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About the role Banks and fintechs use Taktile to automate critical decisions, like credit, fraud, and compliance, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and we've partnered with the Hasso Plattner Institute (HPI), a leading computer science institute in Europe, to offer a dedicated opportunity designed only for HPI students. Starting in April 2027, you'll join one of our engineering teams for 6 months in Berlin and ship real features, with experienced engineers mentoring you along the way. Several HPI alumni already work here, from early-career engineers to senior engineers leading major parts of our product. This program is tailored for Computer Science students eager to gain hands-on industry experience while building the foundations for a world-class engineering career. If you have strong engineering fundamentals and want to grow fast in a team where what you build reaches customers soon after you ship it, we'd love to hear from you. What You'll Do Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both! Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements: Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany. Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong engineering fundamentals with a passion for simplicity and precision. Availability for a 6-month full-time internship. Required Experience Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases, and everything in between! Ideal, But Not Required Exposure to AWS, especially Lambda. Experience with frontend development - React or similar frameworks. Our Offer Work with colleagues who lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a MacBook Pro as well as cutting-edge hardware. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Taktile Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com . Through this exclusive partnership with Taktile, HPI students have the unique opportunity to gain industry experience in a high-growth startup environment while continuing their education among some of Europe's brightest technical minds. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants) We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy . To exercise your rights or ask questions, contact Find more English Speaking Jobs in Germany on Arbeitnow

Werde Teil von PartSpace und gestalte mit uns die Zukunft der Bauteilbeschaffung! PartSpace ist ein wachstumsstarkes, innovatives Tech-Unternehmen mit einer klaren Mission: Mit Künstlicher Intelligenz und echten Engineering-Daten definiert PartSpace den technischen Einkauf der Zukunft neu. Unsere cloudbasierte Plattform macht die Beschaffung von Bauteilen in der Industrie intelligenter – und agiert dabei wie ein Ingenieur. Wir haben Großes vor: Dafür suchen wir ambitionierte Talente, die nicht nur mitdenken, sondern mitgestalten wollen. Bei uns bekommst du Verantwortung ab dem ersten Tag und ein Team, das Technologie mit Haltung verbindet. Bei uns bekommst du nicht nur Gestaltungsfreiraum und Mitspracherecht – du wirst Teil eines ambitionierten Teams, das täglich mit Leidenschaft daran arbeitet, unsere KI-Plattform weiterzuentwickeln und die industrielle Beschaffung nachhaltig zu verändern - und das ist unser Anspruch. Um unser Wachstum weiter voranzutreiben, suchen wir Dich als Product Owner (m/w/d). Lust, mit uns die Industrie effizienter zu machen? Dann freuen wir uns, dich kennenzulernen! Das erwartet Dich Du entwickelst eine klare Produktstrategie für ein neues bzw. wachsendes Produkt im SaaS-/Plattformumfeld Du baust eine skalierbare, priorisierte Roadmap auf, entwickelst sie kontinuierlich weiter und steuerst ihre Umsetzung gemeinsam mit Engineering und Customer Success Du arbeitest nicht nur konzeptionell, sondern entwickelst aktiv mit – sowohl im Backend als auch im Frontend Du bringst Dich bei technischen Fragestellungen ein, verstehst Architekturentscheidungen und stellst sicher, dass Qualität, Performance und Skalierbarkeit berücksichtigt werden Du definierst relevante KPIs, trackst diese datenbasiert und leitest daraus konkrete Produktentscheidungen ab Du übernimmst das Projektmanagement für cross-funktionale Initiativen und sorgst für transparente Kommunikation zwischen allen Stakeholdern Das macht Dich aus Du hast ein abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik, Software Engineering, Computer Science oder eine vergleichbare Ausbildung in diesem Feld absolviert Du hast mindestens 3 Jahre Erfahrung als Full Stack Developer mit sehr guten Kenntnissen in Vue.js/TypeScript sowie .NET/C#Clean Code, SOLID, Unit Testing, Code Reviews und CI/CD sind für Dich selbstverständlich Du bringst Erfahrung in der Steuerung von Produktinitiativen und im Aufbau von Roadmaps mit und arbeitest sicher mit agilen Projektmanagementmethoden Du verstehst skalierbare Softwarearchitekturen und triffst Produktentscheidungen datenbasiert Du denkst strategisch und unternehmerisch und hast ein gutes Gespür für Markttrends Du kommunizierst klar, arbeitest hands-on, strukturiert, lösungsorientiert und eigenverantwortlich Du verfügst über sehr gute Deutsch- und Englischkenntnisse Das bieten wir Dir Attraktives Vergütungspaket mit verschiedenen Bausteinen wie betrieblicher Altersvorsorge und Budget für Weiterbildungen Vergünstigungen über Corporate Benefits - z.B. Business Bike, Firmenfitness, BahnCard und zahlreiche Rabatte bei Partnern Flexible Arbeitszeiten & mobiles Arbeiten - inkl. Möglichkeit für Workation Wachsendes Unternehmen mit viel Drive und Offenheit , in dem du echten Gestaltungsspielraum hast und Verantwortung übernehmen kannst Offene Unternehmenskultur mit flachen Hierarchien - kurze Entscheidungswege, direkte Kommunikation und ein wertschätzendes "Du" auf allen Ebenen Starker Zusammenhalt im Team durch regelmäßige Team-Events, Offsites und gemeinsamen Aktivitäten außerhalb des Büros Moderne Arbeitsumgebung mit guter Verkehrsanbindung, hochwertiger Ausstattung sowie kostenlosen Getränken und Snacks Find Jobs in Germany on Arbeitnow

Werde Teil von PartSpace und gestalte mit uns die Zukunft der Bauteilbeschaffung! PartSpace ist ein wachstumsstarkes, innovatives Tech-Unternehmen mit einer klaren Mission: Mit Künstlicher Intelligenz und echten Engineering-Daten definiert PartSpace den technischen Einkauf der Zukunft neu. Unsere cloudbasierte Plattform macht die Beschaffung von Bauteilen in der Industrie intelligenter – und agiert dabei wie ein Ingenieur. Wir haben Großes vor: Dafür suchen wir ambitionierte Talente, die nicht nur mitdenken, sondern mitgestalten wollen. Bei uns bekommst du Verantwortung ab dem ersten Tag und ein Team, das Technologie mit Haltung verbindet. Bei uns bekommst du nicht nur Gestaltungsfreiraum und Mitspracherecht – du wirst Teil eines ambitionierten Teams, das täglich mit Leidenschaft daran arbeitet, unsere KI-Plattform weiterzuentwickeln und die industrielle Beschaffung nachhaltig zu verändern - und das ist unser Anspruch. Um unser Wachstum weiter voranzutreiben, suchen wir Dich als Full Stack Software Entwickler / Developer (m/w/d) . Lust, mit uns die Industrie effizienter zu machen? Dann freuen wir uns, dich kennenzulernen! Das erwartet Dich Du arbeitest an einem skalierbaren, zukunftsorientierten Produkt, das einen echten Mehrwert für unsere Kunden schafft Du entwickelst moderne, performante Webanwendungen mit klarem Fokus auf Qualität, Performance und Skalierbarkeit Du konzipierst und implementierst Backend-Lösungen in .NET/ C# und stellst saubere Rest-APIS bereit Du setzt benutzerfreundliche Oberflächen mit Element Plus um und gestaltest wartbare Styles mit SASS Du sicherst die Code-Qualität durch automatisierte Tests, Code Reviews und CI/CD-Pipelines Du hast Raum, neue Technologien und Tools auszuprobieren, bringst dein Know-how ein und trägst zur kontinuierlichen Weiterentwicklung unserer Softwarearchitektur bei Das macht Dich aus Du hast ein abgeschlossenes Studium im Bereich Informatik, Software Engineering, Computer Science oder eine vergleichbare Ausbildung in diesem Feld absolviert Du verfügst über mehrere Jahre Berufserfahrung als Full Stack Developer Du beherrscht JavaScript/ TypeScript und arbeitest sicher mit Vue.js, Nuxt.js oder ähnlichen Frameworks Du besitzt sehr gute Kenntnisse in der .NET/ C# Entwicklung im industriellen oder technischen Umfeld Du bringst Erfahrung mit HTML5, CSS3/SCSS und modernen Frontend-Architekturen mit Du kennst dich mit RESTful APIs und Websockets aus Idealerweise hast Du Erfahrung mit Azure DevOps Clean Code, SOLID, Unit Testing und Code Reviews sind für Dich selbstverständlich Du arbeitest strukturiert, lösungsorientiert und kannst Dich gut in bestehende Softwarearchitekturen einarbeiten Du arbeitest strukturiert, eigenverantwortlich und mit hohem Qualitätsanspruch Du bist ein Teamplayer und kommunizierst offen, klar und lösungsorientiert Du verfügst über sehr gute Deutsch- und Englischkenntnisse Das bieten wir Dir Attraktives Vergütungspaket mit verschiedenen Bausteinen wie betrieblicher Altersvorsorge und Weiterbildungsbudget Vergünstigungen über Corporate Benefits - z.B. Business Bike, Firmenfitness, BahnCard und zahlreiche Rabatte bei Partnern Flexible Arbeitszeiten & mobiles Arbeiten - inkl. Möglichkeit für Workation Wachsendes Unternehmen mit viel Drive und Offenheit , in dem du echten Gestaltungsspielraum hast und Verantwortung übernehmen kannst Offene Unternehmenskultur mit flachen Hierarchien - kurze Entscheidungswege, direkte Kommunikation und ein wertschätzendes "Du" auf allen Ebenen Starker Zusammenhalt im Team durch regelmäßige Team-Events, Offsites und gemeinsamen Aktivitäten außerhalb des Büros Moderne Arbeitsumgebung mit guter Verkehrsanbindung, hochwertiger Ausstattung sowie kostenlosen Getränken und Snacks Find Jobs in Germany on Arbeitnow

Als Senior Machine Learning Engineer bij BigData Republic combineer je diepgaande technische expertise met consultancy. Je ontwikkelt niet alleen machine-learningoplossingen, maar brengt ze daadwerkelijk naar productie en adviseert klanten over architectuur, technologie en de beste aanpak om duurzame businesswaarde te realiseren. Voor deze senior positie zoeken we een ervaren professional met minimaal 6 jaar relevante werkervaring, waarvan minimaal 3 jaar hands-on ervaring met machine learning in professionele productieomgevingen. Wat ga je doen? Machine Learning Engineering bevindt zich bij BigData Republic op het snijvlak van Machine Learning, MLOps, Software Engineering, Data Engineering en Cloud Engineering. Je werkt in multidisciplinaire teams bij klanten aan end-to-end machine-learningoplossingen: van probleemdefinitie en architectuur tot ontwikkeling, deployment, monitoring en optimalisatie. Je; analyseert complexe business- en technische vraagstukken en vertaalt deze naar robuuste ML-oplossingen; adviseert klanten en stakeholders over machine learning, MLOps, architectuur en technische keuzes; ontwikkelt en productionaliseert machine-learningmodellen; ontwerpt schaalbare ML- en MLOps-architecturen; bouwt production-grade software rondom machine-learningoplossingen; werkt aan deployment, CI/CD, model serving, monitoring en observability; werkt samen met Data Scientists, Data Engineers, Software Engineers en Cloud Engineers; helpt klanten en collega's inhoudelijk naar een hoger niveau; draagt actief bij aan kennisdeling en thought leadership binnen BigData Republic. De technische uitdagingen variëren van machine-learningmodellen met directe businessimpact tot toepassingen rond deep learning, generative AI, Large Language Models (LLM's), predictive modelling, causal inference en reinforcement learning. Bij BigData Republic zien we een machine-learningmodel niet als het eindproduct. Een model levert pas waarde wanneer het betrouwbaar, schaalbaar en beheersbaar in productie draait. Daarom benaderen we ML-oplossingen als volwaardige softwareproducten. Technologieën waarmee we veel werken zijn onder andere; Python Airflow Apache Spark Kafka Docker Tensorflow Pytorch Kubernetes Terraform AWS/ Azur/ GCP en private-cloud omgevingen Welke technologie je inzet, hangt af van het vraagstuk. We zoeken daarom geen engineer die simpelweg zoveel mogelijk tools kent, maar een ervaren professional die begrijpt welke technische oplossing in welke situatie passend is en waarom. Je werkt aan complexe data-, AI- en machine-learningvraagstukken voor grote organisaties in verschillende sectoren. Tegelijkertijd ben je onderdeel van een klein, informeel en inhoudelijk gedreven team van ervaren Machine Learning Engineers, MLOps Engineers, Data Engineers en Data Scientists. Kennisdeling en thought leadership zijn fundamentele onderdelen van BigData Republic. We organiseren iedere vrijdag kennissessies op kantoor, schrijven inhoudelijke artikelen, organiseren meetups en bezoeken en spreken op conferenties. Je krijgt veel vrijheid om je eigen expertise verder te ontwikkelen en tegelijkertijd collega's en klanten verder te helpen. Dit is nadrukkelijk een senior consultancyrol. Om succesvol te kunnen zijn in deze functie zoeken we iemand die beschikt over: minimaal 6 jaar relevante professionele werkervaring binnen software engineering, data engineering, data science en/of machine learning; minimaal 3 jaar hands-on professionele ervaring met machine learning, waarbij je aantoonbaar ML-oplossingen naar productie hebt gebracht en beheerd, verbeterd of opgeschaald; ervaring met het zelfstandig analyseren van complexe technische vraagstukken en het adviseren van klanten en stakeholders over oplossingen, architectuur en technische keuzes; ruime professionele programmeerervaring met Python; gedegen kennis van software-engineeringprincipes en ervaring met het bouwen van production-grade oplossingen; ervaring met minimaal één grote cloudomgeving: AWS, Azure en/of GCP; ervaring met MLOps, waaronder deployment, CI/CD, monitoring, observability en schaalbaarheid; academisch werk- en denkniveau, bij voorkeur met een achtergrond in Data Science, Computer Science, Engineering of een vergelijkbaar vakgebied; uitstekende beheersing van het Nederlands (minimaal C1) en Engels, zowel mondeling als schriftelijk. Daarnaast is het van toegevoegde waarde als je ervaring hebt met: consultancy binnen complexe enterprise-omgevingen; solution architecture of technical leadership; Kubernetes en Terraform; Spark, Kafka en/of Airflow; TensorFlow en/of PyTorch; generative AI en Large Language Models (LLM's); deep learning, causal inference of reinforcement learning; Scala, Kotlin en/of SQL; open-sourceprojecten, meetups, conferenties of andere vormen van kennisdeling. We verwachten niet dat je met iedere technologie uit onze stack hebt gewerkt. De senioriteit van je ervaring, het daadwerkelijk in productie brengen van machine-learningoplossingen, je vermogen om klanten inhoudelijk te adviseren en je beheersing van het Nederlands zijn voor deze rol wel essentieel. Je bent technisch sterk, maar kijkt verder dan alleen de technologie. Je kunt complexe situaties doorgronden, alternatieven afwegen en uitleggen waarom een bepaalde oplossing wel of niet verstandig is. Je voelt je comfortabel in gesprekken met engineers, architecten en business stakeholders. Tegelijkertijd blijf je graag zelf bouwen. BigData Republic zoekt geen consultant die alleen vanaf de zijlijn adviseert: je combineert senior technisch advies met hands-on Machine Learning Engineering. Benefits Salaris tot €6.700 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Daarbovenop ontvang je 8% vakantietoeslag, jaarlijks uitgekeerd in mei Mobiliteitsbudget van €825 of een leasebudget van €925 per maand Bonus- en pensioenregeling 25 vakantiedagen 36 of 40 uur per week Hybride werken: de juiste balans tussen thuis, kantoor en klant Vrije keuze in laptop en telefoon die het beste bij jou passen Uitdagende én leuke projecten bij aansprekende klanten Ruimte om conferenties te bezoeken, te spreken en certificeringen te behalen Actieve deelname aan ons career path framework: groei met ons mee Een informele cultuur met ruimte voor initiatief en innovatie Vrijdagmiddagborrels, sportactiviteiten en sociale events (vrijblijvend) CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over BigData Republic BigData Republic is een high-end consultancybureau gespecialiseerd in data science, data engineering en machine learning. We zijn AI-native en combineren dit met diepgaande engineering kennis. Op deze manier bieden wij onze klanten technische begeleiding tot duurzame en innovatieve oplossingen. Als niche-consultancyteam onderscheiden we ons van de grote spelers: we leveren kwaliteit boven kwantiteit en willen een thought leader in ons vakgebied zijn. Voor onze klanten richten we ons op het creëren van businesswaarde met innovatieve datasolutions die een duurzame impact hebben. Kennisdeling en thought leadership zijn fundamentele pijlers van onze organisatie: elke vrijdag organiseren we kennissessies op kantoor, we schrijven blogposts, organiseren meetups en bezoeken conferenties. Bij BigData Republic kun je dé expert in de ruimte zijn, en tegelijkertijd elke dag iets nieuws leren van je collega's. Word onderdeel van BigData Republic Wij verwelkomen professionals met verschillende achtergronden en perspectieven en nodigen iedereen die aan de kerncriteria voor deze senior positie voldoet uit om te solliciteren. Interesse? Solliciteer eenvoudig via de Solliciteren -button. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find more English Speaking Jobs in Netherlands on Arbeitnow

As a Senior System Test & Validation Engineer at Optics11, you are responsible for defining and driving system-level verification and validation for complex multidisciplinary products. You develop a strong understanding of the product, customer use cases, system architecture, operating environment, and technical risks, and translate these into effective validation strategies, test setups, and test campaigns. The systems you validate combine sensing hardware, embedded software, Edge computing, networking, cloud software, data processing, algorithms, and customer-facing applications. Your role is therefore focused on validating the complete system and ensuring that critical customer workflows work reliably before release. You work closely with Product, Systems Engineering, Software, Embedded, Hardware, Algorithms, Operations, Manufacturing, and other IVVQ engineers. This is a senior hands-on individual contributor role, combining system-level thinking, test design, technical investigation, and practical validation. Qualifications BSc or MSc in Systems Engineering, Electrical Engineering, Software Engineering, Embedded Systems, Physics, or a related technical discipline. 7+ years of relevant experience in system testing, verification & validation, integration testing, or product qualification. Experience validating complex multidisciplinary products combining hardware and software. Strong understanding of system-level test strategy, risk-based testing, requirements verification, and product qualification. Experience translating requirements and customer use cases into practical validation approaches. Experience designing system test setups and representative test environments. Strong troubleshooting and root-cause analysis skills across subsystem boundaries. Working knowledge of Linux and networking. Experience with automated testing, CI/CD, and modern engineering workflows. Experience with requirements traceability and verification evidence. Strong communication skills in English and a collaborative working style. Eligible for required EU/NATO/security screening or clearance, where applicable. Nice to have Python experience for test automation, analysis, or tooling. Hardware-in-the-Loop or automated system-level testing experience. Experience with Edge systems, Docker, or cloud-connected products. Experience with environmental, reliability, lifetime, or mechanical testing. Experience with industrial sensing, condition monitoring, photonics, energy systems, or similar technologies. Experience with FAT, commissioning, or field validation. Experience with requirements-management tools such as Jira, Polarion. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Work on complex multidisciplinary products combining photonics, hardware, software, cloud, and algorithms. Shape how system-level validation is done within a growing R&D organization. Competitive salary and benefits package. Regular team activities, company events, and fresh team lunches. Find more English Speaking Jobs in Netherlands on Arbeitnow

As a Senior Embedded Software Test Engineer at Optics11, you own the embedded software system-test capability for our sensing interrogator platforms. You define, automate, execute, and continuously improve Hardware-in-the-Loop (HIL) and box-level integration and regression testing so that software and firmware release candidates are qualified on representative hardware before they move downstream to formal verification, FAT (Factory Acceptance Test), field, or application validation. Your scope covers the integrated behavior of embedded Linux applications and services, internal and external APIs, hardware interfaces, firmware and FPGA interactions, system control, calibration and configuration, diagnostics, data acquisition, boot and update behavior, recovery mechanisms, and sensor interfaces. You build and maintain automated test frameworks, HIL benches, test harnesses, CI/CD integration, and objective release evidence that make product behavior repeatable, observable, and measurable. You are part of the Sensing Platform Team and work closely with Embedded Software, FPGA/Firmware, Electronics, Photonics, Architects, Product System Engineering, Product Integration, Verification & Validation, Lifecycle Engineering, application/software teams, and external development partners. The primary ownership of this role is integrated interrogator/HIL system-level testing and release qualification. It complements developer-owned unit and component testing and does not replace independent formal verification, compliance, environmental, or end-to-end application validation performed downstream. Key Responsibilities: HIL & System-Level Test Development Own the interrogator/HIL test strategy, system-level regression suite, and embedded software/firmware release qualification approach for the Sensing Platform. Translate product, software, firmware, and interface requirements into test plans, acceptance criteria, coverage objectives, and automated regression tests. Design, build, and maintain HIL test setups using representative hardware, simulated or real sensor inputs, and remotely controlled lab equipment. Develop maintainable Python-based test automation for device control, test orchestration, data capture, analysis, and reporting. Integrate hardware-based regression testing into CI/CD pipelines, enabling repeatable and largely automated testing of release candidates. Maintain traceability between requirements, test cases, defects, results, and release evidence. Release Qualification & Failure Analysis Qualify embedded software and firmware releases on representative interrogator hardware before downstream V&V, FAT, field, or application validation. Design and execute system, negative, stress, endurance, fault-injection, restart/recovery, upgrade/rollback, and robustness testing based on product risk. Analyze logs, system state, performance, timing, communication behavior, and data outputs to identify regressions and integration issues. Triage failures and support root-cause analysis across software, firmware, FPGA, electronics, photonics, sensors, and system interfaces. Reproduce field, production, and customer issues in laboratory/HIL environments and turn important failures into permanent regression coverage. Provide clear, evidence-based input on release readiness, known limitations, unresolved defects, and coverage gaps. Test Engineering & Technical Ownership Identify quality risks, missing coverage, weak observability, testability limitations, and failure scenarios, and drive practical improvements. Evaluate test frameworks, HIL architectures, simulation approaches, instrumentation, and automation solutions. Work with Software, Firmware/FPGA, Electronics, Photonics, Systems, Integration and V&V engineers to improve design-for-testability, interfaces, diagnostics, and acceptance criteria. Own significant HIL, system-test, and automation workstreams with minimal guidance, while keeping test environments, tooling, configurations, and documentation reliable and reproducible. Contribute to requirement, design, code, test-plan, and test-result reviews. Collaboration & Continuous Improvement Collaborate across multidisciplinary engineering teams to solve complex integration and product-quality issues. Communicate test results, quality risks, defects, dependencies, and release readiness clearly to technical stakeholders. Share knowledge and mentor peers in embedded software testing, HIL automation, failure analysis, and robust test design. Continuously improve automated coverage, CI/CD quality gates, test reporting, diagnostics, test-environment stability, and release processes. Reduce flaky, manual, and repetitive testing through reusable test assets and reliable automation. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided every day. Qualifications: BSc or MSc in Computer Science, Software Engineering, Electrical Engineering, Embedded Systems, or related technical discipline. 5+ years of relevant experience in embedded software testing, embedded systems integration, test automation, HIL testing, software quality engineering, or related fields. Strong experience testing embedded products on physical hardware and integrated systems throughout the product-development lifecycle. Strong Python skills for test automation, tooling, laboratory equipment control, and analysis. Strong understanding of embedded Linux systems, Linux applications and services, software processes, networking, logging/diagnostics, and hardware/software interaction. Hands-on experience designing or maintaining automated test harnesses, HIL or system-level test environments, and regression suites for embedded products. Experience with automated test frameworks such as pytest, Robot Framework, or comparable tools; Git; Linux; Docker; and CI/CD systems such as GitLab CI, Jenkins, GitHub Actions, or similar. Experience testing software APIs, hardware interfaces, inter-process communication, system-control functionality, data acquisition, and integrated embedded-system behavior. Strong analytical skills and experience applying structured test design, defect triage, problem-solving, and root-cause analysis methods. Experience debugging complex issues across software, firmware, FPGA, electronics, and hardware boundaries using logs, traces, diagnostics, and laboratory equipment. Strong communication skills in English and the ability to explain technical findings and product-quality risks clearly to both technical and non-technical stakeholders. Eligible for required EU/NATO/security screening or clearance, where applicable to the role. Nice to have: Experience in multidisciplinary high-tech product development involving software, firmware, electronics, FPGA, photonics, sensing, manufacturing, or defense/security applications. Experience with laboratory automation and instrumentation, for example programmable power supplies, function generators, switching/multiplexing equipment, serial interfaces, oscilloscopes, logic analyzers, or LabVIEW-based setups. Experience with SIL, simulation, device emulation, or virtualized test environments that complement physical HIL testing. ISTQB, or comparable test certification, is a plus, but hands-on embedded test-engineering experience is more important. Experience designing fault-injection, endurance, recovery, power-cycle, upgrade/rollback, and robustness tests for embedded systems. Familiarity with systems engineering, product verification, requirement traceability, configuration management, and product lifecycle management processes. You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find Jobs in Netherlands on Arbeitnow

As a Senior Embedded Software Engineer at Optics11, you are responsible for the development and engineering realization of embedded software solutions throughout the product development lifecycle. You translate allocated product and subsystem requirements into robust software solutions that deliver reliable system functionality while supporting maintainability, testability, scalability, product integration, and long-term product reliability. The embedded software subsystem comprises the software running on our sensing interrogator platforms, including e mbedded Linux applications, hardware interfaces, internal APIs, system control, calibration functionality, diagnostics, data acquisition interfaces, and supporting software infrastructure. You apply specialist embedded software expertise to develop, improve, and mature subsystem solutions that contribute to successful product realization as part of multidisciplinary engineering teams. You work closely with Architects, Photonics, Electronics, FPGA development, Product Integration, Verification & Validation, Lifecycle Engineering, application/software teams, manufacturing, and other subsystem development teams to ensure embedded software solutions are successfully developed and realized as part of the overall product. Key Responsibilities: Develop and maintain embedded software solutions throughout the product development lifecycle. Translate product and subsystem requirements into reliable, maintainable, testable, and scalable software designs. Design, develop, and integrate embedded Linux applications, hardware interfaces, internal APIs, system control, calibration, diagnostics, and related software components. Take ownership of significant software workstreams and mature existing software stacks into reliable product-level solutions. Develop and maintain software testing, automation, CI/CD, diagnostics, and repeatable release processes. Support prototype development, system integration, verification, qualification, industrialization, and product release. Analyze system and software performance and troubleshoot complex issues across software, electronics, FPGA, photonics, and system interfaces. Identify technical risks, evaluate design alternatives, and contribute to architecture, design, and code reviews. Ensure software quality, reliability, security, and suitability for manufacturing, deployment, and long-term product support. Plan and deliver assigned work against agreed priorities and milestones, proactively communicating risks, dependencies, and technical debt. Collaborate across multidisciplinary engineering teams and provide technical guidance within your area of expertise. Share knowledge, lessons learned, and software best practices to strengthen team capability and continuously improve engineering ways of working. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided every day. Qualifications: BSc or MSc in Computer Science, Software Engineering, Electrical Engineering, Embedded Systems, or related technical discipline. 5+ years of relevant experience in embedded Linux software development (userspace and/or BSP). Strong experience developing software for embedded products throughout the product development lifecycle. Strong C++ and/or Python development skills for Linux userspace applications and services. Strong understanding of embedded Linux, Linux application development, and hardware/software interaction. Experience with software architecture, interfaces, APIs, multithreading, inter-process communication, and hardware abstraction. Experience building and maintaining embedded Linux BSPs and images using PetaLinux, Yocto, or similar. Ability to debug and patch existing Linux kernel drivers, device tree, and boot/integration issues. Experience with Git, CMake, unit testing, code reviews, and modern software development practices. Experience developing automated tests and contributing to CI/CD environments; familiarity with Docker in embedded development. Experience with Python for automation, testing, analysis, or tooling. Strong analytical skills and experience applying structured problem-solving and root-cause analysis methods. Experience debugging complex issues across software and hardware boundaries. Strong communication skills in English and a collaborative working style. Eligible for required EU/NATO/security screening or clearance, where applicable to the role. Nice to have: Experience with Xilinx Zynq UltraScale+, heterogeneous SoCs, or comparable embedded Linux platforms. Experience interfacing Linux software with FPGA-based systems. Experience with real-time or high-throughput data acquisition and signal-processing systems. Hands-on Linux kernel work beyond fixes. Experience in multidisciplinary product development environments involving software, firmware, electronics, FPGA, or photonics. Experience supporting prototype development, manufacturing transfer, product releases, or industrialization activities. Familiarity with systems engineering, product verification, configuration management, and product lifecycle management processes. You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find Jobs in Netherlands on Arbeitnow

We are looking for a hands-on Software Test Engineer to ensure the quality and reliability of software solutions used in real-world sensing and data processing systems. Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence. We are expanding our R&D team with a Software Test Engineer who is passionate about quality, structured validation, and delivering robust software in complex engineering environments. As a Software Test Engineer, you will be responsible for defining and executing practical software tests to validate software components (including algorithms, cloud back-end, and user interfaces) that process sensor signals generated by fiber-optic sensing systems. You will work closely with data scientists, signal processing specialists, back-end developers, and software architects to ensure that products meet functional and non-functional requirements. This role requires a hands-on professional with a proactive mindset, a structured approach to software testing, strong attention to detail, and the ability to understand complex technical systems and translate requirements into effective test strategies. Key Responsibilities Perform functional, integration, regression, system, and end-to-end testing across edge devices, cloud services, APIs, databases, and graphical user interfaces. Define test strategies, test plans, test cases, acceptance criteria, and automated test scripts for an edge and cloud software platforms. Identify, document, and track software defects, ensuring clear reproduction steps and proper follow-up. Collaborate with product owners, developers and engineers to understand system requirements and ensure test coverage. Contribute to the development and maintenance of automated test frameworks and pipelines. Test edge–cloud behaviour under interrupted connectivity, delayed or duplicated messages, device restarts, software updates, and synchronization failures. Validate software performance, reliability, and stability under different operating conditions. Support testing of software running on edge hardware, including hardware–software integration in laboratory and field environments. Analyse test results and provide clear, actionable feedback to development teams. Ensure traceability between requirements, test cases, and test results. Integrate automated tests into GitLab CI/CD pipelines and help define appropriate quality gates. Contribute to continuous improvement of testing processes, tools, and quality standards. Participate in release readiness reviews and ensure software meets quality benchmarks before deployment. Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided 3 times/week. Requirements: Technical skills Familiarity with test management and bug tracking tools (e.g., Jira, TestRail). Programming or scripting skills (e.g., Python, C++, Javascript or similar). Experience developing automated tests using tools such as Pytest, Playwright, Cypress, Selenium, or comparable frameworks. Experience testing web-based graphical user interfaces. Experience testing REST APIs, back-end services, or distributed software components. Experience with Docker, AWS, Gitlab , Linux and CI/CD pipelines. Ability to design structured, maintainable, and reproducible automated tests. Familiarity with behaviour-driven development and Gherkin specifications. Qualifications: A degree in computer science, software engineering, embedded systems, or a related technical discipline or equivalent practical experience. Proven experience in software testing or quality assurance. Strong understanding of software testing methodologies and lifecycle. Experience with both exploratory/manual testing and automated testing. Experience testing integrated systems rather than only isolated software components. Proactive in identifying risks and gaps in requirements and investigating failures across multiple system components. Pragmatic and hands-on when working with hardware, software, test environments, and imperfect real-world data. Able to work independently while collaborating closely with different engineering disciplines. Able to communicate technical problems and quality risks clearly to both technical and non-technical stakeholders. Nice to Have: Experience with AWS or another cloud platform. Experience testing data-driven or signal-processing systems. Knowledge of embedded systems and hardware–software integration. Experience testing unreliable-network, offline, reconnection, synchronization, and recovery scenarios. Experience in high-tech, industrial, or defense-related environments. Experience with LabVIEW Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find Jobs in Netherlands on Arbeitnow

We are expanding our team with a Data & ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready. In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems. This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform. Key Responsibilities: Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training. Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition. Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence. Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products. Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows. Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints. Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies. Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage. Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements. Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs. Manage resource and cost controls, including budgets, approvals, and tracking. Contribute to documentation, operational runbooks, and onboarding materials for the platform. Why Join Us? Join one of Europe's most promising deep-tech scale-ups. Shape the future of a rapidly growing multidisciplinary R&D organization. Competitive salary and benefits package. Enjoy regular team activities and company events. Fresh team lunches provided3 times/ week. Required Qualifications: MSc or equivalent with 5+ years' industry experience in Computer Science, Data Engineering, Machine Learning, or a related field. Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure). Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments. Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent). Experience with AWS Sagemaker or Google Vertex AI platforms. Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent). Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent). Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar). Experience with CI/CD systems (e.g., GitLab CI). Programming skills in Python. Experience with monitoring and observability tools (Prometheus, Grafana). Understanding of DevOps and MLOps practices. Ability to work across teams and translate requirements into scalable infrastructure solutions. Nice to Have: Knowledge of data governance, IAM, and security frameworks. Experience with cost optimization and resource management in cloud environments. Familiarity with multi-tenant or multi-product platform architectures. Experience working with EU data compliance constraints in energy, maritime or defense. Security & Compliance: You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening. Find more English Speaking Jobs in Netherlands on Arbeitnow

Who We Are WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. VML, part of WPP, supports WPP Enterprise Solutions by helping brands activate transformation through creativity and experience. About the role WPP Enterprise Solutions in Amsterdam is the central hub for SEO and GEO expertise across the WPP network. From our team, we work with major national and international organisations on complex challenges across search, websites, digital platforms and AI-driven discovery. Our team currently consists of ten SEO and GEO specialists and is growing rapidly. We are therefore looking for a Senior Technical SEO Specialist to strengthen our technical capabilities. This is explicitly not a traditional SEO role with some technical SEO added on top. We are looking for someone who approaches SEO from a technical perspective. Someone who understands how websites, platforms, JavaScript frameworks, crawlers, rendering, APIs and search engines interact, and who can independently investigate and solve complex technical problems. You are comfortable working with SEO specialists, developers, solution architects, product teams and other technical stakeholders. You are able to go deep into the technology when needed, while also translating complex findings into clear priorities, recommendations and implementations for enterprise clients. What you will do As a Senior Technical SEO Specialist, you will be responsible for the technical quality and scalability of our SEO solutions. You will work on complex websites and digital ecosystems where standard SEO checklists are simply not enough. Your responsibilities will include: Conducting advanced technical SEO audits for large and complex websites, platforms and international domain structures. Analysing crawling, indexing and rendering to identify the root causes of technical SEO and indexation issues. Working with modern JavaScript frameworks and rendering architectures, including SSR, CSR, SSG and hybrid rendering. Analysing HTML, JavaScript, HTTP requests, response headers, status codes, redirects, canonicalisation and robots directives. Investigating and optimising crawl architecture, internal linking and information architecture for websites with hundreds of thousands or millions of URLs. Advising on complex technical challenges involving migrations, replatforming, URL structures, faceted navigation, pagination, internationalisation and hreflang. Performing log file analysis to understand how Googlebot and other crawlers interact with websites and to improve crawl efficiency. Developing scripts, tooling and automation that make recurring analyses faster, more reliable and more scalable. Reviewing technical solutions, specifications and implementations from an SEO perspective before they go live. Working closely with developers and engineering teams to translate SEO recommendations into clear technical requirements and tickets. The technical expertise we are looking for For this role, we are looking for someone whose technical capabilities go well beyond using standard SEO tools. You have a strong understanding of: HTML, CSS and JavaScript, and can independently analyse source code and identify technical issues. HTTP and web architecture, including requests and responses, status codes, caching, redirects, headers and CDN behaviour. JavaScript SEO and the implications of client-side and server-side rendering for crawling, rendering and indexing. Technical concepts such as SSR, CSR, SSG, hydration and dynamic rendering. Crawling and indexing, and how search engines technically process websites. txt, XML sitemaps, canonical tags, meta robots, X-Robots-Tag and other crawling and indexing directives. Structured data and Schema.org. Core Web Vitals and web performance. International websites, hreflang and complex multi-market architectures. Website and platform migrations. Crawl budget and scalable website architectures. You do not need to be a software engineer in every area. However, we do expect you to be comfortable reading code, manipulating data, working with APIs and building scripts or technical solutions when needed. What seniority means to us Being senior means more than being able to independently deliver a technical SEO audit. We expect you to be able to break down complex technical problems where there is no obvious answer. You combine experience, data and technical knowledge to define your own investigative approach and develop solutions that can realistically scale within enterprise organisations. You will also: Proactively improve the way we work, using tooling and AI to increase efficiency, quality and impact. Make significant improvements to our SEO guidelines, workflows and processes. Develop innovative solutions to complex SEO challenges, including algorithm changes, large-scale site architecture, crawling and automation. Build frameworks, templates, scripts and automations that can be adopted across multiple clients and projects. Independently develop new approaches for challenges where no standard solution exists. Think beyond what needs to change and consider how solutions can be technically and organisationally implemented at scale. Help other SEO specialists grow their technical capabilities. Act as a senior technical sparring partner for our clients. What you'll need: 10+ years of experience in Technical SEO, with a strong track record of solving complex technical SEO challenges for large-scale, international and/or enterprise websites. Currently based in the Netherlands and able to work from our WPP office in Amsterdam. Deep technical knowledge of how modern websites are built, crawled, rendered and indexed, including strong expertise in HTML, JavaScript, HTTP, web architecture and rendering technologies. Strong experience working with l arge and complex website architectures, including crawling and indexation, faceted navigation, internationalisation, migrations, internal linking and crawl budget optimisation. Experience with Python and/or JavaScript for scripting and automation is highly desirable, as is experience with SQL, BigQuery or comparable data environments. A proven ability to turn complex technical findings into clear, actionable recommendations for developers, product teams, architects and senior stakeholders. Experience developing scalable frameworks, tooling, templates or automations that can be applied across multiple clients or projects. An eager and proactive mindset, with a strong interest in exploring how AI, automation, emerging search technologies and GEO can improve both our work and our clients' performance. Fluent in English. Dutch is highly desirable. What we offer: We offer a competitive salary, a vibrant and collaborative culture and ample opportunities for professional growth. You'll be part of a global network of talent, working on projects that truly make an impact. Our compensation: A gross annual salary range of 80,000€ - 95,000€, based on experience level. Hybrid working flexibility. Access to learning platforms . Wellbeing initiatives including mental health support programs and wellness activities. Employee discounts and access to WPP/VML global benefits ecosystem. Participation in team events, agency gatherings and cross-discipline workshops. At WPP ES, we believe in investing in people who build long-term value for our clients and their customers. Your growth is part of our growth. About WPP 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 agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . WPP (VML/WPP Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Submit Application", this will send any information you add below to WPP (VML/WPP Enterprise Solutions). Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Find more English Speaking Jobs in Netherlands on Arbeitnow

We are AI builders Since 2018, Enjins has done one thing: ship AI that works in production. From Utrecht and Berlin, we build machine learning systems, data infrastructure, and agentic AI layers for European tech companies, with a deliberate focus on climate and energy, where we believe the biggest technological shift of our generation should meet its most critical challenge. We embed directly with the engineering teams of high-growth scale-ups like Crisp, PlanBlue, NextSense, and Groendus. We take ownership of the full technical lifecycle: from first architecture decision to a production-grade system running inside our partner's infrastructure, long after go-live. The role As Lead AI Engineer, you are the technical owner of client engagements. You architect the solution, ship it to production, and make sure it still performs a year later. Alongside the other Leads, you shape the engineering team and the way we build. In practice: Design AI roadmaps with client leadership and own them through to production Create and implement the AI solution architectures to deliver on those roadmaps Set and uphold Data Platform and MLOps standards across your client portfolio, so systems stay healthy after handover Mentor engineers and weigh in on hiring, team growth, and accounts Push our engineering practice forward, including how we use agentic coding workflows to build faster without compromising reliability. We test, document, and share what works, so the whole team levels up Elevate our product mindset to ensure we build the right things, not just more things Why a Lead role here, not somewhere else You'll work across more stacks, clouds, and frontier frameworks in a year than most engineers see in five, with the collective knowledge of the whole team behind you, not the isolation of freelance work. And because our clients build grid software, energy forecasting, and climate infrastructure, you develop real domain expertise in energy and climate systems on top of production-grade AI engineering. In your first months you'll join a client project alongside an experienced Enjins engineer, supported by a dedicated coach. Within half a year, you own the technical roadmap of at least one engagement, mentor engineers, and have a recognised voice in our Asset strategy. Requirements What matters most: you think in systems, own outcomes end-to-end, and grow the people around you. 5+ years building and scaling data & AI solutions in production environments Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines) Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures Proven experience taking LLM-based or agentic systems to production Experience mentoring engineers, overseeing delivery, and managing client accounts You can translate technical complexity into clear decisions for non-technical stakeholders Fluent in English and eligible to work in the Netherlands Benefits We publish our salary ranges and keep terms straightforward. No surprises. Compensation €5,950 - €7,800 gross per month (excl. holiday allowance, pension, bonus, equity, and AI-Leap benefits) Annual performance bonus of 1.5 months' salary Equity participation (VSOP) Growth AI-Leap: our structured development programme with a dedicated certification budget and a specialised track for Leads 1-on-1 mentoring with our founders and external coaching to close your specific gaps Team & culture Office on the Oudegracht in Utrecht (note: not yet fully accessible for individuals with physical disabilities); hybrid setup 28 vacation days, flexible across 3 national holidays Monthly team events and the annual two-day Enjins Summer Summit on AI × Climate OV-First travel policy, fully covered; meat-free catering Apple MacBook Pro and the tools you need Find more English Speaking Jobs in Netherlands on Arbeitnow

Wir rekrutieren einen Software Test Engineer (m/w/d) für ein neu formiertes Team rund um ein Dynamics 365 Projekt. Das Testing wird von Grund auf neu aufgebaut, du bist also massgeblich an der Definition des Vorgehens beteiligt. Du testest im Sprint mit und verantwortest gleichzeitig die Teststrategie, das Testkonzept und die Testplanung. Du koordinierst die UAT mit dem Fachbereich und bringst Qualitätsstandards in ein Team, das seine Testing-Reife gerade aufbaut. Der Fokus liegt überwiegend auf manuellem Testing, mit der Möglichkeit, später in die Automatisierung hineinzuwachsen. Must-have Anforderungen Mehrjährige Erfahrung im Software-Testing in agilen Umgebungen, sicher im Testfalldesign und in der Erstellung von Testkonzepten Erfahrung mit Azure DevOps (Boards, Test Plans) oder Jira Xray Erfahrung im Testing konfigurierter Business-Plattformen, idealerweise Dynamics 365 (CE/CRM) oder Power Platform Sehr gutes Deutsch und fliessendes Englisch Nice-to-have Anforderungen ISTQB Zertifizierung Kenntnisse in Power Platform oder Azure Das erwartet dich Flexibler Homeoffice-Anteil, du entscheidest frei, ob du von zu Hause oder im Büro arbeitest Flache Hierarchien Grosszügige Weiterbildungsförderung Halbtax, Gesundheitsangebote, gemeinsame Anlässe Interessiert an weiteren Informationen? Melde dich gerne unter Find Jobs in Switzerland on Arbeitnow