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AI Engineering Lead
EggaiFrance, Germany8 days ago
Full TimeOn-siteLead
pythonjavascripttypescriptarchitecturecoachingonboarding

EggAI · Full-time · Remote (EU only) The Role You will lead a small, highly-skilled remote team of engineers designing and shipping production-grade agentic AI systems. Working directly with enterprise clients, you will validate where AI can create value, redesign business processes, and own the resulting system from early experiments through adoption and measurable results. Across these environments, you will learn from recurring production failure modes and have the latitude to choose the models, tools, and architecture to solve the business problem. Alongside client delivery, you will turn successful approaches into shared assets that strengthen future engagements. Those contributions will shape EggAI's engineering culture and give you broad influence over how we work. This is a hands-on leadership role. You will write production code, set technical direction, develop engineers through example, review, feedback, and coaching, and guide senior client stakeholders through difficult decisions. This is a remote position. We only accept candidates located in the EU. What You'll Own Act as a trusted technical counterpart to client teams throughout the engagement, helping them make sound decisions and create lasting capability as you: Discover: Validate business opportunities against AI capabilities and constraints, and identify new opportunities enabled by the technology. Design: Own solution design and system architecture across agents, tools, data, evaluations, controls, human oversight, and deterministic boundaries. Build: Personally implement the system's critical agents, integrations, evaluation infrastructure, permissions, observability, controls, and feedback loops. Deliver: Lead the team and client from implementation through adoption, owning engineering quality and production readiness while establishing a clear delivery rhythm and engineering accountability across the project team. Compound: Package successful work as tools, datasets, evaluations, patterns, and engineering methods. What We're Looking For A sustained record of exceptional technical leadership that generated real business impact, including experience leading small engineering teams. Experience designing, shipping, and operating production-grade AI systems, with practical judgment across architecture, context, tools, evaluation, observability, production controls, reliability, and cost. A demonstrated ability to keep pace with advances in AI, test what matters, and change working methods when new capabilities prove substantive, evidenced by advanced use of agentic AI in day-to-day work. Repeated ownership of difficult stakeholder environments and the judgment to connect technical decisions to business value, user needs, risk, and organizational change. Excellent communication skills across engineering, product, and business stakeholders. Strong coding skills and the ability to write and review production-grade code in languages such as Python, TypeScript/JavaScript, or similar. A strong engineering foundation and the first-principles judgment to understand what established practices protect and how those protections should be implemented in AI-native systems. Strong statistical and experimental judgment, including the ability to create the instrumentation, annotation, review, and feedback loops needed to learn from uncertain AI behaviour and improve systems over time. Additional strengths Experience operating AI systems in security-sensitive or regulated environments. Experience creating AI tooling, evaluation infrastructure, data assets, or engineering platforms that serve multiple projects. A track record of hiring, onboarding, and developing engineering talent. Meaningful open-source work, public technical contributions, or active participation in the AI-engineering community Find Jobs in France on Arbeitnow

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Senior Machine Learning Engineering Manager
Full TimeOn-siteLead
gollmmental healtharchitectureinstagramrecruiting+2

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey You will lead the Production Inference team — the group responsible for the systems that serve DeepL's language AI models reliably and efficiently at scale. We sit at the intersection of research-grade technical ambition and production-grade operational discipline: our work determines whether DeepL's models reach users with the latency, reliability, and cost profile that makes commercial deployment viable. The team owns the full model serving stack — from GPU-resident inference runtimes and deployment infrastructure through to the developer platform that enables every other research team to bring their models to production. We operate within the Research organisation, with close ties to DeepL's infrastructure and platform functions, and our architectural decisions affect every product DeepL ships. The broader Research organisation publishes regularly at ACL, NeurIPS, and EMNLP, and the Production Inference team brings that same culture of rigour and innovation to the systems layer of AI. Your responsibilities As Engineering Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research and development roadmap for production inference systems, in close collaboration with senior ICs and cross-functional stakeholders, balancing near-term reliability commitments with longer-horizon research bets on inference efficiency and architecture. Act as the primary technical interface between the Production Inference team and adjacent functions — including foundational models research, voice research, applied research, infrastructure, and product — ensuring research output is well-scoped, well-communicated, and delivered without creating downstream bottlenecks. Drive the reliability, efficiency, and cost performance of DeepL's model serving stack, including strategic decisions around serving infrastructure evolution (load balancing, autoscaling, runtime selection, and hardware utilisation). Operate with a high degree of autonomy, defining the team's direction and pushing for results in an environment where requirements from product or commercial stakeholders can be ambiguous or evolving. Play an active role in identifying, assessing, and recruiting research and engineering talent as the team continues to develop. Qualities we look for You have proven experience leading a team of researchers or ML engineers, with a track record of developing talent, maintaining delivery rigour, and holding the balance between research quality and production reliability. You have a strong background Computer Science, Mathematics, Physics, or a comparable quantitative discipline, or possess a strong ML/systems background with equivalent research depth. You have a strong foundation in production ML systems, inference optimisation, or model serving at scale — direct experience with LLM inference, speculative decoding, quantisation, or serving infrastructure is a meaningful differentiator. You are comfortable operating across the full model lifecycle — from training handoff through to production deployment, monitoring, and efficiency improvement — and understand infrastructure and compute constraints without needing to own them directly. You have excellent communication skills and the ability to translate complex technical direction into clear goals for both technical and non-technical stakeholders. You are solution-oriented and decisive, able to define direction and drive outcomes without waiting for direction from above. What we offer Diverse and internationally distributed team : joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback : as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours : we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events : we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally. Monthly full-day hacking sessions : every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity. 30 days of annual leave : we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits : just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you! #LI-JB1 We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world. Find Jobs in United Kingdom on Arbeitnow

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Senior Microsoft AI & Copilot Engineer (m/w/d)
Full TimeOn-siteSenior
pythonazurepower birestcompliancecompliance+1

Die thinkGROUP ist eine erfolgreiche Systemhausgruppe, die ständig nach Innovation strebt und großen Wert auf die kontinuierliche Optimierung unserer internen Prozesse legt. Die Nutzung modernster Technologien ist kein Selbstzweck, sondern die Ausprägung unseres Innovationsgeistes und gelebter Kundenorientierung. Hervorragender IT-Service bedarf optimaler Systeme. Unser motiviertes Team gibt täglich sein Bestes, um unsere Kunden immer wieder neu zu begeistern. Wir suchen Dich zum nächstmöglichen Zeitpunkt als Teammitglied unseres Fachbereichs Cloud Computing & AI am Standort Nürnberg . Werde Teil der think about IT und unterstütze uns als Senior Microsoft AI & Copilot Engineer (m/w/d). Die Tätigkeit kann ebenfalls in unseren Niederlassungen in Hamburg, Münster, Berlin, Mainz oder Bochum ausgeübt werden. Aufgaben Konzeption, Entwicklung und Implementierung intelligenter KI-Lösungen auf Basis von Microsoft Copilot, Azure AI und souveränen KI-Technologien zur produktiven und sicheren Nutzung künstlicher Intelligenz Entwicklung von Automatisierungs- und Assistenzlösungen mit Microsoft Copilot, Copilot Studio, Power Automate und Microsoft Graph Design, Aufbau und Weiterentwicklung von AI Agents, Wissensplattformen und intelligenten Automatisierungslösungen Konzeption, Implementierung und Überwachung von KI-Governance-Richtlinien unter Berücksichtigung regulatorischer und rechtlicher Anforderungen Entwicklung souveräner KI-Lösungen unter Einsatz moderner Automatisierungsplattformen und Orchestrierungstools wie n8n Integration von Microsoft 365, Microsoft Graph und Microsoft AI Services in bestehende Geschäftsprozesse und Anwendungslandschaften technische Begleitung von KI-Projekten von der Anforderungsanalyse über Workshops und Proof of Concepts bis hin zum produktiven Betrieb Architekturverantwortung für KI-Lösungen mit Fokus auf Skalierbarkeit, Sicherheit, Compliance und nachhaltige Betriebsmodelle enge Zusammenarbeit mit Kunden, Fachbereichen und Projektteams zur erfolgreichen Umsetzung von KI- und Automatisierungsstrategien Qualifikation Studium der Informatik, eine vergleichbare Ausbildung oder mehrjährige Berufserfahrung Mehrjährige Erfahrung mit Microsoft Copilot oder Azure AI gute Kenntnisse in Python, REST APIs und Microsoft Graph Interesse an modernen KI-Technologien und Innovation Flexibilität und Serviceorientierung Teamplayer mit Begeisterungsfähigkeit für Neues Ideale Microsoft Zertifizierungen: AI-102 – Designing and Implementing a Microsoft Azure AI Solution AI-900 – Microsoft Azure AI Fundamentals MS-900 – Microsoft 365 Fundamentals DP-600 – Implementing Analytics Solutions Using Microsoft Fabric (wünschenswert) PL-300 – Microsoft Power BI Data Analyst (wünschenswert) Benefits Home-Office Anteil jährlich bis zu 4 Wochen Workation – mobiles Arbeiten aus dem europäischen Ausland umfangreiches Onboarding ergänzt durch unser Buddy-Programm jährliches Weiterbildungsbudget Mitarbeiter werben Mitarbeiter-Prämie in Höhe von 1.000€ kostenfreies Mittagessen am Healthy Wednesday 200€ Arbeitgeberzuschuss für Deine Arbeitsplatzbrille Arbeitgeberzuschuss zur Vermögensbildung hoher Grad der persönlichen Entfaltung sowie individuelle Förderung Trainingsmöglichkeiten in kooperierendem Fitnessstudio Bike-Leasing-Angebote für Dich und Deine Familie Personalrabatte und Vergünstigungen bei zahlreichen Kooperationspartnern gemeinsame Freizeitaktivitäten Freue Dich auf ein Team, welches auch abseits der Arbeit zusammenhält. Auf unserer Website gewinnst Du einen ersten persönlichen Eindruck und erfährst, was die thinkGROUP auszeichnet. Du und die thinkGROUP - das passt? Wir freuen uns auf Deine aussagekräftige Bewerbung mit Angabe Deiner Gehaltsvorstellung und Deines frühestmöglichen Eintrittstermins! Bei fachlichen Rückfragen vermitteln wir Dir gerne schnell und unkompliziert den Kontakt zur Fachabteilung. think about IT GmbH z.H. Carmela Riga HR Manager Gesundheitscampus-Süd 19 44801 Bochum Tel: 0234/3336721-6040 Find more English Speaking Jobs in Germany on Arbeitnow

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Data Analyst H/F - CDI (Lille)
Full TimeOn-siteMid
pythonrsqlmachine learningdata sciencepower bi+7

About WPP Media WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . Dans un souci de clarté et d'accessibilité, nous avons choisi de ne pas utiliser l'écriture inclusive dans nos communications. WPP Media est fermement engagé en faveur de la diversité : nous valorisons l'inclusion et l'égalité, en considérant tous les candidats sans distinction d'identité de genre, d'origine ethnique ou de religion. Tous nos postes sont également ouverts aux personnes en situation de handicap. À propos de WPP : WPP est le partenaire de confiance des plus grandes marques mondiales pour assurer leur croissance. Nous réunissons une intelligence média de pointe, une créativité de classe mondiale, une production de nouvelle génération, des solutions pour transformer le marketing à l'ère de l'IA et un conseil stratégique d'expert au sein d'une seule compagnie. Propulsés par des talents exceptionnels et WPP Open, notre plateforme de marketing agentique, nous déployons l'IA à grande échelle pour aider nos clients à naviguer dans un monde en pleines mutations et à optimiser leurs investissements marketing. Pour plus d'informations, visitez www.wpp.com . À propos de WPP Media : WPP Media est le collectif média global de WPP. Dans un monde où les médias sont omniprésents, nous regroupons la meilleure plateforme, les meilleurs talents et les meilleurs partenaires pour développer les solutions les plus innovantes, offrant une croissance inégalée à nos clients. Pour plus d'informations, visitez www.wppmedia.com . Chez WPP Media, nous croyons en la puissance de notre culture et de nos collaborateurs. Pour réussir dans ce poste, il est fondamental d'incarner les valeurs qui nous unissent : Être Extraordinaire en favorisant un leadership collectif et une créativité transformationnelle. Créer un environnement Ouvert en trouvant l'équilibre parfait entre l'épanouissement de nos collaborateurs et la satisfaction client. Diriger avec Optimisme en stimulant activement la croissance et la curiosité. À propos de Conexance / Choreograph : Choreograph constitue le cœur technologique et data de l'écosystème WPP, reliant la réflexion stratégique marketing à son déploiement opérationnel à grande échelle. Conexance , entité clé de Choreograph, est le leader reconnu du Marketing Data-Driven en France. Forts de 20 ans d'expertise, nous proposons des solutions data uniques basées sur la mutualisation de données transactionnelles (base de données coopérative multi-secteurs) et sur l'Intelligence Artificielle au service de nos clients en France et au Royaume-Uni (UK) . Notre mission : permettre à nos clients (e-commerce, retail, presse, associations/caritatif, etc.) d'exploiter tout le potentiel de leurs données pour optimiser leurs campagnes de prospection, de fidélisation et d'activation (lookalike, scoring, segmentation, CRM, profiling). Missions & Rôle : Au sein du Service Études de Conexance et rattaché directement au Senior Lead Data Analyst , vous intégrez une équipe dynamique et collaborative de 7 collaborateurs (Lead Data Analyst, Data Analysts, prestataires et alternant). Dans un contexte résolument Customer Centric , vous intervenez en support direct du commerce (FR et UK) afin de produire, analyser et restituer des études statistiques à forte valeur ajoutée. Vos responsabilités clés : Production d'analyses statistiques & modélisations : Élaborer des scores de prospection et modèles de lookalike (cas simples à complexes). Réaliser des segmentations, études de profiling et analyses de répondants. Effectuer des comptages et sélections sur critères pour les campagnes de nos clients. Garantie de qualité & respect des délais : Assurer des livrables rigoureux, fiables et structurés, répondant précisément aux besoins opérationnels. Accompagnement commercial & restitution : Accompagner ponctuellement l'équipe commerciale en rendez-vous clients (France et UK) pour expliquer la démarche, valoriser les analyses et formuler des recommandations stratégiques. Amélioration continue & innovation : Contribuer activement aux réflexions inter et intra-services visant à optimiser nos méthodes de production, automatiser nos flux et explorer de nouveaux outils (dont l'IA générative et de nouvelles approches d'analyse). Trajectoire et montée en compétences : À court terme (1 à 3 mois) : Assimiler notre environnement technique et le process de production (FR/UK), devenir autonome sur le traitement des cas courants et consolider une rigueur méthodologique sans faille. À moyen/long terme : Monter en autonomie sur les problématiques statistiques les plus complexes, gérer un portefeuille de demandes de bout en bout, être force de proposition sur l'innovation et animer des restitutions auprès de nos interlocuteurs internes et externes. Profil recherché : Vous êtes passionné par la statistique et la valorisation de la donnée marketing, avec un tempérament curieux, proactif et un excellent relationnel. Formation & Expérience : Formation : Titulaire d'un Master 2 / Bac+5 en Statistiques, Machine Learning, Big Data, Data Science ou Intelligence Artificielle. Expérience : Environ 2 ans d'expérience (alternance/stages significatifs inclus) dans un rôle axé sur le datamining , la modélisation statistique ou l'analyse de données orientée marketing. Compétences Techniques (Hard Skills) : Indispensables : Maîtrise opérationnelle de Python et SQL . Maîtrise de la suite Microsoft Office (Excel avancé, PowerPoint). Connaissance des techniques de Data Visualisation (capacité à mettre en scène la donnée pour la rendre intelligible). Atouts supplémentaires : Connaissance de R et d'outils de dataviz comme Power BI . Sensibilité à l' IA générative appliquée à la data, au storytelling de la donnée et aux méthodes agiles . Compétences Comportementales & Soft Skills : Rigueur, esprit logique et méthode dans la manipulation de volumes importants de données. Excellente communication orale et écrite : aisance relationnelle, élocution claire et capacité à vulgariser des concepts techniques. Personnalité dynamique, souriante, à l'écoute et bienveillante , dotée d'un fort esprit d'équipe et d'une bonne présentation en clientèle. Proactivité : curiosité intellectuelle, autonomie progressive et orientation solution. Langues : Anglais professionnel opérationnel (niveau B2 minimum requis) , indispensable pour collaborer sur les comptes et campagnes du marché UK. Environnement de travail : Vous évoluerez dans une équipe à taille humaine (environ 35 collaborateurs dans l'entreprise, 6 dans l'équipe Études) où la bienveillance, la collaboration, l'écoute, la qualité, la rigueur, la méthode et l'innovation sont des valeurs fondamentales. Un poste basé à Lille, avec une politique de travail hybride : 100% en présentiel durant la période d'essai, puis possibilité de 2 jours de télétravail par semaine en moyenne (avec 12 jours de présence obligatoire par mois sur site après validation de la période d'essai). La vie chez WPP Media et ses avantages : Notre engagement à façonner l'avenir des médias se manifeste par un soutien actif au développement professionnel de nos talents, les aidant à atteindre leur plein potentiel. Cette démarche s'accompagne d'une vision responsable dans nos stratégies d'investissement médiatique, reflétant ainsi notre double priorité : valoriser nos collaborateurs tout en adoptant des pratiques durables dans notre secteur. Les collaborateurs de WPP Media ont un accès privilégié aux réseaux internationaux de WPP Media et WPP, leur permettant de développer leurs passions, d'étendre leur réseau professionnel et de rester à la pointe des innovations en marketing et publicité. Nous disposons de ressources vastes et variées au service de nos collaborateurs, notre entreprise cultive activement l'inclusion des talents de tous horizons. Les réussites et expertises des équipes sont régulièrement mises en lumière lors d'événements fédérateurs qui ponctuent également les moments clés de l'année, renforçant ainsi notre culture d'entreprise collaborative et diversifiée. Nos avantages comprennent : Rémunération et avantages : Salaire compétitif, mutuelle (prise en charge employeur à 70%), prévoyance, titres-restaurant. Congés et équilibre vie pro/perso : 25 jours de congés payés annuels, 12 jours de RTT (pour une année civile complète), jours de congé additionnels par palier de 5 ans d'ancienneté. Flexibilité et télétravail : Durant la période d'essai, 100% en présentiel. Puis possibilité de télétravail 2 jours par semaine en moyenne (avec 12 jours de présence par mois obligatoires sur site après validation de la période d'essai). Mobilité durable : Forfait Mobilité Durable (facultatif au choix du salarié). Process de recrutement : Nous nous engageons à rendre ce process aussi rapide et efficace que possible, et à maintenir une communication ouverte et transparente tout au long du process. Échange RH : Premier entretien de découverte (téléphonique ou visio) avec l'équipe Talent Acquisition. Entretien physique & Business Case : Rencontre dans nos locaux avec le Senior Lead Data Analyst incluant un cas pratique / test technique (pour vous projeter concrètement dans notre quotidien) et un échange avec la HRBP. Entretien de finalisation (si nécessaire) : Échange complémentaire avec le N+2. WPP Media garantit l'égalité des chances et considère tous les candidats sans discrimination ni considération de caractéristiques particulières. Nous nous engageons à cultiver un environnement de respect où chacun se sent à sa place et bénéficie des mêmes opportunités d'évolution professionnelle. Consultez notre politique de confidentialité pour tout savoir sur la protection de vos données politique de confidentialité . Bien que nous étudiions toutes les candidatures reçues, nous ne contactons que les personnes sélectionnées pour un entretien. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide. Find Jobs in France on Arbeitnow

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DevOps Engineer - SIP Core (Voice Platform)
Full TimeOn-siteMid$60,000 - $60,000 / Year
pythonbashterraformansiblekubernetesjenkins+8

DevOps Engineer - SIP Core (Voice Platform) Help us run and evolve a mission-critical SIP platform used by business customers every day. In this role, you ensure stability and availability while actively driving automation and modernization of our voice services. You'll work in a DevOps setup with real ownership and impact — from operations to continuous improvement. What you can expect: -High-impact role on a critical VoIP platform (SIP Core / Ribbon) -Modern DevOps environment with automation and continuous improvement -Collaboration across network, architecture, and operations teams -Agile setup (SAFe) with real influence in PI Planning and execution -Room to shape and improve systems — not just operate them. What impact will you have? - Operate and improve SIP-based telecommunication backend systems - Ensure high availability, stability, and performance of voice services - Monitor systems proactively and prevent incidents - Troubleshoot complex issues and perform root cause analysis - Test and deploy updates, fixes, and improvements - Drive automation, monitoring, and operational efficiency - Contribute to capacity planning and system health checks - Maintain and improve documentation and runbooks - Participate in on-call rotation (Engineer on Duty) Must-haves: - Experience operating SIP/VoIP platforms (ideally Ribbon SIP Core ) - Strong knowledge of SIP, VoIP protocols , and secure transport (RTP, SRTP, TLS) - Solid networking fundamentals (TCP/IP, routing, switching, IPSec) - Experience with Linux systems and system operations - Hands-on mindset in troubleshooting and problem-solving - Good English skills (C1) Nice-to-haves: - Automation & DevOps tools (e.g., Jenkins, Git, Terraform, Ansible) - Scripting skills (Python, Bash) - Experience with Kubernetes / cloud environments - Familiarity with monitoring tools and ITSM / ITIL - Experience working in agile setups - German language skills Want to know more about us? We are serving the Swiss market as Switzerland's leading IT & Telecom company. Thus, we are actively driving digitalization and networking, and tapping new paths for our customers and our employees. Our values are sparking passion, aiming high and standing true. Since 2019, we have been building up the coolest DevOps Center with a wonderful office at the World Trade Center in the heart of Rotterdam. We are currently recruiting IT passionate professionals who are keen on developing high-quality software, have an agile mindset and appreciate the collaboration with motivated colleagues from all over the world. What's in it for you? Work environment Agile way of working, multi-cultural work environment promoting work-life balance Autonomy, flexibility, opportunity and growth Cool office space in the World Trade Center Rotterdam! Are you coming to the office by bike or car? You can park right here at the office Be a part of our events to build a stronger Swisscom community - for example, culture lunches, fun quizzes, game nights and a lot more! Allowances Full relocation support (Housing, settling in, etc.) for you and your family 200 euros per month Telephone/internet allowance 275 euros per month contribution to health insurance 5 Paid training days and access to Swisscom learning platforms Travel allowance reimbursement 500 euros home office allowance Gym subscription, Tax advice, and language course Salary range: 60,000 to 72,000 euros gross per year including holiday allowance Leaves policy Care, bereavement, maternity and paternity leaves 25 days paid vacation days plus Dutch national holidays Contract terms To begin with you will receive a fixed term contract (one year), after 6 months of your employment with us, after a feedback meeting with the team, there is a possibility of extending the contract The salary ranges mentioned in our Job Descriptions are base annual gross salaries including the 8% holiday allowance Since this role consists of varying seniorities, the salary range is between 60k to 75k euros gross per year, including the 8% holiday allowance Find Jobs in Netherlands on Arbeitnow

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Senior DevOps Engineer – GenAI Platform & Azure Cloud (100%)
TemporaryOn-siteSenior
pythonjavaazureterraformdockerkubernetes+9

Du möchtest die Entwicklung innovativer KI-Lösungen aktiv mitgestalten? Als Senior DevOps Engineer berätst du beim Aufbau einer modernen GenAI-Plattform und bringst deine technische Expertise in deren Konzeption und Umsetzung ein. In einem interdisziplinären DevOps-Team aus Data Scientists, Business Engineers und DevOps Engineers entwickelst du gemeinsam zukunftsorientierte Lösungen und treibst den Aufbau der Plattform voran. Hauptaufgaben: Konfiguration und Verwaltung von Azure Cloud-Ressourcen insbesondere API Management, Foundry, OpenAI, AI Search, Document Intelligence sowie Kubernetes-basierten Applikationen wie Langfuse als "Infrastructure-as-Code" mit Terraform, HelmChart und Gitlab Automatisierung von Build-, Test- und Release-Prozessen für GenAI-Anwendungen (LLMOps), um häufige und zuverlässige Releases in Entwicklungs-, Test- und Produktionsumgebungen sicherzustellen Mitarbeit bei der Ausarbeitung von technischen Konzepten für die Umsetzung neuer Anforderungen an die GenAI Plattform, sowie derer laufenden Weiterentwicklung und Optimierung. Dabei sind alle Komponenten (Datenbanken, LLM-Modelle und andere AI-Services, Anwendungen), Aufwände, der laufende Betrieb mit diversen Client Applikationen und insbesondere die unternehmensweiten und regulatorischen Vorgaben zu berücksichtigen und abzustimmen. Implementierung von Mechanismen für das Monitoring und die Alarmierung (z. B. Grafana und Azure Dashboard), um die Stabilität und Effizienz der Plattform zu gewährleisten Support der Client Applikation bei konzeptionellen Fragen, Integrationen (Onboarding) sowie bei Problemen im Betrieb Überwachung der Systemleistung, Betriebszeit und Protokolle, um Probleme frühzeitig zu erkennen und zu beheben Neu- und Weiterentwicklung von code-basierten Umsetzungen für beispielweise Autorisierungsprüfung, Logging/Monitoring, Routinglogiken, Guardrails-Validierungen mit Java, Python, XML, C# (APIM Policies) Anforderungen: Fundierte Kenntnisse mit DevOps-Toolchains (z. B. Git, Gitlab, Docker, Terraform), um die Plattform Services state-of-the-art bereitzustellen und zu betreiben Tiefgehendes Wissen über Azure Cloud-Dienste: Azure API Management, AKS, Azure Functions, OpenAI, AI Search, Document Intelligence, Azure Foundry, Storage Accounts Kenntnisse im Bereich DevOps, einschliesslich der Nutzung von Monitoring-Tools (z. B. Prometheus, Grafana, Azure Monitor), Logging-Systemen und Alarmierung, um eine hohe Verfügbarkeit sicherzustellen Idealerweise Projekterfahrung mit GenAI-Technologien, einschliesslich Retrieval-Augmented Generation (RAG) und Agentic AI, sowie Erfahrung in der Optimierung von GenAI-Lösungen Fähigkeit, Konzepte und Architekturlösungen zu entwickeln und gegenüber IT-Security und Domänen-Architektur zu vertreten Fundiertes Verständnis von Authentisierung- und Autorisierungsverfahren mittels Azure EntraID, RBAC und OAuth Konzepte Kenntnisse in der Softwareentwicklung mit Python und / oder Java Generelle Rahmenbedingungen: Pensum: 100% Einsatz: ab 1. Januar 2027 bis 31. März 2028 Arbeitsort: vor Ort beim Kunden in Zürich Gute Deutsch- und Englischkenntnisse zwingend Find Jobs in Switzerland on Arbeitnow

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community worker
Empower SimcoeBarrie, Canada8 days ago
Full TimeOn-siteMidFrom CA$61,859 / Year
rfirst aidcompliancecompliancecoachingrecruiting+1

Since 1953, Empower Simcoe has specialized in providing a wide range of programs and services for people and families throughout Simcoe County. We are looking for innovative, passionate, and dedicated employees. Our inclusive culture empowers all of us to Be, Belong and Thrive. If you are looking for a career where you can make a difference and feel proud of the work you do everyday, you've come to the right place. Your future starts now at Empower Simcoe!We are recruiting for some Contract full-time Community Participation Support Workers in Barrie. Utilizing a personal outcome-based approach, this position supports people in making informed choices that lead to successful inclusion and participation in community based recreational/leisure activities and work/volunteer placements. This is a six-month contractpensation Package:Work up to 37.5 hours per week;Minimum starting rate of pay is $29.74 per hour;11 statutory holidays are observed;Confidential Employer paid Employee Assistance program for you and your family members;Minimum Requirements for this position include:Degree or Diploma in developmental services or a closely related field; or a combination of education and experience which provides the required knowledgeOne-year recent full-time work experience working in a community setting supporting the integration of people supported through outcome-based approach;Current valid certificates in First Aid, C.P.R. and N.V.C.I.;Demonstrated knowledge of community resources;Excellent written and verbal communication skills;Good computer skills with experience in Microsoft office applications and database administration;Good interpersonal skills;Understanding of The Council on Quality and Leadership and Personal Outcome Measures.Special factors of this position:Needs of this program require flexibility as support needs are based on people's individual needs and community partner requirements;Will be required to work flexible hours, including evenings, weekends, and public holidays, as necessary to support individuals in achieving their personal goalsCurrent valid driver's license and own reliable transportation to be used in the course of employment.Duties and Responsibilities (does not include all duties):Facilitating and supporting participation in meaningful community-based activities which support people to develop skills utilizing community infrastructure such as transportation services, to promote and develop leisure, recreational, employment and volunteer opportunities within the community;Participating in goal planning and attending individual planning meetings as requested and supporting people to attain their desired goals;As a member of a support team, identifying and accessing additional resources needed to support people in the community;Providing personal support and assistance in the community which are of interest and appropriate to the needs of the person supported;Facilitating positive involvement and interaction in the community, acting in a professional manner at all times and as a role model;Assisting people to maintain positive relationships in volunteer placements; providing job coaching as required; Supporting people to successfully transition from school;Knowledgeable of individual program procedures for administering medication in order to dispense medications as needed;Maintaining a system of reporting and communication of all relevant information to those involved in the supported person's outcome-based support plan;Ensuring proper safety measures and awareness training is provided to people supported to ensure they recognize and respond appropriately to any safety issues;Providing personal hygiene supports as necessary;Being respectful and maintaining confidentiality of people's personal information at all times;Ensuring proper use of and maintenance of Agency equipment, buildings, property and other assets;Demonstrating understanding of and compliance with legislative knowledge of the Employment St

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Senior Frontend Developer (Customer Lifecycle)
Full TimeOn-siteSenior
gophpangularlinuxcasales+3

About us Rentman is a B2B SaaS scale-up building a smart, powerful operations management platform to support event and media production teams. Our users plan everything from small shoots to massive festivals in 70+ countries, and they all rely on Rentman to keep their gear, people, and timing perfectly in sync. We're based in Utrecht (NL) with a second office in Toronto (CA), and our 100+ team members work in a culture that's open, flat, and inclusive, where curiosity drives us, ownership matters, and everyone has the freedom to challenge ideas and make an impact. Check out our public roadmap to see what's coming next! Mission of this role As our Senior Frontend Developer in the Customer Lifecycle Team you get new customers to the value of Rentman as quickly and enjoyably as possible. You own the journey from "I just created my account" to daily reliance, making sure that within a tight window (a customer's first big event might be two weeks out), users go from first login to confidently running their operations in the software. Success means customers don't just use Rentman; they rely on it. You focus on ease-of-use, fast implementation, and engagement, so that getting started feels effortless rather than something to dread. Our front-end is an Angular-based SPA with over 3,500 components, built on a custom-made design system with our main data-views powered by AG-Grid. Your mission is to help keep this codebase modern and best-in-class: we strive to stay on the cutting edge, typically migrating to the latest Angular versions within two weeks of release. Maintaining that pace, while keeping the experience fast, intuitive, and effortless for our users, is central to what this role is about. What you'll do Design and build onboarding flows and guided implementation experiences that walk new customers through setup. From configuring their warehouse to creating their first project. Build data migration tooling that lets customers import equipment, contacts, and projects reliably, with smart validation and clear, row-by-row error feedback. Make core interactions feel intuitive and modern. For example, redesigning flows like adding equipment into step-by-step wizards with contextual help. Remove every unnecessary obstacle between a new customer and their first successful project. Roll out changes safely and validate impact (e.g. phasing from trial accounts to existing users) so improvements are proven before becoming the default. Work closely with sales, support, and customer success to identify friction points and turn moments of confusion into moments of clarity. What we are looking for 3 years of experience as a senior in a "product-led" development team/SaaS company Proven experience in contributing to a user-friendly solution Proven experience dealing with complex business rules and data models Proven accountability for feature development solution & success Positive mindset towards using AI in the development toolchain (The development landscape is changing rapidly, and at Rentman, we're open to exploring how this can benefit us in our day-to-day work) For us, having Angular experience is a nice-to-have. At Rentman, we believe that every good developer understands that a framework is a tool to help achieve results and that you can always learn a new framework if you have strong fundamentals. Nice to haves Backend experience (php/node) SaaS customer onboarding experience UX background What you'll get Competitive salary based on experience, plus 8% holiday allowance A results-based bonus based on company performance (up to a full 13th month's salary) 25 vacation days to recharge Earn an extra day of PTO for each year at Rentman, from your second anniversary up to five years. A 4-week paid sabbatical after 5 years to go on an adventure Flexible WFH policy & work from anywhere for 4 weeks a year Pension plan through BrightPensioen An annual training budget to grow your skills Access to OpenUp for mental well-being and personal growth Your choice of a shiny new Windows, Linux, or Mac Stay active with the team: join the Rentman football team, squash and padel, plus a discounted Urban Sports membership An OV Business card if you live more than 10km from the office An ambitious, inclusive, and diverse international team A flexible, energizing workplace with free lunches, office perks (PS5, ping pong, D&D), legendary karaoke nights, and regular team activities An amazing office in the heart of Utrecht, in the historic Drift 17 Our process Here's a breakdown of our recruitment process to give you a clear idea: Call with recruiter about the role (30 mins) Past experience & culture interview (60 mins) Technical review assessment at our office (90 mins) Apply now! For questions or additional information, contact us at At Rentman, we value diversity and are committed to creating an inclusive environment for all employees. We believe that our differences make us stronger and strive to foster a workplace where everyone feels valued and respected. Find Jobs in Netherlands on Arbeitnow

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Talent Lead
AdaptyvLausanne, Germany8 days ago
Full TimeOn-siteLead
restschedulingpayrollrecruitingonboardingbiology

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role We are going from roughly 25 people to roughly 50 in the next twelve months. We have close to 30 roles open right now, across protein scientists, lab automation engineers, backend and product engineers, ML people, and commercial. Hiring is currently run by the founders, on top of everything else the founders do. That is the single biggest thing standing between us and the company we're trying to build. This is the hire that fixes it, and we want to aim high with it. Not a recruiter who works a req list. Someone who owns talent as a function: what we hire for, how we assess it, how we pitch it, who does the recruiting, and what the org actually looks like on the other side of doubling. The hard part of this job is that our roles don't sit in one talent pool. In the same week you might be trying to find a protein biochemist who can read a sensorgram, an engineer who can make a liquid handler behave, and a backend engineer who has never touched biology. Those people read different signals, hang out in different places, and are sold with different pitches. You have to be able to hold all of that at once, and know which one you're talking to. We would love someone who can speak both languages well enough to spot exceptional people themselves. You don't need a PhD and you don't need to ship code. You do need enough real understanding of what our scientists and engineers actually do that you can tell the difference between someone who sounds impressive and someone who is. This is a Lausanne role. Most of the company is here, most of the people you'll hire will be here, and the job is much easier when you can walk over to a hiring manager and argue about a candidate in person. What You'll Do Own hiring end to end. Define what we're hiring for with the team, write and post the roles, build the pipeline, run the process, and close people. Build the recruiting team. As we scale, you'll hire and manage specialist recruiters, most likely a technical recruiter first. You'll be a player-coach for a long time before you're purely a manager. Own the inbound pipeline. We get a lot of applicants and a real share of them are strong. Right now good people can get lost in the pile. Making that never happen is one of the most valuable things you can do here. Run our work trials. A lot of our best hires come through paid work trials rather than interview loops. Scheduling them, matching them to the right people internally, and making them a great experience for the candidate is core to the job. Make the pitch. You'll often be the first human a candidate talks to. You're selling the mission, and you should genuinely believe it. Own Ashby and push it further. Our ATS is already wired into AI tooling: automated candidate scoring, assisted review, templated and scheduled candidate comms. You'll inherit that and be expected to make it better, not merely operate it. Work with hiring managers across biology, software, automation, and commercial. Different teams, different bars, different definitions of good. You'll help each of them get sharper about what they actually need. Build the parts of the org that hiring touches: leveling, compensation bands, interview structure, onboarding, and how we make offers. Fast and light, not corporate. What We're Looking For You've hired technical people at real depth, for several years, in a high-growth environment. You've owned searches that mattered and closed people who had other options. You can talk to scientists and to engineers. You understand enough biology and enough software or lab automation to run a credible conversation, ask a sharp follow-up, and form your own view of someone's quality. This is the thing we care most about and the thing most recruiters cannot do. You are not a mercenary. We are not looking for someone optimizing for placements or fee cycles. We want someone who cares about what we're building, who wants the company to be excellent in ten years, and who treats every hire as a long-term bet rather than a filled seat. You use AI tools seriously. We run on Claude Code and similar tooling across the company, including in hiring. The best version of this person is automating their own pipeline, writing their own scripts against Ashby, and finding leverage the rest of us haven't thought of. If your instinct is that recruiting is purely a human craft that shouldn't be automated, we'll frustrate each other. Self-starter, high autonomy. Nobody will hand you a prioritized req list. You'll figure out what's most broken, fix it, and tell us what you did. Fast learner. You'll be dropped into unfamiliar technical domains constantly and expected to get to a useful level of understanding quickly. Startup speed, not corporate process. Good candidates disappear in days. We'd rather move fast and occasionally be wrong than run a beautiful process that loses people. Good taste in people, and the confidence to hold a bar. Part of this job is telling a founder that the person they liked isn't good enough. Bonus: experience with the Swiss labor market, hiring in European biotech or deep tech, or building a talent function from nothing. What This Role Is Not Not a coordinator role. You'll do scheduling when it needs doing, but if that's what you want to do all day, this will bore you. Not a pure people or HR generalist role. Payroll, benefits, and Swiss employment admin exist and are mostly handled. Talent is the job. Not an agency-style seat. You're not filling reqs handed down to you. You're deciding, with the founders, what we should be hiring for at all. Why This Role Is Interesting Most talent leaders inherit a hiring machine and tune it. You'd be building one, at a company that is unusual enough to be genuinely fun to pitch: an automated lab that AI agents can run experiments in, used by the best pharma companies and the best AI labs in the world. The people you hire over the next two years will decide whether that works. There are not many jobs where the leverage is that direct. Application deadline We are reviewing applicants on a rolling basis. Find more English Speaking Jobs in Switzerland on Arbeitnow

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Data Scientist
MelotechBerlin, Germany8 days ago
Full TimeOn-siteMid
pythongoawssqldata sciencetableau+6

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll turn raw, messy data into insights to tackle the big questions: What is changing in how people find and enjoy media? Why do some bets work and others not? And where is our next opportunity? We sit on a lot of data we do not use yet, and you are the person who turns it into decisions. You work fully autonomously alongside our founder and the team, next to a backend engineer who owns the pipelines and infrastructure, so your time goes into the questions rather than the plumbing. We will walk you through exactly what we are building as you go through the process. On a typical day, your tasks may include: New data sources: finding and opening up new sources that help us make better decisions Trends and audiences: analyzing trends, audience behavior and performance to find the next growth opportunity, and proposing the next step Prediction: prototyping and deploying ML models on AWS for forecasting and content analysis, and checking whether they hold up in production Experiments: designing and reading A/B tests, holdouts and spend experiments across our products and campaigns, and telling the team where the next dollar should go Numbers people trust: owning the dashboards and reports leadership runs on, and investigating what really drives a metric when it moves AI-native workflows: using LLMs and agentic coding tools to accelerate data cleaning, analysis and reporting Who you are We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You don't just build models: you solve business problems and translate statistical findings into actions the team takes. Typically, your profile will look like this: Background: a degree in Data Science, Statistics, Computer Science, Physics, Math or a related quantitative field Experience: 3 or more years of hands-on data science in fast-paced business environments, at Tier 1 consultancies, Big Tech, high-growth start-ups and scale-ups, or media industry leaders Python: expert-level proficiency with the standard data science and ML frameworks, and SQL as a daily tool Data acquisition: you have brought new raw data sources into use and made them reliable enough to decide on Statistical rigour: you design and read experiments properly, you know when a signal is noise, and you have run A/B tests or causal analyses that changed a decision Models in production: you have deployed models that people actually used, and you know what it takes to keep them honest over time AI-native: extensive hands-on experience with agentic coding tools and LLMs in your data workflows From data to decision: you find the opportunity in the data and propose the next step, and your dashboards and visualizations (standard libraries or Tableau) are the ones leadership trusts Collaboration: you work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent Pace: you thrive in a fast-paced and performance-oriented environment A big plus: you're obsessed with music, video or social media What makes this exciting You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call, getting to know you Case interview: 90-minute case discussion, present and debate your skills Founder interview: 90-minute interview with our CEO, going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find Jobs in Germany on Arbeitnow

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Backend Engineer
MelotechBerlin, Germany8 days ago
Full TimeOn-siteMid
pythonjavascripttypescriptgoterraformdocker+7

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Everything we ship runs on data, and the systems that collect, move and store that data need an owner. As Backend Engineer for Data and Orchestration, you take a data platform that grew fast and turn it into one system the whole company can rely on. You keep it running, you keep it clean, and you make it simpler every month. This is not a pure ETL or warehouse role: you work across the pipelines and the backend services they depend on. We will walk you through exactly what we are building as you go through the process. On a typical day, your tasks may include: Data collection: keeping our external data integrations reliable as sources and APIs change Pipelines and storage: owning our event-driven pipelines end to end, from orchestration (Airflow, Dagster or similar) to databases and warehouses, built to survive failures and to keep costs in check Monitoring and reliability: building the monitoring and alerting (Datadog or similar) that keeps our services and integrations healthy, and the checks on freshness, volume, schema and values that catch a wrong number before anyone downstream notices Backend services: working on the production services and APIs our data flows through, including our JavaScript backends Infrastructure and security: owning CI/CD, infrastructure as code and cloud for our data systems, plus access and secrets: who and what can reach which system, including AI tools Simplification: consolidating what grew fast into one documented system, and removing what is no longer needed Working across the team: explaining what the data can and cannot do to non-technical colleagues, and guiding junior engineers as the team grows Who you are We are looking for an engineer who runs what they build, and builds things that keep running. You have operated real production systems in a small, fast-moving company, and people trust you with them. Typically, your profile will look like this: Experience: 3 to 10 years of hands-on engineering, most of it in small or fast-growing companies where you owned production systems yourself rather than handing them to a platform team Python and backend: advanced Python, including async code and long-running data jobs, and enough backend experience to work on production services and APIs, including basic JavaScript or TypeScript backends External data: you have kept third party data integrations reliable in production, and you know how to handle rate limits, retries and changes without notice Pipelines and storage: you have designed and run event-driven, fault-tolerant pipelines handling millions of records a day, with Airflow, Dagster or task queues, on databases such as Postgres, ClickHouse, MongoDB or Redshift, and you know what they cost to run Data reliability and monitoring: your systems report their own problems through freshness, volume, schema and value checks, and you use Datadog or an equivalent to keep services and integrations reliable, because a wrong number that nobody noticed is the outcome you design against Infrastructure and security: you are comfortable with Docker, Terraform, CI/CD and cloud, and ideally you have run an access review and set up role-based access and secrets management Ownership and communication: you have owned a messy data setup end to end at a smaller company and left it simpler, documented and maintainable; you explain trade-offs to non-technical colleagues, push back when it matters, and have guided junior engineers or led a small team Engineering fundamentals: you learned to build solid systems before AI coding tools were everywhere, and today you use them to go faster, not to replace that judgment; you ship fast, keep the codebase clean, and take the time to understand the context before you build Pace: you thrive in a fast-paced and performance-oriented environment What makes this exciting Our data systems feed everything the company does, and you own them outright. You are not maintaining someone else's legacy: you decide how these systems should work and you make them work that way. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call - getting to know you Case interview: 90-minute case discussion - present and debate your skills Founder interview: 90-minute interview with our CEO - going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find more English Speaking Jobs in Germany on Arbeitnow

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Developer Engagement Team (Contract)
RobloxRemote (Fully Remote)9 days ago
ContractFully RemoteMid$41,600 - $52,000 / Year
cacustomer supportrecruitinggenetics

Headquarters: Remote Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is seeking enthusiastic individuals to join our Developer Engagement Team. The ideal candidate will possess a strong focus on understanding issues and critical thinking, alongside the essential qualities required for exceptional customer support. As a contractor of this team, you will play a crucial link between Roblox and its developer community. If you're passionate about the Roblox community and eager to contribute to the success of developers, we'd love to hear from you. You will: Assist in resolving creator day-to-day escalations and emergencies. Manage communication between Roblox staff and creators. Maintain detailed records of customer interactions and transactions, ensuring accurate documentation and timely follow-up. Dedicate 40 hours per week with a working schedule from Saturday to Wednesday plus on-call availability throughout the week You have: Strong verbal and written communication skills. Demonstrates endless patience and a positive attitude. Capable of managing time effectively. In-depth understanding of Roblox and the Roblox community. Solid knowledge of the technical aspects of Roblox Studio. Experience developing on Roblox and/or other creation platforms. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits on this page are applicable to this hourly position. Hourly Pay Range $20 — $25 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time. To apply: https://weworkremotely.com/remote-jobs/roblox-developer-engagement-team-contract

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