maintenance. Diagnostics & Repair: Conduct hardware and network diagnostics on live and offline systems. Troubleshoot issues reported through tickets, replace components, and perform physical repairs. Equipment Deployment: Support equipment installations, device provisioning, and operating system installations, taking on more complex troubleshooting and deployment work as your experience grows. Structured Cabling & Security: Maintain high standards of cable management and structured cabling, and follow physical and cybersecurity protocols. Process & Documentation: Maintain accurate inventory records and ticket updates. Contribute to standard operating procedures (SOPs), technical documentation, and process improvements. Collaboration & Knowledge Sharing: Collaborate with local and cross-functional teams to support operational readiness. Share knowledge and contribute to team training and development. On-Call & Response: Participate in a rotating on-call schedule and be available to arrive on-site within 60 minutes when an incident requires hands-on support. Qualifications: Hardware Foundation: Hands-on experience or coursework in computer hardware assembly, installation, and physical and logical troubleshooting. Operating Systems & Networking: Familiarity with Linux operating systems and fundamental networking concepts. Problem-Solving & Judgment: Ability to follow established procedures, prioritize tasks, troubleshoot technical issues, and recognize when to ask for guidance or escalate. Communication & Teamwork: Strong organizational and communication skills, a collaborative and curious mindset, and a commitment to high reliability standards. Learning & Development: Willingness to build technical skills, learn new systems, and take on responsibilities that match your experience. Physical Requirements: Ability to perform the following essential duties, with or without reasonable accommodation: Move and position equipment weighing up to 50 lbs. Remain in a stationary position for extended periods while performing diagnostics and repairs. Access equipment in confined spaces, under-floor areas, and on ladders. Handle small hardware components, connectors, and cabling with precision. Work in data center environments with hot/cold aisle temperatures ranging from 60 ree;F to 90 ree;F. Preferred Skills: Associate's degree, bachelor's degree, or equivalent practical experience in Computer Science, Information Technology, Computer Networking, or a related field. Hands-on experience in enterprise or commercial data center environments. Experience with Linux OS administration, command-line tools, and device provisioning. Scripting and automation experience with Python, Bash, or shell scripts. Networking experience with Cisco IOS, Juniper Junos, or enterprise switch/router configurations. Industry certifications such as CompTIA A+, Network+, Server+, or Linux+. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Compensation & Benefits The base salary range for this role is $65.000 to $85,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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 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 . About the Team Our Data Center Operations team is at the physical core of our business, responsible for building, maintaining, and operating the infrastructure that powers the cloud. We are seeking Data Center Technicians across a range of experience levels to ensure service availability, physical reliability, and operational excellence across our facilities. In this salaried, 100% on-site position, you will perform hands-on hardware and network diagnostics, equipment installations, structured cabling, and physical repairs. Your responsibilities and level of autonomy will match your experience, with opportunities to build technical skills and take on more complex work. Candidates will be leveled during the interview process based on technical expertise, depth of experience, and problem-solving ability. This role requires participation in a rotating on-call schedule. You must live within 60 minutes of the site to support on-call responsibilities and be able to travel up to 15% to other data center locations as needed. Key Responsibilities: Data Center Operations & Maintenance: Assemble, rack, stack, and maintain data center server, storage, and networking hardware. Maintain hot/cold aisle containment, conduct inventory audits, and perform routine physical maintenance. Diagnostics & Repair: Conduct hardware and network diagnostics on live and offline systems. Troubleshoot issues reported through tickets, replace components, and perform physical repairs. Equipment Deployment: Support equipment installations, device provisioning, and operating system installations, taking on more complex troubleshooting and deployment work as your experience grows. Structured Cabling & Security: Maintain high standards of cable management and structured cabling, and follow physical and cybersecurity protocols. Process & Documentation: Maintain accurate inventory records and ticket updates. Contribute to standard operating procedures (SOPs), technical documentation, and process improvements. Collaboration & Knowledge Sharing: Collaborate with local and cross-functional teams to support operational readiness. Share knowledge and contribute to team training and development. On-Call & Response: Participate in a rotating on-call schedule and be available to arrive on-site within 60 minutes when an incident requires hands-on support. Qualifications: Hardware Foundation: Hands-on experience or coursework in computer hardware assembly, installation, and physical and logical troubleshooting. Operating Systems & Networking: Familiarity with Linux operating systems and fundamental networking concepts. Problem-Solving & Judgment: Ability to follow established procedures, prioritize tasks, troubleshoot technical issues, and recognize when to ask for guidance or escalate. Communication & Teamwork: Strong organizational and communication skills, a collaborative and curious mindset, and a commitment to high reliability standards. Learning & Development: Willingness to build technical skills, learn new systems, and take on responsibilities that match your experience. Physical Requirements: Ability to perform the following essential duties, with or without reasonable accommodation: Move and position equipment weighing up to 50 lbs. Remain in a stationary position for extended periods while performing diagnostics and repairs. Access equipment in confined spaces, under-floor areas, and on ladders. Handle small hardware components, connectors, and cabling with precision. Work in data center environments with hot/cold aisle temperatures ranging from 60 ree;F to 90 ree;F. Preferred Skills: Associate's degree, bachelor's degree, or equivalent practical experience in Computer Science, Information Technology, Computer Networking, or a related field. Hands-on experience in enterprise or commercial data center environments. Experience with Linux OS administration, command-line tools, and device provisioning. Scripting and automation experience with Python, Bash, or shell scripts. Networking experience with Cisco IOS, Juniper Junos, or enterprise switch/router configurations. Industry certifications such as CompTIA A+, Network+, Server+, or Linux+. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Compensation & Benefits The base salary range for this role is $65.000 to $85,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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.

Job Description Job Description Imagine One Technology & Management, Ltd. is seeking a Network Engineer, Senior , contingent upon award of the associated work. This position will be based in Washington D.C. The Senior Network Engineer will provide enterprise-level network engineering support for DoD environments, including architecture design, implementation, modernization, and sustainment of secure WAN/LAN infrastructures across classified and unclassified systems. Key Responsibilities: Design, configure, and maintain enterprise WAN/LAN network architectures. Implement and manage routers, switches, firewalls, and secure network devices. Support network modernization and infrastructure upgrades. Perform network troubleshooting, fault isolation, and performance optimization. Develop and maintain network diagrams and configuration documentation. Implement STIGs and support cybersecurity compliance activities. Coordinate with Government stakeholders to support network integration and sustainment. Desired Experience: 10+ years of enterprise network engineering experience. Experience supporting DoD or Navy network environments. Experience with Cisco routing and switching technologies. Experience with firewall configuration (ASA, FirePower, SRX, etc.). Experience supporting ATO accreditation efforts. Familiarity with DISA or Joint network environments. Education Requirements: Master's degree preferred. Bachelor's degree plus four (4) additional years of relevant work experience may be substituted for a Master's degree. Minimum Certifications: Cisco Certified Network Associate (CCNA)/Interconnecting Cisco Network Devices II (ICND2) or equivalent (e.g. Juniper Networks and CompTIA). IAT Level III at contract award (IAT certification in accordance with DODD 8140). Security Requirements: U.S. Citizen. Active TOP SECRET/SCI clearance required. Imagine One offers a full package of benefits and competitive salary, excellent group medical, vision, and dental programs. 401K savings plan; $4K annual tuition reimbursement ($5K if pursuing master's degree); employee training, development, and education programs; profit sharing; advancement opportunities; and much more! ISO 9001:2015, ISO 20000-1:2018, ISO 27001:2022 CMMI Development and Services - Maturity Level 3 CMMC Level 2 (C3PAO) An Employee-Owned Business EEO/Vets/Disabled

Job Description Job Description Sigma Defense is seeking a B2 Lead Network Engineer to join our team in Perry, GA. This position will lead, and be responsible for, the maintenance, evolution, and management of the tactical network configurations associated with the Block 2 (B2) architecture of the DISA AISR - DT program. The hired candidate will be required to interface with customers and key leadership for updates, reporting, and future planning. This is a contingent position that is pending award of contract. This means that the position is subject to the successful awarding of a contract and will be confirmed once the contract is finalized. The candidate selected for this role will be offered the position on the condition that the contract is awarded to our organization. Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems 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, or protected veteran status and will not be discriminated against on the basis of disability. Requirements 8+ years of experience in networking (CCNA with 5 years of experience in networking or CCNP with 2 years of experience in networking will be considered). Strong troubleshooting skills. Network configuration managements experience. Network configuration automated generation experience. Network configuration design experience. Ability to display professional authority on networking topics while interacting with customers and key leaders. Must be a U.S. citizen. Mandatory Certifications: COMPTIA Security + or IAT II equivalent: CCNA Security / CySA+ / GICSP. Cisco Certified Network Professional (CCNP) Certification. Well qualified candidates may be provided a 90 day window to achieve the mandatory certification. Personnel Clearance Level: Candidate must possess or have the ability to obtain an active Secret security clearance or higher. Clearance may be sponsored for ideal candidates. Education Requirements: High School Diploma or equivalent is required. Essential Job Duties (not all-inclusive): Integration and design work related to existing or emerging networking portions of the program. Maintenance of existing program network configurations repository. Engineering configuration changes in response to emergent or planned architecture modifications. Coordination of configuration delivery and access to customer sites and systems. Interfacing with government and civilian program partners for updates and planning. Configuration design in support of new integrations or products associated with the program. Develops and deploys plans and designs of network systems that will meet DISA AISR-DT requirements for performance, security, and compliance with relevant standards and regulations. Conducts tactical network architecture design, feasibility assessment, and inter-tier collaboration. Defines monitoring, maintenance, expansion, contingency, and recovery plans and strategies to ensure the network is responsive to changes in demand. Troubleshoots network issues and develops appropriate solutions, resources, and deployment processes. Keeps informed of the latest technologies to enhance knowledge of networking hardware, software, and best practices. Salary Range : $90,000 - $130,000 annually. Benefits Dental and Vision Insurance Medical Insurance to Include HSA, FSA, and DFSA Plans Life and AD&D coverage Employee Assistance Program (EAP) 401(k) Plan with Company Matching Contributions 160 Hours of Paid Time Off (PTO) 12 (Floating) Holidays Educational Assistance Highly Competitive Salary