27 jobs found

Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . 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 . 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 Location: Schriever Space Force Base, Colorado Springs, CO Clearance Required: Active DoW Secret Security Clearance Travel Required: Up to 10% of the time LaunchTech is a veteran-owned company that prides itself on delivering service before self and excellence in all we do. We are seeking dynamic professionals who embody our core values of Integrity, Commitment, and Excellence to join our growing Crew in support of our customers across the federal, state, and commercial markets. We are seeking a GNOSC Watch Officer/Network Engineer to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract. What You'll Be Doing Be responsible for all facets of a continuous 24/7 Global Network Operations and Security Center. Execute network, system, and cloud systems monitoring/surveillance, environmental monitoring, incident management and MDA Cybersecurity. Support and service maintenance activities to include Change Management coordination during the assigned quarterly rotating shift day/night shifts. Be responsible for all aspects of IT incident management and escalation, ensuring that incidents are effectively escalated, managed and resolved with full communication of status, plans, and actions provided to executive management and the Government customer. The successful candidate will: Have excellent communication skills, verbal and written, at both technical and senior/Executive management levels. Understand Command level Management. Be able to speak clearly to diverse cultural audiences, VIPs, and dignitaries. Be able to perform as a section trainer and create lesson plans. Be able to operate within a stressful high speed Operational environment and be able to multi-task. What You Bring Basic Requirements: Must have 1, or more, years of IT experience Must have a current DoD 8570.01 IAT Level II Certification such as CompTIA Security+ CE Certification or higher. Must have an active DoW Secret Security Clearance Desired Requirements: Have experience in metrics-based IT Operations and Maintenance (O&M) teams. Have experience with Remedy and SNMP monitoring tools (e.g., SolarWinds and StruxureWare Datacenter Expert). Have education or experience with ITIL framework and ITIL-based processes, to include continual service improvement, change management, and problem investigation. Have previous work experience as a Windows/Linux System Administrator supporting a large Enterprise with knowledge of Microsoft Active Directory, Windows 2008/2012, Linux/UNIX Operating Systems, EMC Storage, Symantec NetBackup and SCCM Patch Management solutions. Have previous work experience as a network engineer, including hands-on experience designing, implementing and managing network components including switches, routers, firewalls, and cryptographic devices. Have experience with Cyber-defense or information assurance, including experience with DISA mandated security tools to include Assured Compliance Assessment Solution (ACAS), Host Based Security System (HBSS), analyze results and create reports Have knowledge of IT Network Operations and connectivity devices that inter-relate with Public Key Infrastructure authentication and Information Security practices. Have Network Operations experience in a network operations center or other 24x7x365 IT Operations environment. Have knowledge of Cybersecurity principles and how to execute system/network security analysis. Have a working knowledge of Tier III Information Assurance practices, IT security governance, security administration, project management, logistics, and Cybersecurity compliance requirements. Have Quality Assurance/Quality Control Inspection process knowledge. Why LaunchTech? LaunchTech is built on a single standard: Excellence, Period. This role places you at the operational heart of a 24/7 enterprise network operations center defending the nation's missile defense infrastructure around the clock. We offer: Medical, Dental, and Vision coverage 401(k) with company match Paid Time Off (PTO) Mission-driven work with opportunities to grow And more Ready to Join the LaunchTech Crew? LaunchTech is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, protected veteran status, color, sex, religion, sexual orientation, national origin, disability, genetic information, age, pregnancy, or any other status protected under federal, state, or local law. Visit to learn more about how we deliver Excellence, Period. Powered by JazzHR NYRvODyGdv

Job Description Job Description Benefits: HYBRID Competitive salary Opportunity for advancement Network Security Engineer Fort Collins, CO (Hybrid) Type: Contract (C2C) Interview Mode: Virtual Seeking a senior Network Security Engineer to lead firewall modernization, VPN transformation, zero-trust implementation, and enterprise vulnerability management across enterprise lab environments. This role supports secure, scalable, and compliant next-generation infrastructure platforms. Core Responsibilities : Firewall & Network Security Architecture Configure and optimize enterprise firewall platforms (physical and virtual) Design rule sets, traffic policies, and network segmentation Implement micro-segmentation and zero-trust architecture Align firewall policies with modern security frameworks VPN & Secure Access Transformation Replace legacy OpenVPN environments with OKTA/Atmos-based VPN solutions Build and manage Atmos connectors Implement secure authentication workflows Design secure routing and hybrid access policies Vulnerability Management Design and implement enterprise vulnerability scanning programs Deploy and manage tools such as Nessus or Greenbone Configure scan schedules and tune scan noise Deliver actionable security reports Drive remediation workflows with engineering teams Security Segmentation & Compliance Design security-driven network segmentation strategies Enforce access controls aligned to compliance and corporate standards Partner with corporate security teams on policy implementation Linux & Security Automation Deploy Linux-based security tooling platforms Automate scanning, reporting, and remediation workflows Script security processes and integrations Required Skills: Enterprise firewall configuration and optimization VPN technologies and secure remote access solutions Zero-trust and micro-segmentation principles Vulnerability scanning tools (Nessus, Greenbone, or similar) Security compliance scanning and remediation Linux system administration and automation Nice to Have: OKTA integrations and identity-based access systems SIEM and security monitoring platforms Automation frameworks and API integrations Flexible work from home options available.

Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization

Job Description Job Description Zoox's Network Security team architects and defends the digital borders of the company - from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams Qualifications 6+ years of network security engineering experience securing enterprise, cloud, and OT/lab environments Platform Expertise: Deep, hands-on expertise in next-gen firewalls (Palo Alto, Fortinet), AWS NFW, WAFs, IDS/IPS, NAC/802.1X, PKI, VPN, and ZTNA solutions (Zscaler, Netskope, Prisma Access, or equivalent) Technical Knowledge: Strong understanding of core network protocols (TCP/IP, BGP, OSPF, VLAN, 802.1X, TLS/PKI) and cloud networking security principles (AWS, GCP, or Azure) Automation: Hands-on experience with IaC and automation tooling including Terraform, Python, CI/CD pipelines, and REST APIs Security Operations: Experience with network security monitoring, threat detection, and security operations tooling (SIEM, IDS/IPS, vulnerability management platforms), including integration with network controls Compliance: Proven experience supporting major compliance initiatives (NIST 800-53, CSF 2.0, ISO 27001), including control implementation and evidence collection Bonus Qualifications Experience in autonomous vehicle, robotics, IT/OT or automotive environments Certifications: PCNSE, AWS Security Specialty, CCNA Experience experimenting with or deploying AI/ML-based security capabilities (e.g., anomaly detection, behavioral analytics, LLM-driven copilots) in network or cloud security workflows There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Ricondo is seeking a Simulation Consultant to join our team of talented aviation consultants in our Denver office. Ricondo team members are passionate about working alongside airport management to solve the complex issues facing the aviation industry today. They provide strategic planning services at airports around the world, including operational and physical planning, master planning, environmental reviews, and business advisory services. We are seeking a self-motivated individual with an intellectual curiosity for technical challenges, strategic and independent thinking, and a desire to work in a team environment across multiple disciplines. Joining our team of aviation consultants provides opportunities for individuals to assist in determining the future of the largest and fastest-growing airports around the world. As a Simulation Consultant, you will work collaboratively with our diverse team of aviation professionals located in offices across the country on airport planning projects. Core Responsibilities Coordinate with fellow employees and senior staff concerning the compilation, interpretation, and presentation of research data for airport planning studies. Learn and run operational simulation modeling software (on the job training will be provided). Collect and analyze data in support of airport planning studies. Prepare draft sections of reports and deliverables based on verbal and written input from others as well individual efforts. Assist in developing, formatting, publishing, and distributing tables, charts, manuals, and maps that deal with existing and proposed airport planning studies. Develop and maintain electronic datasets and file structures. Respond to requests for data and information from internal staff and external clients, organizations, various agencies, and the public. Requirements Bachelor's degree in a field that provides a strong foundation for aviation consulting, such as Engineering (with a focus on Transportation and/or Operations Research), Aviation Management (with a focus on Air Traffic Control and/or Airport Operations), Mathematics, or Statistics. Familiarity with analytical techniques and related tools including statistical and spreadsheet (Microsoft Excel) applications. Experience with computer programming languages (e.g., Visual Basic, C++, Python). 0-3 years of increasingly responsible experience in airport planning or related field. Possesses a familiarity with the aviation industry or a desire to learn and grow in the aviation industry. Excellent analytical skills. Excellent verbal, interpersonal, and written communications skills. High level of proficiency in Microsoft Office applications (Word, Excel, and PowerPoint). Willingness to travel to support Ricondo & Associates, Inc.'s, global project portfolio. Additional Preferred Technical Skills Master's degree in a field that provides a strong foundation for aviation consulting, such as Engineering (with a focus on Transportation and/or Operations Research), Aviation Management (with a focus on Air Traffic Control and/or Airport Operations), Mathematics, or Statistics. Extensive knowledge of best practices, methods, and principles utilized in strategic planning, infrastructure and facilities planning, and operational research for airports. Familiarity with airfield/airspace/aircraft operations at commercial service airports. Ability to apply advanced professional knowledge of the principles of management, business, marketing and administration in directing, supervising, and coordinating large and complex airport planning projects. Extensive knowledge of analytical techniques and related tools including statistical, spreadsheet (Microsoft Excel), database (Microsoft Access), and simulation (AirTOp, CAST, SIMMOD, TAAM, etc.) applications. Advanced experience applying computer programming languages (e.g., Visual Basic, C++, Python). Ability to establish and maintain effective working relations with senior executives and staff at client organizations. Competitive Benefits Package Employee Stock Ownership Plan (ESOP) 401(k) retirement savings plan with employer match, depending on company performance medical, dental, and vision insurance provided at no premium cost to the employee (including dependents) generous paid time-off program for sick leave and vacation time company-paid holidays tuition reimbursement program professional certification, licensure, and association membership funding professional conferences and seminars internal workshops and webinars short- and long-term disability insurance coverage life insurance (survivor benefits) team member referral bonus program flexible spending accounts (medical and dependent care) transit commuter benefit (based upon location) The base pay range for this role is $62,000 - $88,000. The base salary range/hourly rate established for a job offer is dependent on job-related, non-discriminatory factors, such as experience, education, and skills. Our Team Ricondo has served the aviation industry for over 35 years. Our team of nearly 160 consultants represents the brightest and most well-respected professionals in aviation today, working together to meet our clients' needs with ideas, expertise, and transformative solutions. Advance your career with our talented team and help shape the built airport environment. We strive to be a responsible business-one that adheres to high legal, moral, and ethical professional standards. Our pride is in our people, as evidenced by our extremely competitive benefits. We are committed to equality, diversity, cross-disciplinary training, and staff development. We emphasize quality and accountability in a respectful, collaborative, and congenial environment. Ricondo is an equal-opportunity employer. Powered by JazzHR fIUU3fXEwT

Job Description Job Description We are seeking a Senior Network Security Engineer for an operations-first role supporting enterprise network security infrastructure across on-premises, remote-access, hybrid-cloud, and cloud-connected environments. This is not primarily an architecture/design role. The priority is a hands-on engineer who can administer, configure, maintain, troubleshoot, patch, upgrade, back up, validate, document, and operate production security platforms with minimal ramp-up. Firewall operations: hands-on Cisco and Palo Alto firewall administration, rule changes, NAT, troubleshooting, policy cleanup, upgrades, backups, logging, and production support. VPN / remote access: support for remote-access VPN, site-to-site VPN, user connectivity issues, certificates, authentication flows, and after-hours troubleshooting. RSA / MFA administration: RSA SecurID or equivalent MFA operations, token support, server administration, user troubleshooting, VPN integration, certificates, patching, backups, logs, and monitoring. Day-to-day operations: ticket resolution, monitoring alerts, health checks, change requests, incident support, maintenance windows, operational reporting, and customer support. Configuration and administration: installing, configuring, maintaining, patching, upgrading, backing up, validating, and troubleshooting assigned security platforms. Production troubleshooting: strong TCP/IP, DNS, routing, firewall logs, packet captures, VPN authentication, certificate, and connectivity troubleshooting. Documentation and process discipline: SOPs, runbooks, diagrams, change records, rollback plans, evidence collection, knowledge transfer, and formal change management. Federal/customer environment maturity: Public Trust eligibility, regulated-environment documentation, customer support, cross-team coordination, and comfort working with government stakeholders. The best candidate can credibly say: "I have operated enterprise Cisco and Palo Alto firewalls in production, handled firewall rule changes and troubleshooting, supported VPN users and site-to-site tunnels, administered or supported RSA/MFA tied to VPN access, followed formal change-management processes, maintained documentation and backups, and can step into daily operational support with minimal ramp-up." Scope and Role Boundaries Primary platforms include Cisco ASA/Firepower/FTD/FMC, Palo Alto NGFW/Panorama/GlobalProtect, remote-access and site-to-site VPN, RSA SecurID Authentication Manager or comparable MFA, monitoring/logging/SIEM integrations, and related network security controls. Coordinate with SOC/NOC, cloud, identity/directory, wireless/LAN, server, endpoint, system owner, application, governance, and vendor teams during changes, incidents, troubleshooting, compliance, and audit support. Cloudflare, Cisco ISE/NAC, secure web/email gateways, packet visibility tools, SD-WAN/SASE/ZTNA, AWS/Azure security, and F5/application-delivery awareness are useful where they intersect with assigned operational support, but the core need is firewall, VPN, RSA/MFA, and production operations. Key Responsibilities Provide daily, weekly, monthly, and annual operational support for assigned security systems, including tickets, alerts, health checks, email/phone support, metrics, status reporting, and operational validation. Administer and troubleshoot enterprise firewalls, including rule bases, NAT, segmentation, high availability, threat prevention, VPN integration, logging, secure baselines, rule reviews, recertification, cleanup, and decommissioning. Install, configure, maintain, patch, upgrade, back up, and validate firewall, VPN, MFA, and related network security systems in production environments. Support remote-access VPN, site-to-site VPN, partner connectivity, cloud connectivity, mobile/remote users, certificates, authentication policies, availability, utilization, and user access issues. Maintain and troubleshoot RSA SecurID Authentication Manager or equivalent MFA services, including servers/appliances, agents, certificates, HA, backups, logs, monitoring, directory integration, VPN authentication, and token lifecycle support. Respond to incidents, vulnerability notices, urgent requests, vendor advisories, PSIRT notices, system alerts, and emergency troubleshooting while minimizing service disruption. Use firewall logs, VPN logs, packet captures, SIEM data, monitoring tools, DNS/routing checks, and standard diagnostics to resolve complex connectivity, authentication, TLS/certificate, and application-flow issues. Create and maintain topology diagrams, equipment inventories, configurations, SOPs, runbooks, implementation plans, rollback plans, build/upgrade procedures, troubleshooting notes, and knowledge articles. Follow approved change, release, incident, problem, and configuration-management processes; prepare change records, peer-review materials, validation evidence, root-cause analysis, metrics, and audit artifacts. Support vulnerability remediation, POA&M tracking, continuous monitoring, compliance reviews, audit evidence collection, and coordination with ISSO, system owner, and security governance teams. Requirements 7+ years of experience in network security engineering, network infrastructure, cybersecurity infrastructure, or a closely related role. 5+ years of hands-on experience administering, maintaining, and troubleshooting enterprise firewall platforms in production environments. Hands-on experience with Cisco security technologies such as Cisco ASA, Firepower, FTD, FMC, AnyConnect/Secure Client, or equivalent Cisco firewall/VPN platforms. Hands-on experience with Palo Alto Networks technologies such as NGFW, Panorama, GlobalProtect, security profiles, App-ID/User-ID, logging, and policy optimization. Experience administering or supporting RSA SecurID Authentication Manager or comparable enterprise MFA/two-factor authentication platforms, including token support, server operations, patching/upgrades, backups, certificates, monitoring, and directory/VPN integration. Strong knowledge of firewall policy, NAT, VPNs, routing, DNS, DHCP, BGP, TLS/certificates, packet captures, log analysis, segmentation, high availability, and common network diagnostic tools. Experience with enterprise monitoring, logging, SIEM, alerting, vulnerability management, incident response, formal change management, and regulated-environment documentation. Ability to create clear technical documentation, support customers and stakeholders, prioritize operational work, communicate clearly, and coordinate across technical teams. Ability to obtain and maintain a Public Trust background investigation. Desired Certifications Relevant certifications are helpful but should not replace demonstrated hands-on experience. Examples include CCNP Security, CCIE Security, PCNSE, PCCSE, CISSP, CCSP, AWS Certified Security - Specialty, AWS Advanced Networking - Specialty, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure Network Engineer Associate, CompTIA Security+, CompTIA CySA+, GIAC certifications, or equivalent vendor/cloud certifications. Core Competencies Enterprise firewall engineering and policy lifecycle management VPN, remote access, RSA/MFA, and token lifecycle operations Cloudflare, edge security, secure access, and Zero Trust support Content filtering, secure web/email gateway, and NAC operations Hybrid-cloud network security and secure connectivity Monitoring, logging, SIEM integration, and incident response support Security visibility, packet analysis, and advanced troubleshooting Vulnerability remediation, compliance evidence, and POA&M support Change management, documentation, reporting, and operational metrics Technical leadership, customer support, and cross-team collaboration Benefits 401(k) 401(k) matching Dental insurance Flexible schedule Flexible spending account Health insurance Health savings account Life insurance Paid time off Professional development assistance Referral program Retirement plan Tuition reimbursement Vision insurance

Job Description Job Description Overview We're looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect-someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase. What You'll Do Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems Lead the design of multi-agent and tool-calling systems that operate reliably in production Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs Define best practices for evaluation, monitoring, and governance of AI systems in production Mentor senior engineers through design reviews, code reviews, and system-level debugging Translate ambiguous business and domain problems into clear technical strategies Stay ahead of emerging AI techniques and integrate what matters-without chasing hype Core Skills & Experience 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures Proven ability to design and ship large-scale AI systems that run reliably in real-world environments Strong architectural judgment across data systems, AI models, infrastructure, and application layers Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups Excellent communication skills-able to explain technical tradeoffs to both technical and non-technical audiences Track record of shipping systems end-to-end, not just prototypes or research work Builder Mentality (This Is Core to the Role) We are explicitly looking for builders. By " builder, " we mean an operating mode, not a title. Builders: Bias toward systems that solve user needs, not perfect abstractions Move comfortably from ambiguity first draft iteration production Optimize for learning velocity and customer impact, not theoretical completeness Are willing to build the entire arc of a system to surface real constraints early Treat quality as something you earn through iteration, not something you gate progress with Understand that the last 10-20% of a system-integration, edge cases, UX, usability, reliability-is where real work happens At the Principal level, being a builder also means: Helping the organization stay in builder mode as it grows Collapsing unnecessary complexity rather than introducing more process Knowing when architectural rigor matters, and when it is premature Pulling promising work across the finish line instead of waiting for "perfect readiness" Modeling speed, ownership, and clarity for other senior engineers Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you. Preferred Experience (Domain-Flexible Specialties) Knowledge graph architecture, ontology design, or semantic modeling in complex domains Graph databases, graph query languages, or graph ML techniques Hybrid systems combining structured reasoning with LLM-based approaches Entity resolution, schema alignment, or knowledge fusion at scale AI systems requiring explainability, auditability, or lineage tracking Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government) MLOps, evaluation infrastructure, or long-running AI services operating at scale What You'll Love Owning the technical direction of real AI systems that make it into production Solving hard, ambiguous problems where architecture and execution matter equally Leading through hands-on building, not layers of process Working in an environment that values shipping, learning, and iteration over perfection Having the latitude to shape both systems and how teams build them About Us We are an AI-first company, and we mean that literally. AI is not a feature we bolt on. It's not a marketing layer. It's not a roadmap experiment. It is the foundation of how we design, build, and operate. We are building systems where machines do what machines do best: pattern recognition, synthesis, analysis at scale. As well as what humans do what humans do best: judgment, context, trust, and accountability. That means rethinking workflows from the ground up. Not "how do we add AI to this process?" but "how should this process exist in a machine-augmented world?" We care deeply about shipping real systems that work in production. In regulated environments. With real customers. At scale. If you're excited to help invent the next way software is built and deployed, and to do it alongside a team of deeply pragmatic, AI-obsessed builders, we'd love to talk. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1853 Job Title: Network Security Engineer Location: Suitland, MD Clearance Level: Public Trust Job Description Agile Defense is seeking a Senior Network Security Engineer to support the agency as it moves away from its legacy ForeScout CounterACT NAC/NAM system and adopts Cisco Identity Services Engine (ISE) as the new access control platform. The engineer will help configure and manage Cisco ISE across the environment, handling AAA services, wired and wireless 802.1X authentication, device administration, and posture checks for users and devices. This role also supports the agency's modernization work by improving authentication processes, updating ISE policies, and strengthening identity-based access controls. The engineer will troubleshoot access issues, refine policy designs, and help ensure users and devices can connect securely and reliably as the organization completes its transition from ForeScout to Cisco ISE. Troubleshoot and resolve Cisco ISE issues across RADIUS, TACACS+, 802.1X, device administration, and endpoint authentication. Deploy, configure, and maintain Cisco ISE running on two clustered Cisco SNS 3715 appliances, ensuring high availability and consistent policy enforcement. Support the agency's migration from ForeScout CounterACT to Cisco ISE, including reviewing legacy ForeScout policies, device groups, and access rules and mapping them into ISE policy sets. Provide general wireless support, including basic troubleshooting, wireless access workflows, and coordination with wireless infrastructure teams. Configure and support Cisco ISE integrations with Cisco 9800 WLCs, including guest/registration portals, wireless onboarding, and policy driven access control. Integrate and maintain Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based authorization, and directory based authentication workflows. Deploy, configure, and maintain Cisco ISE components, including: o Policy Sets, Authorization Profiles, and Authentication Rules o TACACS+ device administration o 802.1X for wired and wireless networks o Profiling, posture, and compliance policies o Certificate based authentication and PKI integrations Monitor security events using ISE logs, syslog, and performing root cause analysis for authentication and access issues. Manage identity integrations, enforce security policies, and tune configurations to support Zero Trust and improve user experience. Perform routine health checks, upgrades, migrations, and document changes through SOPs, engineering designs, and implementation procedures. Work closely with engineering, operations, and compliance teams while mentoring junior staff and contributing to knowledge sharing efforts. Education and Background Bachelor's degree in Information Technology, Cybersecurity, or a related field. Years of Experience Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE. Four (4) years of experience supporting identity centric or Zero Trust architectures with strong knowledge of segmentation, certificate management, and endpoint posture controls. Required Skills Senior Network Security Engineer responsible for designing, configuring, monitoring, and troubleshooting Cisco ISE as a NAC/NAM platform, including TACACS+/RADIUS services, device administration policies, and wired/wireless 802.1X authentication. Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE with expertise in: o Authentication and authorization policies (RADIUS/TACACS+) o 802.1X/EAP methods for wireless and wired access o Device profiling, posture checks, and endpoint compliance o Certificate based authentication (EAP TLS) and PKI integration o AAA integrations for switches, appliances, firewalls, and wireless controllers Experience working with Cisco ISE deployed on Cisco SNS 3715 appliances, preferably in a two node clustered, high availability setup. Understanding of ForeScout CounterACT, including legacy NAC/NAM policies, device classification, and access workflows, to support the migration to Cisco ISE Experience providing general wireless network support, including basic troubleshooting, controller interactions, and wireless access workflows. Hands on experience integrating Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based policy decisions, and directory based authentication. Experience supporting Cisco ISE integrations with Cisco 9800 Wireless LAN Controllers, including guest/registration page redirection and wireless onboarding. Experience migrating legacy NAC, RADIUS, or device authentication systems into Cisco ISE while aligning with Zero Trust principles. Solid understanding of telecommunications, network security, and Zero Trust best practices. Strong communication skills with the ability to explain Cisco ISE, NAC/NAM, and AAA concepts to both technical and non technical audiences. Preferred Skills Preferred certifications: Cisco CCNP Security, Cisco ISE Specialist, or similar identity/security certifications. Working Conditions On-site 5 days a week in Suitland, Maryland In addition, Agile Defense invests in its employees beyond just compensation. Agile's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Learning and Development opportunities as well as other optional benefit elections. Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description ABOUT FTAI AVIATION LTD. (NASDAQ: FTAI) FTAI owns and maintains commercial jet engines with a focus on the Maintenance, Repair and Exchange (MRE) of CFM56 and V2500 engines. FTAI's propriety portfolio of products, including The Module Factory and a joint venture to distribute engine PMA helps make CFM56 and V2500 engine maintenance simpler, more cost-effective, significantly faster, and more environmentally friendly. Additionally, FTAI owns and leases jet aircraft which often facilitates the acquisition of engines at attractive prices. FTAI invests in aviation assets and aerospace products that generate strong and stable cash flows with the potential for earnings growth and asset appreciation. FTAI operates globally and has offices in New York, Miami, Montreal, California, Singapore, Dubai, United Kingdom and Ireland. JOB OVERVIEW We are seeking a Principal Security Engineer to lead the security program for a public, multi-site organization in a regulated environment. This is a hands-on individual-contributor role that both implements technical controls and drives the policies behind them. Partnering with the MSP, vCISO, IT, and Legal, you will set technical direction and execute it-tuning controls, maturing policy, and aligning the program to recognized frameworks and regulatory requirements Responsibilities: Drive the technical cybersecurity strategy and roadmap; report security posture and material risk to senior leadership Design, configure, and maintain hands-on controls across network, endpoint, identity, and cloud (firewall rules, segmentation, VPNs, IDS/IPS, EDR, MFA) Develop and maintain security policies aligned to NIST CSF, ISO 27001, and CIS and to regulatory requirements, ensuring controls actually enforce them Manage and tune the security stack (SIEM, EDR, email security); build detection rules, alerts, and dashboards Lead incident response end to end and drive risk-based vulnerability and patch management to closure across infrastructure, endpoints, and cloud Own the controls framework and third-party/vendor risk program, coordinating with internal audit/GRC and the legal team Collaborate with MSP and vCISO (managing scope, SLAs, escalation) while keeping core decisions in-house Harden identity infrastructure (AD/Entra ID) and run the security awareness program across sites Qualifications: 7+ years across IT and cybersecurity, including a hands-on technical foundation and 3+ years driving a security program as a senior individual contributor Proven ability to both implement technical controls and author the policies and governance behind them Experience securing a public and/or regulated, multi-site environment (e.g., SOX, FINRA, FAA), including audit and control ownership Command of NIST CSF, ISO 27001, CIS, and SOX/ITGC, with experience owning control evidence through external audits Strong cloud (Azure and/or AWS) and enterprise network security-firewalls, VPNs, segmentation, and IDS/IPS Hands-on with SIEM (e.g., Microsoft Sentinel) and endpoint protection (e.g., SentinelOne), plus scripting (PowerShell and/or Python) and identity hardening (AD/Entra ID)

Job Description Job Description Benefits: Competitive salary 6-Month Contract-to-Hire (CTH) Experience Level Senior Level (5 or more years of experience) Role Overview The Network Security Engineer serves as a technical Subject Matter Expert (SME) responsible for designing, deploying, administering, and optimizing enterprise network security infrastructure. This role focuses on architecting and managing Palo Alto Networks Next-Generation Firewalls (NGFWs), Cisco Firepower/ASA firewalls, Cisco ISE (Identity Services Engine), VPN infrastructure, and SD-WAN security to protect network perimeters and secure multi-site data flows across a regulated financial institution. Key Responsibilities Firewall Engineering & Perimeter Defense • Design, deploy, and manage Palo Alto Networks Next-Generation Firewalls (NGFWs) using Panorama, configuring NAT, App-ID, User-ID, Threat Prevention, URL Filtering, and WildFire. • Administer and maintain Cisco ASA and Firepower (FTD/FMC) firewalls, managing access control policies, IPS tuning, and platform lifecycle upgrades. • Lead investigations and incident responses for network-layer security alerts, policy violations, and anomalies. Network Access Control & Secure Connectivity • Administer Cisco Identity Services Engine (ISE) for Network Access Control (NAC), 802.1X authentication, RADIUS/TACACS+, device profiling, and guest access. • Manage and maintain VPN infrastructure (Cisco AnyConnect / Secure Access and site-to-site IPSec tunnels), supporting certificate-based authentication and split-tunnel configurations. • Configure and secure Cisco Catalyst SD-WAN environments, enforcing application-aware policies, traffic segmentation, and encrypted transport. • Administer Cisco Umbrella / Secure Access DNS-layer security, category-based controls, and web filtering policies. Architecture, Compliance, & Change Management • Collaborate with Cloud, Infrastructure, and Information Security teams to implement network segmentation, zero-trust controls, and security standards aligned with PCI-DSS, SOX, and NIST frameworks. • Author, review, and execute ITIL-aligned change management requests, presenting to Change Advisory Boards (CAB) and conducting post-implementation reviews. • Maintain comprehensive technical documentation, including firewall rulesets, network security architecture diagrams, runbooks, and standard operating procedures (SOPs). Required Qualifications • 5 or more years of hands-on experience in network security engineering, enterprise firewall administration, and perimeter security (CCNP Security-level expertise). • 3 or more years of hands-on experience designing, deploying, and managing Palo Alto Networks NGFWs and Panorama. • Solid hands-on experience administering Cisco ASA and Firepower (FTD/FMC) firewall environments, access control policies, and platform upgrades. • Strong working knowledge of Cisco ISE for NAC, 802.1X, RADIUS/TACACS+, and device profiling. • Experience configuring and troubleshooting enterprise VPN solutions (Cisco AnyConnect, Secure Access, IPSec site-to-site tunnels). • Solid understanding of core networking protocols, routing, and security concepts (TCP/IP, BGP, EIGRP, ACLs, NAT, SSL/TLS inspection, network micro-segmentation). • Experience working within an ITIL-based change management framework. • Must be legally authorized to work in the United States without current or future visa sponsorship. Preferred Qualifications • Industry certifications such as Palo Alto Networks Certified Network Security Engineer (PCNSE), Cisco Certified Network Professional Security (CCNP Security), or CCIE Security. • Familiarity with financial regulatory frameworks and compliance standards (e.g., FFIEC, PCI-DSS, SOX, NIST CSF). • Experience with Microsoft Azure networking and cloud security (Azure Firewall, NSGs, Virtual WAN, ExpressRoute). • Experience utilizing automation scripts (e.g., Python, Ansible) for firewall configuration and policy management. Core Skills & Attributes • Exceptional analytical, problem-solving, and root-cause diagnostic abilities for complex network security issues. • High accountability and attention to detail when executing production changes and maintaining documentation. • Excellent interpersonal and communication skills to collaborate with cross-functional IT teams, security leaders, and external auditors. • Self-driven approach to continuous learning and staying current with evolving cybersecurity threats. Flexible work from home options available.

Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 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 Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Job Description Job Description Description: Location: Tri-Cities, WA Travel: Up to 20% Reports To: Corporate VP of IS The IS Specialist III serves as the primary on-site technology leader supporting a multi-site operation of 50-200 users. This role ensures stable, secure, and efficient IT operations while coordinating closely with the Corporate IS team for advanced engineering, development, cybersecurity, and infrastructure initiatives. This is a senior-level technical generalist role combining Windows infrastructure support, business systems reporting, project coordination, industrial systems integration, and local technical leadership. The position is hands-on and part of the broader corporate IS team, which includes senior infrastructure engineers, developers, helpdesk, and junior development resources. Duties Infrastructure & Systems Operations (Primary Focus) Serve as the local lead for Windows-based infrastructure (Windows 10/11, Microsoft 365, Active Directory, core software platforms, hardware systems, and web services). Coordinate with the corporate infrastructure team on network support, backup and disaster recovery, endpoint management, and server lifecycle planning. Escalate complex issues appropriately while maintaining local ownership and accountability. Maintain documentation of systems, diagrams, configurations, and asset inventories. Assist with user provisioning, workstation deployments, and site-level hardware standards. Project Coordination & Implementation Lead site-level technology projects from requirements gathering through deployment. Coordinate with corporate developers and infrastructure engineers on larger initiatives. Manage timelines, vendor engagement, testing, and deployment activities. Evaluate new software and hardware solutions and provide structured recommendations. Assist with task estimation, prioritization, ROI evaluation, and project documentation. Hardware Integration & Operational Support Support integration of industrial or facility systems with enterprise IT infrastructure. Coordinate system integration between hardware platforms and internal software applications. Maintain appropriate segmentation between operational and corporate systems. Security & Compliance Support Ensure local systems adhere to corporate cybersecurity policies. Support NIST 800-171 and Sarbanes-Oxley-aligned controls in coordination with Corporate IS. Assist with audits through documentation, evidence gathering, and change control support. Promote secure configuration standards and end-user security best practices. Business Systems Lead & Reporting Participate in the SDLC for waste tracking, procurement, accounting, asset management, and ancillary information systems initiatives. Develop and maintain SQL queries and SQL Server reports (SQL, SSRS, RDL). Partner with operations to develop business requirements, validate system designs, update system documentation, and oversee implementation. Assist with data validation, testing, and minor integrations. Requirements: 10+ years of progressive IT experience in systems administration, infrastructure, or business systems roles; OR a four-year related degree with 5+ years of relevant experience. Strong Microsoft ecosystem experience (Windows Server/Client, Active Directory). Solid SQL experience (query writing, stored procedures, SSRS development). Experience supporting multi-site or distributed operations. Ability to manage technical priorities independently in an operational environment. Strong written and verbal communication skills across technical and non-technical stakeholders. Prefered Experience Experience in regulated or industrial environments. Experience with .NET, Go, JavaScript, C#, or other development environments. Familiarity with waste tracking, ERP, or accounting systems. Working knowledge of network fundamentals (firewalls, VLANs, VPN). Experience coordinating technical projects. Understanding of API integrations and data exchange models. This role serves as a senior embedded technical leader and operational bridge between site operations and Corporate IS. It provides hands-on technical support, business systems insight, and practical project leadership while leveraging centralized corporate expertise for deep engineering and development functions.