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We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As a Sales Engineer for Plaid Europe, you'll be a technical lead across the region's sales team, partnering with 5–6 Account Executives from the first technical conversation through proof of concept to signature. You'll run technical discovery, design solutions, and demo and prove Plaid's products to engineers and commercial buyers, making sure every customer's architectural decisions set them up for long-term success on the platform. You'll also help build the Sales Engineering function in Europe, from the demo environments, sample apps, discovery frameworks, and integration playbooks the team sells with, to feeding what you hear from customers back into Plaid's roadmap. Responsibilities Serve as technical lead on active opportunities across Startup, Mid-Market, and Enterprise accounts, partnering with Account Executives throughout the sales cycle. Run technical discovery and map customer requirements to Plaid's products and integration patterns. Deliver tailored demonstrations and own proof-of-concept engagements, including hands-on debugging with customer engineers. Design integration architectures and validate the approach in sandbox with the customer's engineers before signature. Respond to technical, security, and regulatory questionnaires and RFPs. Build and maintain reusable selling assets for European use cases and competitive positioning. Translate customer and prospect feedback into structured product insight for Product and Engineering. Raise the technical fluency of the sales team through enablement and deal reviews. Qualifications 4+ years in a customer-facing technical role, such as sales engineering, solutions, implementation, or customer engineering, ideally at an API platform. Hands-on understanding of APIs and web and mobile integration, including REST, OAuth, webhooks, JSON, and SDKs, with the ability to build and debug a demo in JavaScript, Python, or similar. Experience working in, or selling to, fintech or financial services in the UK or EU. Ability to move between deep technical conversations and business value conversations with different audiences. A consultative approach, strong customer empathy, and clear communication skills. A self-starter who's comfortable building in a growing region with a globally distributed team. Willingness and ability to travel across the UK and Europe up to 25% of the time. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £104,419 – £123,919 • Offers Equity • Offers Commission United Kingdom • £104,419 – £123,919 • Offers Equity • Offers Commission Find Jobs in United Kingdom on Arbeitnow

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As an Implementation Engineer for Plaid Europe, you'll own customer integrations from the moment a contract is signed to the moment they're live in production and growing. You'll write the integration plan, run the kickoff, debug alongside the customer's engineers, validate their sandbox implementation, and see them through go-live, keeping their Account Manager up to date with notes that make the relationship easy to continue. You'll do the same for existing customers adding a new product, use case, or market. You'll also build the resources that make the next integration faster – the checklists, the common pitfalls, and the answers to the questions every customer asks – because this team is small and its leverage comes from what gets written down. Responsibilities Own a portfolio of customer integrations from signature to production launch, including plans, milestones, and exit criteria. Run scheduled implementation support for standard integrations, as well as one-off debugging engagements for customers who need a targeted fix. Lead technical onboarding for existing customers adopting a new Plaid product, use case, or market. Debug integration issues hands-on with customer engineers across API, SDK, OAuth redirect, and webhook behaviour. Validate sandbox implementations and run go-live readiness checks. Use Plaid's own data to proactively diagnose integration and conversion problems. Produce written handovers to Account Management and maintain the team's reusable implementation resources. Escalate recurring integration failures to Product and Engineering as clear patterns, backed by evidence. Qualifications 4+ years in a customer-facing technical role, such as implementation, integration, solutions, or technical account management, ideally at an API platform. Hands-on experience with REST APIs, OAuth, webhooks, JSON, and web and mobile SDKs. Comfort working in Postman or curl and reading API documentation critically. Experience with SQL or other data querying tools. A track record of owning technical projects end to end, with real deadlines and direct relationships with customer engineers. Clear written communication skills, including plans, handovers, and customer updates. Comfort working independently in a small regional team alongside a globally distributed function. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Experience with mobile integrations. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £69,193 – £81,774 • Offers Equity United Kingdom • £69,193 – £81,774 • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About Zelara Most CRM marketing still blasts generic messages at scale and calls it "personalization." Our founders experienced this firsthand in senior roles at HelloFresh, Salesforce, Uber, and others. Backed by top-tier VCs, they decided to build a better way. Zelara is an agentic lifecycle marketing platform that improves with every interaction. It works with the CRM infrastructure our customers already use, replacing static journeys and manual segmentation with a system that creates content, makes individual-level decisions, and learns from every outcome. With bunq, Europe's second-largest neobank, we delivered +7.4% activation and +66% reactivation uplift, measured against a control group. We raised a €3M pre-seed and are generating revenue with paying enterprise customers. We are growing our Solutions Architecture team to make the path from integration to measurable value repeatable across more customers. The Role This is a deeply technical customer role centered on post-sales value realization, with involvement in pre-sales discovery. It is not reactive customer success, nor a pre-sales role that hands off at signature. You own technical value realization for a portfolio of customers, from discovery and onboarding through live experiments, measured results, and scaled adoption. You and the commercial lead run each account as a pair. They own pricing, contracts, expansion, and renewal. You own the technical plan and the evidence behind those decisions: before signature you lead technical discovery alongside them, after signature you are the customer's named technical lead for solution design, data mapping, the experiment plan, and go-live. There is no separate customer success manager; the two of you hold the whole relationship. Product, Engineering, and Science own the platform, the integrations, and the measurement standards. You turn their work into a working customer solution and bring them in when a requirement crosses those lines. Our customers are mid-market and enterprise B2C companies across Europe: fintech, e-commerce, travel, and employee benefits. What You Will Do Lead technical discovery before signature: how the customer makes money, which metric moves it, and what the pilot can credibly promise Own onboarding: align stakeholders, define the data mapping and acceptance criteria, and take the customer live on its existing CRM stack Design and pre-register each experiment to Zelara's scientific standards, because a success bar set after seeing the data is not a result Own the customer-facing readout: reconcile our analysis with the customer's data, and say clearly when the evidence is not decision-ready Enable the customer's team to run campaigns independently Partner with the commercial lead on annual contracts, expansion, and renewal Drive the product loop: turn recurring customer needs into product opportunities and research questions, backed by evidence from live accounts, and use agents to build the scripts and prototypes that unblock an account in the meantime Your First 90 Days 30 Days: Learn the platform and the portfolio, join the active accounts, and take over your first technical customer relationship. 60 Days: Lead one onboarding independently, with the integration, experiment design, and measurement plan agreed before launch. 90 Days: Own a small portfolio and deliver your first evidence-backed results readout. Who You Are You have led deployments, implementations, or technical accounts for mid-market or enterprise customers at a B2B SaaS company, and your work has influenced adoption, renewal, or expansion. You judge a customer's business before you design for it: which metric their leadership is held to, and what matters that nobody has said out loud. You have led real customer integrations and know that a successful import is not the same as usable data. You turn a business question into an analysis plan and understand experiments: control groups, effect sizes, statistical power, and why the design is frozen before it runs. You know the lifecycle marketing stack (Braze, Bird, Iterable, Klaviyo, Customer.io , Emarsys, HubSpot) and how a CRM team works inside it. You are credible with a Head of CRM and their data engineer in the same hour. You say the uncomfortable thing early, and a commitment with a date on it is a commitment. You are AI-native. A software engineering background is not required, but building with agents is: the script that reshapes a customer's export, the prototype that shows a CRM team what we mean. You are fluent in English. German is a strong advantage given our current market focus. Bonus You have run lifecycle or CRM programs in-house, so you know what we ask a customer's team to change. You have experience with experimentation platforms, bandits, or applied ML in production. You have converted pilots or POCs into multi-year contracts and can say what moved the decision. How We Work We are an AI-first team. We adopt what makes us faster and drop what does not, and we value evidence, speed, and clear ownership over process theater. What We Offer Work alongside founders who have built and sold an AI-driven SaaS business and led large-scale B2C operations from the customer's side of the table. A senior individual-contributor role in a small Solutions Architecture team, with real influence on how we deliver. Autonomy over onboarding, pilots, and technical value realization, and a tight working relationship with Product, Science, and Engineering. Direct access to real customers and real production data. Based in Berlin, with regular travel to European customers. A competitive salary and a meaningful equity stake. Your choice of a Deutschlandticket or bike subscription, plus a gym membership. Our Compass We are guided by four core values: Seek Truth: We ground decisions in evidence. When the facts change, we change our mind. Act with Integrity: We build trust through transparency, reliability, and ownership. Put Customers First: We succeed only when they succeed. Find more English Speaking Jobs in Germany on Arbeitnow

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