{"data":{"company":{"name":"Shield AI","slug":"shield-ai","logo_url":"https://logos.yubhub.co/shield.ai.png","canonical_domain":"shield.ai","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Shield AI Number of Employees 2026 | Employee Count & Headcount Data - 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International","source_url":"https://jobs.lever.co/shieldai/cb1b575b-abfb-4903-887e-0f3b7a0ee23f","location":"London","job_type":"Full Time Employee","experience_level":"executive","work_arrangement":"onsite","category":"Sales","description":"<p>Shield AI is seeking a senior sales leader to lead and scale the International Aechelon sales organisation.</p>\n<p>This leader will be responsible for integrating Aechelon into Shield AI&#39;s broader go-to-market strategy, accelerating revenue growth, and building a unified, high-performing sales motion across simulation, visualisation, and autonomy solutions.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Lead and develop the Aechelon International sales team; establish a high-performance culture, clear accountability, and strong coaching discipline</li>\n<li>Drive post-acquisition integration of people, processes, systems, and GTM strategy into Shield AI</li>\n<li>Assess and upgrade talent, roles, and coverage to align with growth objectives</li>\n<li>Own the International GTM plan for Aechelon (segmentation, ICP, account strategy, pipeline generation, positioning)</li>\n<li>Identify and execute cross-sell and bundling opportunities across Aechelon, Hivemind, and broader Shield AI offerings</li>\n<li>Expand footprint across defence, government, and enterprise simulation/training markets</li>\n<li>Establish operating rigor (forecasting, deal reviews, MBRs/QBRs, dashboards, KPIs/OKRs)</li>\n<li>Improve pipeline quality, deal velocity, and forecast accuracy</li>\n<li>Standardise sales processes (qualification, CRM hygiene, deal stages, governance) across the integrated team</li>\n<li>Personally lead key pursuits and executive-level engagements in complex, multi-stakeholder deals</li>\n<li>Build deep relationships with defence agencies, primes, and enterprise customers</li>\n<li>Position Aechelon as a critical component of mission-ready simulation and operational environments</li>\n<li>Expand relationships with Large Systems Integrators (LSIs), primes, and strategic partners</li>\n<li>Enable partner-led growth in simulation, training, and visualisation programs</li>\n<li>Align partner strategy with Shield AI&#39;s broader autonomy and platform roadmap</li>\n<li>Partner with Product and Engineering to inform roadmap based on customer needs and market signals</li>\n<li>Align Marketing and Customer Engagement to drive demand generation and customer success</li>\n<li>Serve as a key voice in shaping Shield AI&#39;s integrated platform GTM strategy</li>\n</ul>\n<h3>Measures of Success (First 6–12 Months)</h3>\n<ul>\n<li>Successful integration of Aechelon sales team into Shield AI operating model, systems, and culture</li>\n<li>Improved forecast accuracy, pipeline hygiene, and operating cadence</li>\n<li>Increased win rates and deal velocity through standardised, repeatable sales motions</li>\n<li>Measurable growth in Aechelon standalone revenue and cross-sell revenue with Shield AI products</li>\n<li>Clear territory, coverage, and account strategy</li>\n<li>Strong leadership bench with defined structure enabling second-line scalability</li>\n</ul>","enriched_at":1789257780069},{"id":"job_fbe76561-87d","title":"Senior V-BAT Air Vehicle Operator, Field Integration and Test (R5130)","source_url":"https://jobs.lever.co/shieldai/353b31f2-f075-4503-806a-151a362ee7a2","location":"Dallas, Texas","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"onsite","category":"Operations","description":"<p>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.</p>\n<p>As a Senior V-BAT Air Vehicle Operator, Field Integration and Test (R5130), you will support V-BAT field integration activities and flight operations in CONUS and OCONUS environments. This role involves customer site surveys, system installations, calibration events, aircraft operational checks, training support, and operational handoff activities in coordination with Engineering and Customer Operations teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Field integration support: Supports site surveys, installations, calibrations, aircraft operational checks, and customer handoff activities while maintaining safe and effective V-BAT operations</li>\n<li>Operational leadership: Leads flight operations and field events with autonomy, sound judgment, and disciplined risk management</li>\n<li>Systems troubleshooting: Diagnoses and resolves issues across aircraft, payloads, ground systems, datalinks, LAN-based networks, MANET networks, RF communications, SATCOM, and support equipment in field conditions</li>\n<li>Cross-functional coordination: Works directly with FIT, Deployment Operations, Engineering, Maintenance, Training, Customer Operations, and customers to close issues and drive operational readiness</li>\n<li>Instructor and mentorship capability: Trains, evaluates, and develops operators while reinforcing standards, TTPs, checklist discipline, and safe operating practices</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Demonstrated instructor experience (manned or unmanned aviation)</li>\n<li>FAA Private Pilot License (PPL)</li>\n<li>FAA Part 107 Remote Pilot Certificate</li>\n<li>Ability to obtain and maintain an FAA Class II Medical Certificate</li>\n<li>Ability to obtain and maintain a Secret DoD security clearance</li>\n<li>Ability to pass background check, drug screening, and customer-required medical/dental screenings</li>\n<li>Willingness to travel on short notice 50 to 75 percent in support of CONUS and OCONUS site surveys, installs, calibrations, flight operations, customer events, and deployment support</li>\n<li>Ability to climb ship masts, vertical ladders, and rooftop access points; work in confined or tight areas; and lift and carry 50 pounds or more in land-based and maritime environments</li>\n<li>Proven ability to lead and operate independently in small teams, including austere, shipboard, expeditionary, and high-tempo environments</li>\n<li>Strong aviation judgment, decision-making, crew coordination, and risk management skills</li>\n<li>Ability to troubleshoot aircraft, payload, ground control, communications, network, and support equipment issues at the field level</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>FAA Instrument Rating and/or Commercial Pilot License</li>\n<li>Experience operating as aircrew on manned aircraft</li>\n<li>Experience with MANET, MPU5, RF communications, Starlink, Starshield, and SATCOM integration or setup</li>\n<li>Prior military service, especially with overseas, maritime, or deployed operations</li>\n<li>Maritime or shipboard UAS operational experience</li>\n<li>Previous experience as a Site Lead, Crew Lead, Instructor Operator, or aviation operations lead</li>\n<li>Experience supporting system installation, calibration, test events, or field acceptance activities</li>\n<li>Experience troubleshooting RF, C2, SATCOM, MANET, Starlink, Starshield, ISR payload, or ground control system issues</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Pay within range listed + Bonus + Benefits + Equity</li>\n</ul>","enriched_at":1789257760908},{"id":"job_55057c44-1be","title":"Staff Platform Engineer","source_url":"https://jobs.lever.co/shieldai/270ad491-2ae9-4df1-b986-9d4e1e943328","location":"San Diego, California","job_type":"Full Time Employee","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"<p>Shield AI is seeking a Staff Platform Engineer to help design and implement internal technology platforms that power engineering, autonomy, and enterprise operations environments.</p>\n<p>In this highly technical individual contributor role, you will serve as a senior technical expert responsible for designing and evolving scalable, secure, and highly automated platform infrastructure spanning cloud, on-premise, and hybrid environments.</p>\n<h3>Responsibilities</h3>\n<h4>Platform Architecture &amp; Engineering</h4>\n<ul>\n<li>Build and evolve scalable internal platform infrastructure supporting engineering workloads across public cloud, private cloud, and on-prem environments.</li>\n<li>Design and implement platform capabilities that enable standardized, secure, and repeatable application deployment of applications and services.</li>\n<li>Develop and maintain infrastructure-as-code frameworks and reusable platform modules to accelerate engineering productivity.</li>\n<li>Establish and evolve “paved path” platform patterns that simplify secure software delivery for engineering teams.</li>\n</ul>\n<h4>Automation &amp; Developer Enablement</h4>\n<ul>\n<li>Build automation and developer tooling that improves software delivery and engineering productivity.</li>\n<li>Contribute to and improve CI/CD pipelines, artifact management, and developer platform tooling.</li>\n<li>Collaborate with engineering teams to reduce operational friction and improve system observability, resilience, and reliability.</li>\n<li>Develop internal tools, platform integrations, and automation frameworks that streamline engineering workflows across the organization.</li>\n</ul>\n<h4>Infrastructure &amp; Systems Engineering</h4>\n<ul>\n<li>Design, implement, and operate highly available infrastructure platforms supporting mission-critical engineering systems.</li>\n<li>Implement scalable platform solutions across cloud and on-prem environments including compute, networking, identity, and storage.</li>\n<li>Partner with security teams to embed strong security controls, auditability, and compliance requirements into platform architectures.</li>\n<li>Evaluate and introduce new technologies that improve system scalability, security, and operational efficiency.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.</li>\n<li>8+ years of experience in platform engineering, DevOps, infrastructure engineering, or site reliability engineering roles supporting large-scale systems.</li>\n<li>Deep hands-on experience designing, building and operating cloud or hybrid infrastructure platforms, including networking, identity, compute, and storage systems.</li>\n<li>Strong expertise with Infrastructure as Code and automation frameworks (e.g., Terraform, Ansible, or similar).</li>\n<li>Experience building or improving CI/CD pipelines, developer platform tooling, and automated deployment workflows.</li>\n<li>Strong systems engineering background across Linux-based environments, distributed systems, and infrastructure automation using scripting or programming languages (Python, Go, Bash, PowerShell, etc.).</li>\n<li>Demonstrated ability to understand, build, and own complex platform initiatives and collaborate across engineering and infrastructure teams.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence technical direction across multiple engineering teams.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience building or operating internal developer platforms (IDP) or engineering productivity platforms that support large-scale development environments.</li>\n<li>Experience with Kubernetes and modern container platforms.</li>\n<li>Experience deploying infrastructure across commercial and government cloud environments, including AWS and Azure.</li>\n<li>Familiarity with DevSecOps practices and integrating security controls into automated infrastructure and CI/CD pipelines.</li>\n<li>Experience implementing observability platforms, including centralized logging, monitoring, and distributed tracing for large-scale systems.</li>\n<li>Experience working within defense, aerospace, or other regulated industries, including familiarity with frameworks such as NIST or FedRAMP.</li>\n</ul>","enriched_at":1789167893129},{"id":"job_b7f6d8d2-a86","title":"Principal Engineer, Fluid & Thermal Systems (R5620)","source_url":"https://jobs.lever.co/shieldai/1d559be1-9d5a-4d65-a008-97212c210c2b","location":"Seattle, Washington","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.</p>\n<p>As a Principal Fluid &amp; Thermal Systems Engineer at Shield AI, you will lead the design, development, and optimization of fluid and thermal systems for advanced autonomous UAVs and ground systems.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own design and analysis of fluid and thermal systems for aircraft and ground platforms.</li>\n<li>Develop and implement innovative thermal solutions.</li>\n<li>Use first-principles engineering to drive design decisions to yield optimal solutions.</li>\n<li>Research technologies for integration into complex solutions.</li>\n<li>Conduct advanced simulations to predict system performance and refine designs.</li>\n<li>Execute testing and validation efforts, including data acquisition, post-processing, and verification against requirements.</li>\n<li>Collaborate with cross-disciplinary teams to integrate fluid and thermal system designs into larger system architectures.</li>\n<li>Mentor and guide junior engineers, fostering technical growth and excellence within the team.</li>\n<li>Identify suppliers and build successful supplier management relationships for procurement of components or systems for fluid and thermal system designs.</li>\n</ul>\n<h3>Required qualifications</h3>\n<ul>\n<li>Minimum 15+ years of experience in Fluid or Thermal System design, with a proven track record of technical excellence.</li>\n<li>B.S. or advanced degree in Mechanical, Aerospace, or related Engineering discipline.</li>\n<li>Deep understanding of heat transfer, fluid dynamics, thermodynamics, and system-level thermal management.</li>\n<li>Experience implementing system models in commercial tools, such as MATLAB Simscape, Amesim, etc.</li>\n<li>Experience developing custom engineering models in Excel and in languages such as MATLAB, Python, etc.</li>\n<li>Experience in fluid and thermal system testing, including sensor integration, data acquisition, and analysis.</li>\n<li>Expertise in 3D CAD modeling tools such as Siemens NX or equivalent.</li>\n<li>Demonstrated ability to execute projects with minimal oversight, assume full ownership, and deliver exceptional outcomes.</li>\n<li>Excellence in supplier management, COTS component sourcing, optimization/trade studies.</li>\n<li>Proven success in dynamic, fast-paced environments.</li>\n<li>Ability to obtain a S//SAR level security clearance desired.</li>\n</ul>\n<h3>Preferred qualifications</h3>\n<ul>\n<li>Extensive experience with fluid &amp; thermal system design, analysis, manufacture and test for aircraft.</li>\n<li>Familiarity with fluid and thermal system effects on aircraft performance.</li>\n<li>Familiarity with startup or R&amp;D environments, demonstrating adaptability and agility under pressure.</li>\n<li>Strong knowledge of environmental standards and certification processes for aerospace or defense systems.</li>\n<li>A passion for innovation and the ability to push boundaries in fluid &amp; thermal system development.</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Pay within range listed + Bonus + Benefits + Equity</li>\n</ul>","enriched_at":1789167871216},{"id":"job_24fde8b7-a91","title":"Director, Mission Systems","source_url":"https://jobs.lever.co/shieldai/86435780-023c-4e55-9e82-86f97157aeac","location":"Washington, DC","job_type":"Full Time Employee","experience_level":"executive","work_arrangement":"onsite","category":"Engineering","description":"<p>Shield AI is seeking a Director of Mission Systems to lead multidisciplinary teams spanning operational analysis, aircraft survivability, communications, and integrated mission systems for our next-generation autonomous aircraft.</p>\n<p>This leader will establish the organisation&#39;s technical and business strategy, align investments and priorities with product and program objectives, and oversee execution from early concept development through integration, flight test, and fielding.</p>\n<p>The ideal candidate has led a multidisciplinary organisation supporting complex military aircraft or autonomous systems and brings strong business acumen alongside sound technical judgment.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Lead and develop a multidisciplinary organisation spanning operational analysis, survivability, communications, and integrated mission systems.</li>\n<li>Establish clear priorities, accountability, organisational objectives, and operating rhythms that enable teams to execute effectively.</li>\n<li>Define technical strategy, capability roadmaps, and investment priorities aligned with aircraft program objectives, customer requirements, and broader business goals.</li>\n<li>Oversee the development of integrated mission-system architectures encompassing sensors, payloads, avionics, weapons, secure communications, autonomy, and aircraft survivability.</li>\n<li>Direct modeling, simulation, wargaming, and system-of-systems analysis to evaluate mission effectiveness, operational performance, emerging threats, and aircraft design alternatives.</li>\n<li>Lead cross-functional trade studies that balance mission capability, survivability, technical risk, cost, schedule, manufacturability, and program maturity.</li>\n<li>Ensure disciplined execution from requirements definition and architecture development through hardware-in-the-loop testing, signature validation, flight test, certification, and fielding.</li>\n<li>Partner with engineering, product, program management, business development, and aircraft leadership to deliver integrated and mission-relevant capabilities.</li>\n<li>Engage DoD customers, operators, suppliers, and government stakeholders to shape requirements, refine concepts of operations, support key decisions, and communicate the operational value of Shield AI&#39;s solutions.</li>\n<li>Recruit, coach, and develop people managers and senior technical leaders while building organisational depth and succession capability.</li>\n<li>Ensure compliance with applicable system-safety, airworthiness, cybersecurity, security, and certification requirements.</li>\n</ul>\n<h3>Required Qualifications</h3>\n<ul>\n<li>Bachelor&#39;s degree in engineering, science, mathematics, or another relevant technical discipline.</li>\n<li>10+ years of experience supporting complex military aircraft, autonomous systems, or other aerospace and defense programs.</li>\n<li>Demonstrated experience leading and developing a multidisciplinary engineering organisation that includes people managers and senior technical leaders.</li>\n<li>Broad working knowledge across multiple relevant disciplines, including mission systems, operational analysis, modeling and simulation, survivability, secure communications, avionics, sensors, payloads, or weapons integration.</li>\n<li>Experience establishing organisational and technical strategies while managing technical, programmatic, and organisational risk.</li>\n<li>Proven ability to balance mission performance and engineering requirements with cost, schedule, product maturity, and business priorities.</li>\n<li>Experience overseeing complex aircraft capabilities across the product lifecycle,from requirements and architecture through integration, test, certification, fielding, and sustainment.</li>\n<li>Executive-level communication skills with demonstrated success influencing customers, operators, business leaders, engineering teams, and government stakeholders.</li>\n<li>U.S. citizenship with an active Secret security clearance and the ability to obtain and maintain a Top Secret clearance and required SAP/SAR accesses.</li>\n</ul>","enriched_at":1789167852293},{"id":"job_9247e8b5-0cb","title":"Senior Staff Engineer, Mission Architect (R5876)","source_url":"https://jobs.lever.co/shieldai/f7a74d2f-09c3-4f0a-88a8-bce7bcd97263","location":"Washington, DC","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Shield AI is seeking a Senior Staff Engineer, Mission Architect to own the mission representation of various programs, applying systems engineering, modeling, simulation, and operational analysis techniques.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Employ the Mission Engineering process to develop pertinent analyses and assess how current and emerging autonomous capabilities enable desired mission effects in representative military scenarios.</li>\n<li>Utilize systems engineering tools alongside modeling and simulation tools to develop mission models, architectures, analytical frameworks, requirements, and traceability artifacts.</li>\n<li>Develop Mission Engineering artifacts such as mission threads, concepts of operations (CONOPS), and mission architectures for new AI-driven autonomous capabilities.</li>\n<li>Work closely with engineering teams and product managers to translate mission needs and operational insights into system requirements, design decisions, and capability improvements.</li>\n<li>Define trade studies and sensitivity analyses to identify key mission drivers, capability gaps, system dependencies, and performance thresholds under varying operational conditions and threats.</li>\n<li>Collaborate with DoD stakeholders, operators, and warfighters to characterize missions, define measures of effectiveness and performance, establish the data, modeling, and analysis required to assess them, and align system capabilities with operational needs.</li>\n<li>Develop and present technical reports, mission architectures, trade studies, and recommendations to senior leadership, customers, and government agencies.</li>\n<li>Leverage modern compute and development best practices to build, run, and iterate mission models and analysis pipelines quickly and reliably.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>5+ years of experience in mission engineering, systems engineering, operational analysis, modeling &amp; simulation (M&amp;S) or a related discipline.</li>\n<li>Prior experience in mission-thread analysis, force-on-force analysis, capability-gap analysis, CONOPS development, or military campaign modeling.</li>\n<li>Proficiency with SysML or other systems engineering tools in conjunction with AFSIM, STK, MATLAB, or Python for aerospace and defense applications.</li>\n<li>Experience working with DoD stakeholders, warfighters, and government agencies to characterize mission needs and translate operational objectives into system capabilities, requirements, and engineering trades.</li>\n<li>Demonstrated ability to apply systems engineering, modern compute, data analysis, and software development best practices to build and maintain reliable models, simulations, and analytical workflows.</li>\n<li>Excellent communication and briefing skills, with experience presenting technical and operational analyses to senior leadership, customers, and military personnel.</li>\n<li>Ability to work in a fast-paced, agile development environment with shifting priorities.</li>\n<li>Active Secret or Top-Secret clearance (or ability to obtain one).</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience with model-based systems engineering (MBSE), digital engineering, and SysML 2.0.</li>\n<li>Familiarity with DoD Mission Engineering methodologies, systems-of-systems engineering, DoD acquisition processes and JCIDS.</li>\n<li>Experience integrating AI-driven decision-making algorithms or autonomous systems into mission engineering and operational analysis frameworks.</li>\n<li>Prior military service or experience working with U.S. Air Force, Navy, Marine Corps, Army, or Special Operations Forces.</li>\n</ul>","enriched_at":1789078172799},{"id":"job_27d2d97a-c46","title":"Senior Production Planner, Development Programs (R5277)","source_url":"https://jobs.lever.co/shieldai/6cd7aeaa-64e1-43a8-a405-f106247bc05e","location":"Seattle, Washington","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"onsite","category":"Operations","description":"<p>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.</p>\n<p>Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.</p>\n<p>You will serve as a Senior Production Planner for Development Programs to drive production planning and execution for developmental and prototype aircraft builds.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Develop and maintain detailed production schedules for prototype aircraft builds, major assemblies, and integration activities</li>\n<li>Translate engineering release plans, build priorities, and program milestones into executable manufacturing schedules</li>\n<li>Release and manage work orders in support of aircraft builds, including builds with incomplete engineering definition or evolving configurations or bills of material</li>\n<li>Coordinate schedule adjustments resulting from engineering changes, design revisions, and shifting program priorities</li>\n<li>Monitor production progress and proactively identify risks to key build, integration, and flight test milestones</li>\n<li>Coordinate temporary planning structures and workarounds to enable manufacturing progress while maintaining configuration control</li>\n<li>Facilitate rapid schedule recovery plans when design, material, or technical issues affect build progress</li>\n<li>Partner closely with Supply Chain to align material availability with build requirements and timelines</li>\n<li>Support ERP/MRP system accuracy through effective planning and work order management</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Bachelor’s degree in Supply Chain, Operations, Engineering, Business, or related field</li>\n<li>5+ years of experience in production planning, manufacturing planning, production control, or supply chain operations</li>\n<li>Experience supporting complex hardware, aerospace, defense, automotive, robotics, or other highly engineered products</li>\n<li>Experience working within ERP/MRP systems (SAP, Oracle, NetSuite, Costpoint, or similar)</li>\n<li>Strong understanding of manufacturing processes, work order management, bills of material, and production scheduling</li>\n<li>Demonstrated ability to manage multiple priorities in a fast-paced and highly dynamic environment</li>\n<li>Ability to obtain/maintain a security clearance</li>\n</ul>","enriched_at":1789078127212},{"id":"job_81cefeff-ac6","title":"Senior Platform Engineer (R5827)","source_url":"https://jobs.lever.co/shieldai/38e5f38c-8d3f-4210-8310-8688182dc182","location":"San Diego, California","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Shield AI is seeking a Senior Cloud Platform Engineer to design, build, and operate the shared technology platforms that support its engineering, autonomy development, and enterprise operations environments.</p>\n<p>As part of the Cloud &amp; Infrastructure team within Enterprise Operations, this role will develop standardized infrastructure, automation, and developer-facing capabilities across Shield AI&#39;s public and private cloud environments.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments.</li>\n<li>Develop reusable infrastructure-as-code modules, automation frameworks, and self-service platform capabilities for engineering teams.</li>\n<li>Own platform initiatives from technical design and implementation through production operations and continuous improvement.</li>\n<li>Build and maintain container and Kubernetes platform capabilities, including deployment automation, configuration management, observability, and lifecycle management.</li>\n<li>Develop platform tooling and automation using technologies such as Terraform, Ansible, Python, and Go.</li>\n<li>Build standardized paved paths that simplify infrastructure provisioning, application deployment, and access to shared platform services.</li>\n<li>Establish and maintain platform standards for reliability, scalability, security, performance, and cost efficiency.</li>\n<li>Support capacity planning, performance tuning, vulnerability remediation, disaster recovery, and platform lifecycle management.</li>\n<li>Build and improve CI/CD pipelines, monitoring, logging, alerting, and other developer-facing platform services.</li>\n<li>Troubleshoot complex platform, infrastructure, and application integration issues and lead root-cause analysis.</li>\n<li>Develop and maintain architecture diagrams, technical documentation, operational procedures, and reusable implementation patterns.</li>\n<li>Evaluate emerging technologies and recommend solutions that improve automation, reliability, and developer productivity.</li>\n<li>Provide technical guidance to other engineers and contribute to platform architecture, standards, and roadmap decisions.</li>\n<li>Participate in an on-call rotation and scheduled after-hours maintenance as needed.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>7+ years of experience in platform engineering, cloud infrastructure, DevOps, Site Reliability Engineering, or a related discipline.</li>\n<li>Experience designing and operating production infrastructure in Azure, AWS, or comparable public cloud environments.</li>\n<li>Strong experience developing reusable infrastructure-as-code modules and automation using tools such as Terraform and Ansible.</li>\n<li>Hands-on experience deploying and operating containerized workloads and Kubernetes-based platforms.</li>\n<li>Proficiency in Python, Go, or another programming language used to build platform tooling and automation.</li>\n<li>Experience building CI/CD pipelines, self-service infrastructure capabilities, or developer-facing platform services.</li>\n<li>Strong Linux systems administration experience, including deployment, configuration, troubleshooting, patching, and performance analysis.</li>\n<li>Working knowledge of cloud and enterprise networking, including VPCs/VNets, subnets, routing, VPNs, load balancing, DNS, and firewalls.</li>\n<li>Experience implementing monitoring, logging, alerting, and observability for production platforms.</li>\n<li>Understanding of platform security, identity and access management, vulnerability remediation, and secure configuration practices.</li>\n<li>Ability to independently lead complex technical initiatives from design through production deployment.</li>\n<li>Strong technical documentation, communication, collaboration, and organizational skills.</li>\n<li>Bachelor&#39;s degree in computer science or a related field, or equivalent practical experience.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience supporting commercial, government, regulated, classified, or air-gapped cloud environments.</li>\n<li>Experience with both Microsoft Azure and AWS, including Azure Government or AWS GovCloud.</li>\n<li>Experience with GitOps, Helm, policy as code, secrets management, service catalogs, or internal developer portals.</li>\n<li>Experience designing or supporting internal developer platforms and standardized paved-path tooling.</li>\n<li>Knowledge of private cloud and virtualization platforms such as VMware, Hyper-V, or KVM.</li>\n<li>Experience defining service-level indicators, service-level objectives, incident response practices, and reliability improvements.</li>\n<li>Experience supporting hybrid-cloud architectures spanning public cloud, private cloud, and on-premises infrastructure.</li>\n<li>Experience within aerospace, defense, manufacturing, or other regulated environments.</li>\n<li>Relevant cloud, Kubernetes, Terraform, or platform-engineering certifications.</li>\n</ul>","enriched_at":1789078109941},{"id":"job_018f8c19-dbb","title":"Senior Network Engineer (R5667)","source_url":"https://jobs.lever.co/shieldai/2f5ff4ff-4e51-4e20-8296-133dc62b365d","location":"San Mateo, California","job_type":"Full Time Employee","experience_level":"senior","work_arrangement":"onsite","category":"IT","description":"<p>Shield AI is seeking a highly skilled Senior Network Engineer to help advance and secure its mission-critical global infrastructure. You will design, deploy, and maintain resilient network systems that power Shield AI&#39;s enterprise and development environments,spanning data centers, on-premises sites, and public cloud networks.</p>\n<h3>Responsibilities</h3>\n<h4>Network Engineering</h4>\n<ul>\n<li>Experience with public cloud networking in Azure and AWS, including secure connectivity models such as ExpressRoute, Transit Gateway, and Cloud WAN / vWAN.</li>\n<li>Design, architect, and implement routing, switching, WLAN, and firewall infrastructure across data centers and remote offices.</li>\n<li>Deploy and manage WAN and VPN connectivity, ensuring secure and reliable access for enterprise and mission environments.</li>\n<li>Develop and apply network automation to streamline provisioning, monitoring, and configuration management.</li>\n<li>Collaborate with Cloud, Platform, Security, and Infrastructure engineering teams to develop standardized network architectures supporting self-service platforms and engineering automation.</li>\n<li>Recommend and implement scalable, automated approaches to operational tasks and vulnerability remediation.</li>\n<li>Contribute to Agile delivery cycles and engineering principles while managing assigned network projects and deliverables.</li>\n<li>Conduct network capacity planning and provide recommendations for growth and optimization.</li>\n</ul>\n<h4>Operations and Support</h4>\n<ul>\n<li>Plan and execute network and firewall changes in accordance with change-management and security governance processes.</li>\n<li>Continuously monitor, analyze, and improve network performance, resiliency, and security posture.</li>\n<li>Provide advanced troubleshooting for network-related hardware, software, and application issues.</li>\n<li>Configure and maintain secure connectivity services such as VPN/ZTNA, HTTPS, and SFTP.</li>\n<li>Create and maintain clear operational and configuration documentation; mentor operational teams on processes and procedures.</li>\n<li>Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations.</li>\n<li>Participate in on-call rotation and scheduled maintenance activities.</li>\n</ul>\n<h4>Maintenance</h4>\n<ul>\n<li>Lead or assist with network upgrades and patching within defined maintenance windows.</li>\n<li>Maintain network device software and license compliance.</li>\n<li>Ensure security vulnerabilities are identified and remediated in coordination with IT security teams.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>6+ years of experience supporting and administering complex network systems in production environments.</li>\n<li>Expertise in network routing, switching, and security architectures.</li>\n<li>Proficiency in at least one Network Operating System (e.g., NX-OS, JunOS, Arista EOS).</li>\n<li>Proficiency in at least one Network Security OS (e.g., PAN-OS, FortiOS).</li>\n<li>Experience with network automation and infrastructure-as-code practices (e.g., Terraform, Ansible, Python).</li>\n<li>Strong understanding of firewall management, segmentation, and VPN technologies.</li>\n<li>Excellent analytical, organizational, and troubleshooting skills.</li>\n<li>Effective written and verbal communication across technical and non-technical audiences.</li>\n<li>Proven ability to work independently and deliver in a structured, process-driven environment.</li>\n<li>Bachelor&#39;s degree in a technical discipline or 6+ years of relevant experience with a professional certification (e.g., CCNP, JNCIS, VCP-NV, or equivalent).</li>\n<li>Experience building and managing scalable hybrid infrastructure connectivity solutions linking on-premises systems with cloud networks.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Familiarity with Juniper and Palo Alto network solutions and centralized management platform (Panorama preferred).</li>\n<li>Familiarity with WLAN technologies and wireless authentication (e.g., 802.1x, RADIUS).</li>\n<li>Experience with NAC solutions and network access policy enforcement.</li>\n<li>Experience with ZTNA / SASE solutions (Prisma, Zscaler, or Cato).</li>\n<li>Working knowledge of virtualization or operating system administration (VMware, Windows, or Linux).</li>\n<li>Demonstrated project management and leadership skills.</li>\n<li>Team-oriented, collaborative mindset with the ability to coach peers and present to non-technical stakeholders.</li>\n<li>Solution-driven, adaptable approach in a fast-paced, change-controlled environment.</li>\n</ul>","enriched_at":1789078086849},{"id":"job_6b919bff-e87","title":"Summer 2027 - Software Engineer Intern","source_url":"https://jobs.lever.co/shieldai/8c850c75-081d-4d09-bebf-096379a93010","location":"San Diego, California","job_type":"Intern","experience_level":null,"work_arrangement":"onsite","category":"Engineering","description":"<p>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.</p>\n<p>Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.</p>\n<p>The Summer Internship program is a 10-week paid internship that provides hands-on mentorship, an opportunity to add real contribution to the company via an internship project, and a possible job offer at the end.</p>\n<h3>About the Role</h3>\n<p>Shield AI&#39;s Software Development Engineer Intern program spans engineers who design, build, and test the code that powers autonomous systems , from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together.</p>\n<p>Over 10–12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using standard Agile development practices.</p>\n<p>Example Intern Projects:</p>\n<ul>\n<li>Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow.</li>\n<li>Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing.</li>\n<li>Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline.</li>\n<li>Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure.</li>\n</ul>\n<h3>Required Qualifications</h3>\n<ul>\n<li>Currently pursuing a Bachelor&#39;s or Master&#39;s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field</li>\n<li>Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript)</li>\n<li>Solid foundation in data structures, algorithms, and software design principles</li>\n<li>Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships</li>\n<li>Familiarity with version control (e.g., Git) and collaborative development workflows</li>\n<li>Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code</li>\n<li>Effective written and verbal communication skills and the ability to work collaboratively in a team environment</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Exposure to mobile or web application frameworks and full-stack development</li>\n<li>Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging</li>\n<li>Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience with cloud platforms, databases, networking, or distributed systems</li>\n<li>Familiarity with Agile/Scrum development methodologies</li>\n<li>Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications</li>\n<li>Interest in or exposure to the defense, aerospace, or autonomous systems industry</li>\n</ul>","enriched_at":1789078077923}],"category_normalised":[{"category":"engineering","count":330},{"category":"sales","count":24},{"category":"operations","count":24},{"category":"finance","count":16},{"category":"it","count":12},{"category":"manufacturing","count":11},{"category":"hr","count":8},{"category":"marketing","count":2},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":83},{"week_start":"2026-04-20","count":14},{"week_start":"2026-05-11","count":9},{"week_start":"2026-05-18","count":16},{"week_start":"2026-05-25","count":16},{"week_start":"2026-06-01","count":17},{"week_start":"2026-06-08","count":8},{"week_start":"2026-06-15","count":33},{"week_start":"2026-06-22","count":7},{"week_start":"2026-06-29","count":6},{"week_start":"2026-07-06","count":17},{"week_start":"2026-07-13","count":9},{"week_start":"2026-07-20","count":24},{"week_start":"2026-07-27","count":18},{"week_start":"2026-08-03","count":24},{"week_start":"2026-08-10","count":8},{"week_start":"2026-08-17","count":10},{"week_start":"2026-08-24","count":18},{"week_start":"2026-08-31","count":36},{"week_start":"2026-09-07","count":55}],"trend":"accelerating","wow_pct":53},"momentum":{"recent_14d":92,"prior_14d":27,"growth_pct":241,"classification":"accelerating"},"salary_vs_industry":{"company_median":185000.25,"industry_median":null,"percentile":null,"sample_size":214,"by_region":[{"region":"United 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