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Rabat, Morocco", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Azure, Linux, Windows, GitHub Actions, Jenkins, Packer, Terraform, Ansible, AWS AMI, Azure Compute Gallery", "professionalSkills" : [ "System design", "Architecture design" ], "hardSkillsList" : [ "System security", "Image hardening", "Vulnerability scanning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "System security", "level" : "intermediate" }, { "name" : "Image hardening", "level" : "intermediate" }, { "name" : "Vulnerability scanning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Image Factory, Cloud architecture, DevOps, CI/CD", "majorSkillsList" : [ "Image Factory", "Cloud architecture", "DevOps", "CI/CD" ], "coreResponsibilities" : "Design Image Factory architecture, Implement Image Factory architecture, Automate image creation, Automate image validation, Automate image distribution, Define base image standards, Define hardened image standards, Define application ready image standards, Develop scalable image strategy, Design image governance model, Monitor image pipeline performance, Monitor image pipeline usage, Monitor image pipeline adoption, Design automation pipelines, Implement automation pipelines, Integrate Infrastructure as Code, Automate image tests, Automate image validations, Automate image security checks, Optimize image build processes, Publish images automatically, Integrate security controls, Ensure regulatory compliance, Implement vulnerability scanning tools, Ensure image security compliance, Define image governance mechanisms, Align Image Factory processes, Enable self-service image consumption, Ensure internal platform integration", "teamCollaboration" : "Platform Engineering teams; DevOps teams; Security teams; Infrastructure teams; Development teams; Application teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Cloud platforms; Operating systems; CIS standards; Security policies; Regulatory requirements", "domainList" : [ "cloud-platforms", "operating-systems", "cis-standards", "security-policies", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Cloud platforms", "Operating systems", "CIS standards", "Security policies", "Regulatory requirements" ], "toolProficiency" : [ "Packer", "Terraform", "Ansible", "GitHub Actions", "Jenkins", "Tenable", "Qualys" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "7 years infrastructure cloud experience, 7 years DevOps experience, 7 years system engineering experience, Master's in Computer Science, Master's in related field, Design image pipelines experience, Manage image pipelines experience, Golden Images framework experience, Large scale cloud environments experience, Multi-region cloud environments experience, Fluent English", "qualificationsPreferred" : "Experience with AWS AMI, Experience with Azure Compute Gallery, Experience with container registries, Experience with other image repositories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu. Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages. Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu ! Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants. Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir. Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux. Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ? Nous recherchons un Architecte Image Factory expérimenté pour concevoir et piloter une plateforme d’usine à images (Image Factory) destinée à l’automatisation de la création, de la sécurisation, de la standardisation et de la publication d’images de systèmes d’exploitation pour des plateformes cloud d’entreprise. Ce rôle consiste à mettre en place une architecture d’Image Factory évolutive et sécurisée permettant la création d’images, leur durcissement de sécurité (hardening), leur gestion du cycle de vie et leur déploiement multi-cloud dans des environnements tels qu’AWS et Azure. L’architecte collaborera avec les équipes Platform Engineering, DevOps, Sécurité et Infrastructure afin de fournir des images de base standardisées et sécurisées qui accélèrent les déploiements applicatifs tout en respectant les exigences de sécurité et de conformité de l’entreprise. Architecture et stratégie de l’Image Factory * Concevoir et mettre en œuvre une architecture Image Factory automatisant la création, la validation et la distribution des images de référence (« Golden Images »). * Définir les standards d’entreprise pour : * les images de base, * les images durcies (hardened images), * les images prêtes pour les applications. * Développer une stratégie d’images évolutive à travers plusieurs plateformes cloud et outils tels que : * AWS AMI, * Azure Compute Gallery, * registres de conteneurs, * autres référentiels d’images. * Concevoir un modèle de gouvernance des images couvrant : * le versionnement, * la gestion du cycle de vie, * les pipelines de promotion des images. * Surveiller les performances, l’utilisation et l’adoption des pipelines d’images dans l’ensemble des plateformes cloud. Développement des pipelines d’automatisation et CI/CD * Concevoir et mettre en œuvre des pipelines automatisés utilisant GitHub Actions, Jenkins ou d’autres outils CI/CD. * Intégrer les pratiques Infrastructure as Code (IaC) avec : * Packer, Terraform, Ansible, ou des outils équivalents. * Automatiser les tests, validations et contrôles de sécurité des images pendant l’exécution des pipelines. * Optimiser les processus de construction des images en termes de performance, de coûts et de fiabilité. * Mettre en place la publication automatique des images vers les référentiels d’entreprise et les galeries cloud. Sécurité et conformité * Intégrer les contrôles de sécurité dans les processus de création d’images. * Garantir la conformité avec les standards CIS, les politiques de sécurité de l’entreprise et les autres exigences réglementaires. * Mettre en œuvre des outils de scan de vulnérabilités tels que : * Tenable, Qualys, ou des solutions similaires. * Veiller à ce que les images respectent les exigences de sécurité avant leur mise en production. * Définir les mécanismes de gouvernance permettant d’appliquer les standards d’images et les politiques de sécurité. Intégration Platform Engineering & DevOps * Aligner les processus Image Factory avec les stratégies Platform Engineering et DevOps de l’entreprise. * Permettre aux équipes de développement et d’applications de consommer les images standardisées via des mécanismes de self-service. * Assurer l’intégration avec les plateformes internes lorsque nécessaire. ## Qualifications * 7 ans ou plus d’expérience en infrastructure cloud, DevOps ou ingénierie système. * Diplôme universitaire en informatique (BAC+5) ou domaine connexe. * Expérience pratique dans la conception et la gestion de pipelines d’images d’entreprise ou de frameworks Golden Images. * Expérience dans des environnements cloud à grande échelle et multi-régions. * Anglais courant Compétences techniques * Expertise avancée sur : * Packer, Terraform, AWS, Azure. * Solides compétences en : * CI/CD, GitHub Actions, Jenkins. * Connaissances approfondies : * Linux, Windows, sécurité des systèmes. * Expérience avec les outils de gestion de vulnérabilités et de conformité. Soft Skills * Forte capacité d’architecture et de conception de systèmes. * Excellentes compétences en communication et collaboration avec les parties prenantes. * Capacité à encadrer des ingénieurs et à piloter des initiatives de plateforme. * Esprit analytique, autonomie et orientation résultats. ## Additional Information * https://www.linkedin.com/company/devoteam * https://twitter.com/devoteam * https://www.facebook.com/devoteam", "summaryDescription" : "Architecte Image Factory / AMI Factory (H/F) at Devoteam. Skills: Image Factory, Cloud architecture, DevOps, CI/CD. Design Image Factory architecture. 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Rabat, Morocco", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Packer, Terraform, AWS, Azure, CI/CD, GitHub Actions, Jenkins, Linux, Windows, Tenable, Qualys", "professionalSkills" : [ "System design", "Architecture design" ], "hardSkillsList" : [ "Image creation automation", "Image hardening", "Image lifecycle management", "Multi-cloud deployment", "Security controls integration", "Vulnerability scanning", "Infrastructure as Code", "Automated testing", "Security validation", "Security controls" ], "softSkillsList" : [ "Leadership", "Mentoring", "Analytical thinking" ], "hardSkills" : [ { "name" : "Image creation automation", "level" : "intermediate" }, { "name" : "Image hardening", "level" : "intermediate" }, { "name" : "Image lifecycle management", "level" : "intermediate" }, { "name" : "Multi-cloud deployment", "level" : "intermediate" }, { "name" : "Security controls integration", "level" : "intermediate" }, { "name" : "Vulnerability scanning", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Security validation", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Image Factory Architecture, CI/CD Pipelines, Cloud Security, DevOps Integration", "majorSkillsList" : [ "Image Factory Architecture", "CI/CD Pipelines", "Cloud Security", "DevOps Integration" ], "coreResponsibilities" : "Design Image Factory architecture, Implement Image Factory architecture, Automate image creation, Automate image validation, Automate image distribution, Define base image standards, Define hardened image standards, Define application-ready image standards, Develop scalable image strategy, Manage image versioning, Manage image lifecycle, Manage image promotion pipelines, Monitor image pipeline performance, Monitor image pipeline usage, Monitor image pipeline adoption, Design CI/CD pipelines, Implement CI/CD pipelines, Integrate Infrastructure as Code, Automate image tests, Automate image validations, Automate image security checks, Optimize image build performance, Optimize image build costs, Optimize image build reliability, Publish images automatically, Integrate security controls, Ensure CIS compliance, Ensure security policy compliance, Ensure regulatory compliance, Implement vulnerability scanning tools, Ensure image security before production, Define image governance mechanisms, Apply image standards, Apply security policies, Align Image Factory with DevOps, Align Image Factory with Platform Engineering, Enable self-service image consumption, Integrate with internal platforms", "teamCollaboration" : "Platform Engineering teams; DevOps teams; Security teams; Infrastructure teams; Development teams; Application teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Enterprise cloud platforms; Operating system images; Cloud-native architecture; Security standards; Compliance requirements; CIS standards", "domainList" : [ "enterprise-cloud-platforms", "operating-system-images", "cloud-native-architecture", "security-standards", "compliance-requirements", "cis-standards" ], "domainSpecificKnowledge" : [ "Enterprise cloud platforms", "Operating system images", "Cloud-native architecture", "Security standards", "Compliance requirements", "CIS standards" ], "toolProficiency" : [ "Packer", "Terraform", "Ansible", "GitHub Actions", "Jenkins", "Tenable", "Qualys" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "7 years infrastructure cloud experience, 7 years DevOps experience, 7 years system engineering experience, Master's degree in Computer Science, Master's degree in related field, Experience designing image pipelines, Experience managing image pipelines, Experience with Golden Images frameworks, Experience in large-scale cloud environments, Experience in multi-region cloud environments, Fluent English", "qualificationsPreferred" : "Experience with AWS AMI, Experience with Azure Compute Gallery, Experience with container registries, Experience with other image repositories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu. Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages. Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu ! Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants. Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir. Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux. Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ? Nous recherchons un Architecte Image Factory expérimenté pour concevoir et piloter une plateforme d’usine à images (Image Factory) destinée à l’automatisation de la création, de la sécurisation, de la standardisation et de la publication d’images de systèmes d’exploitation pour des plateformes cloud d’entreprise. Ce rôle consiste à mettre en place une architecture d’Image Factory évolutive et sécurisée permettant la création d’images, leur durcissement de sécurité (hardening), leur gestion du cycle de vie et leur déploiement multi-cloud dans des environnements tels qu’AWS et Azure. L’architecte collaborera avec les équipes Platform Engineering, DevOps, Sécurité et Infrastructure afin de fournir des images de base standardisées et sécurisées qui accélèrent les déploiements applicatifs tout en respectant les exigences de sécurité et de conformité de l’entreprise. Architecture et stratégie de l’Image Factory * Concevoir et mettre en œuvre une architecture Image Factory automatisant la création, la validation et la distribution des images de référence (« Golden Images »). * Définir les standards d’entreprise pour : * les images de base, * les images durcies (hardened images), * les images prêtes pour les applications. * Développer une stratégie d’images évolutive à travers plusieurs plateformes cloud et outils tels que : * AWS AMI, * Azure Compute Gallery, * registres de conteneurs, * autres référentiels d’images. * Concevoir un modèle de gouvernance des images couvrant : * le versionnement, * la gestion du cycle de vie, * les pipelines de promotion des images. * Surveiller les performances, l’utilisation et l’adoption des pipelines d’images dans l’ensemble des plateformes cloud. Développement des pipelines d’automatisation et CI/CD * Concevoir et mettre en œuvre des pipelines automatisés utilisant GitHub Actions, Jenkins ou d’autres outils CI/CD. * Intégrer les pratiques Infrastructure as Code (IaC) avec : * Packer, Terraform, Ansible, ou des outils équivalents. * Automatiser les tests, validations et contrôles de sécurité des images pendant l’exécution des pipelines. * Optimiser les processus de construction des images en termes de performance, de coûts et de fiabilité. * Mettre en place la publication automatique des images vers les référentiels d’entreprise et les galeries cloud. Sécurité et conformité * Intégrer les contrôles de sécurité dans les processus de création d’images. * Garantir la conformité avec les standards CIS, les politiques de sécurité de l’entreprise et les autres exigences réglementaires. * Mettre en œuvre des outils de scan de vulnérabilités tels que : * Tenable, Qualys, ou des solutions similaires. * Veiller à ce que les images respectent les exigences de sécurité avant leur mise en production. * Définir les mécanismes de gouvernance permettant d’appliquer les standards d’images et les politiques de sécurité. Intégration Platform Engineering & DevOps * Aligner les processus Image Factory avec les stratégies Platform Engineering et DevOps de l’entreprise. * Permettre aux équipes de développement et d’applications de consommer les images standardisées via des mécanismes de self-service. * Assurer l’intégration avec les plateformes internes lorsque nécessaire. ## Qualifications * 7 ans ou plus d’expérience en infrastructure cloud, DevOps ou ingénierie système. * Diplôme universitaire en informatique (BAC+5) ou domaine connexe. * Expérience pratique dans la conception et la gestion de pipelines d’images d’entreprise ou de frameworks Golden Images. * Expérience dans des environnements cloud à grande échelle et multi-régions. * Anglais courant Compétences techniques * Expertise avancée sur : * Packer, Terraform, AWS, Azure. * Solides compétences en : * CI/CD, GitHub Actions, Jenkins. * Connaissances approfondies : * Linux, Windows, sécurité des systèmes. * Expérience avec les outils de gestion de vulnérabilités et de conformité. Soft Skills * Forte capacité d’architecture et de conception de systèmes. * Excellentes compétences en communication et collaboration avec les parties prenantes. * Capacité à encadrer des ingénieurs et à piloter des initiatives de plateforme. * Esprit analytique, autonomie et orientation résultats. ## Additional Information * https://www.linkedin.com/company/devoteam * https://twitter.com/devoteam * https://www.facebook.com/devoteam", "summaryDescription" : "Architecte Image Factory / AMI Factory (H/F) at Devoteam. Skills: Image Factory Architecture, CI/CD Pipelines, Cloud Security, DevOps Integration. Design Image Factory architecture. Implement Image Factory architecture", "postedDate" : "2026-06-15T16:08:03.000", "createdAt" : "2026-06-15T21:51:51.899", "lastUpdated" : "2026-06-16T06:57:54.968", "ingestTimestamp" : "2026-06-15T21:51:51.899", "mongoId" : "6a305303f292fd229cf10b55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Image creation automation", "Image hardening", "Image lifecycle management", "Multi-cloud deployment", "Security controls integration", "Vulnerability scanning", "Infrastructure as Code", "Automated testing", "Security validation", "Security controls", "Leadership", "Mentoring", "Analytical thinking", "Image Factory Architecture", "CI/CD Pipelines", "Cloud Security", "DevOps Integration", "System design", "Architecture design", "Agile", "Enterprise cloud platforms", "Operating system images", "Cloud-native architecture", "Security standards", "Compliance requirements", "CIS standards", "Packer", "Terraform", "Ansible", "GitHub Actions", "Jenkins", "Tenable", "Qualys" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0a57221663d49372c7508e", "title" : "Factory Administrator", "company" : "Rubicon", "industry" : "Manufacturing", "salary" : { "min" : 325000.0, "max" : 515000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Factory Administrator in Cape Town, South Africa, adjusted for the manufacturing industry." }, "location" : "Cape Town - Richmond Park, ZA", "locations" : [ "Cape Town - Richmond Park", "ZA" ], "timestamp" : "2026-06-16T04:59:51.940", "fingerprint" : "64ef4d4e5947dbdc908de94935f1c6fc34df910675a6cc1c8fde115940b30bc7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://rubicon-group.breezy.hr/p/f47187e6c102-factory-administrator", "externalId" : "f47187e6c102", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cape Town", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9288301,18.4172197" } ], "locationText" : "Cape Town, Western Cape, South Africa", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Support factory operations, Support procurement team, Support sales team, Assist with quotations, Follow up with suppliers, Coordinate production", "domainKnowledge" : "Lighting manufacturing", "domainList" : [ "lighting-manufacturing" ], "domainSpecificKnowledge" : [ "Lighting manufacturing" ], "qualificationsBasic" : "Organized, Proactive, Experience in lighting manufacturing", "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a highly organized and proactive Factory Administrator / Production Coordinator with experience in the lighting manufacturing industry. The successful candidate will support the factory, procurement, and sales teams by assisting with quotations, following up with suppliers, coord", "summaryDescription" : "Factory Administrator at Rubicon. Support factory operations. Support procurement team", "createdAt" : "2026-06-14T18:37:35.504", "lastUpdated" : "2026-06-16T04:59:51.940", "ingestTimestamp" : "2026-06-14T18:37:35.504", "mongoId" : "6a0a57221663d49372c7508e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Lighting manufacturing" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f7ab", "title" : "CAD customization using. NET (C#), VB", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1450000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CAD customization role using .NET (C#), VB in the Automotive industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T00:30:44.748", "fingerprint" : "ddfdae409a0ca3e41d89c8d3bd5d9b738080f7d4143d2102fb90f3cd2e65f613", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889179", "externalId" : "889179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "NET, C#, VB, Scripting, XML, NX-Open API, HTML, AI, Deep learning, C/C++", "professionalSkills" : [ "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "Coding standards", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development" ], "hardSkillsList" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Leadership" ], "hardSkills" : [ { "name" : "NXOpen/UFUNC API", "level" : "intermediate" }, { "name" : "C# (.NET)", "level" : "intermediate" }, { "name" : "VB", "level" : "intermediate" }, { "name" : "C/C++", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "XML", "level" : "intermediate" }, { "name" : "Visual Studio", "level" : "intermediate" }, { "name" : "UIlock Styler", "level" : "intermediate" }, { "name" : "WPF", "level" : "intermediate" }, { "name" : "Siemens NX", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Drafting", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "JIRA", "level" : "intermediate" }, { "name" : "Confluence", "level" : "intermediate" }, { "name" : "KANBO", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud Knowhow", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Leadership" } ], "majorSkills" : "CAD Customization, NET, NXOpen API, Automation", "majorSkillsList" : [ "CAD Customization", "NET", "NXOpen API", "Automation" ], "coreResponsibilities" : "Develop desktop applications, Develop Macros, Develop Plugins, Customize CAD, Implement automation requirements, Gather requirements, Deliver automation solutions, Drive programs, Coordinate projects, Execute strategy, Align to strategy, Provide direction to team, Make project plans, Create schedules, Organize meetings, Moderate meetings, Coordinate meetings, Document meetings, Align technical decisions, Negotiate with clients, Review changes, Perform administration tasks, Write reports, Ensure project adheres to timeline, Comply with best coding practices, Ensure high quality deliveries, Use NX-Open API's, Prototype solutions, Develop complex solutions, Build projects, Deploy projects, Create Architecture Documentation, Create Specification, Create UI logic, Develop Quick PoC", "teamCollaboration" : "Multiple stakeholders; Technical decisions; Customer communication; Coordinate meetings", "projectManagementSkills" : [ "SDLC", "Agile (Scrum)", "Project plans", "Schedules" ], "domainKnowledge" : "Automotive design; CAD Customization; Siemens NX; NX Modelling; NX Drafting; Architectural patterns; Service oriented architecture; Micro services; Enterprise architecture", "domainList" : [ "automotive-design", "cad-customization", "siemens-nx", "nx-modelling", "nx-drafting", "architectural-patterns", "service-oriented-architecture", "micro-services", "enterprise-architecture" ], "domainSpecificKnowledge" : [ "Automotive design", "CAD Customization", "Siemens NX", "NX Modelling", "NX Drafting", "Architectural patterns", "Service oriented architecture", "Micro services", "Enterprise architecture" ], "toolProficiency" : [ "NXOpen API", "Visual Studio 2019", "Visual Studio 2022", "UIlock Styler", "WPF", "Siemens NX", "JIRA", "Confluence", "KANBO" ], "communicationSkills" : "Excellent Communication Skills; Communication and Moderation", "documentationSkills" : "Architecture Documentation; Specification", "innovationCreativity" : "Innovative Problem Solving", "problemSolvingSkills" : "Analytical and problem solving skills; Innovative Problem Solving", "outcomesObjectives" : "High quality deliveries", "qualificationsBasic" : "3-6 years relevant experience, Experience in CAD/CAE Customization, C# (.NET), VB, C/C++ language experience", "qualificationsPreferred" : "Siemens NX experience preferred", "remoteFriendly" : false, "rawDescription" : " Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "CAD customization using. NET (C#), VB at Mercedes-Benz Research and Development India. Skills: CAD Customization, NET, NXOpen API, Automation. Develop desktop applications. Develop Macros", "createdAt" : "2026-06-14T18:52:11.122", "lastUpdated" : "2026-06-16T00:30:44.748", "ingestTimestamp" : "2026-06-14T18:52:11.122", "mongoId" : "6a191e7758b93c861e39f7ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow", "Analytical", "Problem-solving", "Leadership", "CAD Customization", "NET", "NXOpen API", "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development", "Agile (Scrum)", "Project plans", "Schedules", "Automotive design", "NX Modelling", "NX Drafting", "Service oriented architecture", "Micro services", "Enterprise architecture", "Visual Studio 2019", "Visual Studio 2022" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b18f292fd229cf594ac", "title" : "Quality Control Factory Inspector", "company" : "Suitsupply", "industry" : "Outdoor & Apparel", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "MUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior, Mid-level Quality Control Factory Inspector in Mauritius, adjusted for the Apparel & Fashion industry." }, "location" : "Mauritius", "locations" : [ "Mauritius", "Morocco", "Tábua", "Coimbra District", "Portugal" ], "timestamp" : "2026-06-16T09:31:06.455", "fingerprint" : "6f2678151da7db94e9b55151ac78fca71fbd6059bc9c30dac8b4f844e44c5168", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careersatsuitsupply.com/en-us/vacancies/8007575?gh_jid=8007575", "externalId" : "8007575", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mauritius", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Mauritius", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Quality control", "Process management", "Data collection", "Risk identification" ], "hardSkillsList" : [ "Garment construction", "Defect classification", "AQL sampling" ], "hardSkills" : [ { "name" : "Garment construction", "level" : "intermediate" }, { "name" : "Defect classification", "level" : "intermediate" }, { "name" : "AQL sampling", "level" : "intermediate" } ], "majorSkills" : "Garment inspection, Quality standards, Defect assessment", "majorSkillsList" : [ "Garment inspection", "Quality standards", "Defect assessment" ], "coreResponsibilities" : "Perform final random inspections, Evaluate garments against standards, Classify and document defects, Document defects with photographic evidence, Receive factory in-line QC reports, Review factory in-line QC reports, Communicate inspection results, Follow up on corrective actions, Submit regular inspection reports, Contribute to data collection, Log defects accurately, Build working relationships, Flag systemic quality issues, Flag production risks, Support factory capability development, Compare AQL results, Identify discrepancies, Review factory performance, Assist in improvement plans, Assist in bulk fabric inspections, Report fabric issues", "teamCollaboration" : "Factory production teams; Factory QC teams; Regional QC Manager", "domainKnowledge" : "Garment construction; Menswear tailoring; AQL standards", "domainList" : [ "garment-construction", "menswear-tailoring", "aql-standards" ], "domainSpecificKnowledge" : [ "Garment construction", "Menswear tailoring", "AQL standards" ], "communicationSkills" : "Reporting", "documentationSkills" : "Defect documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "2+ years garment quality inspection, Solid knowledge of garment construction, Solid knowledge of common defect types, Solid knowledge of AQL inspection standards, Ability to read tech packs, Ability to interpret garment specifications, Good written English, Good spoken English, Local language proficiency", "qualificationsPreferred" : "Menswear experience, Tailoring experience, Shirts experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a QC Inspector, you are the eyes and hands of Suitsupply’s quality function on the factory floor. Permanently embedded at a production facility, you will perform final random inspections on all active production styles to ensure every garment meets Suitsupply’s exacting standards before it leaves the factory. This role is central to our Phase 1 model — one dedicated inspector per factory, building deep knowledge of that facility’s processes and quality performance over time. Working closely with factory inspectors and technicians, you will build trusted partnerships that drive continuous quality improvement. What you will do Perform final random inspections (FRI, Stage 5) on finished goods in accordance with AQL sampling plans and Suitsupply inspection criteria. Evaluate garments against approved PP samples, tech packs, and workmanship standards. Classify and document defects accurately (critical, major, minor) with photographic evidence. Receive and review factory in-line QC reports for visibility and early risk identification (Stage 4). Communicate inspection results to factory management and follow up on corrective actions. Submit regular inspection reports to the regional QC Manager. Contribute to Stage 7 data collection: accurate defect logging to feed factory scorecards. Build strong working relationships with factory production and QC teams. Flag systemic quality issues or production risks to the QC Manager promptly. Support Phase 2 factory capability development over time. Compare AQL results with the factory’s own AQL results and identify discrepancies. Review AQL and factory performance on a regular basis and assist in improvement plans (e. g. improving rework rates through more technical in-line assistance). Assist in bulk fabric inspections and report any issues such as colour shading. Who you are 2+ years of experience in garment quality inspection, ideally within menswear, tailoring, or shirts. Solid knowledge of garment construction, common defect types, and AQL inspection standards. Ability to read and interpret tech packs and garment specifications. Good written and spoken English for reporting to the regional QC Manager. Local language proficiency relevant to factory location. Self-motivated, reliable, and able to work independently with minimal supervision. Sharp and consistent eye for garment quality and workmanship. Objective and fair in defect assessment — independent from factory pressure. Clear and accurate in documentation and reporting. Builds effective working relationships with factory staff while maintaining independence. Disciplined, self-directed, and accountable. What you will get Autonomy: We empower you to take ownership, make meaningful decisions, and drive impact without layers of sign-off. Growth: We see your potential as a key asset. At Suitsupply, you’ll have abundant opportunities to learn, grow, and excel in a supportive environment that encourages development at every step. Incentivized Bonus: Earn a performance-based bonus tied directly to your productivity and results. Corporate Social Responsibility: Our commitment to sustainability and ethical business is unwavering. We work exclusively with suppliers who uphold the highest standards, in alignment with the International Labour Organization. Style: Immerse yourself in a world of beautifully crafted, high-quality products, and enjoy a 40% discount on Suitsupply products.", "summaryDescription" : "Quality Control Factory Inspector at Suitsupply. Skills: Garment inspection, Quality standards, Defect assessment. Perform final random inspections. 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Germany; India; Japan; Mexico; New Zealand; Singapore; Thailand; United Arab Emirates; United Kingdom; United States", "locations" : [ "Australia; Germany; India; Japan; Mexico; New Zealand; Singapore; Thailand; United Arab Emirates; United Kingdom; United States" ], "timestamp" : "2026-06-16T11:15:42.315", "fingerprint" : "3466434653dc1f188c4195002cb8323d9973ffd40c2c3f4d3dd71386552a252a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4013947009", "externalId" : "4013947009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "australia", "source" : "country_code_strategy", "geo" : "-25.2744,133.7751" }, { "country" : "germany", "source" : "country_code_strategy", "geo" : "51.1657,10.4515" }, { "country" : "india", "source" : "country_code_strategy", "geo" : "20.5937,78.9629" }, { "country" : "japan", "source" : "country_code_strategy", "geo" : "36.2048,138.2529" }, { "country" : "mexico", "source" : "country_code_strategy", "geo" : "23.6345,-102.5528" }, { "country" : "new zealand", "source" : "country_code_strategy", "geo" : "-40.9006,174.886" }, { "country" : "singapore", "source" : "country_code_strategy", "geo" : "1.3521,103.8198" }, { "country" : "thailand", "source" : "country_code_strategy", "geo" : "15.87,100.9925" }, { "country" : "united arab emirates", "source" : "country_code_strategy", "geo" : "23.4241,53.8478" }, { "country" : "united kingdom", "source" : "country_code_strategy", "geo" : "55.3781,-3.436" }, { "country" : "united states", "source" : "country_code_strategy", "geo" : "39.8283,-98.5795" } ], "locationText" : "Australia; 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CEO; Operating partner; Cross-functional projects; Management teams", "projectManagementSkills" : [ "Execution workstreams" ], "domainKnowledge" : "Software businesses; Category-defining software; SaaS; Fintech; Enterprise software", "domainList" : [ "software-businesses", "category-defining-software", "saas", "fintech", "enterprise-software" ], "domainSpecificKnowledge" : [ "Software businesses", "Category-defining software", "SaaS", "Fintech", "Enterprise software" ], "toolProficiency" : [ "Dashboards" ], "communicationSkills" : "CEO conversations", "documentationSkills" : "Operating artifact", "continuousLearning" : "Hungry to learn", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Diagnostic exercises", "specialRequirements" : "Onsite presence at portfolio company locations", "outcomesObjectives" : "Unlock value creation velocity; Drive sustainable ARR growth; Drive profitability improvements; Achieve industry-leading customer outcomes", "qualificationsBasic" : "7+ years hands-on operating role, Running a P&L, Owning meaningful operational scope, Early foundation in banking or management consulting, Transition into software or PE-backed operating role, Real commercial exposure, Personally sold, Owned a revenue line, Driven a sales process redesign, Hold a P&L conversation without notes, Ship the 80% version of an operating artifact, Comfortable moving between strategy-level CEO conversations and tactical execution, Think in metrics, Build dashboards to track progress, Make decisions based on data, Proven track record proving yourself, Hungry to learn", "qualificationsPreferred" : "MBA from a top-tier program, Equivalent scrappy startup experience, High-growth operating experience, Prior experience as an operating partner, Prior experience as COO, Prior experience as Chief of Staff, Prior experience as strategic advisor to PE portfolio company, Vertical expertise in SaaS, Vertical expertise in fintech, Vertical expertise in enterprise software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. We invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks. Emergence combines operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes. The Mission Embed at newly acquired companies to translate strategy into operating discipline and unlock value creation velocity. What You'll Do - Design and run the weekly operating cadence with KPIs, business reviews, and accountability loops from day one. - Align portfolio company leadership teams to the same scorecard and targets the deal team modeled at close. - Partner with the CEO and operating partner on the value creation plan, then own highest-impact execution workstreams. - Grab cross-functional projects that fall between silos (go-to-market refinement, organizational restructuring, integration work) and run them to completion. - Run the operating conversations, offsites, and diagnostic exercises the CEO needs but lacks time to organize. - Move across portfolio companies as post-close needs shift, rotating between deep operational embedding and strategic board-level support. What We're Looking For Must-haves - 7+ years hands-on operating role running a P&L or owning meaningful operational scope. - Early foundation in banking or management consulting, then transition into software or PE-backed operating role. - Real commercial exposure: you have personally sold, owned a revenue line, or driven a sales process redesign. - Ability to hold a P&L conversation without notes and ship the 80% version of an operating artifact. - Named a situation where things broke at work, explained your response, and articulated how it changed your approach. - Comfortable moving between strategy-level CEO conversations and tactical execution on a sales floor in the same day. - Think in metrics, build dashboards to track progress, and make decisions based on data. - Proven track record proving yourself - haven't yet reached C-level but striving to get there. - Hungry to learn on the job; don't need formal multi-week training programs. Nice-to-haves - MBA from a top-tier program or equivalent scrappy startup or high-growth operating experience. - Prior experience as an operating partner, COO, Chief of Staff, or strategic advisor to a PE portfolio company. - Vertical expertise in SaaS, fintech, or enterprise software that accelerates diagnostics. Who You Are You have spent years inside operating roles where real money was at stake and real customers depended on your execution. You are comfortable with ambiguity and you move fast without needing permission. You build systems others can run without you. You hire people smarter than you in their domain and you defer to their judgment. You pull data into conversations, not opinions. You reverse course when evidence contradicts your recommendation. You audit critical processes yourself rather than accepting management assertions. You establish standards and enforce them. You've seen things go wrong at work and stayed composed. You want to lead a business someday, and you see this role as the accelerant to get there. What We Offer - Attractive Salary plus performance bonus. - Equity upside aligned with the portfolio companies you help scale. - Based in New York with onsite presence at portfolio company locations. - You will work across multiple businesses and gain broad operating experience faster than most traditional corporate roles allow.", "summaryDescription" : "Operating Partner at Emergence. Skills: Operating discipline, Value creation, Execution, Metrics-driven decision making. Design and run weekly operating cadence. 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We are a fast-growing global startup operating in an international, multicultural environment, and we are always looking to connect with talented professionals who are excited to grow with us and contribute to our mission. Even if there is not a current opening that perfectly matches your background, we would love to hear from you and stay connected for future opportunities across our teams. What it’s like to work at Milestone One? * People-first culture focused on strong relationships and professional growth * Global and multicultural environment with collaboration across different countries and regions * Remote-first workplace with flexibility aligned to operational needs * Enablement-driven mindset: we build sustainable solutions instead of reacting to problems. * Growth environment combining operational excellence with startup agility * Quality, compliance, and ethics are core foundations of how we work Who we’d love to connect with? We welcome professionals from a variety of backgrounds and experience levels within clinical research, especially those passionate about: * Clinical Operations * Site Enablement & Site Management * Clinical Business Development Functions * Regulatory & Compliance * Feasibility & Patient Recruitment * Patient Access & Healthcare Innovation * Global Startup Environments If our mission and way of working align with you, we encourage you to apply and become part of our growing global talent network. We look forward to connecting with you!", "summaryDescription" : "Join Our Global Talent Community at PSI CRO", "postedDate" : "2026-06-15T22:33:22.000", "createdAt" : "2026-06-16T03:35:29.446", "lastUpdated" : "2026-06-16T14:42:02.174", "ingestTimestamp" : "2026-06-16T03:35:29.446", "mongoId" : "6a3091ccf292fd229c0bffdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Clinical research", "Clinical Operations", "Site Enablement", "Site Management", "Clinical Business Development", "Regulatory & Compliance", "Feasibility & Patient Recruitment", "Patient Access", "Healthcare Innovation", "Global Startup Environments" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.0 }, { "id" : "6a3084c6f292fd229c075841", "title" : "Join Our Global Talent Community", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "location" : "Worldwide, XX", "locations" : [ "Worldwide", "XX" ], "timestamp" : "2026-06-16T11:54:31.486", "fingerprint" : "6f500f63084f02234b0ab9784b7e37fff01c0bf90411ed858ecc6d558df4be8e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000132293728-join-our-global-talent-community", "externalId" : "744000132293728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "budapest xx. kerület", "state" : "budapest", "country" : "Hungary", "continent" : "europe", "source" : "locations-index", "geo" : "47.43674,19.10093" } ], "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "domainKnowledge" : "Clinical research; Clinical Operations; Site Enablement; Site Management; Clinical Business Development; Regulatory & Compliance; Feasibility & Patient Recruitment; Patient Access; Healthcare Innovation; Global Startup Environments", "domainList" : [ "clinical-research", "clinical-operations", "site-enablement", "site-management", "clinical-business-development", "regulatory-compliance", "feasibility-patient-recruitment", "patient-access", "healthcare-innovation", "global-startup-environments" ], "domainSpecificKnowledge" : [ "Clinical research", "Clinical Operations", "Site Enablement", "Site Management", "Clinical Business Development", "Regulatory & Compliance", "Feasibility & Patient Recruitment", "Patient Access", "Healthcare Innovation", "Global Startup Environments" ], "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Milestone One, our mission is to bring clinical trials to a much broader range of sites and patients around the world. We are a fast-growing global startup operating in an international, multicultural environment, and we are always looking to connect with talented professionals who are excited to grow with us and contribute to our mission. Even if there is not a current opening that perfectly matches your background, we would love to hear from you and stay connected for future opportunities across our teams. What it’s like to work at Milestone One? * People-first culture focused on strong relationships and professional growth * Global and multicultural environment with collaboration across different countries and regions * Remote-first workplace with flexibility aligned to operational needs * Enablement-driven mindset: we build sustainable solutions instead of reacting to problems. * Growth environment combining operational excellence with startup agility * Quality, compliance, and ethics are core foundations of how we work Who we’d love to connect with? We welcome professionals from a variety of backgrounds and experience levels within clinical research, especially those passionate about: * Clinical Operations * Site Enablement & Site Management * Clinical Business Development Functions * Regulatory & Compliance * Feasibility & Patient Recruitment * Patient Access & Healthcare Innovation * Global Startup Environments If our mission and way of working align with you, we encourage you to apply and become part of our growing global talent network. We look forward to connecting with you!", "summaryDescription" : "Join Our Global Talent Community at PSI CRO", "postedDate" : "2026-06-15T22:33:22.000", "createdAt" : "2026-06-16T01:43:21.244", "lastUpdated" : "2026-06-16T11:54:31.486", "ingestTimestamp" : "2026-06-16T01:43:21.244", "mongoId" : "6a3084c6f292fd229c075841", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Clinical research", "Clinical Operations", "Site Enablement", "Site Management", "Clinical Business Development", "Regulatory & Compliance", "Feasibility & Patient Recruitment", "Patient Access", "Healthcare Innovation", "Global Startup Environments" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2cb01a74d8ee00a09d8d67", "title" : "Factory Design Manager", "company" : "Form Energy", "industry" : "Manufacturing Development", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Manufacturing in Weirton, United States, adjusted for company size and industry." }, "location" : "Weirton, WV", "locations" : [ "Weirton, WV" ], "timestamp" : "2026-06-15T13:48:19.505", "fingerprint" : "a5397bee562517fb41c5a2601c7be8f75edcd553e1727141bc6f8a3f9c713500", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/FORMENERGY/8a6bbb28-0a80-44f8-9261-158e331e041a/application", "externalId" : "8a6bbb28-0a80-44f8-9261-158e331e041a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weirton", "state" : "West Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4002396,-80.5899788" } ], "locationText" : "Weirton, West Virginia, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Factory design, Manufacturing, Material flow, Construction", "professionalSkills" : [ "Project management fundamentals", "Engineering problem solving" ], "hardSkillsList" : [ "Factory design", "Manufacturing", "Material flow", "Construction", "Project management" ], "softSkillsList" : [ "Leadership", "Decision-making" ], "hardSkills" : [ { "name" : "Factory design", "level" : "intermediate" }, { "name" : "Manufacturing", "level" : "intermediate" }, { "name" : "Material flow", "level" : "intermediate" }, { "name" : "Construction", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Decision-making" } ], "majorSkills" : "Factory design, Manufacturing, Project management", "majorSkillsList" : [ "Factory design", "Manufacturing", "Project management" ], "coreResponsibilities" : "Lead factory design, Lead design execution, Connect engineering, manufacturing, construction, operations, Manage change request process, Vet project requirements, Organize project documentation, Facilitate team communication, Create design schedule, Manage design schedule, Track project status, Track open items, Unblock project issues, Hold team accountable, Organize design review meetings, Set design review agenda, Take design review notes, Assign design review action items, Verify task completion, Manage design consultant contract, Write RFPs, Hold touch base meetings, Approve invoices, Track consultant performance, File design drawings, File design specs, File design reports, Collaborate with procurement, Collaborate with project manager", "teamCollaboration" : "Cross-functional teams; Senior leadership; Design consultants; Procurement; Project manager", "projectManagementSkills" : [ "Project management fundamentals", "Program management fundamentals" ], "domainKnowledge" : "Battery manufacturing; Energy storage; Iron-air batteries; High-volume manufacturing", "domainList" : [ "battery-manufacturing", "energy-storage", "iron-air-batteries", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Battery manufacturing", "Energy storage", "Iron-air batteries", "High-volume manufacturing" ], "toolProficiency" : [ "Procore" ], "communicationSkills" : "Documentation skills; Clear plan communication", "documentationSkills" : "Documentation skills; Technical documentation", "innovationCreativity" : "First-principles thinking", "problemSolvingSkills" : "Complex problem solving", "qualificationsBasic" : "5+ years engineering experience, 5+ years manufacturing experience, 5+ years industrial projects experience, Expertise in factory design, Expertise in manufacturing, Expertise in material flow, Expertise in construction, Advanced project management skills, Experience managing conflicting objectives, Experience managing compressed timelines", "qualificationsPreferred" : "Relocation assistance available", "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION We are seeking an exceptional Design Manager to lead the design and execution of our first-of-its-kind battery factory. Working closely with senior leadership, you will connect the dots between engineering, manufacturing, construction, and operations to keep our highest-priority timelines on track. This is a true blank-slate opportunity. By applying first-principles thinking, you will help us treat Form Factory as a fully integrated product, ultimately enabling the most advanced high-volume battery manufacturing facility in the world. Relocation assistance is available. WHAT YOU'LL DO: - Be the bridge between factory engineering / production and the facility design team. - Manage the change request process from the inputs phase through design acceptance. - Vet and organize all of the project requirements and documentation. - Facilitate communication between all team members. - Create and manage the design schedule for each project. - Track the status and open items for each project. Unblock issues slowing down the project to stay on schedule. - Hold all team members accountable for completing their required tasks. - Organize design review meetings: set the agenda, take notes, assign action items, and verify completion of the tasks. - Manage the contract for design consultants: write RFPs for design service, hold touch base meetings, approve invoices, track performance, ect. - File design related drawings, specs, reports, and similar information in Procore. - Collaborate with procurement and the project manager for execution to determine the most WHAT YOU'LL BRING: - 5+ years of engineering experience on manufacturing and industrial projects from concept to delivery. - Expertise in factory design, manufacturing, material flow and construction. - Advanced project management skills and demonstrated application of project and program management fundamentals to complex engineering problems. - Excellent communication and documentation skills with the ability to understand complex problems and distill the message into a clear plan. - Outstanding organizational, communication, leadership, interpersonal and decision-making abilities. - Experience managing conflicting objectives and compressed timelines within complex industrial project execution. - Exceptional drive, sense of ownership and resourcefulness. - Positive mindset and a passion for manufacturing infrastructure. - Thrives under pressure and in ambiguous environments. WHERE YOU'LL WORK: This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available. [Remote or CO jobs - add] Applications will be accepted until the job is filled. [Pick correct location tag] #LI-Remote, #LI-Hybrid, #LI-Onsite [If this role should NOT pull into LinkedIn] #LI-DNI [Pick correct recruiter tag] Nicole Myers (she/her) - #LI-NM1 Julia Peterson - #LI-JP1 Andrew Duquet - #LI-AD1 Lienne Ng - #LI-LN1 Carolina Barbachano - #LI-CB1 Andrew Cassara - #LI-AC1 Tyler Roush - #LI-TR1 Dan Leiser - #LI-DL1 Joe Montgomery - #LI-JM2 Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Factory Design Manager at Form Energy. Skills: Factory design, Manufacturing, Project management. Lead factory design. Lead design execution", "createdAt" : "2026-06-14T04:06:28.771", "lastUpdated" : "2026-06-15T13:48:19.505", "ingestTimestamp" : "2026-06-14T04:06:28.771", "mongoId" : "6a2cb01a74d8ee00a09d8d67", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 215000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Factory design", "Manufacturing", "Material flow", "Construction", "Project management", "Leadership", "Decision-making", "Project management fundamentals", "Engineering problem solving", "Program management fundamentals", "Battery manufacturing", "Energy storage", "Iron-air batteries", "High-volume manufacturing", "Procore" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059acf292fd229cf49df3", "title" : "Factory Operator- (BANDSAW Experience WANTED!!)", "company" : "NOX Metals", "industry" : "Operations", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Factory Operator in Detroit, with adjustments for mid-seniority and the manufacturing industry." }, "location" : "Detroit", "locations" : [ "Detroit" ], "certifications" : [ "Forklift certification", "Overhead crane certification" ], "timestamp" : "2026-06-16T10:55:43.744", "fingerprint" : "ff9be89e1d8f57fc7436747a9ee5145bfb59455e15632d2ea8c99d2d5cc6ffad", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nox-metals/c68370c6-a52a-4112-9fe4-9ddaa8385eda/application", "externalId" : "c68370c6-a52a-4112-9fe4-9ddaa8385eda", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Detroit", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3315509,-83.0466403" } ], "locationText" : "Detroit, Michigan, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Bandsaw operation", "Material handling" ], "hardSkills" : [ { "name" : "Bandsaw operation", "level" : "intermediate" }, { "name" : "Material handling", "level" : "intermediate" } ], "majorSkills" : "Bandsaw operation, Quality inspection", "majorSkillsList" : [ "Bandsaw operation", "Quality inspection" ], "coreResponsibilities" : "Operate industrial bandsaws, Cut aluminum plate, Cut aluminum bar, Cut aluminum rounds, Read cut lists accurately, Measure finished pieces, Verify finished pieces, Load material, Unload material, Inspect cuts for quality, Flag non-conforming material, Package finished orders, Label finished orders, Stage finished orders, Perform machine maintenance, Keep work area clean, Log job completions", "domainKnowledge" : "Aerospace supply chain; Defense supply chain", "domainList" : [ "aerospace-supply-chain", "defense-supply-chain" ], "domainSpecificKnowledge" : [ "Aerospace supply chain", "Defense supply chain" ], "toolProficiency" : [ "Forklifts", "Overhead cranes" ], "specialRequirements" : "Physically capable of working on feet, Work 24/7 schedule", "outcomesObjectives" : "Cut aluminum to customer spec; Cut accurately every time; Ship quality cuts", "qualificationsBasic" : "Operate industrial bandsaws, Read and execute cut lists, Measure and verify finished pieces, Load and unload material, Inspect cuts for quality, Package, label, and stage orders, Perform basic machine maintenance, Log job completions, Read a tape measure, Work to tight tolerances, Reliable and physically capable", "qualificationsPreferred" : "Experience cutting aluminum, Forklift certification, Overhead crane certification, Familiarity with aerospace quality standards, Familiarity with defense quality standards", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Bandsaw Operator Detroit, MI · Full-Time · Competitive Pay + Equity NOX Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to move metal faster than the industry thought possible. We run 24/7 and we are growing. If you can operate a bandsaw and take pride in cutting it right the first time, we want to talk. You will: - Operate industrial bandsaws to cut aluminum plate, bar, and rounds to customer spec - Read and execute cut lists accurately — every cut, every order - Measure and verify finished pieces against job requirements - Load and unload material using forklifts and overhead cranes - Inspect cuts for quality and flag any non-conforming material - Package, label, and stage finished orders for shipment - Perform basic machine maintenance and keep your work area clean - Log job completions in our software system You are: - Experienced on industrial bandsaws or similar cutting equipment - Able to read a tape measure and work to tight tolerances - Detail-oriented — you do not ship a bad cut - Reliable and physically capable of working on your feet for a full shift - Someone who takes ownership of their machine and their work Nice to have: - Experience cutting aluminum or other non-ferrous metals - Forklift and/or overhead crane certification - Familiarity with aerospace or defense supply chain quality standards Competitive pay + company equity. Apply at jobs.ashbyhq.com/nox-metals http://jobs.ashbyhq.com/nox-metals", "summaryDescription" : "Factory Operator- (BANDSAW Experience WANTED!!) at NOX Metals. Skills: Bandsaw operation, Quality inspection. Operate industrial bandsaws. Cut aluminum plate", "createdAt" : "2026-06-16T00:29:18.829", "lastUpdated" : "2026-06-16T10:55:43.744", "ingestTimestamp" : "2026-06-16T00:29:18.829", "mongoId" : "6a3059acf292fd229cf49df3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Bandsaw operation", "Material handling", "Quality inspection", "Aerospace supply chain", "Defense supply chain", "Forklift certification", "Overhead crane certification", "Forklifts", "Overhead cranes" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30593bf292fd229cf45ffc", "title" : "Factory Planning and Expansion Lead", "company" : "Skydio", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Factory Planning and Expansion Lead in Hayward, United States, adjusted for the technology industry and company size." }, "location" : "Hayward, California, United States", "locations" : [ "Hayward, California, United States" ], "timestamp" : "2026-06-16T15:08:35.224", "fingerprint" : "ae34dc0bd2f34ed9505c9a46ab32f3ef94c586bfda6164d112e3fe6fff34feb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skydio/d5e0daff-ea01-43e4-ad9d-b43f61a0f79d/application", "externalId" : "d5e0daff-ea01-43e4-ad9d-b43f61a0f79d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hayward", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6688205,-122.0807960" } ], "locationText" : "Hayward, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "rawDescription" : "Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the role: We are seeking a highly experienced Factory Planning & Expansion Lead to drive the end-to-end planning, factory layout, and support construction of new manufacturing facilities and expansions of existing sites. This role is heavily focused on factory design, layouts, and space planning requiring deep expertise in capital projects, site development, contractor management, and industrial building systems. You will lead complex, large-scale factory design from concept through commissioning, ensuring projects are delivered on time, within budget, and to operational requirements. How you'll make an impact: Factory Expansion & Construction Leadership - Support as needed all phases of factory expansion projects, including site selection support, feasibility, design coordination, construction, and commissioning - Serve as the owner’s representative for all construction activities, ensuring alignment with business and production goals - Develop and manage project scopes, schedules, budgets, and capital expenditure plans as it pertains to factory equipment and facility requirements Construction Management - Support as needed general contractors, subcontractors, architects, and engineering firms - Support construction execution, including site development, civil works, structural, MEP (mechanical, electrical, plumbing), and utilities infrastructure - Conduct regular site inspections to monitor progress, quality, and safety compliance to ensure ensure factory deliverables Design & Planning Integration - Collaborate with manufacturing, process engineering, and operations teams to translate production needs into facility requirements - Ensure factory layouts, workflows, and utilities are integrated into construction plans - Review and approve design drawings, specifications, and construction documents Project Delivery & Controls - Implement strong project governance, including risk management, cost control, and schedule tracking - Identify and mitigate construction risks, delays, and cost overruns Commissioning & Handover - Oversee commissioning of facilities, ensuring readiness for manufacturing operations - Drive punch list completion, final inspections, and occupancy approvals - Ensure smooth transition from construction to operations What makes you a strong fit: - Bachelor’s degree in Construction Management, Civil Engineering, Architecture, or related field (Master’s preferred) - 10+ years of experience in industrial construction or capital projects, with significant exposure to aerospace or high-spec manufacturing environments - Proven track record delivering large-scale manufacturing facilities, hangars, or precision production spaces - Strong expertise in construction project management, contracts, and site execution - Deep understanding of industrial building systems (MEP, utilities, clean rooms, etc. as applicable) - Experience working in fast-paced, high-growth manufacturing environments is a plus - Previous industrial experience, mechanical & infrastructure intense projects - Experience with factory automation or advanced manufacturing environments - Familiarity with lean factory design or production flow optimization - Experience with sustainability, energy systems, or green building standards (LEED, etc.) - Strong knowledge of industrial factory design, MEP systems, and site development Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $147,000 - $210,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-JC1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/", "summaryDescription" : "Factory Planning and Expansion Lead at Skydio", "createdAt" : "2026-06-16T00:29:40.432", "lastUpdated" : "2026-06-16T15:08:35.224", "ingestTimestamp" : "2026-06-16T00:29:40.432", "mongoId" : "6a30593bf292fd229cf45ffc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b035374d8ee00a074f226", "title" : "Operating System Software Programmer", "company" : "NC State Highway Patrol", "salary" : { "min" : 81504.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Wake County, NC", "locations" : [ "Wake County, NC", "United States of America" ], "certifications" : [ "Microsoft Certified: Security Operations Analyst Associate", "Microsoft Certified: Identity and Access Administrator Associate" ], "timestamp" : "2026-06-15T00:47:14.531", "fingerprint" : "5e87e6c82d677c48f1c9d938795e83890b93784171225c7144dbf5be1ccd5e1f", "source" : "workday", "language" : "en", "applyUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Operating-System-Software-Programmer_JR-109637", "externalId" : "JR-109637", "locationPoint" : "34.81156,134.14264", "structuredLocations" : [ { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "North Carolina, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft 365 Defender, Azure Security Center, Microsoft Sentinel, Azure Active Directory, MFA, PowerShell, Azure, Windows Server, VMware, Active Directory", "professionalSkills" : [ "Security administration", "System design", "Risk assessment", "Compliance management", "Server administration", "Troubleshooting", "System improvements" ], "hardSkillsList" : [ "Security implementation", "Vulnerability assessment", "Incident response", "Root-cause analysis", "Server management", "Disaster recovery planning" ], "softSkillsList" : [ "Independent work", "Collaborative work", "Interpersonal skills", "Professional relationships" ], "hardSkills" : [ { "name" : "Security implementation", "level" : "intermediate" }, { "name" : "Vulnerability assessment", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" }, { "name" : "Server management", "level" : "intermediate" }, { "name" : "Disaster recovery planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent work" }, { "name" : "Collaborative work" }, { "name" : "Interpersonal skills" }, { "name" : "Professional relationships" } ], "majorSkills" : "Security administration, Microsoft environments, CJIS Security Policy", "majorSkillsList" : [ "Security administration", "Microsoft environments", "CJIS Security Policy" ], "coreResponsibilities" : "Plan security measures, Implement security measures, Manage security measures, Ensure compliance with CJIS Security Policy, Mitigate risks, Support secure server operations, Uphold standards, Uphold regulatory requirements, Analyze systems, Design systems, Document systems, Support operations, Reinforce security, Support server administration, Assist with routine maintenance, Assist with configuration, Assist with troubleshooting, Ensure optimal performance, Ensure reliability, Design Microsoft security solutions, Deploy Microsoft security solutions, Maintain Microsoft security solutions, Safeguard server infrastructure, Safeguard sensitive data, Configure Identity and Access Management, Manage Identity and Access Management, Protect user accounts, Restrict unauthorized access, Ensure server adherence to CJIS Security Policy, Maintain regulatory compliance, Maintain data integrity, Conduct regular security audits, Conduct vulnerability assessments, Conduct compliance checks, Identify risks, Address risks, Monitor security alerts, Monitor system logs, Detect threats, Respond to threats, Lead investigations, Coordinate responses to security incidents, Ensure timely resolution, Document security incidents, Implement preventive measures, Identify recurring security issues, Perform root-cause analysis, Design solutions to mitigate risks, Provide secure administration, Provide operational support, Ensure alignment with security best practices, Ensure alignment with compliance mandates", "teamCollaboration" : "Collaborating with IT teams; Work independently; Work collaboratively", "domainKnowledge" : "CJIS Security Policy; Law enforcement data protection; Public safety environments", "domainList" : [ "cjis-security-policy", "law-enforcement-data-protection", "public-safety-environments" ], "domainSpecificKnowledge" : [ "CJIS Security Policy", "Law enforcement data protection", "Public safety environments" ], "toolProficiency" : [ "Microsoft 365 Defender", "Azure Security Center", "Microsoft Sentinel", "Azure Active Directory", "MFA", "Conditional Access Policies", "SIEM tools" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Documentation", "innovationCreativity" : "Apply emerging technologies", "problemSolvingSkills" : "Assess organizational challenges; Assess procedural challenges; Implement system improvements; Root-cause analysis", "qualificationsBasic" : "Microsoft Certified: Security Operations Analyst Associate, Microsoft Certified: Identity and Access Administrator Associate, Experience with PowerShell scripting, Knowledge of Zero Trust architecture, Knowledge of Microsoft security technologies, Familiarity with CJIS Security Policy, Experience with Azure Active Directory, Experience with MFA, Experience with Conditional Access, Thorough knowledge of modern server management, Knowledge of secure system administration practices, Analytical skills, Ability to apply current and emerging technologies, Ability to work independently, Ability to work collaboratively, Interpersonal skills, Commitment to maintaining positive working relationships, Excellent written communication skills, Excellent verbal communication skills", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Agency** NC State Highway Patrol **Division** NC State Highway Patrol **Job Classification Title** Operating Systems Software Programmer I (S) **Position Number** 65043076 **Grade** DT09 **About Us** The North Carolina State Highway Patrol's primary mission is to reduce collisions and make the highways of North Carolina as safe as possible. The NCSHP has more than 1,600 troopers who cover nearly 80,000 miles of North Carolina roadways, more than any other state except Texas. In addition to enforcing the state's traffic laws, state troopers also guide traffic during hurricane evacuations, re-route traffic around hazardous chemical spills, and they stand ready should any act of terrorism occur. State Troopers are committed to protecting North Carolina's motoring public. **Description of Work** The NC State Highway Patrol is seeking an enthusiastic team member to join our Technical Services Unit as an Operating Systems Software Programmer. The Operating Systems Software Programmer position is primarily responsible for the security administration of the Highway Patrol’s statewide server infrastructure. Key responsibilities include planning, implementing, and managing security measures within Microsoft environments (Azure, 365, Windows Server), ensuring compliance with CJIS Security Policy and state regulations, and mitigating risks. The role focuses on supporting secure server operations by collaborating with IT teams to uphold standards and regulatory requirements, alongside tasks such as analysis, design, documentation, and operational support that reinforce security across all systems. In addition to these core duties, the position also supports server administration as a secondary responsibility, assisting with routine maintenance, configuration, and troubleshooting to ensure optimal performance and reliability across the statewide infrastructure. **Knowledge Skills and Abilities/Management Preferences** # # **** This is a repost. Previous applicants are still being considered and do NOT need to reapply. **** # # Salary Range: $81,504-$115,000 Salary Grade: DT09 # **Click** [**here**](https://oshr.nc.gov/state-employee-resources/benefits) **to** **learn** **about** **employee** **perks** **and** **benefits** **Click** [**here**](https://oshr.nc.gov/state-employee-resources/classification-compensation/total-compensation-calculator) **to** **see** **the** **Total** **Compensation** **Calculator** ** _This position is located at:_** 3118 Garner Road Raleigh, NC 27610 # **To receive credit for your work history and credentials, you must provide the information on the application form. Any information omitted from the application form, listed as general statements, listed under the text resume section, or on an attachment will not be considered for qualifying credit.** **Management Prefers: ** * **Microsoft Certified: Security Operations Analyst Associate or Microsoft Certified: Identity and Access Administrator Associate.** * Experience with PowerShell scripting for automation. * Knowledge of Zero Trust architecture. * Strong knowledge of Microsoft security technologies (Defender, Sentinel, Azure Security Center). * Familiarity with CJIS Security Policy and law enforcement data protection requirements. * Experience with Azure Active Directory, MFA, and Conditional Access. * Thorough knowledge of modern server management principles, methodologies, and best practices * Knowledge of secure system administration practices within regulated or public safety environments. * Strong analytical skills with the ability to assess organizational and procedural challenges and implement effective system improvements * Ability to apply current and emerging technologies to enhance IT services and support agency goals * Ability to work independently and collaboratively with minimal supervision * Strong interpersonal skills and a commitment to maintaining positive, professional working relationships * Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical users # ** _Key Responsibilities include but are not limited to:_** * Security Architecture, Implementation & Compliance * Design, deploy, and maintain Microsoft security solutions—including Microsoft 365 Defender, Azure Security Center, and Microsoft Sentinel—to safeguard server infrastructure and sensitive law enforcement data. * Configure and manage Identity and Access Management (IAM) using Azure Active Directory (AAD), Conditional Access Policies, and Multi-Factor Authentication (MFA) to protect user accounts and restrict unauthorized access. * Ensure all servers and systems strictly adhere to CJIS Security Policy requirements, including encryption, authentication, and auditing, to maintain regulatory compliance and data integrity. * Conduct regular security audits, vulnerability assessments, and compliance checks to proactively identify and address risks across the server environment. * · Security Monitoring & Incident Response * Monitor security alerts and system logs using Microsoft Sentinel and other SIEM tools to detect and respond swiftly to threats impacting server operations. * Lead investigations and coordinate responses to security incidents involving servers and IT infrastructure, ensuring timely resolution, thorough documentation, and implementation of preventive measures. * Identify recurring security issues affecting server environments, perform root-cause analysis, and design solutions to mitigate future risks. · Secure Server Administration * Provide secure administration and operational support for enterprise IT services—including email systems, data storage platforms, VMware virtualization, Active Directory, and disaster recovery planning—while ensuring all activities align with security best practices and compliance mandates. * Oversee software and hardware installations and support proprietary and third-party applications, with a focus on minimizing vulnerabilities and strengthening system defenses. * · IT Project Management with Security Focus * Manage moderate to complex IT projects or project components related to security and server administration, including requirements gathering, secure design, implementation, and comprehensive documentation. * · Technical Consultation & Collaboration * Provide expert security guidance and technical support to field users and Technical Services Unit peers, promoting secure server operations and best practices. * Collaborate with internal teams to identify trends in hardware and software failures, lead resolution efforts, and champion security improvements across the infrastructure. * Prepare detailed technical reports and present information in clear, concise written, oral, and presentation formats, emphasizing security findings and recommendations. # **_Position/Physical Requirements:_** * ## Typical work schedule: Monday-Friday; 8:00am-5:00pm (based on department needs) * ## Position may require work during nights and/or weekends for maintenance or outage response * ## Subject to emergency callback at any time during employment * ## **This position regularly drives a state-owned vehicle which requires a valid driver’s license issued from within the United States. ** ## __Note: Qualified recommended applicant(s) must undergo and successfully pass:__ ## ·Criminal Background Investigation ## ·Drug Screening Test **Please note: Job postings close at 11:59:59 p.m. the night before the listed Posting End Date above.** **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. Bachelor’s degree in computer science or an IT related field or a closely related field from an appropriately accredited institution and three years of progressive experience in systems software programming; **OR** Associate degree in computer science or an IT related field or a closely related field from an appropriately accredited institution and four years of progressive experience in systems software programming; **OR** an equivalent combination of education and experience. **The NC State Highway Patrol (NCSHP)** selects applicants for employment based on required education and experience and job-related knowledge, skills, and abilities without regard to race, religion, color, national origin, sex, pregnancy, gender identity or expression, sexual orientation, age (40 or older), disability, National Guard or veteran status, genetic information, political affiliation, or political influence. [https://www.ncshp.gov](https://www.ncshp.gov/) **The Mission of the North Carolina State Highway Patrol** is to protect our State with integrity, loyalty, and professionalism. The North Carolina State Highway Patrol will excel as a national leader in public service through innovative law enforcement, strategic preparedness, and community engagement. The Highway Patrol’s **Technical Services Unit** supports all information technology needs of the organization and enables the Patrol’s public safety mission through secure, reliable, and resilient IT services. We are an [Employment First](https://oshr.nc.gov/state-employee-resources/diversity-inclusion/resources/employment-first) state, ensuring that people with disabilities have equal opportunities to succeed in the state government workplace. NCSHP supports pay equity for women, establish paid parental leave for birth, adoption, and foster care, and implement fair chance policies. Join a team that welcomes, values, respects and supports all members of our work community. _Application Resources_ State of North Carolina Hiring Process Information [here](https://oshr.nc.gov/work-nc/state-government-application-resources). Be sure to complete the application in full. Resumes may be uploaded with your application but will not be accepted in lieu of a fully completed application and will not be considered for qualifying credit. \"See Resume\" or \"See Attachment\" will _NOT_ be accepted. Information should be provided in the appropriate areas, to include the following: Education, including high school and all degrees obtained, Work Experience, and Certificates & Licenses. It is critical to our screening and salary determination process that applications contain comprehensive candidate information. Answers to Supplemental Questions are not a substitute for providing all relevant information within the body of your application. To receive credit for the supplemental questions, you must provide supporting information within the \"Work Experience\" section of the application, to support your answers. If multiple applications are submitted to an individual posting, only the most recent application received prior to the closing date will be accepted. All applicants must complete and submit a state application for employment using the **_Oline Application System_** for the State of North Carolina by **_11:59pm on the night before the closing date_** listed or the application will be deemed untimely and will not be processed. **Please make sure that you have entered all necessary information on your application. Once you hit submit you will not be able to edit or reapply to this position to add information or attachments even if you withdraw your application.** Due to the volume of applications received, we are unable to provide information regarding the status of your application over the phone. To check the status of your application, please log in to your account. Upon the closing date, applications are \"Under Review\" and will be screened by Human Resources for the qualified applicants. The hiring process may take several weeks. _Degree/College Credit Verification_ Degrees must be received from appropriately accredited institutions. Transcripts, and degree evaluations may be uploaded with your application. If you have student loans, becoming a state employee includes eligibility for the Public Service Loan Forgiveness Program. Visit [www.studentaid.gov](http://www.studentaid.gov/) to learn more. _Veteran’s and National Guard Preference_ Applicants seeking Veteran’s Preference must attach a DD Form 214, Certificate of Release or Discharge from Active Duty, along with the state application. Applicants seeking National Guard Preference must attach an NGB 23A (RPAS), along with the state application if they are a current member of the NC National Guard in good standing. Applicants who are former member of either the NC Army National Guard or the NC Air National Guard, with honorable discharge and six years of creditable service must attach a copy of the DD 256 or NGB 22, along with the state application. _ADA Accommodations_ Consistent with the Americans with Disabilities Act (ADA) and the Pregnant Workers Fairness Act (PWFA), NCSHP is committed to the full inclusion of all qualified individuals. As part of this commitment, NCSHP will ensure that persons with disabilities, or known limitations covered by the PWFA, are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, please contact the person indicated below. _Employment Eligibility_ It is the policy of the State of North Carolina and NCSHP that all employees provide proof of employment eligibility (immigration and naturalization) before or on the first day of employment. We participate in E-Verify (Employment Eligibility Verification System). **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Angela Anita Avant-Jones **Recruiter Email:** ANGELA.AVANT-JONES@NCSHP.GOV", "summaryDescription" : "Operating System Software Programmer at NC State Highway Patrol. Skills: Security administration, Microsoft environments, CJIS Security Policy. Plan security measures. Implement security measures", "postedDate" : "2026-06-11T05:12:05.710", "createdAt" : "2026-06-12T05:12:05.643", "lastUpdated" : "2026-06-15T00:47:14.531", "ingestTimestamp" : "2026-06-12T05:12:05.643", "mongoId" : "6a2b035374d8ee00a074f226", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Operating-System-Software-Programmer_JR-109637", "salaryAnnualMin" : 81504, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Security implementation", "Vulnerability assessment", "Incident response", "Root-cause analysis", "Server management", "Disaster recovery planning", "Independent work", "Collaborative work", "Interpersonal skills", "Professional relationships", "Security administration", "Microsoft environments", "CJIS Security Policy", "System design", "Risk assessment", "Compliance management", "Server administration", "Troubleshooting", "System improvements", "Law enforcement data protection", "Public safety environments", "Microsoft Certified: Security Operations Analyst Associate", "Microsoft Certified: Identity and Access Administrator Associate", "Microsoft 365 Defender", "Azure Security Center", "Microsoft Sentinel", "Azure Active Directory", "MFA", "Conditional Access Policies", "SIEM tools" ], "skillCount" : 30, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a191d8c58b93c861e396894", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 650000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Los Angeles, USA, adjusted for the manufacturing industry and company size." }, "location" : "Los Angeles, CA", "locations" : [ "Los Angeles", "CA" ], "timestamp" : "2026-06-16T01:23:46.884", "fingerprint" : "b3a9715c3079b82d5e60b0fc874e0da57ae61b45636ebfbd846c282c03aec42b", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/4012ddb00884-chief-operating-officer-heavy-equipment", "externalId" : "4012ddb00884", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" } ], "majorSkills" : "Operations management, Continuous improvement", "majorSkillsList" : [ "Operations management", "Continuous improvement" ], "coreResponsibilities" : "Oversee daily operations, Develop operational strategies, Manage operational budgets, Implement process improvements, Ensure operational efficiency, Lead operational teams, Monitor operational performance, Manage vendor relationships, Coordinate with cross-functional teams, Develop resource plans, Drive continuous improvement initiatives", "teamCollaboration" : "Cross-functional teams; Vendor relationships", "domainKnowledge" : "Heavy equipment industry; Construction market; Infrastructure market; Industrial markets", "domainList" : [ "heavy-equipment-industry", "construction-market", "infrastructure-market", "industrial-markets" ], "domainSpecificKnowledge" : [ "Heavy equipment industry", "Construction market", "Infrastructure market", "Industrial markets" ], "qualificationsBasic" : "5+ years operations experience, Experience in heavy equipment industry", "qualificationsPreferred" : "MBA preferred, Experience in construction market", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. 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Develop and implement operational strategies", "createdAt" : "2026-06-14T18:38:15.328", "lastUpdated" : "2026-06-16T01:37:03.488", "ingestTimestamp" : "2026-06-14T18:38:15.328", "mongoId" : "6a191d8c58b93c861e396890", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Operations management", "Strategic planning", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Heavy equipment industry", "Construction market", "Infrastructure market", "Industrial markets" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c929574d8ee00a0986372", "title" : "Join our Talent Community!", "company" : "IMI Industrial", "industry" : "Manufacturing", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level manufacturing roles in Franklin, United States, with adjustments for company size and industry." }, "location" : "Franklin, Tennessee, United States", "locations" : [ "Franklin", "Tennessee", "United States" ], "timestamp" : "2026-06-15T06:55:45.156", "fingerprint" : "855ab51ddb7a0359b6dec8ad0f296ef78102df58f73e50a9cc729faff0dd1aae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/imi/jobs/6088727003", "externalId" : "6088727003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Franklin", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.9252060,-86.8689419" } ], "locationText" : "Franklin, Tennessee, United States", "professionalSkills" : [ "Problem solving" ], "softSkillsList" : [ "Critical thinking" ], "softSkills" : [ { "name" : "Critical thinking" } ], "coreResponsibilities" : "Provide millwright services, Provide fabrication services, Hire great people, Develop great people, Build relationships", "outcomesObjectives" : "Exceed customer expectations", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join our Talent Community! IMI Industrial has been providing millwright and fabrication services since 1986 and is known in the industry for our quality workmanship, dedication to safety, and strong client relationships. We’re a team of good people who think critically, work hard, and solve problems in an effort to exceed customer expectations. We’re equally committed to creating an excellent employment experience for our team members. We work hard to hire and develop great people and build relationships, and we pride ourselves on our culture of safety and quality. We also aim to ensure that the programs and services we offer our team are among the best in the business. We offer competitive salaries, 401k, and health benefits as well as company holidays and competitive time-off plans. More reasons to join our team:    We pride ourselves in our family-like culture and casual, but focused, work environment    We offer competitive salaries and health benefits    Our 401K program includes a 100% match up to 5%    We offer our employees flexibility and autonomy    We do community outreach projects throughout the year    We know how to throw company events    We work hard, but we also know how to have fun - darts, anyone? Individuals seeking employment at IMI Industrial/Designed Conveyor Systems are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Accommodation is available to applicants with a disability condition, when applying, testing, or interviewing for a position. Please let us know if you need accommodation.", "summaryDescription" : "Join our Talent Community! at IMI Industrial. Provide millwright services. Provide fabrication services", "postedDate" : "2026-06-14T03:28:34.465", "createdAt" : "2026-06-14T03:28:34.465", "lastUpdated" : "2026-06-15T06:55:45.156", "ingestTimestamp" : "2026-06-14T03:28:34.465", "mongoId" : "6a2c929574d8ee00a0986372", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Critical thinking", "Problem solving" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ac5ff74d8ee00a0704482", "title" : "Insurance Follow-Up Specialist", "company" : "IVX Health", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Insurance Follow-Up Specialist in Virginia Beach, adjusted for mid-seniority and full-time employment in the healthcare industry." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-14T20:08:33.001", "fingerprint" : "7e9cef6380afb776fe4b3cb5eea697c744e47a929ffcfc598bcd34b7ed5a2324", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ivxhealth/jobs/4279262009", "externalId" : "4279262009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Microsoft Office Suite, Outlook, Teams, Excel", "professionalSkills" : [ "Insurance follow-up", "Claim resolution", "Revenue cycle management" ], "hardSkillsList" : [ "ICD-10", "CPT", "HCPCS", "Payer policy", "Reimbursement regulations", "Managed care contracts", "Denial resolution strategies" ], "softSkillsList" : [ "Analytical skills", "Critical thinking skills" ], "hardSkills" : [ { "name" : "ICD-10", "level" : "intermediate" }, { "name" : "CPT", "level" : "intermediate" }, { "name" : "HCPCS", "level" : "intermediate" }, { "name" : "Payer policy", "level" : "intermediate" }, { "name" : "Reimbursement regulations", "level" : "intermediate" }, { "name" : "Managed care contracts", "level" : "intermediate" }, { "name" : "Denial resolution strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Critical thinking skills" } ], "majorSkills" : "Insurance claims, Medicare collections, Denial resolution", "majorSkillsList" : [ "Insurance claims", "Medicare collections", "Denial resolution" ], "coreResponsibilities" : "Investigate insurance claim denials, Resolve insurance claim denials, Partner with payers, Resolve payer issues, Secure timely reimbursement, Interpret LCD/NCD requirements, Manage CPT/HCPCS-related denials, Coordinate with front desk teams, Coordinate with authorization teams, Reduce delays, Optimize collections, Provide phone support to patients, Provide phone support to insurance companies, Provide phone support to internal teams, Work in payer portals, Ensure efficient claim submission, Deliver timely follow-up, Deliver compliant follow-up, Meet revenue cycle goals", "teamCollaboration" : "Front desk teams; Authorization teams; Internal teams", "domainKnowledge" : "Specialty drug coverage; Payer policy nuances; Reimbursement regulations; Managed care contracts", "domainList" : [ "specialty-drug-coverage", "payer-policy-nuances", "reimbursement-regulations", "managed-care-contracts" ], "domainSpecificKnowledge" : [ "Specialty drug coverage", "Payer policy nuances", "Reimbursement regulations", "Managed care contracts" ], "toolProficiency" : [ "NaviNet", "Availity", "Medicare portals", "Clearinghouses" ], "problemSolvingSkills" : "Analytical skills; Critical thinking skills", "outcomesObjectives" : "Meet revenue cycle goals", "qualificationsBasic" : "5+ years healthcare billing, 5+ years claims, 5+ years insurance follow-up, Hands-on Medicare collections, Proficient in Microsoft Office Suite", "qualificationsPreferred" : "Success in collections with Blue Cross payers, Experience with Medicare portals, Experience filing Medicare determinations, Experience filing Medicare appeals, Experience with Medicaid, Experience with other commercial insurance plans", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Remote (U.S.) | Full-Time | Monday–Friday | Standard Business Hours Hybrid Optional if Local – Office Located in Brentwood, TN At IVX Health, we’re reimagining what exceptional care looks like—and that vision extends far beyond the clinical setting. Our Insurance Follow Up Specialists are a vital part of the patient care journey, ensuring that every claim is handled with precision, empathy, and a clear understanding of how billing impacts both access to care and peace of mind. This Full Time role is part of our Billing Operations team and offers the flexibility to work fully remote or hybrid—with the option to work in-office if you’re local and prefer it. We prioritize work-life balance and a culture of support, recognizing that behind every claim is a patient counting on us to make care happen. Note: This is a remote position open to candidates across the U. S. Local candidates may also opt to work from our Brentwood, TN office. What You’ll Do Investigate and resolve insurance claim denials with speed and accuracy—typically 50 to 100 denials daily. Partner with payers to resolve issues and secure timely reimbursement. Interpret LCD/NCD requirements and manage CPT/HCPCS-related denials. Coordinate with front desk and authorization teams to reduce delays and optimize collections. Provide top-tier phone support to patients, insurance companies, and internal teams. Work in payer portals (NaviNet, Availity, Medicare portals, and others) and clearinghouses to ensure efficient claim submission. Deliver timely and compliant follow-up to meet revenue cycle goals. What We’re Looking For 5+ years’ experience in healthcare billing, claims, or insurance follow-up. Strong knowledge of ICD-10, CPT, HCPCS, and payer policy nuances. Hands-on experience with Medicare collections for specialty drug coverage, including using Medicare portals and filing determinations and appeals. Proven success in collections with Blue Cross payers, including BCBS FL, Independence BC, and BCBS TX preferred Experience working with Medicaid and other commercial insurance plans. Familiarity with reimbursement regulations, managed care contracts, and denial resolution strategies. Detail-oriented with strong analytical and critical thinking skills. Proficient in Microsoft Office Suite (Outlook, Teams, Excel, etc.). A team player with a proactive mindset and a passion for patient-centered outcomes. Why IVX Health IVX Health is a national provider of infusion and injection therapy for individuals managing complex chronic conditions like rheumatoid arthritis, Crohn’s disease, and multiple sclerosis. We’re redefining the care experience with an emphasis on comfort, convenience, and compassion. We believe the best patient experience starts with a great employee experience. That’s why we foster a culture of respect, empowerment, and shared purpose—living out our values every day: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride. Whether you're face-to-face with patients or supporting operations behind the scenes, at IVX Health, your work makes a meaningful difference. Pay is based on factors such as market location, job-related knowledge, skills, and experience, and is benchmarked against similar organizations in our size and industry. It is not typical for an individual to be hired at or near the top of the posted range, as compensation decisions depend on the facts and circumstances of each case. In addition to cash pay, full-time regular employees are eligible for 401(k), health benefits, and other company-provided benefits. Insurance Follow-Up Pay Range $22—$25 USD About IVX Health IVX Health is a national provider of infusion and injection therapy for individuals managing chronic conditions like Rheumatoid Arthritis, Crohn's Disease, and Multiple Sclerosis. We’re transforming the way care is delivered with a focus on patient comfort and convenience. Our commitment to exceptional care extends to our employees as well—we empower our team to thrive while living our core values: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride. Our Mission: To improve the lives of those we care for by redefining the care experience Our Vision: To be the nation’s preferred destination for pharmaceutical care of complex chronic conditions Our Commitment: To deliver an unmatched care experience with a foundation in world class service and clinical excellence Benefits We Offer Comprehensive Healthcare – Medical, dental, and vision coverage, including prescription drug plans and telemedicine services. Flexible Savings Options – Choose from Health Savings Accounts (HSA) and Health Reimbursement Arrangements (HRA) to manage healthcare costs. Supplemental Protection – Accident, critical illness, and hospital indemnity plans to provide additional financial security. Dependent Care FSA – Pre-tax savings for eligible childcare and dependent care expenses. 401(k) Retirement Plan – Secure your future with a competitive company match. Disability Coverage – Voluntary short-term and long-term disability plans to protect your income. Fertility and Family Support – Resources and benefits designed to support fertility care and family planning. Life and AD&D Insurance – Financial protection for you and your loved ones. Counseling and Wellness Support – Free resources to support emotional, physical, and financial well-being. Education Assistance – Tuition reimbursement and certification support to help you grow in your career. Continuing Education – Access to a CEU library for ongoing professional development. Charitable Giving and Volunteer Program – Matched donations and paid volunteer time off to support causes you care about. Employee Referral Bonus – Earn rewards for helping us find top talent. Note: Benefits may vary by employment type. Contact HR for details on eligibility and coverage. EEO STATEMENT IVX Health is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. IVX Health wants to have the best available people in every job, and we make employment decisions on the basis of business needs, job requirements, individual qualifications, and merit. Equal employment opportunities are provided to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status, or any other legally protected category in accordance with applicable federal, state, or local laws. IVX Health prohibits discrimination, harassment, or retaliation of any kind based on any of these characteristics. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship and all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. Privacy Policy", "summaryDescription" : "Insurance Follow-Up Specialist at IVX Health. Skills: Insurance claims, Medicare collections, Denial resolution. Investigate insurance claim denials. Resolve insurance claim denials", "postedDate" : "2026-06-11T21:45:55.203", "createdAt" : "2026-06-11T21:45:55.203", "lastUpdated" : "2026-06-14T20:08:33.001", "ingestTimestamp" : "2026-06-11T21:45:55.203", "mongoId" : "6a2ac5ff74d8ee00a0704482", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "ICD-10", "CPT", "HCPCS", "Payer policy", "Reimbursement regulations", "Managed care contracts", "Denial resolution strategies", "Analytical skills", "Critical thinking skills", "Insurance claims", "Medicare collections", "Denial resolution", "Insurance follow-up", "Claim resolution", "Revenue cycle management", "Specialty drug coverage", "Payer policy nuances", "NaviNet", "Availity", "Medicare portals", "Clearinghouses" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "billing", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a191d8c58b93c861e396892", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an executive Chief Operating Officer in Oklahoma City, United States, adjusted for the manufacturing industry and company size." }, "location" : "Oklahoma City, OK", "locations" : [ "Oklahoma City", "OK" ], "timestamp" : "2026-06-16T06:03:19.803", "fingerprint" : "b8cae399e40bde8579410f8baa5814a18b078e1bdac5eaa723e3762d32fd2fc6", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/ad23e993eaae-chief-operating-officer-heavy-equipment", "externalId" : "ad23e993eaae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oklahoma City", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.4729886,-97.5170536" } ], "locationText" : "Oklahoma City, Oklahoma, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates", "createdAt" : "2026-06-14T20:28:56.650", "lastUpdated" : "2026-06-16T06:03:19.803", "ingestTimestamp" : "2026-06-14T20:28:56.650", "mongoId" : "6a191d8c58b93c861e396892", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305119f292fd229cefa45d", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior ML Engineer in Romania, adjusted for industry and seniority." }, "location" : "Romania", "locations" : [ "Romania" ], "timestamp" : "2026-06-16T10:46:11.403", "fingerprint" : "53b3cc16b6274bd3d1be1c2c06aa7c8a93889852fc577b574f29d06ad190f786", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0c8da6ff-c724-4e26-97ff-0ce5c23883b5/apply", "externalId" : "0c8da6ff-c724-4e26-97ff-0ce5c23883b5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Romania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM architectures, FP8, MXFP4, GPU, Deep learning, Distributed systems, Flash Attention, Quantization", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Design", "Evolution", "Productionize", "Low-precision training", "Low-precision inference", "GPU workloads", "Architectural improvements", "Scalable distributed training", "Scalable distributed inference", "Engineering best practices", "ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Deep learning training", "Software engineering" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization", "majorSkillsList" : [ "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization" ], "coreResponsibilities" : "Drive inference optimization efforts, identify bottlenecks, implement performance improvements, Contribute to design of inference engines, Contribute to evolution of inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, productionize low-precision training, productionize low-precision inference, Profile GPU workloads, analyze GPU workloads, identify performance constraints, guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; Cross-functional teams", "domainKnowledge" : "transformer architectures; large language models; GPU architecture; KV-cache optimization; dense models; MoE models; distributed systems; sharding strategies; Flash Attention; quantization techniques", "domainList" : [ "transformer-architectures", "large-language-models", "gpu-architecture", "kv-cache-optimization", "dense-models", "moe-models", "distributed-systems", "sharding-strategies", "flash-attention", "quantization-techniques" ], "domainSpecificKnowledge" : [ "transformer architectures", "large language models", "GPU architecture", "KV-cache optimization", "dense models", "MoE models", "distributed systems", "sharding strategies", "Flash Attention", "quantization techniques" ], "toolProficiency" : [ "Nsight", "PyTorch Profiler", "Version control", "CI/CD pipelines" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Innovation-driven", "problemSolvingSkills" : "Identify bottlenecks; Identify performance constraints", "outcomesObjectives" : "Improving throughput; Reducing latency; Reducing cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "Nsight, PyTorch Profiler, Key LLM concepts, Attention mechanisms, RoPE, KV-cache, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. Drive inference optimization efforts. identify bottlenecks", "postedDate" : "2026-06-15T07:49:12.001", "createdAt" : "2026-06-15T07:49:12.001", "lastUpdated" : "2026-06-16T10:46:11.403", "ingestTimestamp" : "2026-06-16T03:20:44.838", "mongoId" : "6a305119f292fd229cefa45d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Deep learning training", "Software engineering", "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization", "Inference optimization", "Performance improvements", "Design", "Evolution", "Productionize", "Low-precision training", "Low-precision inference", "GPU workloads", "Architectural improvements", "Scalable distributed training", "Scalable distributed inference", "Engineering best practices", "ML systems", "transformer architectures", "large language models", "KV-cache optimization", "dense models", "MoE models", "distributed systems", "sharding strategies", "Flash Attention", "quantization techniques", "Nsight", "PyTorch Profiler", "Version control", "CI/CD pipelines" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191d8c58b93c861e396897", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 350000.0, "max" : 650000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an executive-level Chief Operating Officer in San Francisco, adjusted for the manufacturing industry and company size." }, "location" : "San Francisco, CA", "locations" : [ "San Francisco", "CA" ], "timestamp" : "2026-06-15T22:58:48.622", "fingerprint" : "7388cd55a8f25e23e40ce0aa85495942da7358ba183395dba3fe6afadfc04d53", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/701cfe2176ac-chief-operating-officer-heavy-equipment", "externalId" : "701cfe2176ac", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates", "createdAt" : "2026-06-14T20:25:22.141", "lastUpdated" : "2026-06-15T22:58:48.622", "ingestTimestamp" : "2026-06-14T20:25:22.141", "mongoId" : "6a191d8c58b93c861e396897", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 650000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305119f292fd229cefa45f", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ML Engineer in Italy, adjusted for seniority and industry." }, "location" : "Italy", "locations" : [ "Italy" ], "timestamp" : "2026-06-16T10:44:33.815", "fingerprint" : "46dd2d0f3de490ac995d7221dc6c7980a18d4e2b3f5d162613bf77520c87656c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/712f9ca7-5bde-44ba-9604-f5e4a0a67b1e/apply", "externalId" : "712f9ca7-5bde-44ba-9604-f5e4a0a67b1e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM architectures, GPU, FP8, MXFP4", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Distributed training", "Distributed inference", "Engineering best practices", "Production-grade ML systems" ], "hardSkillsList" : [ "Machine learning fundamentals", "Transformer architectures", "Large language models", "GPU workloads", "GPU architecture", "Deep learning training", "Software engineering practices" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Machine learning fundamentals", "level" : "intermediate" }, { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU workloads", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Software engineering practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "ML Engineering, LLM Optimization, GPU Computing", "majorSkillsList" : [ "ML Engineering", "LLM Optimization", "GPU Computing" ], "coreResponsibilities" : "Drive inference optimization efforts, identify bottlenecks, implement performance improvements, Contribute to design inference engines, Contribute to evolution inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, productionize low-precision training pipelines, productionize low-precision inference pipelines, Profile GPU workloads, analyze GPU workloads, identify performance constraints, guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to testing, Contribute to CI/CD, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; 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Implement performance improvements; Identify performance constraints; Guide architectural improvements", "outcomesObjectives" : "Improving throughput; Reducing latency; Reducing cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "Speculative decoding, KV-cache optimization, Support for dense and MoE models, Low-precision training pipelines, Low-precision inference pipelines, FP8, MXFP4, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. identify bottlenecks", "postedDate" : "2026-06-15T07:48:15.704", "createdAt" : "2026-06-15T07:48:15.704", "lastUpdated" : "2026-06-16T10:44:33.815", "ingestTimestamp" : "2026-06-16T03:23:06.336", "mongoId" : "6a305119f292fd229cefa45f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Machine learning fundamentals", "Transformer architectures", "Large language models", "GPU workloads", "GPU architecture", "Deep learning training", "Software engineering practices", "Communication skills", "ML Engineering", "LLM Optimization", "GPU Computing", "Inference optimization", "Performance improvements", "Distributed training", "Distributed inference", "Engineering best practices", "Production-grade ML systems", "transformer architectures", "large language models", "memory hierarchy", "compute vs. memory trade-offs", "attention mechanisms", "RoPE", "KV-cache", "Flash Attention", 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pipelines, FP8, MXFP4, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. 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Identify performance constraints", "outcomesObjectives" : "Improving throughput; Reducing latency; Reducing cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Software engineering skills, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "Speculative decoding, KV-cache optimization, Support for dense and MoE models, Low-precision training, Low-precision inference pipelines, FP8, MXFP4, Nsight, PyTorch Profiler, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. 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Identify performance constraints", "outcomesObjectives" : "Improve throughput; Reduce latency; Reduce cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures knowledge, Large language models knowledge, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Nsight usage, PyTorch Profiler usage, Deep knowledge of GPU architecture, Memory hierarchy knowledge, Compute vs. memory trade-offs knowledge, Experience with large-scale deep learning training, Distributed systems experience, Sharding strategies experience, Custom kernel development experience, Advanced proficiency in Python, Modern ML frameworks proficiency, Solid understanding of software engineering practices, Version control knowledge, CI/CD pipelines knowledge, Unit testing knowledge", "qualificationsPreferred" : "Speculative decoding knowledge, KV-cache optimization knowledge, MoE models support knowledge, FP8 training knowledge, MXFP4 training knowledge, FP8 inference knowledge, MXFP4 inference knowledge, Flash Attention knowledge, Quantization techniques knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing, Deep Learning. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:45:30.253", "createdAt" : "2026-06-15T07:45:30.253", "lastUpdated" : "2026-06-16T12:16:58.317", "ingestTimestamp" : "2026-06-16T03:24:40.834", "mongoId" : "6a305119f292fd229cefa45e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Machine learning", "LLM architectures", "GPU profiling", "Deep learning training", "Sharding strategies", "Kernel development", "Software engineering practices", "CI/CD", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Computing", "Deep Learning", "Inference optimization", "Performance improvements", "System design", "Software engineering", "ML systems", "Transformer architectures", "Large language models", "GPU architecture", "KV-cache optimization", "MoE models", "Low-precision training", "Low-precision inference", "Distributed training systems", "Custom kernels", "Hardware-aware optimizations", "Nsight", "PyTorch Profiler", "Version control" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa461", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior ML Engineer in Switzerland, adjusted for seniority and the technology industry." }, "location" : "Switzerland", "locations" : [ "Switzerland" ], "timestamp" : "2026-06-16T10:21:16.010", "fingerprint" : "848c35db12ce476d4190c890b9d583f61c7b16df3a3ccadf51d41889ffa94c19", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/8b30923b-07a1-48b0-b745-7f7ec7f1f559/apply", "externalId" : "8b30923b-07a1-48b0-b745-7f7ec7f1f559", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Switzerland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, GPU, FP8, MXFP4, Flash Attention, RoPE, KV-cache", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Scalable distributed training", "Architectural improvements", "Engineering best practices", "Production-grade ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "Quantization techniques", "Distributed systems", "Sharding strategies", "Custom kernel development", "Version control", "CI/CD pipelines", "Unit testing" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Memory hierarchy", "level" : "intermediate" }, { "name" : "Compute trade-offs", "level" : "intermediate" }, { "name" : "Attention mechanisms", "level" : "intermediate" }, { "name" : "Quantization techniques", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization", "majorSkillsList" : [ "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization" ], "coreResponsibilities" : "Drive inference optimization efforts, Identify bottlenecks, Implement performance improvements, Improve throughput, Reduce latency, Reduce cost per token, Contribute to design of inference engines, Contribute to evolution of inference engines, Support speculative decoding, Support KV-cache optimization, Support dense models, Support MoE models, Develop low-precision training pipelines, Develop low-precision inference pipelines, Productionize low-precision training, Productionize low-precision inference, Profile GPU workloads, Analyze GPU workloads, Identify performance constraints, Guide architectural improvements, Collaborate on scalable distributed training, Collaborate on scalable distributed inference, Contribute to engineering best practices, Contribute to maintainable production-grade ML systems", "teamCollaboration" : "Highly technical teams; 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. Drive inference optimization efforts. 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Performance analysis", "outcomesObjectives" : "Improve throughput; Reduce latency; Reduce cost per token", "qualificationsBasic" : "Understanding of machine learning fundamentals, Transformer architectures, Large language models, Profiling and optimizing GPU workloads, Nsight or PyTorch Profiler, Deep knowledge of GPU architecture, Memory hierarchy, Compute vs. memory trade-offs, Key LLM concepts, Attention mechanisms, RoPE, KV-cache, Flash Attention, Quantization techniques, Large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Software engineering skills, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing", "qualificationsPreferred" : "FP8, MXFP4 training/inference pipelines, Hardware-aware optimizations", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:43:56.040", "createdAt" : "2026-06-15T07:43:56.040", "lastUpdated" : "2026-06-16T12:57:46.328", "ingestTimestamp" : "2026-06-16T03:22:41.636", "mongoId" : "6a305119f292fd229cefa464", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "GPU workload analysis", "Distributed systems", "Custom kernel development", "CI/CD", "Unit testing", "ML Engineering", "LLM Optimization", "GPU Computing", "Inference optimization", "Performance improvements", "Scalable distributed training", "Maintainable ML systems", "Transformer architectures", "Large language models", "GPU architecture", "LLM concepts", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Sharding strategies", "Custom kernels", "Hardware-aware optimizations", "Speculative decoding", "MoE models", "Nsight", "PyTorch Profiler", "Git", "CI/CD tools" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cefa463", "title" : "Senior ML Engineer (Token Factory)", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior ML Engineer in Germany, adjusted for the technology industry and senior experience level." }, "location" : "Germany", "locations" : [ "Germany" ], "timestamp" : "2026-06-16T15:20:12.035", "fingerprint" : "056f2f8afdaeb247aa125515e8ef71f620b396655cb6d3f405469ba50049994d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/bcf0a7cd-8c25-4bd2-9392-aaba297ab7a8/apply", "externalId" : "bcf0a7cd-8c25-4bd2-9392-aaba297ab7a8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, GPU, FP8, MXFP4, ML frameworks", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Distributed training", "Distributed inference", "Engineering best practices", "Production-grade ML systems" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing" ], "hardSkills" : [ { "name" : "Transformer architectures", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "Memory hierarchy", "level" : "intermediate" }, { "name" : "Compute trade-offs", "level" : "intermediate" }, { "name" : "Memory trade-offs", "level" : "intermediate" }, { "name" : "Attention mechanisms", "level" : "intermediate" }, { "name" : "RoPE", "level" : "intermediate" }, { "name" : "KV-cache", "level" : "intermediate" }, { "name" : "Flash Attention", "level" : "intermediate" }, { "name" : "Quantization techniques", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Sharding strategies", "level" : "intermediate" }, { "name" : "Custom kernel development", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, LLM Optimization, GPU Computing", "majorSkillsList" : [ "ML Engineering", "LLM Optimization", "GPU Computing" ], "coreResponsibilities" : "Drive inference optimization efforts, identify bottlenecks, implement performance improvements, improve throughput, reduce latency, reduce cost per token, Contribute to design of inference engines, Contribute to evolution of inference engines, Develop low-precision training pipelines, Develop low-precision inference pipelines, productionize low-precision training pipelines, productionize low-precision inference pipelines, Profile GPU workloads, analyze GPU workloads, identify performance constraints, guide architectural improvements, Collaborate on distributed training systems, Collaborate on distributed inference systems, Contribute to engineering best practices, Contribute to maintainable ML systems", "teamCollaboration" : "Highly technical teams; 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Computing. 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"https://jobs.lever.co/jobgether/0ba25454-e31b-4588-a3c5-803cf1c9fc9a/apply", "externalId" : "0ba25454-e31b-4588-a3c5-803cf1c9fc9a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, ML frameworks, LLM architectures, GPU workloads, Distributed systems, Custom kernels", "professionalSkills" : [ "Inference optimization", "Performance improvements", "Engineering best practices", "Scalable distributed training", "Scalable distributed inference" ], "hardSkillsList" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Memory trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding 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machine learning fundamentals, Transformer architectures, Large language models, Hands-on experience profiling GPU workloads, Hands-on experience optimizing GPU workloads, Deep knowledge of GPU architecture, Memory hierarchy trade-offs, Compute vs. memory trade-offs, Familiarity with key LLM concepts, Experience with large-scale deep learning training, Distributed systems, Sharding strategies, Custom kernel development, Advanced proficiency in Python, Modern ML frameworks, Solid understanding of software engineering practices, Version control, CI/CD pipelines, Unit testing, Communication skills", "qualificationsPreferred" : "Speculative decoding techniques, KV-cache optimization, Support for dense models, Support for MoE models, Low-precision training pipelines, Low-precision inference pipelines, FP8 training, FP8 inference, MXFP4 training, MXFP4 inference, Flash Attention, Quantization techniques", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Drive inference optimization efforts by identifying bottlenecks and implementing performance improvements across diverse LLM architectures, improving throughput and reducing latency and cost per token. Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, LLM Optimization, GPU Performance, Distributed Systems. 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Contribute to the design and evolution of inference engines, including techniques such as speculative decoding, KV-cache optimization, and support for dense and MoE models. Develop and productionize low-precision training and inference pipelines (e.g., FP8, MXFP4) to maximize efficiency on large GPU clusters. Profile and analyze GPU workloads using modern tooling to identify performance constraints and guide architectural improvements. Collaborate on scalable distributed training and inference systems, including sharding strategies, custom kernels, and hardware-aware optimizations. Contribute to engineering best practices including testing, CI/CD, and maintainable production-grade ML systems. Requirements: Strong understanding of machine learning fundamentals, particularly transformer architectures and large language models. Hands-on experience profiling and optimizing GPU workloads using tools such as Nsight or PyTorch Profiler. Deep knowledge of GPU architecture, including memory hierarchy and compute vs. memory trade-offs. Familiarity with key LLM concepts such as attention mechanisms, RoPE, KV-cache, Flash Attention, and quantization techniques. Experience with large-scale deep learning training, including distributed systems, sharding strategies, and custom kernel development. Strong software engineering skills, with advanced proficiency in Python and modern ML frameworks. Solid understanding of software engineering practices such as version control, CI/CD pipelines, and unit testing. Strong communication skills with the ability to collaborate effectively in highly technical, cross-functional teams. Benefits: Competitive compensation package Strong career development and continuous learning opportunities Flexible work environment with high autonomy and ownership Collaborative, innovation-driven engineering culture Opportunity to work on frontier AI systems at massive scale International, highly skilled, and diverse team environment ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior ML Engineer (Token Factory). Skills: ML Engineering, Inference Optimization, LLM Architectures, GPU Optimization. Drive inference optimization efforts. Identify bottlenecks", "postedDate" : "2026-06-15T07:41:36.002", "createdAt" : "2026-06-15T07:41:36.002", "lastUpdated" : "2026-06-16T11:43:35.794", "ingestTimestamp" : "2026-06-16T03:21:39.642", "mongoId" : "6a305119f292fd229cefa462", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Transformer architectures", "Large language models", "GPU architecture", "Memory hierarchy", "Compute trade-offs", "Attention mechanisms", "RoPE", "KV-cache", "Flash Attention", "Quantization techniques", "Deep learning training", "Sharding strategies", "Custom kernel development", "Software engineering", "Version control", "CI/CD pipelines", "Unit testing", "ML Engineering", "Inference Optimization", "LLM Architectures", "GPU Optimization", "Inference optimization", "Performance improvements", "Scalable systems", "Distributed training", "ML systems", "Machine learning fundamentals", "Compute vs. memory trade-offs", "Large-scale deep learning training", "Distributed systems", "Speculative decoding", "MoE models", "Nsight", "PyTorch Profiler" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191d8c58b93c861e396891", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "location" : "San Antonio, TX", "locations" : [ "San Antonio", "TX" ], "timestamp" : "2026-06-15T11:27:20.451", "fingerprint" : "d7b4b92b39e2bd8b8e33d6728b8c8f2e55e172de42f5d4455b9076202ca4fa91", "source" : "breezyhr", "applyUrl" : "https://kimmel-associates.breezy.hr/p/a83c0719cf56-chief-operating-officer-heavy-equipment", "externalId" : "a83c0719cf56", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Heavy equipment dealership operations, construction, infrastructure, industrial markets" ], "coreResponsibilities" : "The Chief Operating Officer will oversee the daily operations of a heavy equipment dealership, focusing on serving the construction, infrastructure, and industrial markets. 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Project team members; Contract Manufacturer DRIs", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Consumer electronics manufacturing; Networking hardware manufacturing; NPI processes; Sustaining quality operations; Industry standards; QMS; ESD control; Surface Mount Technology; Put Through Hole; Final Assembly Test Pack; Assembly; Reliability Engineering; Reliability Testing; Reliability Waterfall; ESD requirements; ESD testing; Ongoing Reliability Testing", "domainList" : [ "consumer-electronics-manufacturing", "networking-hardware-manufacturing", "npi-processes", "sustaining-quality-operations", "industry-standards", "qms", "esd-control", "surface-mount-technology", "put-through-hole", "final-assembly-test-pack", "assembly", "reliability-engineering", "reliability-testing", "reliability-waterfall", "esd-requirements", "esd-testing", "ongoing-reliability-testing" ], "domainSpecificKnowledge" : [ "Consumer electronics manufacturing", "Networking hardware manufacturing", "NPI processes", "Sustaining quality operations", "Industry standards", "QMS", "ESD control", "Surface Mount Technology", "Put Through Hole", "Final Assembly Test Pack", "Assembly", "Reliability Engineering", "Reliability Testing", "Reliability Waterfall", "ESD requirements", "ESD testing", "Ongoing Reliability Testing" ], "toolProficiency" : [ "JIRA", "PLM system", "Arena" ], "communicationSkills" : "English communication; Written communication; Verbal communication; Reporting; Communication", "documentationSkills" : "Manufacturing documentation; Inspection documentation", "innovationCreativity" : "Quality process improvements; Best practices; Automation opportunities", "problemSolvingSkills" : "Problem solving; Root cause analysis; Issue management", "specialRequirements" : "Travel domestically to CM sites", "qualificationsBasic" : "BS degree in Quality/Electrical/Mechanical Engineering, 5+ years experience consumer electronics/networking hardware manufacturing, Proven experience managing NPI processes, Proven experience sustaining quality operations, Familiarity with industry standards (IEC, UL, ISO), Excellent computer skills (Windows/Mac, Word, Excel, PowerPoint, Visio, MS Project, Internet Search), Excellent English communication skills (written and verbal), Demonstrated problem solving skills, Demonstrated root cause analysis skills, Deep understanding of MSA, Deep understanding of Process Quality Control (Cpk, Gage R&R), Deep understanding of statistical data analysis, Deep understanding of 7QC Tools, Knowledge of Statistical Process Control (SPC), Knowledge of Line Stop/Line Start Criteria, Knowledge of Line Audits, Knowledge of Electrostatic Discharge (ESD), Knowledge of Yield Definitions and Calculations (First Pass Yield, Real Pass Yield), Knowledge of Run-in Tests (RIT), Knowledge of rules for No Trouble Found", "qualificationsPreferred" : "Six Sigma Green Belt or Black Belt certification, Certified Auditor (ISO 9001, TL 9000), Advanced Manufacturing expertise (SMT, PTH, FATP, Assembly), Proactive self-starter, Willingness to learn and grow attitude, Effective presentation skills, Effective project management skills, Advanced Reliability Engineering exposure, Advanced Reliability Engineering understanding, Ability to travel domestically to CM sites", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The company: WiFi is the new electricity. Outside the smartphone, it’s the technology we depend on the most. The foundation for the modern home. The basement of Maslow’s pyramid. It makes our favorite experiences -- Netflix, Spotify, FaceTime -- come to life. eero, an Amazon Company, is the first product to deliver a whole home wifi experience using mesh technology to make sure you never have to worry about connectivity ever again. We believe customers deserve the best connectivity and smart home experience possible. But at best, wifi is like death by a thousand cuts: dead zones, painful setup, embarrassing passwords, equipment that’s a major eyesore. At worst, it's a complete failure -- usually right when you need wifi most. eero is fixing all of that. It’s not easy, which is why we’ve built a world-class team and culture. We believe deeply in what we’re doing, and, more importantly, enjoy doing it together. Come join us. Job overview: The Factory PQE is responsible for NPI and sustaining quality at contract manufacturers for products throughout their product lifecycles. The ideal candidate manages several high priority activities from QMS oversight to statistical quality control processes to issue management. This role relies heavily on strong quality assessments within the manufacturing site but also with suppliers, ensuring durable root causes are understood and mitigated. Key job responsibilities What you'll do: • Lead comprehensive management of production quality processes including IQC, IPQC, OBA, and OQC across NPI builds and mass production. • Collaborate with cross-functional teams to ensure pFMEA, process flows, and quality control plans are well managed prior to each NPI build phase. • Contribute to the product quality criteria and determine if the product meets expectations from each build phase. • Work independently and with project team members to develop, control, and deliver quality plans, manufacturing documentation, inspection documentation, and test metrology. • Perform and lead root cause analyses for complex quality issues, developing robust corrective and preventive actions (CAPA and CAR). • Drive factory escape containment and resolution; support field failure analysis and corrective actions to prevent recurrence. • Facilitate Contract Manufacturer (CM) audits focused on QMS, ESD control, and product-specific requirements, ensuring corrective actions are effectively implemented. • Review and disposition non-conforming materials and drive associated corrective actions as required. • Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements. • Monitor supplier quality performance and incoming material quality; drive improvements through data analysis and supplier engagement. • Drive quality metrics, reporting, and communication for NPI builds and sustaining programs. • Drive respective teams responsible for issues until a decision or solution is reached. • Track issue and task progress in JIRA and manage changes through a PLM system (e.g., Arena). • Work closely with CM DRIs to review potential improvements to address quality issues and risks. •Identify and implement quality process improvements, best practices, and automation opportunities. Basic Qualifications: - BS degree in Quality/Electrical/Mechanical Engineering - 5+ years of experience in consumer electronics or networking hardware manufacturing - Proven experience in managing NPI processes and sustaining quality operations. - Familiarity with industry standards applicable to consumer electronics (e.g., IEC, UL, ISO). - Excellent computer skills (including, but not limited to: Windows/Mac, Word, Excel, PowerPoint, Visio, MS Project, Internet Search Skills) - Excellent English communication skills, both written and verbal - Demonstrated problem solving and root cause analysis skills - Deep understanding on MSA (Measurement System Analysis), Process Quality Control in using Cpk and Gage R&R, statical data analysis, 7QC Tools - Knowledge of Statistical Process Control (SPC), Line Stop/Line Start Criteria, Line Audits, Electrostatic Discharge (ESD), Yield Definitions and Calculations (including First Pass Yield and Real Pass Yield), Run-in Tests (RIT) and rules used for No Trouble Found. - Developing program specific quality plans including tenets Preferred Qualifications: - Six Sigma Green Belt or Black Belt certification - Certified Auditor (e.g. ISO 9001, TL 9000) - Advanced Manufacturing expertise (Surface Mount Technology (SMT), Put Though Hole (PTH), Final Assembly Test and Pack (FATP) or Assembly). - Proactive self-starter with a willingness to learn and grow attitude - Effective presentation and project management skills - Developing program specific quality plans including tenets. - Advanced Reliability Engineering exposure and understanding including Reliability Testing, Reliability Waterfall, test standards for consumer electronics, understanding of ESD requirements and testing, Ongoing Reliability Testing (ORT). - Ability to travel domestically to CM sites as require. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Factory Product Quality Engineer at Amazon Corporate Services Vietnam Company Limited. Skills: NPI Quality, Sustaining Quality, Root Cause Analysis, CAPA. Lead production quality processes management. Collaborate with cross-functional teams", "postedDate" : "2026-06-13T18:28:41.380", "createdAt" : "2026-06-13T18:28:41.380", "lastUpdated" : "2026-06-15T07:37:42.389", "ingestTimestamp" : "2026-06-13T18:28:41.380", "mongoId" : "69fda4e44c40e2acd1b998e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413116/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Measurement System Analysis", "Process Quality Control", "Statistical Data Analysis", "7QC Tools", "Statistical Process Control", "Yield Definitions", "Yield Calculations", "First Pass Yield", "Real Pass Yield", "Run-in Tests", "NPI Quality", "Sustaining Quality", "Root Cause Analysis", "CAPA", "Issue Management", "Corrective Actions", "Preventive Actions", "Supplier Engagement", "Process Improvement", "Best Practices", "Project management", "Consumer electronics manufacturing", "Networking hardware manufacturing", "NPI processes", "Sustaining quality operations", "Industry standards", "QMS", "ESD control", "Surface Mount Technology", "Put Through Hole", "Final Assembly Test Pack", "Assembly", "Reliability Engineering", "Reliability Testing", "Reliability Waterfall", "ESD requirements", "ESD testing", "Ongoing Reliability Testing", "Six Sigma Green Belt", "Six Sigma Black Belt", "Certified Auditor", "ISO 9001", "TL 9000", "JIRA", "PLM system", "Arena" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066c0f292fd229cfb5488", "title" : "Instructional Aide", "company" : "ACCEL Schools", "industry" : "Education", "salary" : { "min" : 30000.0, "max" : 40000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Instructional Aide in Columbus, United States, with adjustments for the Education industry and company size." }, "location" : "Franklin Learning Academy", "locations" : [ "Franklin Learning Academy" ], "certifications" : [ "Paraprofessional’s Exam" ], "timestamp" : "2026-06-16T07:37:24.709", "fingerprint" : "ed53c44b0d4506bb5b84a3dfc336dd0cb4dae62da7440008db68cf23ecd8ba76", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accelschools/jobs/7773765003", "externalId" : "7773765003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "technicalSkills" : "MS Office", "majorSkills" : "Classroom support, Student behavior management", "majorSkillsList" : [ "Classroom support", "Student behavior management" ], "coreResponsibilities" : "Assist teacher with classroom activities, Promote positive student behaviors, Provide oversight for student safety, Ensure positive school climate, Administer assigned duties, Support lessons to individual students, Support lessons to groups of students, Follow instructional plans, Plan classroom activities, Support teacher in student relations, Support teacher in parent relations, Assist with school activities, Assist with parent-faculty nights, Assist with faculty meetings, Assist with assemblies, Assist with commencement exercises, Assist with fundraisers, Chaperone student activities, Provide guidance for students, Participate on faculty committees, Perform clerical duties, Grade papers, Make copies, Assist teacher with classroom technology, Maintain classroom cleanliness, Maintain lunchroom cleanliness, Maintain school area cleanliness, Implement school's philosophy, Implement school's mission statement, Perform field trips, Perform morning duty, Perform dismissal duty, Perform lunch duty, Work cooperatively with teacher, Work cooperatively with others, Act in accordance with Administrator directives, Act in accordance with teacher directives, Contribute to positive climate, Contribute to positive culture, Exhibit high professional standards", "teamCollaboration" : "Work cooperatively with teacher; Work cooperatively with others", "domainKnowledge" : "Early learning; College prep education", "domainList" : [ "early-learning", "college-prep-education" ], "domainSpecificKnowledge" : [ "Early learning", "College prep education" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Written communication; Verbal communication", "specialRequirements" : "BCI/FBI check, Lift 25-40 lbs", "qualificationsBasic" : "Associate degree, Two years of college coursework, Passage of the Paraprofessional’s Exam, Proficiency in MS Office, Successful completion of BCI/FBI check, Ability to meet educational standards, Ability to work well under pressure, Effectively prioritize and execute tasks, Meet deadlines consistently, Understanding and ability to manage confidential information, High quality written and verbal communication skills, Physical ability to lift 25-40 lbs", "qualificationsPreferred" : "Experience in a school setting, Experience in a social services setting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team ACCEL Schools is seeking an Instructional Aide at Franklin Learning Academy in Columbus, OH. Be part of the difference at Franklin Learning Academy! Founded in 2023, Franklin Learning Academy is a premier early learning school for EK-2nd grade students. Located in downtown Columbus, the public charter school features a safe and secure campus, small class sizes, and technology in the classroom. Nurturing teachers and staff support a hands-on, project-based approach to college prep education. Franklin Learning Academy is part of ACCEL Schools, an established network of public charter schools serving K-12 students throughout the United States since 2014. About the Opportunity: The Instructional Aide assists the Teacher with classroom activities and helps to promote positive student behaviors in both academics and extra-curricular activities. The Instructional Aide provides oversight to ensure student safety and a positive school climate. The Instructional Aide assists the School Leader and Teachers by administering the assigned duties in conformity with the philosophy and policies of ACCEL Schools, the assigned school, the school’s governing board, the State Board of Education, and all applicable laws. Duties: Supports lessons taught by the teacher to individual students or groups of students and follows instructional plans as assigned by the Teacher or School Leader Helps plan classroom activities as directed by the Teacher and supports the Teacher in all student and parent relations Assists with school activities, including, but not limited to, parent-faculty nights, faculty meetings, assemblies, commencement exercises, fundraiser, chaperoning student activities, providing guidance for students, participating on faculty committees, etc. Performs clerical duties, including, but not limited to, grading papers and making copies Assists the Teacher in the use of classroom technology Helps maintain the cleanliness of the classroom, lunchroom and other school areas Understands, accepts, abides by, and implements the school’s philosophy and mission statement in all school activities Other duties as assigned, including, but not limited to, field trips, morning duty, dismissal duty, and lunch duty Performance Expectations: Works cooperatively with the Teacher and others Acts in accordance with directives from the Administrator (or designee) and teacher Contributes to a positive climate and culture by exhibiting high professional standard About You: Associate degree, two years of college coursework, or the passage of the Paraprofessional’s Exam Proficiency in MS Office Successful completion of BCI/FBI check Ability to meet educational standards as applicable Ability to work well under pressure, and effectively prioritize and execute tasks to meet deadlines consistently Understanding and ability to manage confidential information High quality written and verbal communication skills Physical ability to lift 25-40 lbs. Experience in a school or social services setting is a plus About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick and mortar, and virtual schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation The starting hourly rate for this position is $16.25/hour. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "Instructional Aide at ACCEL Schools. Skills: Classroom support, Student behavior management. Assist teacher with classroom activities. Promote positive student behaviors", "postedDate" : "2026-06-15T23:26:03.331", "createdAt" : "2026-06-15T23:26:03.331", "lastUpdated" : "2026-06-16T07:37:24.709", "ingestTimestamp" : "2026-06-15T23:26:03.331", "mongoId" : "6a3066c0f292fd229cfb5488", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 40000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Classroom support", "Student behavior management", "Early learning", "College prep education", "Paraprofessional’s Exam", "MS Office" ], "skillCount" : 6, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305cc4f292fd229cf63935", "title" : "Instructional Systems Designer, Mid (Navy/DoD)", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Systems Designer, Mid in Virginia Beach, adjusted for government industry and mid-level seniority." }, "location" : "Virginia Beach, VA", "locations" : [ "Virginia Beach, VA" ], "timestamp" : "2026-06-16T06:36:05.917", "fingerprint" : "832786690fb48506bbd5d48867668a9643749755655f3dae4cdea48cc7302add", "source" : "jazzhr", "language" : "en", "externalId" : "mFAbSLSRkG", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : false, "summaryDescription" : "Instructional Systems Designer, Mid (Navy/DoD)", "createdAt" : "2026-06-15T22:27:40.449", "lastUpdated" : "2026-06-16T06:36:05.917", "ingestTimestamp" : "2026-06-15T22:27:40.449", "mongoId" : "6a305cc4f292fd229cf63935", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3067b4f292fd229cfc0d03", "title" : "Instructional Designer", "company" : "Anaplan", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Designer in Manila, Philippines, adjusted for senior seniority and SaaS industry." }, "location" : "Manila, Manila, Philippines", "locations" : [ "Manila", "Manila", "Philippines" ], "timestamp" : "2026-06-16T07:38:00.965", "fingerprint" : "a2d8ff6259cadf3c5863dbf20f33e20292b81a667d734f5956460f4cd6209ff6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anaplan/jobs/8591926002", "externalId" : "8591926002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "state" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5904492,120.9803621" } ], "locationText" : "Manila, Manila, Philippines", "rawDescription" : "At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! About the Role: Anaplan is looking for an Instructional Designer to join our Anaplan Academy team. We are looking for a learning professional that’s innovative, curious, and a great collaborator. This individual should be passionate about delivering an exceptional learning experience in a fast-paced environment driven by ongoing innovation. The role will report to the Director of Curriculum Development, responsible for designing and developing learning experiences for technical learners that include Professional Services, delivery partners, and customers. The role will work across the Academy team, as well as partner across the organization with teams such as Product, Engineering, and Innovation Readiness & Excellence. Our ideal candidate is learner-centric in their approach and is experienced in using AI to accelerate instructional design and curriculum development workflows. Key Responsibilities: Design modular learning experiences that are high-quality, interactive, and effective spanning on-demand and facilitated experiences Develop engaging learning content such as videos, interactive simulations, and hands-on experiences aligned to the Anaplan brand Build relationships across the organization and effectively partner with subject matter experts to design and develop learning experiences Prepare train-the-trainer materials and lead train-the-trainer efforts to transition finalized content to the delivery (facilitation) team Learn the Anaplan platform and stay up to date on the latest innovations, including earning and maintaining various Anaplan certifications and credentials Demonstrate end-to-end ownership of the instructional design and curriculum development workflow to drive successful delivery of the learning experience Your Experience: 5+ years of instructional design and curriculum development experience Proven application of learning theories, including adult learning theory and cognitive load theory, to training design and development for software/technical products Experience working with content authoring tools, such as Articulate Storyline, Articulate Rise, and Synthesia Proven ability to effectively use AI agents to accelerate instructional design and curriculum development workflows (experience creating AI agents is a plus) Demonstrated ability to work independently with minimal guidance, proactively manages stakeholders and tasks across multiple projects, and thrives in a fast-paced, results-driven environment Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  Fraud Recruitment Disclaimer  It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.   Anaplan does not:  Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  ", "summaryDescription" : "Instructional Designer at Anaplan", "postedDate" : "2026-06-15T23:25:56.592", "createdAt" : "2026-06-15T23:25:56.592", "lastUpdated" : "2026-06-16T07:38:00.965", "ingestTimestamp" : "2026-06-15T23:25:56.592", "mongoId" : "6a3067b4f292fd229cfc0d03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191d8c58b93c861e39688c", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Dallas, United States, adjusted for the manufacturing industry and company size." }, "location" : "Dallas, TX", "locations" : [ "Dallas", "TX" ], "timestamp" : "2026-06-15T10:14:38.754", "fingerprint" : "01312247e330e863bb750856c01bd8a6c5f3ef52e5988c1af4c9f02f031bf7b7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/d15438380323-chief-operating-officer-heavy-equipment", "externalId" : "d15438380323", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates", "createdAt" : "2026-06-13T23:59:06.805", "lastUpdated" : "2026-06-15T10:14:38.754", "ingestTimestamp" : "2026-06-13T23:59:06.805", "mongoId" : "6a191d8c58b93c861e39688c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "69cf26132beec4dd3d90b5a0", "title" : "Operating Room Clinical Nurse", "company" : "InterHealth Staffing Company", "industry" : "Healthcare", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Operating Room Clinical Nurse in Tampa, FL, adjusted for mid-level seniority and full-time employment in the healthcare industry." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
Morsani Surgery Center (MORSANISUR)
13330 USF Laurel Drive
MDH 2nd Floor
Tampa, 33612

" ], "certifications" : [ "BLS", "ACLS", "PALS" ], "timestamp" : "2026-06-16T02:52:34.382", "fingerprint" : "83c5b42e39a6cd1e355e5081195fd460e058c4b0bd46884d5dfe1ceeebf4cd90", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=669679", "externalId" : "669679", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Nursing care delivery", "Nursing documentation", "Goal-directed plan" ], "hardSkillsList" : [ "Patient care", "Nursing process" ], "hardSkills" : [ { "name" : "Patient care", "level" : "intermediate" }, { "name" : "Nursing process", "level" : "intermediate" } ], "majorSkills" : "Operating Room experience, Nursing care delivery", "majorSkillsList" : [ "Operating Room experience", "Nursing care delivery" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan and implement nursing, Document nursing, Identify and report situations requiring further, Formulate and communicate goal-directed plan, Assure patient rights, Perform job duties in accordance with mission, vision", "domainKnowledge" : "Ambulatory surgery; Outpatient surgery", "domainList" : [ "ambulatory-surgery", "outpatient-surgery" ], "domainSpecificKnowledge" : [ "Ambulatory surgery", "Outpatient surgery" ], "documentationSkills" : "Nursing documentation", "qualificationsBasic" : "Graduate of an accredited School, License to practice as a Registered Nurse in Florida, BSN or ASN with greater than one year experience, 1 year of Operating Room experience, BLS & ACLS required", "qualificationsPreferred" : "Ambulatory/ Outpatient Surgery Center experience, Previous experience in an Emergency Department, Previous experience in an ICU, PALS preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of InterHealth Staffing Company and principles of quality improvement. Graduate of an accredited School of Nursing; licensure to practice as a Registered Nurse in the State of Florida. BSN or ASN with greater than one year experience required. 1 year of Operating Room experience required. Ambulatory/ Outpatient Surgery Center experience preferred. Previous experience in an Emergency Department or ICU preferred. BLS & ACLS required. PALS preferred. *This position does not work holidays and weekends. Tampa", "summaryDescription" : "Operating Room Clinical Nurse at InterHealth Staffing Company. Skills: Operating Room experience, Nursing care delivery. Deliver nursing care to patients. 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We are unique compared to other districts because of the wide variety of exciting and innovative educational options from which families and staff members can choose. All of Lansing School District’s team members are dedicated to our mission to provide an excellent education to all students in a safe and nurturing environment. In the pursuit of our mission, we are hiring Instructional Coaches. Instructional Coaches enhance student achievement by supporting teachers and teams. Using research-based models, they collaborate with educators to set clear goals and develop action plans addressing instructional needs. Coaches assist with resource gathering, model best practices, analyze data, and monitor progress. They provide professional development aligned with district goals. Successful coaches foster true partnerships, learning alongside teachers through a flexible and adaptable coaching process. Keeping detailed records, they collaborate with peers to improve teaching practices continuously. Coaches receive ongoing training for professional growth. ## Minimum Qualifications Bachelor's Degree in education or related field Three consecutive years of Effective or Highly Effective ratings. Five years teaching experience. Alignment with Lansing School District's mission and values ## Preferred Qualifications Valid Michigan Teacher Certificate (will be required to enroll in program if don't currently possess) Master's Degree in education or related field Preferred experience a coaching or leadership position in an urban school setting ## Job Responsibilities Improve student achievement through teacher created goals that improve instruction. Utilize the LSD coaching models to provide support to all teachers via one-on-one coaching and teacher teams. Build and maintain positive, trusting relationships with teachers and administrators through effective and confidential communication. Follow established protocol to pursue and initiate new coaching partnerships with teachers to maintain a full coaching caseload. Provide professional learning follow-up implementation support through instructional coaching to connect new learning to improve instruction. Demonstrate resourcefulness to meet teacher needs, including reviewing related research, identifying tools, and creating connections with others that have expertise in that area of need. Maintain a professional calendar and instructional coaching log of coaching and non-coaching activities. Participate in Instructional Coach leadership meetings, training, and PLCs (synchronous and asynchronous) to provide consistent and strategic support to all teachers. Work collaboratively with other Instructional Coaches across the district. Utilize existing curricular programs, platforms, and resources while collaborating with colleagues to provide robust support services. Participate in specialized training as requested to provide support to teachers. Continually monitor effectiveness using student data and feedback from stakeholders. Maintain professional discretion with teachers and coaches. Other duties as assigned to best support the Lansing School District mission ## Additional Information At Lansing School District, we champion diversity, equity, and inclusion, providing equal opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or sexual orientation. We foster a rich environment for professional growth and student experiences by valuing diverse perspectives. As an equal opportunity employer, we invite passionate individuals dedicated to educational excellence to apply for our positions. We value internal mobility and list \"Strong Internal Candidate\" when considering an internal candidate before posting a job. We still encourage all candidates to apply. Complete the attached online application at your earliest convenience. If selected, we will contact you to set up an interview. While we strive to provide prompt feedback, the high volume of applicants may limit our ability to do so. All of our jobs will be posted for at least 10 days (unless otherwise noted), but we will review applications on a rolling basis. External candidates interested in multiple positions within the same department need only apply to one posting and can indicate other roles of interest in the final question. We will consider your application for various roles based on your qualifications. Internal candidates should apply using their SSO email address and submit separate applications for each role of interest. Thank you for your interest in joining our mission-driven team. We look forward to meeting you! This job description is intended to outline the general responsibilities and qualifications for the position. It is not an exhaustive list of duties, and the Lansing School District reserves the right to modify job responsibilities as needed. 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TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "NIHSS", "STABLE" ], "timestamp" : "2026-06-16T02:20:45.259", "fingerprint" : "de68eda412c561edee86fc67ff2b7e6ba705045e997a7151956441025ac0ac7e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675440", "externalId" : "675440", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "Associate's", "professionalSkills" : [ "Nursing care delivery", "Patient assessment", "Care planning" ], "hardSkillsList" : [ "Nursing documentation", "Patient rights assurance" ], "hardSkills" : [ { "name" : "Nursing documentation", "level" : "intermediate" }, { "name" : "Patient rights assurance", "level" : "intermediate" } ], "majorSkills" : "Operating Room Nursing, Patient Care, Nursing Process", "majorSkillsList" : [ "Operating Room Nursing", "Patient Care", "Nursing Process" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan nursing care, Implement nursing care, Document nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate goal-directed plan of care, Communicate goal-directed plan of care, Assure patient rights", "domainKnowledge" : "Quality improvement principles", "domainList" : [ "quality-improvement-principles" ], "domainSpecificKnowledge" : [ "Quality improvement principles" ], "documentationSkills" : "Nursing documentation", "qualificationsBasic" : "Associate's Degree Nursing, Registered Nurse License, Basic Life Support (BLS)", "qualificationsPreferred" : "Advanced Cardiovascular Life Support (ACLS), Pediatric Advance Life Support (PALS), NIHSS certification, STABLE certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital and principles of quality improvement. Education Associate's Degree Nursing License Issued by Florida or Compact State Registered Nurse Certifications Basic Life Support (BLS) through American Heart Association or American Red Cross Work Experience Unit specific certifications may be required. May include but not limited to: Advanced Cardiovascular Life Support (ACLS) Pediatric Advance Life Support (PALS) STROKE National Institutes of Health Stroke Scale (NIHSS) STABLE Brooksville", "summaryDescription" : "Clinical Nurse- Operating Room at Tampa General Hospital. Skills: Operating Room Nursing, Patient Care, Nursing Process. Deliver nursing care to patients. Plan nursing care", "createdAt" : "2026-06-14T19:01:56.628", "lastUpdated" : "2026-06-16T02:20:45.259", "ingestTimestamp" : "2026-06-14T19:01:56.628", "mongoId" : "69cf26132beec4dd3d90b52e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Nursing documentation", "Patient rights assurance", "Operating Room Nursing", "Patient Care", "Nursing Process", "Nursing care delivery", "Patient assessment", "Care planning", "Quality improvement principles", "Registered Nurse License", "Basic Life Support (BLS)", "Advanced Cardiovascular Life Support (ACLS)", "Pediatric Advance Life Support (PALS)", "NIHSS", "STABLE" ], "skillCount" : 15, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a8774d8ee00a090c6f3", "title" : "Product Marketing Manager - Token Factory", "company" : "Nebius", "industry" : "Technology", "salary" : { "min" : 177800.0, "max" : 222200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T10:13:43.577", "fingerprint" : "0a105a05bd1a4f89ac7767960bc600567feda181a5ae8590c632351abef8d4fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nebius.com/?gh_jid=4873404101", "externalId" : "4873404101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "AI, Cloud infrastructure, Developer platforms, Enterprise software, AI infrastructure, Inference, Open-source models, Cloud, GPU", "professionalSkills" : [ "Product marketing", "Go-to-market strategy", "Sales enablement", "Competitive positioning", "Technical storytelling" ], "hardSkillsList" : [ "Messaging", "Positioning", "Differentiation", "Narrative development", "Launch execution", "Sales enablement", "Competitive analysis" ], "hardSkills" : [ { "name" : "Messaging", "level" : "intermediate" }, { "name" : "Positioning", "level" : "intermediate" }, { "name" : "Differentiation", "level" : "intermediate" }, { "name" : "Narrative development", "level" : "intermediate" }, { "name" : "Launch execution", "level" : "intermediate" }, { "name" : "Sales enablement", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" } ], "majorSkills" : "Product marketing, AI infrastructure, Go-to-market strategy, Technical storytelling", "majorSkillsList" : [ "Product marketing", "AI infrastructure", "Go-to-market strategy", "Technical storytelling" ], "coreResponsibilities" : "Define positioning, messaging, differentiation, Develop narratives around use cases, Own go-to-market strategy, Execute launches, Shape roadmap priorities, Lead sales enablement", "teamCollaboration" : "Cross-functional teams; Product; Engineering; Sales", "domainKnowledge" : "AI inference; Agentic AI; Multimodal AI; Reasoning models; Fine-tuning; AI ecosystem; GPU ecosystems", "domainList" : [ "ai-inference", "agentic-ai", "multimodal-ai", "reasoning-models", "fine-tuning", "ai-ecosystem", "gpu-ecosystems" ], "domainSpecificKnowledge" : [ "AI inference", "Agentic AI", "Multimodal AI", "Reasoning models", "Fine-tuning", "AI ecosystem", "GPU ecosystems" ], "communicationSkills" : "Technical storytelling; Clear messaging", "qualificationsBasic" : "7-10+ years product marketing experience, Experience bringing technical products to market, Understand AI infrastructure, Track record of product launches, Translate technical concepts, Experience supporting enterprise sales, Exceptional writing skills, Exceptional communication skills, Exceptional storytelling skills", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R& D. The role Nebius Token Factory is looking for a strategic and technical Product Marketing leader to define how the next generation of AI inference infrastructure is positioned and brought to market. In this role, you’ll shape messaging, launches, and go-to-market strategy for cutting-edge AI capabilities across enterprise audiences. You’ll work cross-functionally with Product, Engineering, and Sales to turn complex infrastructure and model innovation into clear, compelling narratives that drive adoption, enable customers, and differentiate Nebius in a rapidly evolving AI ecosystem. You’re welcome to work remotely from the United States. Your responsibilities will include: Define positioning, messaging, and differentiation for Token Factory across enterprise and AI-native customers Develop narratives around key inference use cases including agentic AI, multimodal AI, reasoning models, and fine-tuning Own go-to-market strategy and execution for launches, platform capabilities, model releases, and ecosystem partnerships Partner closely with Product and Engineering to shape roadmap priorities through customer, market, and competitive insights Lead sales enablement including pitch decks, battlecards, competitive positioning, and case studies We expect you to have: Have 7–10+ years of product marketing experience in AI, cloud infrastructure, developer platforms, or enterprise software Have experience bringing highly technical products to market for both developer and enterprise audiences Understand modern AI infrastructure, inference, open-source models, or cloud/GPU ecosystems Have a strong track record of product launches, GTM execution, and technical storytelling Can translate complex technical concepts into clear messaging for technical and business audiences Have experience supporting enterprise sales with strong enablement and competitive positioning Thrive in fast-moving, highly cross-functional environments Possess exceptional writing, communication, and storytelling skills Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $177,800 - $222,200. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $177,800—$222,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.", "summaryDescription" : "Product Marketing Manager - Token Factory at Nebius. Skills: Product marketing, AI infrastructure, Go-to-market strategy, Technical storytelling. Define positioning, messaging, differentiation. Develop narratives around use cases", "postedDate" : "2026-06-13T20:40:03.282", "createdAt" : "2026-06-13T20:40:03.282", "lastUpdated" : "2026-06-15T10:13:43.577", "ingestTimestamp" : "2026-06-13T20:40:03.282", "mongoId" : "6a2c6a8774d8ee00a090c6f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 177800, "salaryAnnualMax" : 222200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Messaging", "Positioning", "Differentiation", "Narrative development", "Launch execution", "Sales enablement", "Competitive analysis", "Product marketing", "AI infrastructure", "Go-to-market strategy", "Technical storytelling", "Competitive positioning", "AI inference", "Agentic AI", "Multimodal AI", "Reasoning models", "Fine-tuning", "AI ecosystem", "GPU ecosystems" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d059fd2beec4dd3dbf37ec", "title" : "Assistant Work Access Inspector (Metropolitan Highway System Inspector II)", "company" : "Massachusetts Department of Transportation", "location" : "Massachusetts-Boston", "locations" : [ "Massachusetts-Boston", "Construction", "Massachusetts Department of Transportation, Full-time, Full-time" ], "timestamp" : "2026-06-15T08:43:50.630", "fingerprint" : "c92203165b39f5b94d7c5a8446c75374cae5f595f2ff50f79689d114a1a34979", "source" : "taleo", "applyUrl" : "https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=1076315", "externalId" : "1076315", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Civil Engineering", "professionalSkills" : [ "Experience in bridge and tunnel construction projects. Knowledge of agency, state, and federal guidelines and standards for construction." ], "hardSkillsList" : [ "NETTCP Concrete Inspector Certification", "ACI Concrete Field-Testing Technician", "Massachusetts Construction Supervisor License", "ATSSA Traffic Control Certification", "NICET Level III Certification" ], "softSkillsList" : [ "safety standards enforcement" ], "hardSkills" : [ { "name" : "NETTCP Concrete Inspector Certification", "level" : "intermediate" }, { "name" : "ACI Concrete Field-Testing Technician", "level" : "intermediate" }, { "name" : "Massachusetts Construction Supervisor License", "level" : "intermediate" }, { "name" : "ATSSA Traffic Control Certification", "level" : "intermediate" }, { "name" : "NICET Level III Certification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "safety standards enforcement" } ], "majorSkills" : "Bridge and tunnel construction, Inspection, Safety standards", "majorSkillsList" : [ "Bridge and tunnel construction, Inspection, Safety standards" ], "coreResponsibilities" : "The Assistant Work Access Inspector conducts inspections of tunnels, bridges, and related facilities within the Metropolitan Highway System to ensure adherence to plans, specifications, structural integrity, and public safety. This role involves reviewing plans, monitoring contractor operations, coordinating work efforts for safe traffic management, and documenting daily activities and measurements for payment. The inspector is responsible for enforcing safety standards and reporting field problems to senior personnel for resolution.", "teamCollaboration" : "Works with all District sections through AWR process and coordinate all work efforts in D6 and tunnels to ensure safe traffic set-ups and police details for support. Reports field problems and unacceptable work to Senior Inspector for resolution.", "toolProficiency" : [ "MassCareers" ], "communicationSkills" : "daily reports; prepare pay estimates", "documentationSkills" : "pay estimates", "continuousLearning" : "Within one year of appointment successfully complete the following: FHWA Safety Inspection of In-Service Bridges Certification (2-week class). FHWA Approved Tunnel Inspection Training Course.", "innovationCreativity" : "Provides recommendations for project improvements and solutions to resolve issues that may arise on projects.", "problemSolvingSkills" : "resolve issues", "specialRequirements" : "This position is eligible for a five-thousand dollar ($5, 000) signing bonus (“Signing Bonus”) if you are newly hired at MassDOT. Current MassDOT employees are not eligible for the Signing Bonus. The Signing Bonus will be paid in two parts: 1) $3, 000 (less applicable taxes) included in the employee's first paycheck. 2) $2, 000 (less applicable taxes) after the successful completion of the employee’s probationary period. Applicants must possess a valid Massachusetts Class D license.", "outcomesObjectives" : "Ensure adherence to plans and specifications, structural integrity, and safety of the motoring public. Ensure conformance to plans, specification and other contractual obligations. Ensure that correct construction procedures are being followed and that work conforms to plans, shop drawings and specifications. Strictly enforces safety standards to protect the traffic and workers in the work zones.", "qualificationsBasic" : "Applicants must have at least (A) four years of full-time or equivalent part-time experience in bridge and tunnel construction projects or (B) any equivalent combination of the required experience and the substitutions below. An Associate's degree in Civil Engineering or a related discipline may be substituted for one year of the required experience. A Bachelor's degree or higher in Civil Engineering or a related discipline may be substituted for two years of the required experience.", "qualificationsPreferred" : "Applicants must possess a valid Massachusetts Class D license. Applicants must possess and maintain a minimum of three of the following (verification required): NETTCP Hot Mix Asphalt Paving Technician Certification. NETTCP Concrete Inspector Certification. ACI Concrete Field-Testing Technician. Massachusetts Construction Supervisor License. ATSSA Traffic Control Certification. NICET Level III Certification in an applicable discipline. Within one year of appointment successfully complete the following: FHWA Safety Inspection of In-Service Bridges Certification (2-week class). FHWA Approved Tunnel Inspection Training Course.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position Summary Incumbents of positions in this series conduct inspections and train and administer the Division's inspection program for work performed by contractors on tunnels, bridges and related facilities within the Metropolitan Highway System (MHS), or other locations in District 6, to ensure adherence to plans and specifications, structural integrity, and safety of the motoring public. The basic purpose of this work is to perform professional engineering duties related to the inspection, design, rating, maintenance and repairs of tunnels, bridges, roadways, buildings, culvert and other related facilities. Duties and Responsibilities Conducts inspections of tunnels, bridges and other structures within the MHS to insure compliance with agency, state and federal guideline and standards. Reviews plans and specifications and monitors contractors' operations to ensure conformance to plans, specification and other contractual obligations. Works with all District sections through AWR process and coordinate all work efforts in D6 and tunnels to ensure safe traffic set-ups and police details for support. Writes and published the District six set up schedule. Recommends the assignments of responsibilities and shifts on large-scale projects that require multiple personnel and ensure that all phases of work have coverage. Provides recommendations for project improvements and solutions to resolve issues that may arise on projects. Inspects work in progress and completed work to ensure that correct construction procedures are being followed and that work conforms to plans, shop drawings and specifications. Inspect preparatory work such as grading before paving, steel reinforcement and interior clean-up of concrete forms, etc. to ensure conformance to plans and specifications. Provides timely information on assigned operations as needed by preparing daily reports on activities, including contractors' labor force, equipment location of work site, materials used, measurement of items for payment, weather, visitors and unusual occurrences. Measures unit items of work for payment purposes; prepares or assists in the preparation or review of pay estimates. Reports field problems and unacceptable work to Senior Inspector for resolution. Strictly enforces safety standards to protect the traffic and workers in the work zones and ensures that the Department and contractors' health and safety plan is adhered to. Coordinates the police details necessary to perform the work in a safe manner. Performs other related duties as required. This position is eligible for a five-thousand dollar ($5,000) signing bonus (“Signing Bonus”) if you are newly hired at MassDOT. Current MassDOT employees are not eligible for the Signing Bonus. The Signing Bonus will be paid in two parts: 1) $3,000 (less applicable taxes) included in the employee's first paycheck. 2) $2,000 (less applicable taxes) after the successful completion of the employee’s probationary period. About MassDOT The 4,000+ employees of Massachusetts Department of Transportation (MassDOT) take great pride in connecting the Commonwealth’s residents and communities. MassDOT is responsible for developing, implementing, and coordinating transportation policies and projects for the Commonwealth of Massachusetts and to efficiently plan, design, construct, and maintain a safe statewide transportation system which effectively meets the transportation needs of the Commonwealth. Information about MassDOT’s culture and career opportunities can be found at mass.gov/massdot-careers . MassDOT’s divisions include Highway, Registry of Motor Vehicles, Aeronautics, and Rail & Transit. Headquarters (Planning & Enterprise Services) provides business and administrative support and policy leadership for each of the four (4) divisions. Minimum Entrance Requirements This requisition will remain open until filled; however, first consideration will be given to those applicants that apply within the first 14 days. Current MassDOT employees should use their internal MassCareers account to apply. All job applications must be submitted online through MassCareers to be considered. Please provide a complete, accurate and current resume / application for MassDOT to review in order to determine if your submitted materials meet the minimum entrance requirements for the position. Applicants must have at least (A) four years of full-time or equivalent part-time experience in bridge and tunnel construction projects or (B) any equivalent combination of the required experience and the substitutions below. Substitutions I. An Associate's degree in Civil Engineering or a related discipline may be substituted for one year of the required experience. ll. A Bachelor's degree or higher in Civil Engineering or a related discipline may be substituted for two years of the required experience. SPECIAL REQUIREMENTS: Applicants must possess a valid Massachusetts Class D license. Applicants must possess and maintain a minimum of three of the following (verification required): NETTCP Hot Mix Asphalt Paving Technician Certification. NETTCP Concrete Inspector Certification. ACI Concrete Field-Testing Technician. Massachusetts Construction Supervisor License. ATSSA Traffic Control Certification. NICET Level III Certification in an applicable discipline. Within one year of appointment successfully complete the following: FHWA Safety Inspection of In-Service Bridges Certification (2-week class). FHWA Approved Tunnel Inspection Training Course. For questions regarding the job posting, please email the MassDOT Talent Acquisition Team at talentacquisition@dot.state.ma.us. For general questions regarding MassDOT, call the Human Resources Service Center at 857 ‐ 368 ‐ 4722. For a disability ‐ related reasonable accommodation or alternative application method, call the ADA Coordinator, Lucy Bayard, at 857 ‐ 274 ‐ 1935. Comprehensive Benefits When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future. Want the specifics? Explore our Employee Benefits and Rewards! An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply. The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role. MassDOT MHS Inspector II", "summaryDescription" : "Assistant Work Access Inspector (Metropolitan Highway System Inspector II) at Massachusetts Department of Transportation. Skills: Bridge and tunnel construction, Inspection, Safety standards. The Assistant Work Access Inspector conducts inspections of tunnels, bridges, and related facilities within the Metropolitan Highway System to ensure adherence to plans, specifications, structural integrity, and public safety. This role involves reviewing plans, monitoring contractor operations, coordinatin", "createdAt" : "2026-06-14T21:52:17.933", "lastUpdated" : "2026-06-15T08:43:50.630", "ingestTimestamp" : "2026-06-14T21:52:17.933", "mongoId" : "69d059fd2beec4dd3dbf37ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "NETTCP Concrete Inspector Certification", "ACI Concrete Field-Testing Technician", "Massachusetts Construction Supervisor License", "ATSSA Traffic Control Certification", "NICET Level III Certification", "safety standards enforcement", "Bridge and tunnel construction, Inspection, Safety standards", "Experience in bridge and tunnel construction projects. Knowledge of agency, state, and federal guidelines and standards for construction.", "MassCareers" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8770f0b99d5843fb35", "title" : "Industrial Engineer - Factory Planning", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 86900.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, USA", "locations" : [ "Kirkland, Washington, USA" ], "timestamp" : "2026-06-15T02:29:27.268", "fingerprint" : "531b886442280f3bb40e3cc1a40e1395bbd2ccda9039221d714b016aed26327b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139114/apply", "externalId" : "b6b9f03b-ae8d-4e62-845f-82ac294d97e6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "CAD", "professionalSkills" : [ "Factory planning", "Production flow", "Utility budgets", "Rate calculation" ], "hardSkillsList" : [ "Factory layout", "Equipment lists", "Utility budgets", "Rate calculation" ], "hardSkills" : [ { "name" : "Factory layout", "level" : "intermediate" }, { "name" : "Equipment lists", "level" : "intermediate" }, { "name" : "Utility budgets", "level" : "intermediate" }, { "name" : "Rate calculation", "level" : "intermediate" } ], "majorSkills" : "Factory planning, Production flow, Facility layout", "majorSkillsList" : [ "Factory planning", "Production flow", "Facility layout" ], "coreResponsibilities" : "Develop CAD models, Maintain CAD models, Develop rate calculators, Maintain rate calculators, Develop equipment lists, Maintain equipment lists, Develop utility budgets, Maintain utility budgets, Drive unified production vision, Deliver factory cell plans, Work with internal teams, Work with external teams, Deliver rate capable facilities", "teamCollaboration" : "Production teams; Area leaders; Contractors; Technicians; Engineers; Architects; Amazon leaders", "domainKnowledge" : "Satellite production; GSE Engineering", "domainList" : [ "satellite-production", "gse-engineering" ], "domainSpecificKnowledge" : [ "Satellite production", "GSE Engineering" ], "toolProficiency" : [ "CAD" ], "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S.", "outcomesObjectives" : "Meet satellite production goals; Meet timelines", "qualificationsBasic" : "2+ years hardware design, 2+ years validation experience", "qualificationsPreferred" : "Knowledge of engineering practices, Experience with hardware/software integration, Experience with real-time systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are hiring an Industrial Engineer to support Factory Planning within our GSE Engineering team. This role will be responsible for the heartbeat of satellite production facility delivery. They will develop and deliver plans for facility layout and function, and will unite production teams to achieve mission success. This individual will work with a wide variety of contractors, technicians, engineers, architects, and Amazon leaders to develop and deliver a vision that meets our satellite production goals. Key job responsibilities - Develop and maintain high-level CAD models, rate calculators, and equipment lists for production and product flow through the factory - Develop and maintain high-level utility budgets, LN2, GN2, Compressed Air, Electrical - Drive a unified production vision across a variety of different product lines within available constraints - Deliver plans for layout and construction of factory cells based on co-development with area leaders - Work with internal and external teams to deliver rate capable facilities to meet timelines Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life This is a fast-paced, intellectually challenging position, and you’ll work with leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today. Basic Qualifications: - 2+ years of hardware design and validation of components, subsystems and systems experience Preferred Qualifications: - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience with hardware/software integration and real-time systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Industrial Engineer - Factory Planning at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Factory planning, Production flow, Facility layout. Develop CAD models. Maintain CAD models", "postedDate" : "2026-06-13T02:12:18.945", "createdAt" : "2026-06-13T02:12:18.945", "lastUpdated" : "2026-06-15T02:29:27.268", "ingestTimestamp" : "2026-06-13T02:12:18.945", "mongoId" : "693c2b8770f0b99d5843fb35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139114/apply", "salaryAnnualMin" : 86900, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Factory layout", "Equipment lists", "Utility budgets", "Rate calculation", "Factory planning", "Production flow", "Facility layout", "Satellite production", "GSE Engineering", "CAD" ], "skillCount" : 10, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing" }, { "id" : "6a308137f292fd229c0697d2", "title" : "System (Linux) Admin", "company" : "Woongjin, Inc", "industry" : "Computer Software", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior System (Linux) Admin in San Jose, United States, adjusted for industry and contract employment type." }, "location" : "San Jose, CA, United States", "locations" : [ "San Jose", "CA", "United States" ], "certifications" : [ "CompTIA Linux+", "RHCSA", "RHCE", "CompTIA Security+ (SY0-301)", "DoD 8570.1 IAT Level II" ], "timestamp" : "2026-06-16T12:35:06.026", "fingerprint" : "ad7fc78022428162f4467a92ce6f6f84b5aee9260c56cc08e7c57b982f051e2b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WJCompany/744000132281989-system-linux-admin-", "externalId" : "744000132281989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Linux, VMware, KVM, Netapp, DellC, PureStorage, Ansible, GLPI, Cisco, Mellanox, Red Hat Linux, CentOS, Ubuntu, Windows Server, Apache, Jirra, Git, LDAP, Jenkins", "professionalSkills" : [ "System design", "Automation", "Performance tuning", "Resource optimization" ], "hardSkillsList" : [ "Shell scripting", "Corn jobs", "Log file analysis", "User account management", "Group management", "Iptables configuration", "Mail services setup", "Security patch management", "System monitoring", "Log review", "Backup operations", "File archival", "User account creation", "User account deletion", "Hardware repair", "Software repair", "OS patching", "OS upgrades", "Administrative tools upgrade", "New services configuration", "System software upgrade", "Configuration procedures", "Operational procedures", "CPU configuration", "Memory configuration", "Disk partition configuration" ], "softSkillsList" : [ "Independent" ], "hardSkills" : [ { "name" : "Shell scripting", "level" : "intermediate" }, { "name" : "Corn jobs", "level" : "intermediate" }, { "name" : "Log file analysis", "level" : "intermediate" }, { "name" : "User account management", "level" : "intermediate" }, { "name" : "Group management", "level" : "intermediate" }, { "name" : "Iptables configuration", "level" : "intermediate" }, { "name" : "Mail services setup", "level" : "intermediate" }, { "name" : "Security patch management", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" }, { "name" : "Log review", "level" : "intermediate" }, { "name" : "Backup operations", "level" : "intermediate" }, { "name" : "File archival", "level" : "intermediate" }, { "name" : "User account creation", "level" : "intermediate" }, { "name" : "User account deletion", "level" : "intermediate" }, { "name" : "Hardware repair", "level" : "intermediate" }, { "name" : "Software repair", "level" : "intermediate" }, { "name" : "OS patching", "level" : "intermediate" }, { "name" : "OS upgrades", "level" : "intermediate" }, { "name" : "Administrative tools upgrade", "level" : "intermediate" }, { "name" : "New services configuration", "level" : "intermediate" }, { "name" : "System software upgrade", "level" : "intermediate" }, { "name" : "Configuration procedures", "level" : "intermediate" }, { "name" : "Operational procedures", "level" : "intermediate" }, { "name" : "CPU configuration", "level" : "intermediate" }, { "name" : "Memory configuration", "level" : "intermediate" }, { "name" : "Disk partition configuration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent" } ], "majorSkills" : "System administration, Linux administration, Virtualization, Storage management", "majorSkillsList" : [ "System administration", "Linux administration", "Virtualization", "Storage management" ], "coreResponsibilities" : "Engineer systems administration solutions, Install new servers, Rebuild existing servers, Configure server hardware, Configure server peripherals, Configure server services, Configure server settings, Configure server directories, Configure server storage, Install infrastructure systems, Configure infrastructure systems, Install R&D systems, Configure R&D systems, Develop installation procedures, Maintain installation procedures, Develop configuration procedures, Maintain configuration procedures, Configure storage equipment, Install EDA tools, Configure EDA tools, Install FlexLM licenses, Configure FlexLM licenses, Contribute to system standards, Maintain system standards, Contribute to security posture, Maintain security posture, Research automated approaches, Recommend automated approaches, Identify resource leveraging approaches, Install security patches, Maintain security patches, Report security patch compliance, Perform daily system monitoring, Verify hardware integrity, Verify server resource integrity, Verify system integrity, Verify key process integrity, Review system logs, Review application logs, Verify scheduled job completion, Perform security monitoring, Identify system intrusions, Perform daily backup operations, Ensure file system backups, Ensure system data backups, Create recovery tapes, Create recovery disks, Recycle backup media, Send backup media offsite, Perform file archival, Perform file purge, Create user accounts, Change user accounts, Delete user accounts, Provide Tier III support, Provide other support, Investigate issues, Troubleshoot issues, Repair hardware failures, Recover from hardware failures, Repair software failures, Recover from software failures, Coordinate with constituencies, Communicate with constituencies, Apply OS patches, Apply OS upgrades, Upgrade administrative tools, Upgrade administrative utilities, Configure new services, Add new services, Manage existing JIRRA instances, Deploy new JIRRA instances, Manage existing Git instances, Deploy new Git instances, Manage existing LDAP instances, Deploy new LDAP instances, Manage existing Jenkins instances, Deploy new Jenkins instances, Manage existing VMWare environments, Deploy new VMWare environments, Upgrade system software, Configure system software, Maintain operational procedures, Maintain configuration procedures, Maintain other procedures, Perform performance tuning, Perform hardware upgrades, Perform resource optimization, Configure CPU, Configure memory, Configure disk partitions", "teamCollaboration" : "Cross-functional teams; Technical personnel; Non-technical personnel", "projectManagementSkills" : [ "DevOps tool administration" ], "domainKnowledge" : "Web-based technologies; Reverse proxy servers; SSL certificate configuration; Three-tier architecture; Service oriented architecture; Enterprise service bus", "domainList" : [ "web-based-technologies", "reverse-proxy-servers", "ssl-certificate-configuration", "three-tier-architecture", "service-oriented-architecture", "enterprise-service-bus" ], "domainSpecificKnowledge" : [ "Web-based technologies", "Reverse proxy servers", "SSL certificate configuration", "Three-tier architecture", "Service oriented architecture", "Enterprise service bus" ], "toolProficiency" : [ "VMware", "KVM", "Netapp", "DellC", "PureStorage", "Ansible", "Foreman", "GLPI", "Cisco", "Mellanox", "Jirra", "Git", "LDAP", "Jenkins" ], "communicationSkills" : "Verbal correspondence; Written correspondence", "innovationCreativity" : "Research innovative approaches; Recommend innovative approaches", "problemSolvingSkills" : "Investigate issues; Troubleshoot issues; Repair failures; Recover from failures", "specialRequirements" : "After hours support, Weekend support, Alternative work schedules, Lift 50 lbs, Move servers", "qualificationsBasic" : "5+ years system administration experience in Linux, CompTIA Security+ (SY0-301) or equivalent certification required, Able to lift 50 lbs, Able to move servers", "qualificationsPreferred" : "VMware admin and management high skill level, Jenkins administration, GIT administration, DevOps tool administration, Systems Administration/System Engineer certification in Linux+, Red Hat Certified System Administrator (RHCSA) preferred, Red Hat Certified Engineer (RHCE) preferred, Network equipment management, Cisco equipment preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits * Medical Insurance * Vision Insurance * Dental Insurance * 401(k) * Paid Sick hours * Engineering of systems administration-related solutions for various project and operational needs. * Install new/rebuild existing servers and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements. * Virtualization platform (VMware, KVM, and other) * Storage management (Netapp, Dell/EMC, PureStorage, and others) * Infra automation tools(ansible) support * Foreman deployment management * System inventory system (GLPI) * Network equipment management (Cisco, Mellanox, and others) * Install and configure systems which support infrastructure and/or R&D activities. * Develop and maintain installation and configuration procedures. * Configure/maintain storage equipment and troubleshoot with vendors. * Configure/install EDA tools, FlexLM licenses, and troubleshoot software tool issues. * Contribute to and maintain system standards. * Contribute to and maintain security posture of the systems * Research and recommend innovative, and where possible, automated approaches for system administration tasks. Identify approaches that leverage resources. * Operations and Support * Install and maintain security patches on the operational and development system, which includes but is not limited to, Red Hat Linux (Centos, Ubuntu…etc.), Windows 2008/2k8R2/2k12, VMWare, and Apache web services. * Report Security Patch compliance. * Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs, and verifying completion of scheduled jobs such as backups. * Perform regular security monitoring to identify any possible intrusions. * Perform daily backup operations, ensuring all required file systems and system data are successfully backed up to the appropriate media, recovery tapes or disks are created, and media is recycled and sent off site as necessary. * Perform regular file archival and purge as necessary. * Create, change, and delete user accounts per request as necessary. * Provide Tier III/other support per request from various constituencies. Investigate and troubleshoot issues. * Repair and recover from hardware or software failures. Coordinate and communicate with impacted constituencies. * Maintenance * Apply OS patches and upgrades on a regular basis, and upgrade administrative tools and utilities. Configure/add new services as necessary. * Manage existing and/or deploy new instances of Jirra, Git, LDAP, Jenkins, VMWare environments. * Upgrade and configure system software that supports infrastructure applications or Asset Management applications per project or operational needs. * Maintain operational, configuration, or other procedures. * Perform ongoing performance tuning, hardware upgrades, and resource optimization as required. Configure CPU, memory, and disk partitions as required. * After hours and weekend support and/or alternative work schedules are required at various points in the year ## Qualifications * Especially high skill level of VMware admin and management, also including but not limiting, Jenkins, GIT, DevOps tool administration * Systems Administration/System Engineer certification in Linux+, e.g., CompTIA Linux+, Red Hat Certified System Administrator (RHCSA), or Red Hat Certified Engineer (RHCE) preferred * Network equipment management, Cisco equipment preferred, * 5+ years of system administration experience in Linux environments and proficient in tasks such as shell scripting, creating corn jobs, analyzing log files, managing user accounts and groups, configuring iptables, and setting up mail services. * Proven ability to multi-task. * Independent, self-starter. * Ability to effectively communicate (verbal and written correspondence) in a professional and courteous manner with technical and non-technical personnel. * CompTIA Security+ (SY0-301) or other DoD 8570.1 Workplace Improvement Plan IAT Level II compliant certification required (or equivalent experience). * Familiarity with web-based technologies, including but not limited to, reverse proxy servers, SSL certificate configuration, three-tier architecture, and service oriented architecture, enterprise service bus, http, and differences between browsers. * Able to lift 50 lbs. * Able to move servers to and from main DC to the colocation and labs * Install new hardware or migrate existing servers (rack and stack) ## Additional Information All your information will be kept confidential according to EEO guidelines. NO C2C", "summaryDescription" : "System (Linux) Admin at Woongjin, Inc. Skills: System administration, Linux administration, Virtualization, Storage management. Engineer systems administration solutions. Install new servers", "postedDate" : "2026-06-15T20:35:59.000", "createdAt" : "2026-06-16T01:41:22.511", "lastUpdated" : "2026-06-16T12:35:06.026", "ingestTimestamp" : "2026-06-16T01:41:22.511", "mongoId" : "6a308137f292fd229c0697d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Shell scripting", "Corn jobs", "Log file analysis", "User account management", "Group management", "Iptables configuration", "Mail services setup", "Security patch management", "System monitoring", "Log review", "Backup operations", "File archival", "User account creation", "User account deletion", "Hardware repair", "Software repair", "OS patching", "OS upgrades", "Administrative tools upgrade", "New services configuration", "System software upgrade", "Configuration procedures", "Operational procedures", "CPU configuration", "Memory configuration", "Disk partition configuration", "Independent", "System administration", "Linux administration", "Virtualization", "Storage management", "System design", "Automation", "Performance tuning", "Resource optimization", "DevOps tool administration", "Web-based technologies", "Reverse proxy servers", "SSL certificate configuration", "Three-tier architecture", "Service oriented architecture", "Enterprise service bus", "CompTIA Linux+", "RHCSA", "RHCE", "CompTIA Security+ (SY0-301)", "DoD 8570.1 IAT Level II", "VMware", "KVM", "Netapp", "DellC", "PureStorage", "Ansible", "Foreman", "GLPI", "Cisco", "Mellanox", "Jirra", "Git", "LDAP", "Jenkins" ], "skillCount" : 61, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "follow detailed written work instructions using our factory operating system fos jobs", "metadata" : { "title" : "follow detailed written work instructions using our factory operating system fos" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 46665, "totalPages" : 934, "hasNext" : true, "hasPrevious" : false } }

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