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Job Description Job Description We are hiring hardworking and reliable EXPERIENCED Ottawa area Skilled Labourer and Carpenters to join our construction team. You'll be working on a variety of residential and commercial projects. Responsibilities ? Assist Site Foreman in a variety of areas ? Assemble Insulated Concrete forms and participate with the pouring and finishing of concrete ? Follow safety protocols and wear appropriate PPE as required by Ontario Occupational Health and Safety protocols ? Requirements ? Previous experience in construction as a Skilled Labourer or Carpenter is 100% Required. ? Physically fit and able to lift 50+ lbs ? Comfortable working outdoors in all weather conditions ? Ability to follow instructions and work independently or as part of a team ? Valid driver's license and reliable transportation is an absolute. ? Safety certifications (e.g., WHMIS, Working at Heights) are a plus but not required as we will assist you with getting these Certifications Compensation & Benefits ? Competitive hourly wage based on experience ? Overtime opportunities ? On-the-job training and potential for advancement ? Supportive team environment To Apply : Send us your resume. We thank all applicants for their interest, but only those selected for an interview will be contacted. We are an equal opportunity employer founded in 1998. \nCompany Description Visit https://borealconstruction.com Company Description Visit https://borealconstruction.com

Take ownership of the development of IoT systems, with a focus on embedded software, system architecture, and hardware and firmware integration Design and develop robust, efficient, and scalable embedded software for IoT products based on microcontroller platforms and, optionally, Linux based systems Provide technical guidance for hardware development in collaboration with external partners, including reviewing and challenging PCB designs to ensure functionality, quality, and manufacturability Collaborate closely with mechanical, software, and cloud engineering teams to ensure seamless end to end system integration Define and refine product requirements from initial concept through to mass production in collaboration with internal and external stakeholders Develop and integrate prototypes and support the transition from development into serial production together with manufacturing partners Contribute to the continuous evolution of the embedded platform, including MCU based solutions as well as optional Linux and Yocto based components Develop pragmatic testing strategies to ensure the functionality, reliability, and quality of both hardware and firmware Support development and manufacturing partners with debugging, technical documentation, and production ramp up Provide Level 3 technical support for complex system, firmware, and hardware related issues Travel approximately 5 to 10 percent to support development partners, product validation activities, and product launches Bachelor's or Master's degree in Electrical Engineering, Embedded Systems, Computer Science, or a related discipline, or equivalent practical experience Several years of hands on experience in embedded development, including firmware development and hardware related engineering Strong understanding of hardware design and PCB layouts, with the ability to review design decisions and collaborate effectively with hardware development teams Strong expertise in embedded firmware development and software architecture for microcontroller platforms such as ARM Cortex, ESP32, or STM32 Experience with sensor integration and wireless communication technologies such as BLE and WiFi Experience with embedded Linux systems, particularly Yocto, is an advantage, especially in environments combining System on Modules with MCU based architectures Broad system level understanding of mechanics, sensors, actuators, and their integration into robust IoT products Hands on experience with hardware testing, debugging tools, and automated production testing Familiarity with certification standards such as CE and FCC is an advantage Fluent in German and English, with additional languages considered a plus Find more English Speaking Jobs in Switzerland on Arbeitnow

Occupancy: 100% / Start date: 01.06.2026/ Initial duration: 12 months We are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms. Responsibilities & Tasks Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices. Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications. Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions. Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments. Support CI/CD processes, automated deployments, observability, and AI platform reliability. Requirements & Qualifications 5–8 years of experience in Data Science, AI Engineering, or related roles. Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management. Experience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services. Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure. Fluent German (C2 level) and strong English communication skills (B2 or higher). Benefits & Culture Work on innovative AI and cloud projects using modern technologies and scalable architectures. Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence. Long-term project opportunity with strong potential for professional growth and impactful work. Find more English Speaking Jobs in Switzerland on Arbeitnow

WHO WE ARE Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. We deliver personalized ads that drive users to install an app or re-engage with one they've stopped using. Our clients are mostly mobile gaming leaders but also span e-commerce, on-demand services, and entertainment apps. Recognized for 10+ years as one of the top mobile retargeting platforms, Adikteev now operates globally from Paris, San Francisco, Barcelona and Seoul and has grown to over 120 employees. Beyond the business, Adikteev is consistently recognized as a great place to work. With an 18-nationality team, a 4.5-day work week, and a strong focus on inclusion, Adikteev is a place where people genuinely stay. WHAT TEAM YOU WILL BE PART OF You will join the backbone of Adikteev's infrastructure. This team ensures that all our systems run reliably, securely and at scale. They own the infrastructure, manage deployments and make sure our platform stays up and performant, even at millions of requests per second. WHAT YOU WILL DO Define Adikteev's reliability strategy and technical roadmap across our multi-region AWS platform. Lead the architecture, scalability, security, observability, and cost efficiency of infrastructure handling over 4 million requests per second. Own high-severity incident response and drive measurable improvements through postmortems and operational best practices. Partner with engineering teams to improve system design, automation, CI/CD, developer experience, and operational autonomy. Lead complex technical initiatives, set engineering standards, and mentor senior engineers. Own reliability decisions and ensure the right trade-offs between performance, delivery speed, infrastructure cost, and business impact. WHO YOU ARE You could be a great addition to our Engineering team if you have: Extensive experience designing and operating large-scale, multi-region AWS infrastructure. Proven track record improving the reliability, scalability, and performance of distributed systems. Expert knowledge of Terraform, Infrastructure-as-Code, observability, Linux, networking, and performance troubleshooting. Strong coding skills in at least two languages, with a focus on automation and maintainable tooling. Experience leading complex incidents and driving lasting operational improvements. Ability to set technical direction, influence across teams, mentor engineers, and communicate clearly. Comfortable making pragmatic decisions in ambiguous situations and balancing technical and business priorities. Calm, collaborative, and committed to blameless operations. Fluent in English. Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France, Spain or the European Union in order to be considered for this position. COMPENSATION Competitive salary between 90,000€ and 130,000€ OTE We are committed to transparent compensation practices. The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs. Final compensation will be tailored to each candidate's background, experience, skills, and overall fit for the role. PERKS AND BENEFITS* Competitive Salary ; Performance-based Quarterly bonus with transparent KPIs; Longevity bonus every 2 years ; 4 1/2 days work week (Fridays afternoon off) ; "RTT" ; Mental Health support ; Flexible remote working policy ; Regular team-life event / activity ; Inclusive parental leave Policy. *Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that's both relevant and compliant wherever you are. OUR PROCESS What to expect as you move through our hiring process: HR Call with Mélanie, Talent Acquisition Partner, Technical interview with Seiji and Alexandre, Staff Engineers, Team fit Interview with Aldenis, VP of Engineering and Daniel, Engineering Team lead, Final interview with Cédric, CTO, and Loïc, CPO. If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team. OUR COMMITMENT We're proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don't meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future. Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status. Find more English Speaking Jobs in France on Arbeitnow

Ben jij de consultant die niet alleen adviseert, maar ook daadwerkelijk de leiding neemt over de uitvoering? Die precies weet hoe een modern data platform eruitziet, welke architectuurkeuzes ertoe doen en hoe je een klant overtuigt om de juiste koers te varen? Dan zoeken wij jou. Bij BigData Republic bouwen we aan de data- en AI-ambities van toonaangevende organisaties. 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 Data & AI Consultant ben jij de schakel tussen strategische visie en hands-on realisatie, een rol die we nu voor het eerst toevoegen aan ons team. Wat ga je doen? Je werkt bij onze klanten op het snijvlak van strategie en technologie. Je bent geen consultant die alleen analyseert en dat tot slides verwerkt. Jij hebt de regie van A tot Z, van hulpvraag tot en met implementatie. Je analyseert- en vertaalt de wensen van onze partners naar technisch elegante oplossingen, van platform engineering tot MLOps en AI implementatie. Vervolgens begeleid je de teams bij onze klanten die dit in productie brengen. Je vertaalt business-uitdagingen naar concrete data- en AI-strategieën en maakt dit inzichtelijk voor zowel C-level als engineering teams. Je adviseert over data-architecturen, platformen en technologiekeuzes (cloud, lakehouse, real-time, batch) en bent in staat dit inhoudelijk te verdedigen. Je leidt de implementatie: je stuurt data engineers en scientists aan, bewaakt de kwaliteit en houdt de grote lijn in het oog. Je bouwt een vertrouwensrelatie op bij de klant en groeit uit tot een vaste sparringpartner op directieniveau. Je draagt bij aan de inhoudelijke kennisbasis van BigData Republic via interne kennissessies, blogposts of externe presentaties. Je hebt minimaal 5 jaar ervaring in een data-gerelateerde rol, waarvan minimaal 3 jaar in een consultancy- of leidende positie. Je hebt diepgaande kennis van data-architectuurprincipes: data mesh, lakehouse, streaming vs. batch, governance en datakwaliteit. Je bent thuis op minimaal een van de grote cloudplatformen (Azure, AWS of GCP) en weet welke managed services wanneer worden ingezet. Je snapt hoe moderne AI-toepassingen werken (LLM's, ML-pipelines, MLOps) en weet hoe je ze verantwoord in productie brengt. Je communiceert helder: je maakt complexe technische materie toegankelijk zonder de diepgang te verliezen. Je werkt het liefst hands-on: je denkt niet alleen mee, maar pakt ook zelf door wanneer dat nodig is. 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 per maand of een leasebudget tot €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 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 talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. 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 Jobs in Netherlands on Arbeitnow

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. What You'll Do: Infrastructure & Platform Engineering : Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines Agent Engineering & Development : Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations Customer Engagement & Assessment : Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What You'll Bring: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing Experience designing high-availability and disaster recovery solutions Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications Experience with state management patterns (short-term and long-term memory) Experience designing and implementing evaluation frameworks for AI applications Strong prompt engineering skills with experience in optimization and A/B testing Experience with vector stores, RAG patterns, and knowledge organization Experience with tool integration, API design, and error handling patterns Strong Python and/or TypeScript development skills Customer-Facing: Customer-facing experience with enterprise customers Experience conducting technical assessments or infrastructure audits Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes: Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences Experience working cross-functionally with engineering teams, product teams, and customers Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation Ability to balance infrastructure architecture with agent development work Strong engineering background with hands-on development experience Compensation: £100,000-£165,000 base salary + equity Location: UK, London Remote with up to 25% travel Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you're tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. Find Jobs in United Kingdom on Arbeitnow

We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform. 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 partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure. You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures. Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains. Key Responsibilities: Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics. Translate complex business and engineering requirements into robust, production-ready algorithms. Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performance Develop signal-processing, feature-engineering, statistical-modelling, and machine-learning pipelines. Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments. Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement. 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 3 times/week. Requirements: Strong professional experience with Python and commonly used scientific and data-science libraries (e.g., pandas, NumPy, SciPy, scikit-learn). Strong foundation in statistical analysis, algorithm development, machine learning, and data modelling. Practical experience analysing sensor signals and time-series data. Solid understanding of signal-processing techniques such as filtering, denoising, spectral analysis, Fourier or wavelet transforms, and dimensionality reduction. Experience developing, validating, and deploying machine-learning models in production or cloud environments. Ability to connect patterns in data with physical processes and real-world system behaviour. Experience with at least one deep-learning framework, such as PyTorch, TensorFlow, or JAX. Ability to write clear, modular, tested, and maintainable Python code. Experience contributing to end-to-end data-science or ML projects, from problem framing and experimentation to deployment and monitoring. Qualifications: You have at least 3 years of professional experience in data science with a focus on sensor data analysis. Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus. M.Sc . or Ph.D. degree in a relevant discipline in science or engineering. Strong analytical and problem-solving skills. Solid understanding of mathematics and physics, with the ability to apply theory to real engineering problems. A pragmatic, hands-on mindset and willingness to work with imperfect real-world data. You have strong verbal and written communication skills in English (Dutch is an advantage). Ability to work independently, take ownership, and collaborate effectively across disciplines. Nice to Have: Experience with partial-discharge, acoustic, vibration, electrical, or other condition-monitoring data. Experience with predictive maintenance, anomaly detection, fault diagnosis, or remaining-useful-life estimation. Knowledge of time-series and general-purpose databases such as QuestDB, MongoDB, or PostgreSQL. Experience with experiment tracking, dataset or model versioning, and reproducible ML workflows. Experience with GPU computing, CUDA, model optimization, or real-time edge deployment. Familiarity with MLOps practices, automated testing, CI/CD, and production model monitoring. 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

Your Opportunity We are looking for a Machine Learning Platform Engineer to join Mollie's Machine Learning Platform team, sitting within our broader Data Domain. Our ML Platform empowers Machine Learning Scientists to develop and deploy custom ML solutions at scale across Mollie, serving domains including Risk & Fraud, Payments, Merchant Experience, Financial Services, Go-to-Market, and more. As the central team responsible for Mollie's Machine Learning Platform, we own the maintenance and continuous enhancement of the platform, ensuring it remains reliable, scalable, and fit for production-grade workloads. We work closely with domain teams to bring custom ML models into products, bridging the gap between research and real-world impact, while also designing and developing custom GenAI tooling and platforms for both internal employees and Mollie's customers. This is a hands-on role where you will spend the majority of your time writing Python and Terraform alongside a team of skilled ML Platform Engineers. Based at Mollie's Lisbon Hub, you will be part of a geographically distributed team spanning Amsterdam and Lisbon, working in a collaborative environment that embraces both remote and hybrid ways of working. What you'll be doing As an ML Platform Engineer, you will: Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across Mollie's domain teams to deliver scalable Machine Learning solutions Deploy and operationalize ML models to production in partnership with Machine Learning Scientists, bridging the gap between experimentation and real-world impact Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and Terraform daily Build and maintain CI/CD pipelines for ML model training and inference, ensuring reliable and automated workflows across environments Deploy, manage, and scale model serving endpoints on Kubernetes, ensuring low-latency, high-availability inference for production workloads Assist in extending, developing, and hosting custom and open-source AI tooling ; enabling teams to rapidly build and deploy AI-powered solutions. Champion MLOps best practices, implementing standards around model versioning, experiment tracking, data validation, and automated retraining Ensure platform reliability by setting up observability, monitoring, and alerting for both infrastructure and deployed models Maintain and enhance open-source AI tooling hosted at Mollie (such as LiteLLM and LibreChat), and further support and expand our generative AI capabilities. What you'll bring 1+ year of experience deploying and maintaining ML models in production Good understanding of MLOps principles, including matters such as experiment tracking, reproducibility, pipeline automation, model versioning, and monitoring in production Strong hands-on Python programming skills, with proficiency across common ML and data libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, and MLflow Familiarity with at a major cloud platform, preferably GCP Experience with containerization (Docker), with preferred familiarity in container orchestration tools such as Kubernetes and Kubeflow. Strong context-switching ability with sharp attention to detail, adapting quickly to shifting priorities Preferably familiarity with infrastructure-as-code (IaC) tools such as Terraform Experience building and maintaining CI/CD pipelines for ML workflows Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy. If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Find more English Speaking Jobs in Netherlands on Arbeitnow

For a renowned Swiss bank in Zurich, we are looking for an experienced cloud and platform engineer. You will provision and run platform services as code, depending on the team, with a focus on Entra ID automation, a data platform on Azure or a Kafka platform on Kubernetes. Your tasks Provision platform services with infrastructure as code, using Terraform, Helm and GitLab Automate build, test and release processes and run CI/CD pipelines Operate and develop Azure Kubernetes and storage accounts Depending on the team, automate Entra ID, build a data platform on Azure Postgres with lakehouse technologies, or upgrade Confluent Kafka on Kubernetes Your profile German at C1 level or higher, the project language is German. Understanding of Swiss German is expected Very good Azure skills and experience with Kubernetes Infrastructure as code with Terraform DevOps toolchain with Git, GitLab, Docker and CI/CD Experience applying cloud security technologies Several years of experience at senior level Nice to have Go, Python or Bash OAuth, SAML, OpenID Connect and Conditional Access Iceberg or Delta, Denodo Find Jobs in Switzerland on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role We're looking for a hands-on scientist-engineer to help build our next-generation DNA synthesis platform, enabling high-throughput, cost-effective production of large and diverse DNA libraries. You'll work at the intersection of chemistry, materials science, bioengineering, and hardware development, designing and building prototypes, running experiments, and optimizing processes to turn new synthesis technologies into reliable, scalable production systems. DNA synthesis is a fundamental part of our protein engineering platform. We're developing new approaches to dramatically increase synthesis throughput while reducing cost and turnaround time. You'll work closely with our scientific and engineering teams to develop and prototype new DNA synthesis technologies. Your focus will be on translating scientific concepts into working hardware and experimental systems, designing and building prototypes, testing different approaches, and continuously improving their performance. This is a highly hands-on, interdisciplinary role combining experimental science with practical engineering. You'll take ownership of prototype development, experimental validation, and process optimization, helping move promising technologies from early concepts to reliable, scalable systems. We're looking for someone who enjoys building things, solving technical problems, and working across disciplines. You don't need to be an expert in DNA synthesis, but you should have strong scientific fundamentals, an engineering mindset, and experience turning ideas into working prototypes. What You'll Do Design, build, and test prototypes for next-generation DNA synthesis technologies. Translate scientific and technical requirements into practical engineering designs and experimental setups. Scope and evaluate different technical approaches, components, materials, and equipment for prototype development. Develop and optimize the chemistry, materials, and processes underlying the synthesis platform. Design and execute experiments to characterize performance, identify limitations, and improve reliability. Work closely with mechanical, electronics, software, and automation engineers to develop integrated experimental systems. Troubleshoot complex technical problems across chemistry, hardware, and process engineering. Develop analytical methods and quality control strategies to measure performance and guide optimization. Help scale successful prototypes into robust, reproducible systems suitable for routine production. Work with external suppliers and engineering partners to source components, evaluate technologies, and accelerate development. What We're Looking For A strong background in chemical engineering, chemistry, materials science, bioengineering, mechanical engineering, or a related field. Hands-on experience designing, building, and testing experimental setups, prototypes, or laboratory equipment. Strong understanding of chemistry, materials, or process engineering, with the ability to apply these fundamentals to practical engineering challenges. Experience developing and optimizing experimental processes, including systematic troubleshooting and performance characterization. Comfortable working across hardware and experimental science, translating scientific requirements into practical engineering solutions. Experience selecting components, evaluating technical trade-offs, and iterating on prototype designs. Strong experimental skills, including designing experiments, analyzing data, and making decisions based on results. Independent, resourceful, and comfortable working on open-ended technical problems. A practical, hands-on approach to engineering, with a focus on building, testing, and improving systems rather than purely theoretical development. Experience with DNA or oligonucleotide synthesis, including chemical or enzymatic approaches, is a plus. Experience with solid-phase synthesis, surface chemistry, or chemical process development is a plus. Familiarity with microfluidics, high-throughput dispensing, or array-based technologies is a plus. Experience with laboratory automation, instrumentation, or custom hardware development is a plus. Experience with CAD, electronics, fluidics, or mechanical prototyping is a plus. Experience scaling experimental technologies from proof of concept to production is a plus. Programming and data analysis experience, particularly in Python, is a plus. Details Location: Lausanne, Switzerland (on-site) Type: Full time Start date: ASAP We review applications on a rolling basis. Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow

Wie ben jij Jij bent expert op het gebied van Integratie-oplossingen in Azure en jij vindt het leuk om vanuit jouw IT-expertise bij te dragen aan de Univé doelstellingen. Daarnaast ben je altijd op zoek naar het verbeteren van het eigen Integratie Platform en de Agile werkwijze. Hierbij weet jij als geen ander je technische en communicatieve vaardigheden in te zetten. Dit doe je het liefst in teamverband. Verder vinden we het belangrijk dat je: hbo/wo werk- en denkniveau hebt met een relevante vakgerichte opleiding; aantoonbare werkervaring hebt als Azure ontwikkelaar (min 3 jaar); kennis hebt van en ervaring hebt met: Microsoft Azure Integration Services (Logic Apps, Service Bus, API Management, Event Grid, Azure Functions); BICEP; Inrichten van CI/CD pipelines voor integratieprojecten; Beheren en optimaliseren van bestaande integratieoplossingen; Architectuur- en security-standaarden; affiniteit hebt met infrastructuur/netwerken en nieuwsgierig bent naar nieuwe IT-ontwikkelingen en innovatieve oplossingen kunt bedenken; ervaring hebt in een Agile omgeving. Wat ga je doen Bij Univé is Integratie een centraal onderdeel van ons IT ecosysteem. Met ons Integratie Platform, gebaseerd op moderne technologie, willen we nóg meer waarde leveren voor al onze domeinen, intern en extern. Als DevOps Engineer binnen het Integratie kavel ben jij hierin een onmisbare schakel. Je bent onderdeel van het Development team van het Integratie Platform je bent iemand die graag de handen uit de mouwen steekt voor het realiseren van Integratie-oplossingen met behulp van Azure; je bent kritisch op de oplossingsrichtingen die we kiezen en hebt daarbij oog voor architectuur- en security-richtlijnen je werkt nauw samen met Business Informatie Analisten en andere collega's om wensen en behoeften uit de organisatie te vertalen naar technische oplossingen; je denkt proactief mee over hoe we ons Integratie Platform kunnen optimaliseren. Zo til je ons Integratie Platform naar een hoger niveau en help je Univé om haar veelzijdige initiatieven te realiseren. Wat bieden wij Bij Univé IT bieden we je een uitdagende functie binnen een dynamische organisatie. De salarisrange ligt tussen € 57.487,28 en € 81.163,44 bruto per jaar op basis van een 38-urige werk-week (inclusief vakantiegeld, een dertiende maand en exclusief variabele beloning). De belangrijkste arbeidsvoorwaarden op een rijtje: je krijgt een prima salaris, afhankelijk van je opleiding, ervaring en competenties; 13e maand; 8% vakantiegeld variabele Collectieve Prestatie Beloning van maximaal 9% van het jaarsalaris; arbeidsvoorwaardenkeuzesysteem: tijd voor geld of geld voor tijd; 26 vakantiedagen bij een 38-urige werkweek; goede studiekostenregeling; prima pensioenvoorziening; reiskostenvergoeding voor woon-werkverkeer en een thuiswerkvergoeding; en natuurlijk: korting op je schade- en zorgverzekeringen bij Univé. Het team heeft een fijne werkplek in Zwolle, vlakbij het station. In overleg met het team behoort 2-3 dagen thuiswerken tot de mogelijkheden. Wie wij zijn Univé is een coöperatieve organisatie die altijd dichtbij haar leden staat en gericht is op het bieden van financiële zekerheid. Het groeiende bedrijfsonderdeel IT staat voor de uitdaging om het IT-landschap en de IT-organisatie binnen de Univé Formule te transformeren in een wendbare, innovatieve, bestuurbare en toekomstgerichte platform-organisatie. Schaalbare technologie en processen, optimaal gebruik van datatoepassingen, integratie en standaardisatie zijn hierbij belangrijke doelen. Zo levert IT kostenefficiënt en effectief een strategische bijdrage aan de continuïteit en innovatiekracht van Univé. Drie focusgebieden De IT-organisatie is ingericht met drie primaire afdelingen op de focusgebieden Kern, Data en Distributie. De CIO Office biedt ondersteuning door richting en houvast te geven aan strategische doelen en kaders. De afdeling IT Data is de drijvende kracht achter datagedreven besluitvorming, waardecreatie uit data en innovatie. De focus ligt op de optimale inzet van data, AI en integratie tussen (eco)systemen. Samengevat: wij creëren strategisch voordeel uit data, AI en integratie. De afdeling IT Data bestaat uit twee teams: Data Solutions - creëren en beheren van data-oplossingen (analyse, BI, ML en AI) om de ambitieuze Univé business doelen te realiseren. Data & Integratie Platform - het centrale punt voor ontsluiten, beheren, integreren, verwerken, opslaan, beschikbaar stellen van data binnen Univé Overige informatie Enthousiast? Solliciteer dan direct via de sollicitatiebutton. Vragen? Wil je eerst meer informatie over de functie of de procedure, dan kun je mailen naar . Bijzonderheden Een screening maakt onderdeel uit van de sollicitatieprocedure. Een assessment kan onderdeel uitmaken van de sollicitatieprocedure. Omdat we zoeken naar mensen die perfect bij ons passen houden we de werving en selectie graag in eigen hand. Wij maken daarom geen gebruik van diensten van uitzendbureaus en/of werving & selectiebureaus . Let op: je krijgt altijd automatisch een ontvangstbevestiging via de mail. Krijg je deze bevestiging niet binnen 24 uur, neem dan even contact met ons op. Find more English Speaking Jobs in Netherlands on Arbeitnow

Backend, Web, Mobile, Infrastruktur & Produktentwicklung Pflegekräfte halten unser Gesundheitssystem am Laufen und bekommen dafür oft am wenigsten Wertschätzung. Das wollen wir ändern. Value ist die Mitarbeiter-App für Pflegeeinrichtungen: Bonussystem und Benefits, Messenger und Newsfeed, Puls-Befragungen und Gesundheitsangebote in einer App. Damit Pflegekräfte gerne in ihrem Job bleiben. Unsere Plattform wächst stetig – und genau deshalb suchen wir dich: eine Person, die Laravel Backend-Entwicklung mit moderner Web-Entwicklung, nativer App-Entwicklung und einem guten Gespür für Produktentwicklung verbindet. Du arbeitest dabei nicht nur an unserer API für die iOS- und Android-Apps. Du entwickelst auch unseren Admin-Bereich, die Web-Version unserer App und unsere nativen Apps weiter und hast die Möglichkeit, aktiv mitzugestalten, wie sich unser Produkt entwickelt. Bei uns bist du nicht einfach dafür verantwortlich, Anforderungen technisch umzusetzen. Du kannst eigene Ideen einbringen, technische Entscheidungen mitgestalten und Features von der ersten Produktidee bis zur fertigen Umsetzung begleiten. Aufgaben ⚙️ Laravel & Backend Development Die Weiterentwicklung unserer Laravel-Anwendung und Backend-Architektur vorantreiben Unsere REST API für die iOS- und Android-Apps entwickeln und erweitern Neue Features von der Datenbank über die Business-Logik bis zur API ganzheitlich umsetzen Sauberen, wartbaren und gut getesteten Code schreiben Unsere Datenbankstrukturen und Schnittstellen sinnvoll weiterentwickeln Authentifizierung, Berechtigungen, Hintergrundprozesse, Notifications und weitere Backend-Funktionalitäten entwickeln Bestehende Systeme analysieren, verbessern und kontinuierlich weiterentwickeln Automatisierte Unit-, Feature- und API-Tests schreiben und unsere Qualitätssicherung weiter verbessern 🌐 Web & Frontend Neben dem Backend entwickelst du unsere Web-Version und unseren Admin-Bereich aktiv weiter. Moderne Web-Oberflächen mit Vue.js, Inertia.js und Tailwind CSS entwickeln Bestehende Features ausbauen und neue Funktionen für unsere Web-Anwendung konzipieren und umsetzen Responsive Web-Anwendungen entwickeln und bestehende Komponenten kontinuierlich verbessern Backend und Frontend ganzheitlich denken und sinnvoll miteinander verbinden 📱 Mobile Development Auch unsere nativen Apps entwickelst du aktiv mit weiter. Die Weiterentwicklung und Erweiterung der Value-App für iOS und Android mit modernen Technologien vorantreiben Native Apps mit Swift/SwiftUI und Kotlin/Jetpack Compose entwickeln Nutzerzentrierte Features konzipieren und technisch auf beiden Plattformen umsetzen Backend, API und Apps ganzheitlich denken und sinnvoll miteinander verbinden ☁️ Infrastruktur & technische Verantwortung Wenn du Lust darauf hast, kannst du bei uns auch Verantwortung für Infrastruktur und technische Abläufe übernehmen. Unsere Hosting- und Deployment-Infrastruktur weiterentwickeln CI/CD-Prozesse verbessern und automatisieren Monitoring, Logging und Performance im Blick behalten Entwicklungs-, Staging- und Produktionsumgebungen optimieren Sicherheits- und Skalierungsthemen mitdenken Neue Tools und Technologien evaluieren und sinnvoll in unseren Stack integrieren Du musst dabei kein klassischer DevOps Engineer sein. Uns ist vor allem wichtig, dass du Interesse daran hast, Verantwortung für die gesamte technische Plattform zu übernehmen und dich gerne in neue Themen einarbeitest. 🚀 Produktentwicklung Bei uns endet deine Rolle nicht beim Schreiben von Code. Du bist ein wichtiger Teil unserer Produktentwicklung. Du bringst deine eigenen Ideen ein und hast echten Einfluss darauf, wie sich Value weiterentwickelt Du arbeitest eng mit Gründer:innen und anderen Teammitgliedern zusammen Du hinterfragst bestehende Lösungen und entwickelst gemeinsam mit uns neue Du kannst eigene Produktideen von der ersten Überlegung bis zur fertigen Funktion begleiten Du hilfst dabei, herauszufinden, was unsere Nutzer:innen wirklich brauchen und wie wir daraus gute digitale Produkte bauen Du denkst nicht nur darüber nach, wie wir etwas technisch umsetzen, sondern auch warum wir es überhaupt bauen KI gehört für uns dazu 🤖 Wir sind überzeugt: KI wird die Art und Weise, wie Software entwickelt und Produkte gestaltet werden, nachhaltig verändern. Deshalb wünschen wir uns, dass du KI-Tools aktiv und selbstverständlich in deinem Arbeitsalltag einsetzt – zum Beispiel beim Entwickeln, Refactoring, Debugging, Testen, Dokumentieren oder bei der Entwicklung neuer Ideen. Gleichzeitig ist uns wichtig, dass du nicht nur weißt, wie man KI Code schreiben lässt, sondern auch verstehst, was dieser Code tut und warum er funktioniert. Du solltest also moderne AI-gestützte Development-Workflows nutzen können und gleichzeitig in der Lage sein, Code eigenständig zu schreiben, zu verstehen, zu debuggen und kritisch zu beurteilen. Qualifikationen Du hast mindestens 5 Jahre Berufserfahrung mit PHP und Laravel und hast in dieser Zeit produktive Anwendungen entwickelt, betrieben und kontinuierlich weiterentwickelt Du hast fundierte Erfahrung mit dem Aufbau und der Weiterentwicklung von REST APIs Du kennst dich sehr gut mit relationalen Datenbanken und sauberem Datenbankdesign aus Clean Code, SOLID, MVC und Dependency Injection sind für dich keine Fremdwörter Du hast Erfahrung mit automatisiertem Testen, insbesondere Unit- und Feature-Tests Du hast praktische Erfahrung mit Vue.js, Inertia.js und Tailwind CSS Du hast Erfahrung mit nativer App-Entwicklung in Swift/SwiftUI und/oder Kotlin/Jetpack Compose – oder hast Lust, dich mit KI-Unterstützung schnell in die Mobile-Entwicklung einzuarbeiten Erfahrung mit CI/CD, Cloud-Infrastruktur, Server-Administration oder Monitoring ist ein Plus Du hast Lust, eigene Ideen einzubringen, Verantwortung zu übernehmen und technische Entscheidungen mitzugestalten Du nutzt KI-Tools selbstverständlich bei der Entwicklung, kannst aber genauso gut ohne KI programmieren und technischen Output kritisch bewerten Du hast Freude daran, komplexe Probleme zu lösen und daraus einfache, robuste und intuitive Lösungen zu machen Du arbeitest gerne eigenverantwortlich und hast Lust, in einem agilen Start-up wirklich etwas zu bewegen Was du studiert hast oder welchen Ausbildungshintergrund du mitbringst, ist uns dabei nicht so wichtig. Uns interessiert vor allem, was du kannst, wie du denkst und was du gemeinsam mit uns entwickeln möchtest. Benefits Echter Gestaltungsspielraum: Du entwickelst nicht nur Features, sondern gestaltest aktiv unser Produkt und seine Zukunft mit Backend + Web + Mobile + Product: Eine abwechslungsreiche Rolle, in der du Backend-Entwicklung, moderne Web-Technologien, App-Entwicklung und Produktentwicklung miteinander verbinden kannst Technische Verantwortung: Wenn du möchtest, kannst du zusätzlich Verantwortung für Infrastruktur, Deployment und unsere technische Plattform übernehmen Wir leben die Werte, die wir mit unserer Value-App auch bei anderen Unternehmen fördern: Wertschätzung, Nachhaltigkeit und Gesundheit Eine Top-Ausstattung mit MacBook Pro + 2 Bildschirmen o. Ä. ganz nach deinem Geschmack Persönliche Weiterentwicklung und eine steile Lernkurve in unserer Start-up-Welt Flexibles Hybrid-Modell: Wir arbeiten gerne 2–3 Tage pro Woche gemeinsam in unserem Berliner Büro, weil wir den persönlichen Austausch und die Zusammenarbeit vor Ort schätzen. Nach einer erfolgreichen Einarbeitung ist natürlich auch flexibles hybrides Arbeiten möglich. Workation? Sehr gerne: Du möchtest für ein paar Wochen aus dem Ausland arbeiten? Nach der Einarbeitung sind auch 1–2 Monate Workation für uns grundsätzlich kein Problem – solange es mit den Aufgaben und dem Team gut vereinbar ist. Ein hochmotiviertes Team, in dem deine Ideen gehört und umgesetzt werden Die Möglichkeit, unmittelbar sichtbaren Einfluss auf ein Produkt und unsere Kunden zu haben Klingt nach dir? Dann freuen wir uns darauf, dich kennenzulernen. Uns ist nicht wichtig, dass du jede einzelne Technologie bereits perfekt beherrschst. Viel wichtiger ist uns, dass du Lust hast, Verantwortung zu übernehmen, Dinge auszuprobieren, kritisch mitzudenken und gemeinsam mit uns ein Produkt zu bauen, das Menschen wirklich gerne nutzen. Start: so bald wie möglich, idealerweise bis zum 01.01.2027. So bewirbst du dich Dein Lebenslauf und ein kurzes Anschreiben reichen uns aus. Schick uns gern Links zu GitHub, Projekten oder Apps mit. Find Jobs in Germany on Arbeitnow