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Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking an experienced Security Lead to own the Program security posture, compliance artifacts, and coordination with Program Security Oversight leadership. This role shares leadership of the security team with a Co-Lead and directs the work of the Information Security Specialist team, ensuring compliance documentation, vulnerability management, and ATO artifacts are complete, current, and defensible in a complex federal healthcare IT environment. The ideal candidate brings deep federal cybersecurity experience, a track record of leading security teams, and the judgment to represent the program's security posture to executive and government stakeholders. What You Will Do: Own Task 3 security management deliverables, including compliance documentation, risk register maintenance, and coordination with the Program Security Oversight Leader. Direct and coordinate the Information Security Specialist team, including workload distribution and quality oversight of security deliverables, alongside the Sr. Information Security Specialist (Co-Lead). Support Authorization to Operate (ATO) maintenance, continuous Assessment & Authorization (A&A) activities, and FISMA/FedRAMP compliance documentation for Client-managed systems. Author and review security documentation, including System Security Plans (SSPs), Risk Assessments, and Security Impact Analyses (SIA), prior to submission to Program Security Oversight leadership. Oversee vulnerability scanning, remediation tracking, and security findings reporting across enterprise tools; review results and recommended corrective actions from the Information Security Specialist team. Serve as the primary security point of contact with Program Security Oversight Leadership, and maintain collaborative relationships with federal ISSOs, CSPs (e.g., AWS, Azure), system owners, and vendors. Coordinate with the Tools Management team through the combined Security/Tools scrum cadence. Track and maintain the centralized Security Risk Register, map vulnerabilities to POA&Ms, and support FISMA/FedRAMP compliance efforts across the program. Provide guidance and privacy/security insight to Agile teams across projects, and support Privacy and Security Compliance through all stages of the systems development lifecycle (SDLC). Work within Client system repositories such as CFACTS and BOX. Oversee declared game day events, ensuring after-action reports and other required game day artifacts are completed by the security team. Develop and maintain standard operating procedures (SOPs) for repeatable security processes across the team. Perform additional duties as assigned by the Program Security Oversight Leader. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree or higher in Computer Science, Information Technology, Cybersecurity, Systems Engineering, or a related field (or equivalent professional experience). 8+ years of information security experience in a federal or enterprise environment, including team leadership. Experience with FISMA compliance, ATO processes, and continuous Assessment & Authorization (A working understanding of NIST 800-53/37. Experience co-leading or managing a multi-person security team, including workload distribution and quality oversight of deliverables. Working knowledge of vulnerability scanning and compliance/POA&M platforms, Jira, Confluence, and FISMA/ATO documentation standards and processes. Ability to obtain and maintain Program EUA access and required Public Trust clearance. Strong communication skills and ability to coordinate across multi-disciplinary teams and government stakeholders. Even Better: Prior Program or HHS security program experience strongly preferred. Relevant security certification (CISSP, CISM, CEH, CCNA Security, or Security+). Familiarity with federal control tracking systems (e.g., CFACTS and BOX). Working knowledge of cloud environments (AWS, Azure) and associated security controls. Exposure to pen testing, application security, and CDN security services (e.g., Akamai). Experience providing security and privacy input within Agile development environments. Knowledge about emerging industry or technology trends such as Artificial Intelligence (AI) frameworks. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans

Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore

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 role: The Tiger Team, Technical Deployment Lead, will support the expansion of our Data Centers across the U.S and Canada. The Technician must work well with others and will help ensure overall availability and reliability to meet or exceed the defined service levels of the hybrid travel data center operations. This position involves infrastructure delivery on all CoreWeave data centers, training on-site teams, and hardware and network diagnostics. This is a 100% onsite role at one of our West coast region U.S. data centers , with up to 60% of travel required on a rotational basis. What You'll Do: Nationwide travel to data centers to build and deploy new and ongoing sites Implementation and documentation of a global data center standard Troubleshoot hardware and networks Root cause analysis of hardware and software failures Train internal teams Perform on-site audits through our set QA/QC process Provide technical support to global data center teams Develop tools and scripts to update server and networking hardware Perform maintenance of test and tools equipment Follow-up project support Who You Are: You are a skilled and motivated technician with the ability to influence others who thrives in a fast-paced, hands-on environment. You are passionate about technology and possess the following qualifications: You have hands-on experience troubleshooting and assembling computer hardware. You are proficient with the Linux operating system. You possess a comprehensive knowledge of data center cut sheets and technical documentation. You have a strong understanding of best practices for cable management and hardware orientation. You are an effective communicator who collaborates seamlessly with network engineers and project managers. You excel at time management and take full ownership of your projects to meet demanding deadlines. You are flexible, with the ability to travel and work in a 24/7 operational environment. You can lift up to 50 lbs and are comfortable working in elevated locations. (All physical requirements are subject to reasonable accommodations.) The base salary range for this role is $90,000 to $102,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (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 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 . What You'll Do The Technical Deployment Regional Manager - Tiger Team is responsible for overseeing multiple data center builds, both new and existing, within their region during the physical infrastructure delivery phase. You will lead a team of regional Tiger Team Build Leads and Technicians, own the plan of action for every build in your region, and serve as the connective tissue between the on-site team and the Project Management, Program Management, Procurement, and Regional Data Center Operations teams. CoreWeave operates as a single unit, and this role exists to make sure every site in your region has the people, materials, and direction it needs to deliver ahead of aggressive customer deadlines. About the Role Manage and deploy new and ongoing data center sites within your region, owning the action plan for each build from kickoff through delivery. Build and maintain strong working relationships across the business in your region, with Project Management, Program Management, and Regional Data Center Managers as your closest partners. Sync daily with on-site Tiger Team Build Leads to assist where needed, resolve blockers, and escalate issues immediately so builds stay on schedule. Set weekly goals and daily plans of action for Build Leads, including contingency plans when site conditions change. Attend weekly capacity meetings and build sync meetings, capture updates relevant to your region, and relay them to your build leads on regional calls. Maintain high visibility in build communication channels to support the boots-on-the-ground team, who often have limited connectivity during active builds. Partner with Procurement and inventory teams on inbound and outbound shipments, keeping the BOM current and immediately reporting short, damaged, or missing gear. Assess staffing needs weekly and adjust team coverage across sites; coordinate headcount requirements with the Project Coordinator. Own and maintain the Tiger Team site trackers, completing weekly updates to prepare for the following week. Travel to sites in your region to provide hands-on support and make on-the-ground decisions to pivot or push a build. Advance and enforce data center standards, and develop and implement site-specific build documentation. Cultivate and maintain vendor and colocation partner relationships. Formulate efficiency strategies to ensure the timely completion of projects, and provide progress reports on builds to relevant stakeholders. Ensure site compliance with local safety standards, regulations, and internal policies, and foster a positive safety culture through communication, accountability, training, and reporting. Lead weekly toolbox talks and create training sessions to grow team knowledge across data center operations, power, networking, hardware, and fiber. Conduct regular 1:1s with all team members, document feedback, and build personal and career development plans that grow your technicians technically and professionally. Provide consistent, direct communication when performance or CoreWeave core values are not met, partnering with HR when further action is required. Comply with training protocols established by the Global Alignment Team and uphold CoreWeave values at all regional sites. Who You Are 3+ years of management experience Strong interpersonal and collaboration skills Deep understanding of data center topology, data center deployment and operations, and infrastructure knowledge 5+ years of computer hardware experience (troubleshooting, assembling, deploying) 2+ years of Linux operating system experience 4+ years of fiber/ethernet cabling experience 4+ years of supply chain experience Comprehensive knowledge of data center cut sheets and overheads Strong understanding of cable management and hardware orientation Ability to communicate effectively with vendors, facilities, network engineers, project managers, and Data Center Operations peers Excellent time management skills, with the ability to take ownership of a build and meet the demands of tight deadlines A hands-on leader who works alongside the team, sets the example for accountability, and leads through change Ability to travel and work in an environment that operates 24/7 All physical requirements are expected with reasonable accommodations This role requires up to 40% travel throughout the year. While most site visits occur during the work week, weekend travel may be necessary to meet urgent operational demands. 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 provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization 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! The base pay for this position ranges from $120,000 to $145,000. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. 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 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 role: The Tiger Team, Technical Deployment Lead, will support the expansion of our Data Centers across the U.S and Canada. The Technician must work well with others and will help ensure overall availability and reliability to meet or exceed the defined service levels of the hybrid travel data center operations. This position involves infrastructure delivery on all CoreWeave data centers, training on-site teams, and hardware and network diagnostics. This is a 100% on-site role at one of our Central region, U.S. data centers , with up to 60% of travel required on a rotational basis. What You'll Do: Nationwide travel to data centers to build and deploy new and ongoing sites Implementation and documentation of a global data center standard Troubleshoot hardware and networks Root cause analysis of hardware and software failures Train internal teams Perform on-site audits through our set QA/QC process Provide technical support to global data center teams Develop tools and scripts to update server and networking hardware Perform maintenance of test and tools equipment Follow-up project support Who You Are: You are a skilled and motivated technician with the ability to influence others who thrives in a fast-paced, hands-on environment. You are passionate about technology and possess the following qualifications: You have hands-on experience troubleshooting and assembling computer hardware. You are proficient with the Linux operating system. You possess a comprehensive knowledge of data center cut sheets and technical documentation. You have a strong understanding of best practices for cable management and hardware orientation. You are an effective communicator who collaborates seamlessly with network engineers and project managers. You excel at time management and take full ownership of your projects to meet demanding deadlines. You are flexible, with the ability to travel and work in a 24/7 operational environment. You can lift up to 50 lbs and are comfortable working in elevated locations. (All physical requirements are subject to reasonable accommodations.) 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! The base salary range for this role is $90,000 to $102,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (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 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 Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. 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 growth opportunities within the organization 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! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . 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 Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. 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 growth opportunities within the organization 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! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

BASIC QUALIFICATIONS - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, 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).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, 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).

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

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

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 . What You'll Do: CoreWeave's Network Security team ensures network infrastructure is secure, resilient and compliant. Our team partners with engineering, product teams, and partners to build secure network solutions that protect critical infrastructure and continuously improve the security posture to meet the needs of our customers. With our growing reliance on connected technology, the need to keep critical systems secure, reliable, and resilient has never been more important. We are seeking an OT Security Engineer to join our team and play a pivotal role in safeguarding the operational technologies that support our datacenter networks. About the role: This position offers a unique opportunity to work at the crossroads of cyber security, operational technology (OT), engineering, and datacenter operations. As the network security engineer responsible for our operational technology networks, your responsibilities will include identifying and evaluating cybersecurity risks, designing and launching pragmatic security solutions, and embedding security controls directly into the operational systems and technologies supporting our infrastructure. You will work with suppliers and third parties in benchmarking their capabilities against expectations and industry standards. You will also lead efforts in partnering with peer security teams and partners in production engineering as you lead continuous improvement of security posture for operational technology network environments and the devices connected. This role requires both depth in understanding network security, and breadth of knowledge of the unique challenges that face the industry in securing the infrastructure that is the foundation of modern datacenters. You will act as a trusted partner who goes beyond advisory work to roll up your sleeves and deliver. Some things you will work on: Establishing standards for security expectations covering all operational technology networks and devices connected to them. This will include network segmentation, host isolation, network traversal controls, and remote connectivity. Providing solutions to complex security issues, manage multiple tasks, and prioritize effectively in a fast-paced environment. Creating an inventory and risk register that can be used as a baseline in understanding near term and long term objectives. Partnering with production engineering and business development teams evaluating priorities for risk reduction in current deployments, and risk avoidance by evolving standards for future growth. Executing and partnering with other parties in using penetration testing to evaluate effectiveness of existing controls. Coordinating with third parties and internal teams in addressing vulnerabilities via mitigation, isolation or other strategies to protect critical infrastructure in these environments. Researching industry risks and drive change in operational networks to continuously reduce risk Developing and test recovery models and response playbooks to handle compromise scenarios. Presenting technical security information to both technical and non-technical audiences, including external partners. Maintain technical documentation, reports, and security tooling with attention to detail. Who You Are: 5+ Years of experience in network infrastructure security (firewalls, ACLs, architecture, risk management) in a global network environment. Proficiency in at least one programming or scripting language (e.g., Go, Python, C/C++) for automation, code reviews, and tooling. Bachelor's degree in Computer Science or related field. Relevant certifications such as CISSP, CCNP, PCNSE are advantageous. Experience with operational technology networks (factory or industrial systems, building management systems, power, physical security systems, remote access, HVAC, etc.), factory networks or other similar environments. Strong technical knowledge of network firewalls, virtual private networks, network segmentation, and defense in depth. Able to navigate ambiguity, identify root causes, and solve complex security problems. Excellent written and verbal communication skills with strong technical documentation abilities. Capable of working independently while managing multiple priorities in a fast-paced environment. Strong desire to continuously learn and adopt new technologies and security techniques. Preferred: Prior experience with operational technology networks that span global locations Experience with the range of obscure solutions that are often deployed on operational technology networks. Deep understanding of business-wide security best practices and implementation strategies. Experience with network automation, agentic network tooling, and incident response automation. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to solve problems that few others would tackle. You're curious about critical network infrastructure that is the foundation of modern data centers. You're an expert in network security with a passion to explore the more exotic nature of operational technology. 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! The base salary range for this role is $164,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . . click apply for full job details

Job Description Job Description Overview We are seeking a CSfC Senior Network Engineer to join our team supporting Network Enterprise Technology Command (NETCOM) in Honolulu, HI. 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 Assists the PM in the day-to-day management of leading Network Engineers. Must have an in-depth understanding of advanced networking O&M Commercial Solutions for Classified (CSfC) concepts and processes and experience applying these with little to no guidance. Must be able to provide guidance to others. Must be able to perform successfully in complex, unstructured situations. Must be proficient in multivendor networking environments in configuring firewalls, Intrusion Prevention/Detection systems, VPN gateways, routers, and switches (Cisco, Aruba, Juniper, Cisco ASA, etc.) Be able to develop and modify system scripts. Write standardized system documentation, including configuration guides, test procedures, test results, and training materials. Provide onsite training to technical and non-technical users on the daily use, management, and troubleshooting of the solution after installation. Support all Cross-Domain solution requirements Collaborate with other operations departments to design approved infrastructure Serve as the escalation contact during large outages for Tier 2 and 3 systems. Author network Engineering Design Packages to include detailed implementation project plans and procedures. Configures network, software, and hardware components to meet NSA CSfC, NIAP, and DoD requirements Performs network design and systems integration Designs, develops, implements, tests, and maintains complex secure communications networks Configuring/managing PKI Certificate Authorities for CSfC solutions Familiarity with Certificate Authority configuration (ISC CertAgent/MS Windows Server/Red Hat Certificate systems) Document configuration, test procedure, results, and training materials Preparing test reports and configuration documentation according to customer standards. Providing customer on-site training on solution daily use, management, and troubleshooting Provide tier 2 and 3 support as part of a technical team. Identify and recommend hardware and support solutions based on research and analysis of new technologies, interfacing with customers and vendors. Enhance department and organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to the company. Apply DoD STIGs and IAVAs Perform special projects and other duties as assigned. REQUIRED QUALIFICATIONS Top Secret OR Higher OR Secret Clearance level with completed T5 investigation Active Professional Network certification (CCNP-Security, CCNA, HPE Aruba Networking Certified Professional - Switching, etc.) Must have experience with one or more networking vendors: Cisco, Aruba, Juniper, etc. One of the following DoD8140 Certifications : SecurityX/CASP+ CCNA CCNP Security CCSP (Certified Cloud Security Professional) GCED (GIAC Certified Enterprise Defender) GCIA (GIAC Certified Intrusion Analyst) GCLD (GIAC Cloud Security Essentials) GDSA (GIAC Defensible Security Architecture) GFACT (GIAC Foundational Cybersecurity Technologies) 10 or more years of experience in engineering MA/MS= 10 years; BS=12 years 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: Honolulu, HI Type of environment: Office Noise level: Low Work schedule: CONUS Schedule is day shift Monday - Friday. May be requested to work evenings and weekends to meet program and contract needs. Amount of Travel: Less than 20% 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 handle, feel, touch; reach with hands and arms; talk and 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 United States Citizenship Top Secret Clearance requirement WAGE INFORMATION Target salary range: $133,000.00 - $165,000.00. 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. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment. Many positions require specific certifications and/or the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who accept an offer of employment may be subject to investigations performed by TekSynap and/or the Government to verify the candidate meets the required qualifications and other eligibility requirements. EQUAL EMPLOYMENT OPPORTUNITY In order to provide equal employment and advancement opportunities to all individuals, employment decisions will be based on merit, qualifications, and abilities. TekSynap does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, genetic information or any other characteristic protected by law (referred to as "protected status"). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment.

Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.

Job Description Job Description Dark Wolf Solutions is seeking a Senior Security Control Assessor Representative (SCAR) to conduct independent comprehensive assessments of the management, operation, and technical security controls and control enhancements employed within, or inherited by, an Information technology (IT) system to determine the overall effectiveness of the controls. The SCAR will perform reviews of security artifacts for system authorizations, assessing both the technical and functional adequacy as required for application and software cybersecurity readiness. The SCAR candidate must have prior experience in authorizing tools/applications, systems, and/or enclaves. Additionally, knowledge of network security, technologies, processes, and practices designed for the prevention of damage to, protection of, and restoration of computers, communications systems, services, and various types of communications technologies. The SCAR candidate must be knowledgeable and proficient in assessing DoD GovCloud environments to include testing controls and validating artifacts. A successful candidate will have a strong foundational understanding of NIST, DOD, and DAF cybersecurity focused guidance. This position can be based out of any Dark Wolf Office location and will be a hybrid schedule. Additional responsibilities include: Key Responsibilities: Evaluating IT infrastructure in terms of risk to the organization and defining artifacts required to meet Federal, DoD and DAF requirements Assessing IT systems and architecture to ensure compliance with the Risk Management Framework (RMF), NIST Cybersecurity Framework (CSF), NIST 800-53 revision 5 and applicable guidance Supporting the system/application assessment and authorization (A&A) effort, to include assessing and guiding the quality and completeness of A&A activities, tasks and resulting artifacts mandated by governing DoD and AF policies, and applicable mandates Collecting, reviewing and verifying documented business processes within process narratives or flowcharts, identifying risks and validating proficiency of mitigating controls Reviewing risk and control matrices and testing plans for key controls and determines effectiveness Identifying control gaps, reviewing and testing the design of existing controls. Formulating clear and concise conclusions on internal controls and business process efficiency Recommending policies and procedures to ensure information systems reliability and accessibility and to prevent and defend against unauthorized access to systems, networks, and data Conducting risk and vulnerability assessments of installed information systems to identify vulnerabilities, risks, and protection needs Reviewing Plans of Actions & Milestones (POA&Ms) Providing recommendations and reports to the Security Control Assessor (SCA), Authorizing Official (AO), Chief Information Security Officer (CISO) Reviewing network and systems design to ensure accuracy Ensuring the rigorous application of information security/cybersecurity policies, principles, and practices in the delivery of all IT services Required Qualifications: 15+ years of relevant Cyber experience 15+ years prior experience as a Security Control Assessor/Representative RMF Engineer, ISSO, ISSM and/or information assurance engineer Cloud Platform experience with at least one service offering from AWS, Azure, or Google GCP Hands-on eMASS and/or Xacta experience completing full system lifecycle activities Experience with Air Force risk management policies/procedures, to include, DODI 8510.01, AFI 17-101 Experience with Cloud Computing Security Requirements Guide (CC SRG) Knowledgeable with DoD DevSecOps Fundamentals Playbook Experience evaluating information security compliance against STIGs Ability to clearly articulate ideas Strong technical writing abilities to author reports for AO and CISO dissemination Exudes confidence in providing briefings, presentations, and in conducting/guiding meetings with senior leadership and stakeholders Ability to use prior experience and knowledge to address new situations Certification requirements (at least one of the following): SecurityX / CASP+, CCISO, CGRC/CAP, CISA, CISM, CISSO, CISSP, CISSP-ISSEP, Cloud+, CySA+, FITSP-A, GCSA, GSEC, GSLC, GSNA, PenTest+, Security+ B.A. or B.S. Information Security, Computer Science or related discipline US Citizenship and currently possess a Top Secret security clearance Desired Qualifications: Experience with Fast Track ATO Handbook & AF Continuous ATO Playbook Familiarity with CI/CD Pipelines DevSecOps experience Sharepoint, JIRA, Confluence familiarity The salary range for this position is $140,000.00 - $145,000.00 commensurate on experience and technical skillset. We are open to considering a variety of levels of experience for these projects and potential for 1099 hourly opportunity. We are proud to be an EEO/AA Employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

Job Description Job Description Network Security EngineerEngineer Secure, Resilient Network Services That Support Mission-Critical OperationsGeorgia System Operations Corporation (GSOC) is seeking a Network Security Engineer to design, implement, secure, and operate corporate network services and cybersecurity tools that enable reliable, protected business operations.This hands-on role combines enterprise network engineering and cybersecurity expertise across datacenter, campus, remote-site, internet-edge, and approved cloud environments. The Network Security Engineer helps safeguard availability, performance, secure access, and security visibility while advancing resilient, supportable, and automated network and security services.This opportunity is ideal for an experienced network and security professional who enjoys solving complex technical problems, strengthening controls, supporting incident response, mentoring peers, and collaborating across infrastructure, cybersecurity, application, service desk, and vendor teams. This is an onsite position and it is not eligible for visa sponsorshipWhat You'll DoAs a Network Security Engineer, you will engineer and support the network and network-focused security services that connect and protect enterprise users, systems, and sites.You will:Design, deploy, and support datacenter and campus switching, routing, VLANs, VRFs, high availability, capacity planning, and network segmentation.Administer next-generation firewalls, security zones, NAT, threat-prevention services, firewall policy lifecycle, and least-privilege access controls.Engineer WAN, internet-edge, remote-site, remote-access VPN, and site-to-site VPN connectivity, including integrations with identity, MFA, and device-trust services.Design and support corporate and guest wireless, controllers, access points, RF performance, 802.1X, network access control, device profiling, and secure authentication.Configure load balancers, virtual servers, pools, health monitors, persistence, TLS termination, and high-availability services.Manage the network-facing certificate lifecycle and PKI integrations.Engineer and operate secure web and DNS controls, network detection and response, security logging, SIEM integrations, and security-control health monitoring.Partner with the Security Operations Center on alert tuning, investigations, evidence gathering, and operational security use cases.Support secure DNS, DHCP, and IP address management and maintain telemetry, flow data, logging, alerting, packet analysis, and service dashboards.Maintain secure configuration baselines, backups, firmware and software lifecycle, and remediation of network-device and security-tool vulnerabilities.Automate repeatable work using APIs, scripting, and infrastructure-as-code practices.Develop and test network and security-platform recovery and failover capabilities.Prepare change and rollback plans and provide incident escalation, containment support, root-cause analysis, and vendor coordination. This role also:Works independently within established standards and change processes.Provides technical leadership for projects and mentors peers.Participates in technology evaluations, proof-of-concepts, cross-functional initiatives, backup support, and knowledge transfer. What You BringBachelor's degree in Information Technology, Computer Science, Engineering, Cybersecurity, or a related field. Equivalent combination of education, training, and directly related work experience may be considered.Ideally 5+ years of progressive experience supporting enterprise network and network-security infrastructure, including switching, routing, firewall administration, VPN, wireless, and troubleshooting.Strong knowledge of enterprise LAN/WAN, datacenter switching, routing, firewalls, VPN, wireless, NAC, load balancing, PKI and certificates, DNS, DHCP, IPAM, and secure configuration management.Hands-on experience operating cybersecurity tooling such as secure web and DNS services, network detection and response, vulnerability management, SIEM and logging integrations, and security monitoring.Experience with network and security automation using Python, PowerShell, Ansible, Terraform, APIs, or comparable tools.Working knowledge of NIST CSF, CIS Controls, incident-response practices, and applicable regulatory or industry requirements, including NERC CIP where relevant to the IT environment.Strong analytical, troubleshooting, documentation, communication, collaboration, and customer-service skills. Preferred QualificationsEnterprise Network EngineeringExperience engineering highly available datacenter, campus, WAN, internet-edge, remote-site, wireless, and VPN services.Experience with segmentation, least-privilege access, identity and MFA integrations, device trust, and network access control.Experience with load balancing, TLS termination, application delivery, certificate lifecycle management, and PKI integrations.Network Security & DetectionExperience operating next-generation firewalls, threat-prevention services, secure web or DNS controls, network detection and response, and vulnerability-management processes.Experience integrating network-security telemetry with SIEM, logging, alerting, dashboards, and incident-response workflows.Experience partnering with a SOC on investigation, tuning, containment, evidence, or root-cause activities.Automation, Resilience & OperationsExperience automating network or security operations through scripting, APIs, Ansible, Terraform, or infrastructure as code.Experience developing recovery, failover, configuration-backup, firmware-lifecycle, and vulnerability-remediation practices.Experience preparing changes, rollback plans, technical documentation, performance measures, and vendor-supported resolutions.CertificationsRelevant credentials such as CCNA, CCNP, ACP, PCNSE or equivalent firewall-vendor certification, CWNA, Security+, CISSP, AZ-700, or similar certifications are preferred. Advantages of Working at GSOCWorking at GSOC means more than just a job it's an opportunity to contribute to work that truly matters. Mission-Driven ImpactYour work supports secure, reliable corporate network services and cybersecurity capabilities used across GSOC's enterprise environment. Network Engineering & Cybersecurity DepthApply both network engineering and hands-on security expertise across switching, routing, wireless, firewalls, VPN, application delivery, monitoring, automation, and incident support. Technical Leadership & Continuous ImprovementLead technical projects, mentor peers, evaluate new technologies, automate repeatable work, and strengthen resilience, visibility, and operational supportability. Strong Values and Professional StandardsWork in an environment grounded in accountability, collaboration, integrity, security, compliance, and continuous improvement. Work Environment & BenefitsGSOC offers a professional, collaborative work environment with competitive compensation, comprehensive benefits, and a commitment to creating a respectful and inclusive workplace.Participation in an on-call rotation, emergency support, and scheduled maintenance outside normal business hours is required. Why Join GSOCAt GSOC, you will help engineer the network and security services that enable dependable business operations, secure access, security visibility, and resilient enterprise technology.You'll collaborate across infrastructure, cybersecurity, applications, service desk, and vendor teams while expanding your technical leadership and automation capabilities. Apply TodayIf you're ready to combine enterprise network engineering and cybersecurity expertise in a hands-on role supporting reliable, protected operations, we encourage you to apply. GSOC does not accept unsolicited resumes or candidate submissions from staffing agencies, search firms, or third-party recruiters. Any unsolicited resumes submitted without a valid, executed agreement will become the property of GSOC, and no placement fee will be paid. Job Posted by ApplicantPro

Job Description Job Description Dark Wolf Solutions is seeking a Senior Security Control Assessor Representative (SCAR) to conduct independent comprehensive assessments of the management, operation, and technical security controls and control enhancements employed within, or inherited by, an Information technology (IT) system to determine the overall effectiveness of the controls. The SCAR will perform reviews of security artifacts for system authorizations, assessing both the technical and functional adequacy as required for application and software cybersecurity readiness. The SCAR candidate must have prior experience in authorizing tools/applications, systems, and/or enclaves. Additionally, knowledge of network security, technologies, processes, and practices designed for the prevention of damage to, protection of, and restoration of computers, communications systems, services, and various types of communications technologies. The SCAR candidate must be knowledgeable and proficient in assessing DoD GovCloud environments to include testing controls and validating artifacts. A successful candidate will have a strong foundational understanding of NIST, DOD, and DAF cybersecurity focused guidance. This position can be based out of any Dark Wolf Office location and will be a hybrid schedule. Additional responsibilities include: Key Responsibilities: Evaluating IT infrastructure in terms of risk to the organization and defining artifacts required to meet Federal, DoD and DAF requirements Assessing IT systems and architecture to ensure compliance with the Risk Management Framework (RMF), NIST Cybersecurity Framework (CSF), NIST 800-53 revision 5 and applicable guidance Supporting the system/application assessment and authorization (A&A) effort, to include assessing and guiding the quality and completeness of A&A activities, tasks and resulting artifacts mandated by governing DoD and AF policies, and applicable mandates Collecting, reviewing and verifying documented business processes within process narratives or flowcharts, identifying risks and validating proficiency of mitigating controls Reviewing risk and control matrices and testing plans for key controls and determines effectiveness Identifying control gaps, reviewing and testing the design of existing controls. Formulating clear and concise conclusions on internal controls and business process efficiency Recommending policies and procedures to ensure information systems reliability and accessibility and to prevent and defend against unauthorized access to systems, networks, and data Conducting risk and vulnerability assessments of installed information systems to identify vulnerabilities, risks, and protection needs Reviewing Plans of Actions & Milestones (POA&Ms) Providing recommendations and reports to the Security Control Assessor (SCA), Authorizing Official (AO), Chief Information Security Officer (CISO) Reviewing network and systems design to ensure accuracy Ensuring the rigorous application of information security/cybersecurity policies, principles, and practices in the delivery of all IT services Required Qualifications: 15+ years of relevant Cyber experience 15+ years prior experience as a Security Control Assessor/Representative RMF Engineer, ISSO, ISSM and/or information assurance engineer Cloud Platform experience with at least one service offering from AWS, Azure, or Google GCP Hands-on eMASS and/or Xacta experience completing full system lifecycle activities Experience with Air Force risk management policies/procedures, to include, DODI 8510.01, AFI 17-101 Experience with Cloud Computing Security Requirements Guide (CC SRG) Knowledgeable with DoD DevSecOps Fundamentals Playbook Experience evaluating information security compliance against STIGs Ability to clearly articulate ideas Strong technical writing abilities to author reports for AO and CISO dissemination Exudes confidence in providing briefings, presentations, and in conducting/guiding meetings with senior leadership and stakeholders Ability to use prior experience and knowledge to address new situations Certification requirements (at least one of the following): SecurityX / CASP+, CCISO, CGRC/CAP, CISA, CISM, CISSO, CISSP, CISSP-ISSEP, Cloud+, CySA+, FITSP-A, GCSA, GSEC, GSLC, GSNA, PenTest+, Security+ B.A. or B.S. Information Security, Computer Science or related discipline US Citizenship and currently possess a Top Secret security clearance Desired Qualifications: Experience with Fast Track ATO Handbook & AF Continuous ATO Playbook Familiarity with CI/CD Pipelines DevSecOps experience Sharepoint, JIRA, Confluence familiarity The salary range for this position is $140,000.00 - $145,000.00 commensurate on experience and technical skillset. We are open to considering a variety of levels of experience for these projects and potential for 1099 hourly opportunity. We are proud to be an EEO/AA Employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

Job Description Job Description Essential Responsibilities Define enterprise-wide platform strategy, vision, and target-state architectures for platforms such as Microsoft Fabric, Foundry/OpenAI, Databricks, and Synapse. Own the end-to-end lifecycle of cloud platforms. Establish standards and guardrails across all platform engineering domains. Drive innovation in cloud, data, and AI platforms (Fabric, OpenAI/Foundry, etc.). Lead large-scale transformation initiatives (e.g., platform modernization, DC exit, AI adoption). Act as the highest-level escalation point for technical decisions and complex issues. Influence enterprise architecture boards, governance, and regulatory alignment. Drive cost optimization strategies and large-scale efficiency improvements. Foster platform product mindset across the organization (self-service, reuse, enablement). Mentor senior and lead engineers; shape engineering culture and technical direction. Partner with executives and business leaders to translate strategy into platform capabilities. Education & Years of Experience Minimum - 4 Year Bachelors Degree in Computer Science, Engineering or related Minimum - 10 Years of Platform engineering, cloud infrastructure, SRE roles or related In Lieu of Education 12 Years of Supporting enterprise-level environments in platform engineering, cloud infrastructure or SRE roles or related License/Certifications/Training Preferred - Azure DevOps Engineer Expert (or equivalent DevOps focused certification) Preferred - Fabric Analytics Engineer Associate (or equivalent data platform focused certification) Preferred - Azure AI Engineer Associate (or equivalent AI focused certification) Preferred - HashiCorp Certified: Terraform Professional (or equivalent IaC focused certification) Preferred - Azure Solutions Architect Expert (or equivalent Cloud focused certification) Compensation & Benefits: Typical hiring range: $119,400.00 to $204,600.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge. Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including: Annual performance bonus Work from home up to 3 days a week Paid parental leave Employee discount programs Time off including paid personal and sick days 11 paid holidays Education reimbursement Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives. The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.